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sha stringlengths 40 40	text stringlengths 1 13.4M	id stringlengths 2 117	tags sequencelengths 1 7.91k	created_at stringlengths 25 25	metadata stringlengths 2 875k	last_modified stringlengths 25 25	arxiv sequencelengths 0 25	languages sequencelengths 0 7.91k	tags_str stringlengths 17 159k	text_str stringlengths 1 447k	text_lists sequencelengths 0 352	processed_texts sequencelengths 1 353
a476c133bf2abd37c49d3009adc52025db78c971	ROOTS Subset: roots_indic-hi_wikipedia # wikipedia - Dataset uid: `wikipedia` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	bigscience-data/roots_indic-hi_wikipedia	[ "language:hi", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:16:09+00:00	{"language": "hi", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:09:21+00:00	[]	[ "hi" ]	TAGS #language-Hindi #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-hi_wikipedia # wikipedia - Dataset uid: 'wikipedia' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	[ "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Hindi #license-cc-by-sa-3.0 #region-us \n", "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]
cf0d7b8689a5eca7f11b25aa4a078dcf8e47eab6	ROOTS Subset: roots_indic-hi_indic_nlp_corpus # Indic NLP Corpus - Dataset uid: `indic_nlp_corpus` ### Description The IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya). ### Homepage https://github.com/AI4Bharat/indicnlp_corpus#publicly-available-classification-datasets ### Licensing - non-commercial use - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International ### Speaker Locations - Southern Asia - India ### Sizes - 3.4019 % of total - 44.4368 % of indic-hi - 64.2943 % of indic-ta - 70.5374 % of indic-ml - 54.2394 % of indic-te - 55.9105 % of indic-kn - 61.6111 % of indic-mr - 67.2242 % of indic-pa - 68.1470 % of indic-or - 64.3879 % of indic-gu - 4.1495 % of indic-bn ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-hi_indic_nlp_corpus	[ "language:hi", "license:cc-by-nc-4.0", "region:us" ]	2022-05-18T08:16:09+00:00	{"language": "hi", "license": "cc-by-nc-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:09:26+00:00	[]	[ "hi" ]	TAGS #language-Hindi #license-cc-by-nc-4.0 #region-us	ROOTS Subset: roots_indic-hi_indic_nlp_corpus # Indic NLP Corpus - Dataset uid: 'indic_nlp_corpus' ### Description The IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya). ### Homepage URL ### Licensing - non-commercial use - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International ### Speaker Locations - Southern Asia - India ### Sizes - 3.4019 % of total - 44.4368 % of indic-hi - 64.2943 % of indic-ta - 70.5374 % of indic-ml - 54.2394 % of indic-te - 55.9105 % of indic-kn - 61.6111 % of indic-mr - 67.2242 % of indic-pa - 68.1470 % of indic-or - 64.3879 % of indic-gu - 4.1495 % of indic-bn ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# Indic NLP Corpus\n\n- Dataset uid: 'indic_nlp_corpus'", "### Description\n\nThe IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya).", "### Homepage\n\nURL", "### Licensing\n\n- non-commercial use\n- cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International", "### Speaker Locations\n\n- Southern Asia\n- India", "### Sizes\n\n- 3.4019 % of total\n- 44.4368 % of indic-hi\n- 64.2943 % of indic-ta\n- 70.5374 % of indic-ml\n- 54.2394 % of indic-te\n- 55.9105 % of indic-kn\n- 61.6111 % of indic-mr\n- 67.2242 % of indic-pa\n- 68.1470 % of indic-or\n- 64.3879 % of indic-gu\n- 4.1495 % of indic-bn", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Hindi #license-cc-by-nc-4.0 #region-us \n", "# Indic NLP Corpus\n\n- Dataset uid: 'indic_nlp_corpus'", "### Description\n\nThe IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya).", "### Homepage\n\nURL", "### Licensing\n\n- non-commercial use\n- cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International", "### Speaker Locations\n\n- Southern Asia\n- India", "### Sizes\n\n- 3.4019 % of total\n- 44.4368 % of indic-hi\n- 64.2943 % of indic-ta\n- 70.5374 % of indic-ml\n- 54.2394 % of indic-te\n- 55.9105 % of indic-kn\n- 61.6111 % of indic-mr\n- 67.2242 % of indic-pa\n- 68.1470 % of indic-or\n- 64.3879 % of indic-gu\n- 4.1495 % of indic-bn", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
c56bfd782d302ccc8b73f3dabe6eaebcb29fcc55	ROOTS Subset: roots_indic-hi_wikisource # wikisource_filtered - Dataset uid: `wikisource_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs	bigscience-data/roots_indic-hi_wikisource	[ "language:hi", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:16:10+00:00	{"language": "hi", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:09:31+00:00	[]	[ "hi" ]	TAGS #language-Hindi #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-hi_wikisource # wikisource_filtered - Dataset uid: 'wikisource_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs	[ "# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of indic-te\n- 1.7155 % of es\n- 19.4800 % of indic-kn\n- 9.1737 % of indic-ml\n- 17.1771 % of indic-mr\n- 17.1870 % of indic-gu\n- 70.3687 % of indic-as\n- 1.0165 % of pt\n- 7.8642 % of indic-pa\n- 1.3501 % of vi\n- 4.9411 % of indic-or\n- 0.5307 % of ca\n- 2.3593 % of id\n- 1.5928 % of eu", "### BigScience processing steps", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- remove_wiki_mojibake\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Hindi #license-cc-by-sa-3.0 #region-us \n", "# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of indic-te\n- 1.7155 % of es\n- 19.4800 % of indic-kn\n- 9.1737 % of indic-ml\n- 17.1771 % of indic-mr\n- 17.1870 % of indic-gu\n- 70.3687 % of indic-as\n- 1.0165 % of pt\n- 7.8642 % of indic-pa\n- 1.3501 % of vi\n- 4.9411 % of indic-or\n- 0.5307 % of ca\n- 2.3593 % of id\n- 1.5928 % of eu", "### BigScience processing steps", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- remove_wiki_mojibake\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs" ]
805259818d09183c6f7c44bdca419ab51903be29	ROOTS Subset: roots_indic-kn_ted_talks_iwslt # WIT Ted Talks - Dataset uid: `ted_talks_iwslt` ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage https://github.com/huggingface/datasets/blob/master/datasets/ted_talks_iwslt/README.md ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-kn_ted_talks_iwslt	[ "language:kn", "license:cc-by-nc-nd-4.0", "region:us" ]	2022-05-18T08:16:19+00:00	{"language": "kn", "license": "cc-by-nc-nd-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:09:36+00:00	[]	[ "kn" ]	TAGS #language-Kannada #license-cc-by-nc-nd-4.0 #region-us	ROOTS Subset: roots_indic-kn_ted_talks_iwslt # WIT Ted Talks - Dataset uid: 'ted_talks_iwslt' ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage URL ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# WIT Ted Talks\n\n- Dataset uid: 'ted_talks_iwslt'", "### Description\n\nThe Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform.", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International\n\nTED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks!", "### Speaker Locations\n\n- Southern Europe\n- Italy", "### Sizes\n\n- 0.0305 % of total\n- 0.0736 % of ar\n- 0.2002 % of pt\n- 0.0128 % of zh\n- 0.2236 % of vi\n- 0.0330 % of fr\n- 0.0545 % of es\n- 0.0122 % of en\n- 0.3704 % of id\n- 0.0373 % of indic-hi\n- 0.0330 % of indic-ta\n- 0.1393 % of indic-mr\n- 0.0305 % of ca\n- 0.1179 % of indic-ur\n- 0.0147 % of indic-bn\n- 0.0240 % of indic-ml\n- 0.0244 % of indic-te\n- 0.0503 % of indic-gu\n- 0.0211 % of indic-kn\n- 0.0274 % of eu\n- 0.0023 % of indic-as\n- 0.0001 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: ar\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ur\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-as\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-pa\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Kannada #license-cc-by-nc-nd-4.0 #region-us \n", "# WIT Ted Talks\n\n- Dataset uid: 'ted_talks_iwslt'", "### Description\n\nThe Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform.", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International\n\nTED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks!", "### Speaker Locations\n\n- Southern Europe\n- Italy", "### Sizes\n\n- 0.0305 % of total\n- 0.0736 % of ar\n- 0.2002 % of pt\n- 0.0128 % of zh\n- 0.2236 % of vi\n- 0.0330 % of fr\n- 0.0545 % of es\n- 0.0122 % of en\n- 0.3704 % of id\n- 0.0373 % of indic-hi\n- 0.0330 % of indic-ta\n- 0.1393 % of indic-mr\n- 0.0305 % of ca\n- 0.1179 % of indic-ur\n- 0.0147 % of indic-bn\n- 0.0240 % of indic-ml\n- 0.0244 % of indic-te\n- 0.0503 % of indic-gu\n- 0.0211 % of indic-kn\n- 0.0274 % of eu\n- 0.0023 % of indic-as\n- 0.0001 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: ar\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ur\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-as\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-pa\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
04934db8806c911e2715fc122187577338628a6b	ROOTS Subset: roots_indic-kn_indic_nlp_corpus # Indic NLP Corpus - Dataset uid: `indic_nlp_corpus` ### Description The IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya). ### Homepage https://github.com/AI4Bharat/indicnlp_corpus#publicly-available-classification-datasets ### Licensing - non-commercial use - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International ### Speaker Locations - Southern Asia - India ### Sizes - 3.4019 % of total - 44.4368 % of indic-hi - 64.2943 % of indic-ta - 70.5374 % of indic-ml - 54.2394 % of indic-te - 55.9105 % of indic-kn - 61.6111 % of indic-mr - 67.2242 % of indic-pa - 68.1470 % of indic-or - 64.3879 % of indic-gu - 4.1495 % of indic-bn ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-kn_indic_nlp_corpus	[ "language:kn", "license:cc-by-nc-4.0", "region:us" ]	2022-05-18T08:16:25+00:00	{"language": "kn", "license": "cc-by-nc-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:09:41+00:00	[]	[ "kn" ]	TAGS #language-Kannada #license-cc-by-nc-4.0 #region-us	ROOTS Subset: roots_indic-kn_indic_nlp_corpus # Indic NLP Corpus - Dataset uid: 'indic_nlp_corpus' ### Description The IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya). ### Homepage URL ### Licensing - non-commercial use - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International ### Speaker Locations - Southern Asia - India ### Sizes - 3.4019 % of total - 44.4368 % of indic-hi - 64.2943 % of indic-ta - 70.5374 % of indic-ml - 54.2394 % of indic-te - 55.9105 % of indic-kn - 61.6111 % of indic-mr - 67.2242 % of indic-pa - 68.1470 % of indic-or - 64.3879 % of indic-gu - 4.1495 % of indic-bn ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# Indic NLP Corpus\n\n- Dataset uid: 'indic_nlp_corpus'", "### Description\n\nThe IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya).", "### Homepage\n\nURL", "### Licensing\n\n- non-commercial use\n- cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International", "### Speaker Locations\n\n- Southern Asia\n- India", "### Sizes\n\n- 3.4019 % of total\n- 44.4368 % of indic-hi\n- 64.2943 % of indic-ta\n- 70.5374 % of indic-ml\n- 54.2394 % of indic-te\n- 55.9105 % of indic-kn\n- 61.6111 % of indic-mr\n- 67.2242 % of indic-pa\n- 68.1470 % of indic-or\n- 64.3879 % of indic-gu\n- 4.1495 % of indic-bn", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Kannada #license-cc-by-nc-4.0 #region-us \n", "# Indic NLP Corpus\n\n- Dataset uid: 'indic_nlp_corpus'", "### Description\n\nThe IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya).", "### Homepage\n\nURL", "### Licensing\n\n- non-commercial use\n- cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International", "### Speaker Locations\n\n- Southern Asia\n- India", "### Sizes\n\n- 3.4019 % of total\n- 44.4368 % of indic-hi\n- 64.2943 % of indic-ta\n- 70.5374 % of indic-ml\n- 54.2394 % of indic-te\n- 55.9105 % of indic-kn\n- 61.6111 % of indic-mr\n- 67.2242 % of indic-pa\n- 68.1470 % of indic-or\n- 64.3879 % of indic-gu\n- 4.1495 % of indic-bn", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
f1a9a3f73bafdca9b028771c4eddb06c78a842d4	ROOTS Subset: roots_indic-kn_wikiquote # wikiquote_filtered - Dataset uid: `wikiquote_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space	bigscience-data/roots_indic-kn_wikiquote	[ "language:kn", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:16:32+00:00	{"language": "kn", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:09:51+00:00	[]	[ "kn" ]	TAGS #language-Kannada #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-kn_wikiquote # wikiquote_filtered - Dataset uid: 'wikiquote_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space	[ "# wikiquote_filtered\n\n- Dataset uid: 'wikiquote_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0462 % of total\n- 0.1697 % of en\n- 0.0326 % of fr\n- 0.0216 % of ar\n- 0.0066 % of zh\n- 0.0833 % of pt\n- 0.0357 % of es\n- 0.0783 % of indic-ta\n- 0.0361 % of indic-hi\n- 0.0518 % of ca\n- 0.0405 % of vi\n- 0.0834 % of indic-ml\n- 0.0542 % of indic-te\n- 0.1172 % of indic-gu\n- 0.0634 % of indic-kn\n- 0.0539 % of id\n- 0.0454 % of indic-ur\n- 0.0337 % of indic-mr\n- 0.0347 % of eu", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-gu\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-kn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space" ]	[ "TAGS\n#language-Kannada #license-cc-by-sa-3.0 #region-us \n", "# wikiquote_filtered\n\n- Dataset uid: 'wikiquote_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0462 % of total\n- 0.1697 % of en\n- 0.0326 % of fr\n- 0.0216 % of ar\n- 0.0066 % of zh\n- 0.0833 % of pt\n- 0.0357 % of es\n- 0.0783 % of indic-ta\n- 0.0361 % of indic-hi\n- 0.0518 % of ca\n- 0.0405 % of vi\n- 0.0834 % of indic-ml\n- 0.0542 % of indic-te\n- 0.1172 % of indic-gu\n- 0.0634 % of indic-kn\n- 0.0539 % of id\n- 0.0454 % of indic-ur\n- 0.0337 % of indic-mr\n- 0.0347 % of eu", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-gu\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-kn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space" ]
8cff63b64b8af1a62d0691009f7db34268760ec7	ROOTS Subset: roots_indic-kn_wikipedia # wikipedia - Dataset uid: `wikipedia` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	bigscience-data/roots_indic-kn_wikipedia	[ "language:kn", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:16:33+00:00	{"language": "kn", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:09:56+00:00	[]	[ "kn" ]	TAGS #language-Kannada #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-kn_wikipedia # wikipedia - Dataset uid: 'wikipedia' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	[ "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Kannada #license-cc-by-sa-3.0 #region-us \n", "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]
72d75ba7e151aea457c8f27b1b80c04bb42cea90	ROOTS Subset: roots_indic-kn_wikisource # wikisource_filtered - Dataset uid: `wikisource_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs	bigscience-data/roots_indic-kn_wikisource	[ "language:kn", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:16:33+00:00	{"language": "kn", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:10:01+00:00	[]	[ "kn" ]	TAGS #language-Kannada #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-kn_wikisource # wikisource_filtered - Dataset uid: 'wikisource_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs	[ "# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of indic-te\n- 1.7155 % of es\n- 19.4800 % of indic-kn\n- 9.1737 % of indic-ml\n- 17.1771 % of indic-mr\n- 17.1870 % of indic-gu\n- 70.3687 % of indic-as\n- 1.0165 % of pt\n- 7.8642 % of indic-pa\n- 1.3501 % of vi\n- 4.9411 % of indic-or\n- 0.5307 % of ca\n- 2.3593 % of id\n- 1.5928 % of eu", "### BigScience processing steps", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- remove_wiki_mojibake\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Kannada #license-cc-by-sa-3.0 #region-us \n", "# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of indic-te\n- 1.7155 % of es\n- 19.4800 % of indic-kn\n- 9.1737 % of indic-ml\n- 17.1771 % of indic-mr\n- 17.1870 % of indic-gu\n- 70.3687 % of indic-as\n- 1.0165 % of pt\n- 7.8642 % of indic-pa\n- 1.3501 % of vi\n- 4.9411 % of indic-or\n- 0.5307 % of ca\n- 2.3593 % of id\n- 1.5928 % of eu", "### BigScience processing steps", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- remove_wiki_mojibake\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs" ]
58e10f7da853cd9b4c5bc029dbe71d6474362fb6	ROOTS Subset: roots_indic-ml_ted_talks_iwslt # WIT Ted Talks - Dataset uid: `ted_talks_iwslt` ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage https://github.com/huggingface/datasets/blob/master/datasets/ted_talks_iwslt/README.md ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-ml_ted_talks_iwslt	[ "language:ml", "license:cc-by-nc-nd-4.0", "region:us" ]	2022-05-18T08:16:37+00:00	{"language": "ml", "license": "cc-by-nc-nd-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:10:06+00:00	[]	[ "ml" ]	TAGS #language-Malayalam #license-cc-by-nc-nd-4.0 #region-us	ROOTS Subset: roots_indic-ml_ted_talks_iwslt # WIT Ted Talks - Dataset uid: 'ted_talks_iwslt' ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage URL ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# WIT Ted Talks\n\n- Dataset uid: 'ted_talks_iwslt'", "### Description\n\nThe Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform.", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International\n\nTED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks!", "### Speaker Locations\n\n- Southern Europe\n- Italy", "### Sizes\n\n- 0.0305 % of total\n- 0.0736 % of ar\n- 0.2002 % of pt\n- 0.0128 % of zh\n- 0.2236 % of vi\n- 0.0330 % of fr\n- 0.0545 % of es\n- 0.0122 % of en\n- 0.3704 % of id\n- 0.0373 % of indic-hi\n- 0.0330 % of indic-ta\n- 0.1393 % of indic-mr\n- 0.0305 % of ca\n- 0.1179 % of indic-ur\n- 0.0147 % of indic-bn\n- 0.0240 % of indic-ml\n- 0.0244 % of indic-te\n- 0.0503 % of indic-gu\n- 0.0211 % of indic-kn\n- 0.0274 % of eu\n- 0.0023 % of indic-as\n- 0.0001 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: ar\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ur\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-as\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-pa\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Malayalam #license-cc-by-nc-nd-4.0 #region-us \n", "# WIT Ted Talks\n\n- Dataset uid: 'ted_talks_iwslt'", "### Description\n\nThe Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform.", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International\n\nTED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks!", "### Speaker Locations\n\n- Southern Europe\n- Italy", "### Sizes\n\n- 0.0305 % of total\n- 0.0736 % of ar\n- 0.2002 % of pt\n- 0.0128 % of zh\n- 0.2236 % of vi\n- 0.0330 % of fr\n- 0.0545 % of es\n- 0.0122 % of en\n- 0.3704 % of id\n- 0.0373 % of indic-hi\n- 0.0330 % of indic-ta\n- 0.1393 % of indic-mr\n- 0.0305 % of ca\n- 0.1179 % of indic-ur\n- 0.0147 % of indic-bn\n- 0.0240 % of indic-ml\n- 0.0244 % of indic-te\n- 0.0503 % of indic-gu\n- 0.0211 % of indic-kn\n- 0.0274 % of eu\n- 0.0023 % of indic-as\n- 0.0001 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: ar\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ur\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-as\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-pa\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
a6af79a4f158b1be77b7c550e52af5a00a3034bd	ROOTS Subset: roots_indic-ml_indic_nlp_corpus # Indic NLP Corpus - Dataset uid: `indic_nlp_corpus` ### Description The IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya). ### Homepage https://github.com/AI4Bharat/indicnlp_corpus#publicly-available-classification-datasets ### Licensing - non-commercial use - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International ### Speaker Locations - Southern Asia - India ### Sizes - 3.4019 % of total - 44.4368 % of indic-hi - 64.2943 % of indic-ta - 70.5374 % of indic-ml - 54.2394 % of indic-te - 55.9105 % of indic-kn - 61.6111 % of indic-mr - 67.2242 % of indic-pa - 68.1470 % of indic-or - 64.3879 % of indic-gu - 4.1495 % of indic-bn ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-ml_indic_nlp_corpus	[ "language:ml", "license:cc-by-nc-4.0", "region:us" ]	2022-05-18T08:16:39+00:00	{"language": "ml", "license": "cc-by-nc-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:10:12+00:00	[]	[ "ml" ]	TAGS #language-Malayalam #license-cc-by-nc-4.0 #region-us	ROOTS Subset: roots_indic-ml_indic_nlp_corpus # Indic NLP Corpus - Dataset uid: 'indic_nlp_corpus' ### Description The IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya). ### Homepage URL ### Licensing - non-commercial use - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International ### Speaker Locations - Southern Asia - India ### Sizes - 3.4019 % of total - 44.4368 % of indic-hi - 64.2943 % of indic-ta - 70.5374 % of indic-ml - 54.2394 % of indic-te - 55.9105 % of indic-kn - 61.6111 % of indic-mr - 67.2242 % of indic-pa - 68.1470 % of indic-or - 64.3879 % of indic-gu - 4.1495 % of indic-bn ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# Indic NLP Corpus\n\n- Dataset uid: 'indic_nlp_corpus'", "### Description\n\nThe IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya).", "### Homepage\n\nURL", "### Licensing\n\n- non-commercial use\n- cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International", "### Speaker Locations\n\n- Southern Asia\n- India", "### Sizes\n\n- 3.4019 % of total\n- 44.4368 % of indic-hi\n- 64.2943 % of indic-ta\n- 70.5374 % of indic-ml\n- 54.2394 % of indic-te\n- 55.9105 % of indic-kn\n- 61.6111 % of indic-mr\n- 67.2242 % of indic-pa\n- 68.1470 % of indic-or\n- 64.3879 % of indic-gu\n- 4.1495 % of indic-bn", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Malayalam #license-cc-by-nc-4.0 #region-us \n", "# Indic NLP Corpus\n\n- Dataset uid: 'indic_nlp_corpus'", "### Description\n\nThe IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya).", "### Homepage\n\nURL", "### Licensing\n\n- non-commercial use\n- cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International", "### Speaker Locations\n\n- Southern Asia\n- India", "### Sizes\n\n- 3.4019 % of total\n- 44.4368 % of indic-hi\n- 64.2943 % of indic-ta\n- 70.5374 % of indic-ml\n- 54.2394 % of indic-te\n- 55.9105 % of indic-kn\n- 61.6111 % of indic-mr\n- 67.2242 % of indic-pa\n- 68.1470 % of indic-or\n- 64.3879 % of indic-gu\n- 4.1495 % of indic-bn", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
09630477c8186c002f36a509d48d51618aebac9d	ROOTS Subset: roots_indic-ml_pib # pib - Dataset uid: `pib` ### Description Sentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau website. ### Homepage - https://huggingface.co/datasets/pib - http://preon.iiit.ac.in/~jerin/bhasha/ ### Licensing Creative Commons Attribution-ShareAlike 4.0 International ### Speaker Locations ### Sizes - 0.0609 % of total - 0.6301 % of indic-hi - 3.2610 % of indic-ur - 0.6029 % of indic-ta - 3.0834 % of indic-or - 1.9757 % of indic-mr - 0.2181 % of indic-bn - 1.8901 % of indic-pa - 1.5457 % of indic-gu - 0.4695 % of indic-ml - 0.5767 % of indic-te ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-ml_pib	[ "language:ml", "license:cc-by-sa-4.0", "region:us" ]	2022-05-18T08:16:40+00:00	{"language": "ml", "license": "cc-by-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:10:17+00:00	[]	[ "ml" ]	TAGS #language-Malayalam #license-cc-by-sa-4.0 #region-us	ROOTS Subset: roots_indic-ml_pib # pib - Dataset uid: 'pib' ### Description Sentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau website. ### Homepage - URL - URL ### Licensing Creative Commons Attribution-ShareAlike 4.0 International ### Speaker Locations ### Sizes - 0.0609 % of total - 0.6301 % of indic-hi - 3.2610 % of indic-ur - 0.6029 % of indic-ta - 3.0834 % of indic-or - 1.9757 % of indic-mr - 0.2181 % of indic-bn - 1.8901 % of indic-pa - 1.5457 % of indic-gu - 0.4695 % of indic-ml - 0.5767 % of indic-te ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# pib\n\n- Dataset uid: 'pib'", "### Description\n\nSentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau\nwebsite.", "### Homepage\n\n- URL\n- URL", "### Licensing\n\nCreative Commons Attribution-ShareAlike 4.0 International", "### Speaker Locations", "### Sizes\n\n- 0.0609 % of total\n- 0.6301 % of indic-hi\n- 3.2610 % of indic-ur\n- 0.6029 % of indic-ta\n- 3.0834 % of indic-or\n- 1.9757 % of indic-mr\n- 0.2181 % of indic-bn\n- 1.8901 % of indic-pa\n- 1.5457 % of indic-gu\n- 0.4695 % of indic-ml\n- 0.5767 % of indic-te", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Malayalam #license-cc-by-sa-4.0 #region-us \n", "# pib\n\n- Dataset uid: 'pib'", "### Description\n\nSentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau\nwebsite.", "### Homepage\n\n- URL\n- URL", "### Licensing\n\nCreative Commons Attribution-ShareAlike 4.0 International", "### Speaker Locations", "### Sizes\n\n- 0.0609 % of total\n- 0.6301 % of indic-hi\n- 3.2610 % of indic-ur\n- 0.6029 % of indic-ta\n- 3.0834 % of indic-or\n- 1.9757 % of indic-mr\n- 0.2181 % of indic-bn\n- 1.8901 % of indic-pa\n- 1.5457 % of indic-gu\n- 0.4695 % of indic-ml\n- 0.5767 % of indic-te", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
30a4968884e3d7c9f92dd6401a580f7f427ac79b	ROOTS Subset: roots_indic-ml_mkb # mkb - Dataset uid: `mkb` ### Description The Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages. ### Homepage - https://huggingface.co/datasets/mkb - http://preon.iiit.ac.in/~jerin/bhasha/ ### Licensing ### Speaker Locations ### Sizes - 0.0009 % of total - 0.0174 % of indic-ta - 0.0252 % of indic-ml - 0.0416 % of indic-mr - 0.0601 % of indic-gu - 0.0047 % of indic-bn - 0.0040 % of indic-hi - 0.0185 % of indic-te - 0.0162 % of indic-or - 0.0026 % of indic-ur ### BigScience processing steps #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-ml_mkb	[ "language:ml", "license:cc-by-sa-4.0", "region:us" ]	2022-05-18T08:16:40+00:00	{"language": "ml", "license": "cc-by-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:10:22+00:00	[]	[ "ml" ]	TAGS #language-Malayalam #license-cc-by-sa-4.0 #region-us	ROOTS Subset: roots_indic-ml_mkb # mkb - Dataset uid: 'mkb' ### Description The Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages. ### Homepage - URL - URL ### Licensing ### Speaker Locations ### Sizes - 0.0009 % of total - 0.0174 % of indic-ta - 0.0252 % of indic-ml - 0.0416 % of indic-mr - 0.0601 % of indic-gu - 0.0047 % of indic-bn - 0.0040 % of indic-hi - 0.0185 % of indic-te - 0.0162 % of indic-or - 0.0026 % of indic-ur ### BigScience processing steps #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# mkb\n\n- Dataset uid: 'mkb'", "### Description\n\nThe Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages.", "### Homepage\n\n- URL\n- URL", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0009 % of total\n- 0.0174 % of indic-ta\n- 0.0252 % of indic-ml\n- 0.0416 % of indic-mr\n- 0.0601 % of indic-gu\n- 0.0047 % of indic-bn\n- 0.0040 % of indic-hi\n- 0.0185 % of indic-te\n- 0.0162 % of indic-or\n- 0.0026 % of indic-ur", "### BigScience processing steps", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Malayalam #license-cc-by-sa-4.0 #region-us \n", "# mkb\n\n- Dataset uid: 'mkb'", "### Description\n\nThe Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages.", "### Homepage\n\n- URL\n- URL", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0009 % of total\n- 0.0174 % of indic-ta\n- 0.0252 % of indic-ml\n- 0.0416 % of indic-mr\n- 0.0601 % of indic-gu\n- 0.0047 % of indic-bn\n- 0.0040 % of indic-hi\n- 0.0185 % of indic-te\n- 0.0162 % of indic-or\n- 0.0026 % of indic-ur", "### BigScience processing steps", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
a21e594c49848e32f9b115b5d76c0f3d8f641841	ROOTS Subset: roots_indic-ml_wikibooks # wikibooks_filtered - Dataset uid: `wikibooks_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	bigscience-data/roots_indic-ml_wikibooks	[ "language:ml", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:16:48+00:00	{"language": "ml", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:10:27+00:00	[]	[ "ml" ]	TAGS #language-Malayalam #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-ml_wikibooks # wikibooks_filtered - Dataset uid: 'wikibooks_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	[ "# wikibooks_filtered\n\n- Dataset uid: 'wikibooks_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0897 % of total\n- 0.2591 % of en\n- 0.0965 % of fr\n- 0.1691 % of es\n- 0.2834 % of indic-hi\n- 0.2172 % of pt\n- 0.0149 % of zh\n- 0.0279 % of ar\n- 0.1374 % of vi\n- 0.5025 % of id\n- 0.3694 % of indic-ur\n- 0.5744 % of eu\n- 0.0769 % of ca\n- 0.0519 % of indic-ta\n- 0.1470 % of indic-mr\n- 0.0751 % of indic-te\n- 0.0156 % of indic-bn\n- 0.0476 % of indic-ml\n- 0.0087 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-pa\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Malayalam #license-cc-by-sa-3.0 #region-us \n", "# wikibooks_filtered\n\n- Dataset uid: 'wikibooks_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0897 % of total\n- 0.2591 % of en\n- 0.0965 % of fr\n- 0.1691 % of es\n- 0.2834 % of indic-hi\n- 0.2172 % of pt\n- 0.0149 % of zh\n- 0.0279 % of ar\n- 0.1374 % of vi\n- 0.5025 % of id\n- 0.3694 % of indic-ur\n- 0.5744 % of eu\n- 0.0769 % of ca\n- 0.0519 % of indic-ta\n- 0.1470 % of indic-mr\n- 0.0751 % of indic-te\n- 0.0156 % of indic-bn\n- 0.0476 % of indic-ml\n- 0.0087 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-pa\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]
1ad4e01052f833b914042cc5f76b82d7e0953fa5	ROOTS Subset: roots_indic-mr_pib # pib - Dataset uid: `pib` ### Description Sentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau website. ### Homepage - https://huggingface.co/datasets/pib - http://preon.iiit.ac.in/~jerin/bhasha/ ### Licensing Creative Commons Attribution-ShareAlike 4.0 International ### Speaker Locations ### Sizes - 0.0609 % of total - 0.6301 % of indic-hi - 3.2610 % of indic-ur - 0.6029 % of indic-ta - 3.0834 % of indic-or - 1.9757 % of indic-mr - 0.2181 % of indic-bn - 1.8901 % of indic-pa - 1.5457 % of indic-gu - 0.4695 % of indic-ml - 0.5767 % of indic-te ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-mr_pib	[ "language:mr", "license:cc-by-sa-4.0", "region:us" ]	2022-05-18T08:16:49+00:00	{"language": "mr", "license": "cc-by-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:10:32+00:00	[]	[ "mr" ]	TAGS #language-Marathi #license-cc-by-sa-4.0 #region-us	ROOTS Subset: roots_indic-mr_pib # pib - Dataset uid: 'pib' ### Description Sentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau website. ### Homepage - URL - URL ### Licensing Creative Commons Attribution-ShareAlike 4.0 International ### Speaker Locations ### Sizes - 0.0609 % of total - 0.6301 % of indic-hi - 3.2610 % of indic-ur - 0.6029 % of indic-ta - 3.0834 % of indic-or - 1.9757 % of indic-mr - 0.2181 % of indic-bn - 1.8901 % of indic-pa - 1.5457 % of indic-gu - 0.4695 % of indic-ml - 0.5767 % of indic-te ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# pib\n\n- Dataset uid: 'pib'", "### Description\n\nSentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau\nwebsite.", "### Homepage\n\n- URL\n- URL", "### Licensing\n\nCreative Commons Attribution-ShareAlike 4.0 International", "### Speaker Locations", "### Sizes\n\n- 0.0609 % of total\n- 0.6301 % of indic-hi\n- 3.2610 % of indic-ur\n- 0.6029 % of indic-ta\n- 3.0834 % of indic-or\n- 1.9757 % of indic-mr\n- 0.2181 % of indic-bn\n- 1.8901 % of indic-pa\n- 1.5457 % of indic-gu\n- 0.4695 % of indic-ml\n- 0.5767 % of indic-te", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Marathi #license-cc-by-sa-4.0 #region-us \n", "# pib\n\n- Dataset uid: 'pib'", "### Description\n\nSentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau\nwebsite.", "### Homepage\n\n- URL\n- URL", "### Licensing\n\nCreative Commons Attribution-ShareAlike 4.0 International", "### Speaker Locations", "### Sizes\n\n- 0.0609 % of total\n- 0.6301 % of indic-hi\n- 3.2610 % of indic-ur\n- 0.6029 % of indic-ta\n- 3.0834 % of indic-or\n- 1.9757 % of indic-mr\n- 0.2181 % of indic-bn\n- 1.8901 % of indic-pa\n- 1.5457 % of indic-gu\n- 0.4695 % of indic-ml\n- 0.5767 % of indic-te", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
3f6a5d6f7ce8e4c51bffb71b54c41b025c4a5124	ROOTS Subset: roots_indic-ml_wikipedia # wikipedia - Dataset uid: `wikipedia` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	bigscience-data/roots_indic-ml_wikipedia	[ "language:ml", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:16:49+00:00	{"language": "ml", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:10:37+00:00	[]	[ "ml" ]	TAGS #language-Malayalam #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-ml_wikipedia # wikipedia - Dataset uid: 'wikipedia' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	[ "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Malayalam #license-cc-by-sa-3.0 #region-us \n", "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]
3d3c3080b0435e20fbb0f68e3c81ac2ecc0a37d1	ROOTS Subset: roots_indic-mr_mkb # mkb - Dataset uid: `mkb` ### Description The Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages. ### Homepage - https://huggingface.co/datasets/mkb - http://preon.iiit.ac.in/~jerin/bhasha/ ### Licensing ### Speaker Locations ### Sizes - 0.0009 % of total - 0.0174 % of indic-ta - 0.0252 % of indic-ml - 0.0416 % of indic-mr - 0.0601 % of indic-gu - 0.0047 % of indic-bn - 0.0040 % of indic-hi - 0.0185 % of indic-te - 0.0162 % of indic-or - 0.0026 % of indic-ur ### BigScience processing steps #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-mr_mkb	[ "language:mr", "license:cc-by-sa-4.0", "region:us" ]	2022-05-18T08:16:50+00:00	{"language": "mr", "license": "cc-by-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:10:47+00:00	[]	[ "mr" ]	TAGS #language-Marathi #license-cc-by-sa-4.0 #region-us	ROOTS Subset: roots_indic-mr_mkb # mkb - Dataset uid: 'mkb' ### Description The Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages. ### Homepage - URL - URL ### Licensing ### Speaker Locations ### Sizes - 0.0009 % of total - 0.0174 % of indic-ta - 0.0252 % of indic-ml - 0.0416 % of indic-mr - 0.0601 % of indic-gu - 0.0047 % of indic-bn - 0.0040 % of indic-hi - 0.0185 % of indic-te - 0.0162 % of indic-or - 0.0026 % of indic-ur ### BigScience processing steps #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# mkb\n\n- Dataset uid: 'mkb'", "### Description\n\nThe Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages.", "### Homepage\n\n- URL\n- URL", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0009 % of total\n- 0.0174 % of indic-ta\n- 0.0252 % of indic-ml\n- 0.0416 % of indic-mr\n- 0.0601 % of indic-gu\n- 0.0047 % of indic-bn\n- 0.0040 % of indic-hi\n- 0.0185 % of indic-te\n- 0.0162 % of indic-or\n- 0.0026 % of indic-ur", "### BigScience processing steps", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Marathi #license-cc-by-sa-4.0 #region-us \n", "# mkb\n\n- Dataset uid: 'mkb'", "### Description\n\nThe Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages.", "### Homepage\n\n- URL\n- URL", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0009 % of total\n- 0.0174 % of indic-ta\n- 0.0252 % of indic-ml\n- 0.0416 % of indic-mr\n- 0.0601 % of indic-gu\n- 0.0047 % of indic-bn\n- 0.0040 % of indic-hi\n- 0.0185 % of indic-te\n- 0.0162 % of indic-or\n- 0.0026 % of indic-ur", "### BigScience processing steps", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
e986e594548a7bf890034f3543721a1f29d6c6b1	ROOTS Subset: roots_indic-ml_wikiquote # wikiquote_filtered - Dataset uid: `wikiquote_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space	bigscience-data/roots_indic-ml_wikiquote	[ "language:ml", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:16:50+00:00	{"language": "ml", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:10:52+00:00	[]	[ "ml" ]	TAGS #language-Malayalam #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-ml_wikiquote # wikiquote_filtered - Dataset uid: 'wikiquote_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space	[ "# wikiquote_filtered\n\n- Dataset uid: 'wikiquote_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0462 % of total\n- 0.1697 % of en\n- 0.0326 % of fr\n- 0.0216 % of ar\n- 0.0066 % of zh\n- 0.0833 % of pt\n- 0.0357 % of es\n- 0.0783 % of indic-ta\n- 0.0361 % of indic-hi\n- 0.0518 % of ca\n- 0.0405 % of vi\n- 0.0834 % of indic-ml\n- 0.0542 % of indic-te\n- 0.1172 % of indic-gu\n- 0.0634 % of indic-kn\n- 0.0539 % of id\n- 0.0454 % of indic-ur\n- 0.0337 % of indic-mr\n- 0.0347 % of eu", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-gu\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-kn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space" ]	[ "TAGS\n#language-Malayalam #license-cc-by-sa-3.0 #region-us \n", "# wikiquote_filtered\n\n- Dataset uid: 'wikiquote_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0462 % of total\n- 0.1697 % of en\n- 0.0326 % of fr\n- 0.0216 % of ar\n- 0.0066 % of zh\n- 0.0833 % of pt\n- 0.0357 % of es\n- 0.0783 % of indic-ta\n- 0.0361 % of indic-hi\n- 0.0518 % of ca\n- 0.0405 % of vi\n- 0.0834 % of indic-ml\n- 0.0542 % of indic-te\n- 0.1172 % of indic-gu\n- 0.0634 % of indic-kn\n- 0.0539 % of id\n- 0.0454 % of indic-ur\n- 0.0337 % of indic-mr\n- 0.0347 % of eu", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-gu\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-kn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space" ]
f09e79fc7c8e5c36322cd6af42291f7c8d53ea43	ROOTS Subset: roots_indic-ml_wikisource # wikisource_filtered - Dataset uid: `wikisource_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs	bigscience-data/roots_indic-ml_wikisource	[ "language:ml", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:16:51+00:00	{"language": "ml", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:10:57+00:00	[]	[ "ml" ]	TAGS #language-Malayalam #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-ml_wikisource # wikisource_filtered - Dataset uid: 'wikisource_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs	[ "# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of indic-te\n- 1.7155 % of es\n- 19.4800 % of indic-kn\n- 9.1737 % of indic-ml\n- 17.1771 % of indic-mr\n- 17.1870 % of indic-gu\n- 70.3687 % of indic-as\n- 1.0165 % of pt\n- 7.8642 % of indic-pa\n- 1.3501 % of vi\n- 4.9411 % of indic-or\n- 0.5307 % of ca\n- 2.3593 % of id\n- 1.5928 % of eu", "### BigScience processing steps", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- remove_wiki_mojibake\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Malayalam #license-cc-by-sa-3.0 #region-us \n", "# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of indic-te\n- 1.7155 % of es\n- 19.4800 % of indic-kn\n- 9.1737 % of indic-ml\n- 17.1771 % of indic-mr\n- 17.1870 % of indic-gu\n- 70.3687 % of indic-as\n- 1.0165 % of pt\n- 7.8642 % of indic-pa\n- 1.3501 % of vi\n- 4.9411 % of indic-or\n- 0.5307 % of ca\n- 2.3593 % of id\n- 1.5928 % of eu", "### BigScience processing steps", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- remove_wiki_mojibake\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs" ]
6e90eb68e8cc686d4cfa867b46e9858fd736b610	ROOTS Subset: roots_indic-mr_indic_nlp_corpus # Indic NLP Corpus - Dataset uid: `indic_nlp_corpus` ### Description The IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya). ### Homepage https://github.com/AI4Bharat/indicnlp_corpus#publicly-available-classification-datasets ### Licensing - non-commercial use - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International ### Speaker Locations - Southern Asia - India ### Sizes - 3.4019 % of total - 44.4368 % of indic-hi - 64.2943 % of indic-ta - 70.5374 % of indic-ml - 54.2394 % of indic-te - 55.9105 % of indic-kn - 61.6111 % of indic-mr - 67.2242 % of indic-pa - 68.1470 % of indic-or - 64.3879 % of indic-gu - 4.1495 % of indic-bn ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-mr_indic_nlp_corpus	[ "language:mr", "license:cc-by-nc-4.0", "region:us" ]	2022-05-18T08:16:54+00:00	{"language": "mr", "license": "cc-by-nc-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:11:02+00:00	[]	[ "mr" ]	TAGS #language-Marathi #license-cc-by-nc-4.0 #region-us	ROOTS Subset: roots_indic-mr_indic_nlp_corpus # Indic NLP Corpus - Dataset uid: 'indic_nlp_corpus' ### Description The IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya). ### Homepage URL ### Licensing - non-commercial use - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International ### Speaker Locations - Southern Asia - India ### Sizes - 3.4019 % of total - 44.4368 % of indic-hi - 64.2943 % of indic-ta - 70.5374 % of indic-ml - 54.2394 % of indic-te - 55.9105 % of indic-kn - 61.6111 % of indic-mr - 67.2242 % of indic-pa - 68.1470 % of indic-or - 64.3879 % of indic-gu - 4.1495 % of indic-bn ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# Indic NLP Corpus\n\n- Dataset uid: 'indic_nlp_corpus'", "### Description\n\nThe IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya).", "### Homepage\n\nURL", "### Licensing\n\n- non-commercial use\n- cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International", "### Speaker Locations\n\n- Southern Asia\n- India", "### Sizes\n\n- 3.4019 % of total\n- 44.4368 % of indic-hi\n- 64.2943 % of indic-ta\n- 70.5374 % of indic-ml\n- 54.2394 % of indic-te\n- 55.9105 % of indic-kn\n- 61.6111 % of indic-mr\n- 67.2242 % of indic-pa\n- 68.1470 % of indic-or\n- 64.3879 % of indic-gu\n- 4.1495 % of indic-bn", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Marathi #license-cc-by-nc-4.0 #region-us \n", "# Indic NLP Corpus\n\n- Dataset uid: 'indic_nlp_corpus'", "### Description\n\nThe IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya).", "### Homepage\n\nURL", "### Licensing\n\n- non-commercial use\n- cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International", "### Speaker Locations\n\n- Southern Asia\n- India", "### Sizes\n\n- 3.4019 % of total\n- 44.4368 % of indic-hi\n- 64.2943 % of indic-ta\n- 70.5374 % of indic-ml\n- 54.2394 % of indic-te\n- 55.9105 % of indic-kn\n- 61.6111 % of indic-mr\n- 67.2242 % of indic-pa\n- 68.1470 % of indic-or\n- 64.3879 % of indic-gu\n- 4.1495 % of indic-bn", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
80cfdfc4a88221e56498173d8e764ed223dca83b	ROOTS Subset: roots_indic-or_mkb # mkb - Dataset uid: `mkb` ### Description The Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages. ### Homepage - https://huggingface.co/datasets/mkb - http://preon.iiit.ac.in/~jerin/bhasha/ ### Licensing ### Speaker Locations ### Sizes - 0.0009 % of total - 0.0174 % of indic-ta - 0.0252 % of indic-ml - 0.0416 % of indic-mr - 0.0601 % of indic-gu - 0.0047 % of indic-bn - 0.0040 % of indic-hi - 0.0185 % of indic-te - 0.0162 % of indic-or - 0.0026 % of indic-ur ### BigScience processing steps #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-or_mkb	[ "language:or", "license:cc-by-sa-4.0", "region:us" ]	2022-05-18T08:16:59+00:00	{"language": "or", "license": "cc-by-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:11:13+00:00	[]	[ "or" ]	TAGS #language-Oriya (macrolanguage) #license-cc-by-sa-4.0 #region-us	ROOTS Subset: roots_indic-or_mkb # mkb - Dataset uid: 'mkb' ### Description The Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages. ### Homepage - URL - URL ### Licensing ### Speaker Locations ### Sizes - 0.0009 % of total - 0.0174 % of indic-ta - 0.0252 % of indic-ml - 0.0416 % of indic-mr - 0.0601 % of indic-gu - 0.0047 % of indic-bn - 0.0040 % of indic-hi - 0.0185 % of indic-te - 0.0162 % of indic-or - 0.0026 % of indic-ur ### BigScience processing steps #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# mkb\n\n- Dataset uid: 'mkb'", "### Description\n\nThe Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages.", "### Homepage\n\n- URL\n- URL", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0009 % of total\n- 0.0174 % of indic-ta\n- 0.0252 % of indic-ml\n- 0.0416 % of indic-mr\n- 0.0601 % of indic-gu\n- 0.0047 % of indic-bn\n- 0.0040 % of indic-hi\n- 0.0185 % of indic-te\n- 0.0162 % of indic-or\n- 0.0026 % of indic-ur", "### BigScience processing steps", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Oriya (macrolanguage) #license-cc-by-sa-4.0 #region-us \n", "# mkb\n\n- Dataset uid: 'mkb'", "### Description\n\nThe Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages.", "### Homepage\n\n- URL\n- URL", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0009 % of total\n- 0.0174 % of indic-ta\n- 0.0252 % of indic-ml\n- 0.0416 % of indic-mr\n- 0.0601 % of indic-gu\n- 0.0047 % of indic-bn\n- 0.0040 % of indic-hi\n- 0.0185 % of indic-te\n- 0.0162 % of indic-or\n- 0.0026 % of indic-ur", "### BigScience processing steps", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
12638ca9468707ec8224560c70ae36d82a8b3ada	ROOTS Subset: roots_indic-mr_wikiquote # wikiquote_filtered - Dataset uid: `wikiquote_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space	bigscience-data/roots_indic-mr_wikiquote	[ "language:mr", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:17:00+00:00	{"language": "mr", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:11:18+00:00	[]	[ "mr" ]	TAGS #language-Marathi #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-mr_wikiquote # wikiquote_filtered - Dataset uid: 'wikiquote_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space	[ "# wikiquote_filtered\n\n- Dataset uid: 'wikiquote_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0462 % of total\n- 0.1697 % of en\n- 0.0326 % of fr\n- 0.0216 % of ar\n- 0.0066 % of zh\n- 0.0833 % of pt\n- 0.0357 % of es\n- 0.0783 % of indic-ta\n- 0.0361 % of indic-hi\n- 0.0518 % of ca\n- 0.0405 % of vi\n- 0.0834 % of indic-ml\n- 0.0542 % of indic-te\n- 0.1172 % of indic-gu\n- 0.0634 % of indic-kn\n- 0.0539 % of id\n- 0.0454 % of indic-ur\n- 0.0337 % of indic-mr\n- 0.0347 % of eu", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-gu\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-kn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space" ]	[ "TAGS\n#language-Marathi #license-cc-by-sa-3.0 #region-us \n", "# wikiquote_filtered\n\n- Dataset uid: 'wikiquote_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0462 % of total\n- 0.1697 % of en\n- 0.0326 % of fr\n- 0.0216 % of ar\n- 0.0066 % of zh\n- 0.0833 % of pt\n- 0.0357 % of es\n- 0.0783 % of indic-ta\n- 0.0361 % of indic-hi\n- 0.0518 % of ca\n- 0.0405 % of vi\n- 0.0834 % of indic-ml\n- 0.0542 % of indic-te\n- 0.1172 % of indic-gu\n- 0.0634 % of indic-kn\n- 0.0539 % of id\n- 0.0454 % of indic-ur\n- 0.0337 % of indic-mr\n- 0.0347 % of eu", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-gu\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-kn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space" ]
f282004210fbe38c04c40364b724d05bc173346d	ROOTS Subset: roots_indic-or_pib # pib - Dataset uid: `pib` ### Description Sentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau website. ### Homepage - https://huggingface.co/datasets/pib - http://preon.iiit.ac.in/~jerin/bhasha/ ### Licensing Creative Commons Attribution-ShareAlike 4.0 International ### Speaker Locations ### Sizes - 0.0609 % of total - 0.6301 % of indic-hi - 3.2610 % of indic-ur - 0.6029 % of indic-ta - 3.0834 % of indic-or - 1.9757 % of indic-mr - 0.2181 % of indic-bn - 1.8901 % of indic-pa - 1.5457 % of indic-gu - 0.4695 % of indic-ml - 0.5767 % of indic-te ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-or_pib	[ "language:or", "license:cc-by-sa-4.0", "region:us" ]	2022-05-18T08:17:00+00:00	{"language": "or", "license": "cc-by-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:11:24+00:00	[]	[ "or" ]	TAGS #language-Oriya (macrolanguage) #license-cc-by-sa-4.0 #region-us	ROOTS Subset: roots_indic-or_pib # pib - Dataset uid: 'pib' ### Description Sentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau website. ### Homepage - URL - URL ### Licensing Creative Commons Attribution-ShareAlike 4.0 International ### Speaker Locations ### Sizes - 0.0609 % of total - 0.6301 % of indic-hi - 3.2610 % of indic-ur - 0.6029 % of indic-ta - 3.0834 % of indic-or - 1.9757 % of indic-mr - 0.2181 % of indic-bn - 1.8901 % of indic-pa - 1.5457 % of indic-gu - 0.4695 % of indic-ml - 0.5767 % of indic-te ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# pib\n\n- Dataset uid: 'pib'", "### Description\n\nSentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau\nwebsite.", "### Homepage\n\n- URL\n- URL", "### Licensing\n\nCreative Commons Attribution-ShareAlike 4.0 International", "### Speaker Locations", "### Sizes\n\n- 0.0609 % of total\n- 0.6301 % of indic-hi\n- 3.2610 % of indic-ur\n- 0.6029 % of indic-ta\n- 3.0834 % of indic-or\n- 1.9757 % of indic-mr\n- 0.2181 % of indic-bn\n- 1.8901 % of indic-pa\n- 1.5457 % of indic-gu\n- 0.4695 % of indic-ml\n- 0.5767 % of indic-te", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Oriya (macrolanguage) #license-cc-by-sa-4.0 #region-us \n", "# pib\n\n- Dataset uid: 'pib'", "### Description\n\nSentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau\nwebsite.", "### Homepage\n\n- URL\n- URL", "### Licensing\n\nCreative Commons Attribution-ShareAlike 4.0 International", "### Speaker Locations", "### Sizes\n\n- 0.0609 % of total\n- 0.6301 % of indic-hi\n- 3.2610 % of indic-ur\n- 0.6029 % of indic-ta\n- 3.0834 % of indic-or\n- 1.9757 % of indic-mr\n- 0.2181 % of indic-bn\n- 1.8901 % of indic-pa\n- 1.5457 % of indic-gu\n- 0.4695 % of indic-ml\n- 0.5767 % of indic-te", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
f68b3f56ba1d08c7c10e5414ca6f006b98230571	ROOTS Subset: roots_indic-mr_ted_talks_iwslt # WIT Ted Talks - Dataset uid: `ted_talks_iwslt` ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage https://github.com/huggingface/datasets/blob/master/datasets/ted_talks_iwslt/README.md ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-mr_ted_talks_iwslt	[ "language:mr", "license:cc-by-nc-nd-4.0", "region:us" ]	2022-05-18T08:17:00+00:00	{"language": "mr", "license": "cc-by-nc-nd-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:11:29+00:00	[]	[ "mr" ]	TAGS #language-Marathi #license-cc-by-nc-nd-4.0 #region-us	ROOTS Subset: roots_indic-mr_ted_talks_iwslt # WIT Ted Talks - Dataset uid: 'ted_talks_iwslt' ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage URL ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# WIT Ted Talks\n\n- Dataset uid: 'ted_talks_iwslt'", "### Description\n\nThe Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform.", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International\n\nTED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks!", "### Speaker Locations\n\n- Southern Europe\n- Italy", "### Sizes\n\n- 0.0305 % of total\n- 0.0736 % of ar\n- 0.2002 % of pt\n- 0.0128 % of zh\n- 0.2236 % of vi\n- 0.0330 % of fr\n- 0.0545 % of es\n- 0.0122 % of en\n- 0.3704 % of id\n- 0.0373 % of indic-hi\n- 0.0330 % of indic-ta\n- 0.1393 % of indic-mr\n- 0.0305 % of ca\n- 0.1179 % of indic-ur\n- 0.0147 % of indic-bn\n- 0.0240 % of indic-ml\n- 0.0244 % of indic-te\n- 0.0503 % of indic-gu\n- 0.0211 % of indic-kn\n- 0.0274 % of eu\n- 0.0023 % of indic-as\n- 0.0001 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: ar\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ur\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-as\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-pa\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Marathi #license-cc-by-nc-nd-4.0 #region-us \n", "# WIT Ted Talks\n\n- Dataset uid: 'ted_talks_iwslt'", "### Description\n\nThe Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform.", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International\n\nTED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks!", "### Speaker Locations\n\n- Southern Europe\n- Italy", "### Sizes\n\n- 0.0305 % of total\n- 0.0736 % of ar\n- 0.2002 % of pt\n- 0.0128 % of zh\n- 0.2236 % of vi\n- 0.0330 % of fr\n- 0.0545 % of es\n- 0.0122 % of en\n- 0.3704 % of id\n- 0.0373 % of indic-hi\n- 0.0330 % of indic-ta\n- 0.1393 % of indic-mr\n- 0.0305 % of ca\n- 0.1179 % of indic-ur\n- 0.0147 % of indic-bn\n- 0.0240 % of indic-ml\n- 0.0244 % of indic-te\n- 0.0503 % of indic-gu\n- 0.0211 % of indic-kn\n- 0.0274 % of eu\n- 0.0023 % of indic-as\n- 0.0001 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: ar\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ur\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-as\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-pa\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
8c76fb7e344dcc0ca7bf30b20fa1719a5bd7654f	ROOTS Subset: roots_indic-or_odiencorp # OdiEnCorp2.0 - Dataset uid: `odiencorp` ### Description OdiEnCorp is a collection of Odia-English parallel and Odia monolingual sentences collected from different sources such as Odia Wikipedia, web sites, books, and dictionaries using different manual and machine learning techniques including web scraping and optical character recognition. OdiEnCorp 2.0 served in WAT 2020 EnglishOdia Indic Task. ### Homepage https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3211 ### Licensing - non-commercial use - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International ### Speaker Locations - Southern Asia - India ### Sizes - 0.0043 % of total - 2.2553 % of indic-or - 0.0000 % of en ### BigScience processing steps #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: en - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024	bigscience-data/roots_indic-or_odiencorp	[ "language:or", "license:cc-by-nc-sa-4.0", "region:us" ]	2022-05-18T08:17:00+00:00	{"language": "or", "license": "cc-by-nc-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:11:34+00:00	[]	[ "or" ]	TAGS #language-Oriya (macrolanguage) #license-cc-by-nc-sa-4.0 #region-us	ROOTS Subset: roots_indic-or_odiencorp # OdiEnCorp2.0 - Dataset uid: 'odiencorp' ### Description OdiEnCorp is a collection of Odia-English parallel and Odia monolingual sentences collected from different sources such as Odia Wikipedia, web sites, books, and dictionaries using different manual and machine learning techniques including web scraping and optical character recognition. OdiEnCorp 2.0 served in WAT 2020 EnglishOdia Indic Task. ### Homepage URL ### Licensing - non-commercial use - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International ### Speaker Locations - Southern Asia - India ### Sizes - 0.0043 % of total - 2.2553 % of indic-or - 0.0000 % of en ### BigScience processing steps #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: en - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024	[ "# OdiEnCorp2.0\n\n- Dataset uid: 'odiencorp'", "### Description\n\nOdiEnCorp is a collection of Odia-English parallel and Odia monolingual sentences collected from different sources such as Odia Wikipedia, web sites, books, and dictionaries using different manual and machine learning techniques including web scraping and optical character recognition. OdiEnCorp 2.0 served in WAT 2020 EnglishOdia Indic Task.", "### Homepage\n\nURL", "### Licensing\n\n- non-commercial use\n- cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International", "### Speaker Locations\n\n- Southern Asia\n- India", "### Sizes\n\n- 0.0043 % of total\n- 2.2553 % of indic-or\n- 0.0000 % of en", "### BigScience processing steps", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: en\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024" ]	[ "TAGS\n#language-Oriya (macrolanguage) #license-cc-by-nc-sa-4.0 #region-us \n", "# OdiEnCorp2.0\n\n- Dataset uid: 'odiencorp'", "### Description\n\nOdiEnCorp is a collection of Odia-English parallel and Odia monolingual sentences collected from different sources such as Odia Wikipedia, web sites, books, and dictionaries using different manual and machine learning techniques including web scraping and optical character recognition. OdiEnCorp 2.0 served in WAT 2020 EnglishOdia Indic Task.", "### Homepage\n\nURL", "### Licensing\n\n- non-commercial use\n- cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International", "### Speaker Locations\n\n- Southern Asia\n- India", "### Sizes\n\n- 0.0043 % of total\n- 2.2553 % of indic-or\n- 0.0000 % of en", "### BigScience processing steps", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: en\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024" ]
aa60ac2ab8753c345a1d6a56881a5687d2e2d3a6	ROOTS Subset: roots_indic-mr_wikibooks # wikibooks_filtered - Dataset uid: `wikibooks_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	bigscience-data/roots_indic-mr_wikibooks	[ "language:mr", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:17:00+00:00	{"language": "mr", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:11:39+00:00	[]	[ "mr" ]	TAGS #language-Marathi #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-mr_wikibooks # wikibooks_filtered - Dataset uid: 'wikibooks_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	[ "# wikibooks_filtered\n\n- Dataset uid: 'wikibooks_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0897 % of total\n- 0.2591 % of en\n- 0.0965 % of fr\n- 0.1691 % of es\n- 0.2834 % of indic-hi\n- 0.2172 % of pt\n- 0.0149 % of zh\n- 0.0279 % of ar\n- 0.1374 % of vi\n- 0.5025 % of id\n- 0.3694 % of indic-ur\n- 0.5744 % of eu\n- 0.0769 % of ca\n- 0.0519 % of indic-ta\n- 0.1470 % of indic-mr\n- 0.0751 % of indic-te\n- 0.0156 % of indic-bn\n- 0.0476 % of indic-ml\n- 0.0087 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-pa\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Marathi #license-cc-by-sa-3.0 #region-us \n", "# wikibooks_filtered\n\n- Dataset uid: 'wikibooks_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0897 % of total\n- 0.2591 % of en\n- 0.0965 % of fr\n- 0.1691 % of es\n- 0.2834 % of indic-hi\n- 0.2172 % of pt\n- 0.0149 % of zh\n- 0.0279 % of ar\n- 0.1374 % of vi\n- 0.5025 % of id\n- 0.3694 % of indic-ur\n- 0.5744 % of eu\n- 0.0769 % of ca\n- 0.0519 % of indic-ta\n- 0.1470 % of indic-mr\n- 0.0751 % of indic-te\n- 0.0156 % of indic-bn\n- 0.0476 % of indic-ml\n- 0.0087 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-pa\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]
024d45f51c06899c950c6aee0d42f875417dd46f	ROOTS Subset: roots_indic-mr_wikipedia # wikipedia - Dataset uid: `wikipedia` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	bigscience-data/roots_indic-mr_wikipedia	[ "language:mr", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:17:01+00:00	{"language": "mr", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:11:44+00:00	[]	[ "mr" ]	TAGS #language-Marathi #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-mr_wikipedia # wikipedia - Dataset uid: 'wikipedia' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	[ "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Marathi #license-cc-by-sa-3.0 #region-us \n", "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]
3dbd290b4bbfe0509961cc35fc06f25d6f248cd0	ROOTS Subset: roots_indic-mr_wikisource # wikisource_filtered - Dataset uid: `wikisource_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs	bigscience-data/roots_indic-mr_wikisource	[ "language:mr", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:17:01+00:00	{"language": "mr", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:11:49+00:00	[]	[ "mr" ]	TAGS #language-Marathi #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-mr_wikisource # wikisource_filtered - Dataset uid: 'wikisource_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs	[ "# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of indic-te\n- 1.7155 % of es\n- 19.4800 % of indic-kn\n- 9.1737 % of indic-ml\n- 17.1771 % of indic-mr\n- 17.1870 % of indic-gu\n- 70.3687 % of indic-as\n- 1.0165 % of pt\n- 7.8642 % of indic-pa\n- 1.3501 % of vi\n- 4.9411 % of indic-or\n- 0.5307 % of ca\n- 2.3593 % of id\n- 1.5928 % of eu", "### BigScience processing steps", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- remove_wiki_mojibake\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Marathi #license-cc-by-sa-3.0 #region-us \n", "# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of indic-te\n- 1.7155 % of es\n- 19.4800 % of indic-kn\n- 9.1737 % of indic-ml\n- 17.1771 % of indic-mr\n- 17.1870 % of indic-gu\n- 70.3687 % of indic-as\n- 1.0165 % of pt\n- 7.8642 % of indic-pa\n- 1.3501 % of vi\n- 4.9411 % of indic-or\n- 0.5307 % of ca\n- 2.3593 % of id\n- 1.5928 % of eu", "### BigScience processing steps", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- remove_wiki_mojibake\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs" ]
ed6156746be5b2a5dae9e81a92de39b890faddd4	ROOTS Subset: roots_indic-or_indic_nlp_corpus # Indic NLP Corpus - Dataset uid: `indic_nlp_corpus` ### Description The IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya). ### Homepage https://github.com/AI4Bharat/indicnlp_corpus#publicly-available-classification-datasets ### Licensing - non-commercial use - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International ### Speaker Locations - Southern Asia - India ### Sizes - 3.4019 % of total - 44.4368 % of indic-hi - 64.2943 % of indic-ta - 70.5374 % of indic-ml - 54.2394 % of indic-te - 55.9105 % of indic-kn - 61.6111 % of indic-mr - 67.2242 % of indic-pa - 68.1470 % of indic-or - 64.3879 % of indic-gu - 4.1495 % of indic-bn ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-or_indic_nlp_corpus	[ "language:or", "license:cc-by-nc-4.0", "region:us" ]	2022-05-18T08:17:02+00:00	{"language": "or", "license": "cc-by-nc-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:11:56+00:00	[]	[ "or" ]	TAGS #language-Oriya (macrolanguage) #license-cc-by-nc-4.0 #region-us	ROOTS Subset: roots_indic-or_indic_nlp_corpus # Indic NLP Corpus - Dataset uid: 'indic_nlp_corpus' ### Description The IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya). ### Homepage URL ### Licensing - non-commercial use - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International ### Speaker Locations - Southern Asia - India ### Sizes - 3.4019 % of total - 44.4368 % of indic-hi - 64.2943 % of indic-ta - 70.5374 % of indic-ml - 54.2394 % of indic-te - 55.9105 % of indic-kn - 61.6111 % of indic-mr - 67.2242 % of indic-pa - 68.1470 % of indic-or - 64.3879 % of indic-gu - 4.1495 % of indic-bn ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# Indic NLP Corpus\n\n- Dataset uid: 'indic_nlp_corpus'", "### Description\n\nThe IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya).", "### Homepage\n\nURL", "### Licensing\n\n- non-commercial use\n- cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International", "### Speaker Locations\n\n- Southern Asia\n- India", "### Sizes\n\n- 3.4019 % of total\n- 44.4368 % of indic-hi\n- 64.2943 % of indic-ta\n- 70.5374 % of indic-ml\n- 54.2394 % of indic-te\n- 55.9105 % of indic-kn\n- 61.6111 % of indic-mr\n- 67.2242 % of indic-pa\n- 68.1470 % of indic-or\n- 64.3879 % of indic-gu\n- 4.1495 % of indic-bn", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Oriya (macrolanguage) #license-cc-by-nc-4.0 #region-us \n", "# Indic NLP Corpus\n\n- Dataset uid: 'indic_nlp_corpus'", "### Description\n\nThe IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya).", "### Homepage\n\nURL", "### Licensing\n\n- non-commercial use\n- cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International", "### Speaker Locations\n\n- Southern Asia\n- India", "### Sizes\n\n- 3.4019 % of total\n- 44.4368 % of indic-hi\n- 64.2943 % of indic-ta\n- 70.5374 % of indic-ml\n- 54.2394 % of indic-te\n- 55.9105 % of indic-kn\n- 61.6111 % of indic-mr\n- 67.2242 % of indic-pa\n- 68.1470 % of indic-or\n- 64.3879 % of indic-gu\n- 4.1495 % of indic-bn", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
faffde3c4fe5238b14f2a8652720de83018c93bc	ROOTS Subset: roots_indic-or_wikisource # wikisource_filtered - Dataset uid: `wikisource_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs	bigscience-data/roots_indic-or_wikisource	[ "language:or", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:17:10+00:00	{"language": "or", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:12:01+00:00	[]	[ "or" ]	TAGS #language-Oriya (macrolanguage) #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-or_wikisource # wikisource_filtered - Dataset uid: 'wikisource_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs	[ "# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of indic-te\n- 1.7155 % of es\n- 19.4800 % of indic-kn\n- 9.1737 % of indic-ml\n- 17.1771 % of indic-mr\n- 17.1870 % of indic-gu\n- 70.3687 % of indic-as\n- 1.0165 % of pt\n- 7.8642 % of indic-pa\n- 1.3501 % of vi\n- 4.9411 % of indic-or\n- 0.5307 % of ca\n- 2.3593 % of id\n- 1.5928 % of eu", "### BigScience processing steps", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- remove_wiki_mojibake\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Oriya (macrolanguage) #license-cc-by-sa-3.0 #region-us \n", "# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of indic-te\n- 1.7155 % of es\n- 19.4800 % of indic-kn\n- 9.1737 % of indic-ml\n- 17.1771 % of indic-mr\n- 17.1870 % of indic-gu\n- 70.3687 % of indic-as\n- 1.0165 % of pt\n- 7.8642 % of indic-pa\n- 1.3501 % of vi\n- 4.9411 % of indic-or\n- 0.5307 % of ca\n- 2.3593 % of id\n- 1.5928 % of eu", "### BigScience processing steps", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- remove_wiki_mojibake\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs" ]
c99838e8e0541e372aaea514ef92556486823257	ROOTS Subset: roots_indic-or_wikipedia # wikipedia - Dataset uid: `wikipedia` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	bigscience-data/roots_indic-or_wikipedia	[ "language:or", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:17:10+00:00	{"language": "or", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:12:06+00:00	[]	[ "or" ]	TAGS #language-Oriya (macrolanguage) #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-or_wikipedia # wikipedia - Dataset uid: 'wikipedia' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	[ "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Oriya (macrolanguage) #license-cc-by-sa-3.0 #region-us \n", "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]
1d9660de6e97df1fe69a50c98f3869b1ddb7adf1	ROOTS Subset: roots_indic-pa_indic_nlp_corpus # Indic NLP Corpus - Dataset uid: `indic_nlp_corpus` ### Description The IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya). ### Homepage https://github.com/AI4Bharat/indicnlp_corpus#publicly-available-classification-datasets ### Licensing - non-commercial use - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International ### Speaker Locations - Southern Asia - India ### Sizes - 3.4019 % of total - 44.4368 % of indic-hi - 64.2943 % of indic-ta - 70.5374 % of indic-ml - 54.2394 % of indic-te - 55.9105 % of indic-kn - 61.6111 % of indic-mr - 67.2242 % of indic-pa - 68.1470 % of indic-or - 64.3879 % of indic-gu - 4.1495 % of indic-bn ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-pa_indic_nlp_corpus	[ "language:pa", "license:cc-by-nc-4.0", "region:us" ]	2022-05-18T08:17:12+00:00	{"language": "pa", "license": "cc-by-nc-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:12:16+00:00	[]	[ "pa" ]	TAGS #language-Panjabi #license-cc-by-nc-4.0 #region-us	ROOTS Subset: roots_indic-pa_indic_nlp_corpus # Indic NLP Corpus - Dataset uid: 'indic_nlp_corpus' ### Description The IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya). ### Homepage URL ### Licensing - non-commercial use - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International ### Speaker Locations - Southern Asia - India ### Sizes - 3.4019 % of total - 44.4368 % of indic-hi - 64.2943 % of indic-ta - 70.5374 % of indic-ml - 54.2394 % of indic-te - 55.9105 % of indic-kn - 61.6111 % of indic-mr - 67.2242 % of indic-pa - 68.1470 % of indic-or - 64.3879 % of indic-gu - 4.1495 % of indic-bn ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# Indic NLP Corpus\n\n- Dataset uid: 'indic_nlp_corpus'", "### Description\n\nThe IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya).", "### Homepage\n\nURL", "### Licensing\n\n- non-commercial use\n- cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International", "### Speaker Locations\n\n- Southern Asia\n- India", "### Sizes\n\n- 3.4019 % of total\n- 44.4368 % of indic-hi\n- 64.2943 % of indic-ta\n- 70.5374 % of indic-ml\n- 54.2394 % of indic-te\n- 55.9105 % of indic-kn\n- 61.6111 % of indic-mr\n- 67.2242 % of indic-pa\n- 68.1470 % of indic-or\n- 64.3879 % of indic-gu\n- 4.1495 % of indic-bn", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Panjabi #license-cc-by-nc-4.0 #region-us \n", "# Indic NLP Corpus\n\n- Dataset uid: 'indic_nlp_corpus'", "### Description\n\nThe IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya).", "### Homepage\n\nURL", "### Licensing\n\n- non-commercial use\n- cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International", "### Speaker Locations\n\n- Southern Asia\n- India", "### Sizes\n\n- 3.4019 % of total\n- 44.4368 % of indic-hi\n- 64.2943 % of indic-ta\n- 70.5374 % of indic-ml\n- 54.2394 % of indic-te\n- 55.9105 % of indic-kn\n- 61.6111 % of indic-mr\n- 67.2242 % of indic-pa\n- 68.1470 % of indic-or\n- 64.3879 % of indic-gu\n- 4.1495 % of indic-bn", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
73fcf3be76243c6825df10bee9789cc8d963c45e	ROOTS Subset: roots_indic-ta_mkb # mkb - Dataset uid: `mkb` ### Description The Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages. ### Homepage - https://huggingface.co/datasets/mkb - http://preon.iiit.ac.in/~jerin/bhasha/ ### Licensing ### Speaker Locations ### Sizes - 0.0009 % of total - 0.0174 % of indic-ta - 0.0252 % of indic-ml - 0.0416 % of indic-mr - 0.0601 % of indic-gu - 0.0047 % of indic-bn - 0.0040 % of indic-hi - 0.0185 % of indic-te - 0.0162 % of indic-or - 0.0026 % of indic-ur ### BigScience processing steps #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-ta_mkb	[ "language:ta", "license:cc-by-sa-4.0", "region:us" ]	2022-05-18T08:17:22+00:00	{"language": "ta", "license": "cc-by-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:12:22+00:00	[]	[ "ta" ]	TAGS #language-Tamil #license-cc-by-sa-4.0 #region-us	ROOTS Subset: roots_indic-ta_mkb # mkb - Dataset uid: 'mkb' ### Description The Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages. ### Homepage - URL - URL ### Licensing ### Speaker Locations ### Sizes - 0.0009 % of total - 0.0174 % of indic-ta - 0.0252 % of indic-ml - 0.0416 % of indic-mr - 0.0601 % of indic-gu - 0.0047 % of indic-bn - 0.0040 % of indic-hi - 0.0185 % of indic-te - 0.0162 % of indic-or - 0.0026 % of indic-ur ### BigScience processing steps #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# mkb\n\n- Dataset uid: 'mkb'", "### Description\n\nThe Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages.", "### Homepage\n\n- URL\n- URL", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0009 % of total\n- 0.0174 % of indic-ta\n- 0.0252 % of indic-ml\n- 0.0416 % of indic-mr\n- 0.0601 % of indic-gu\n- 0.0047 % of indic-bn\n- 0.0040 % of indic-hi\n- 0.0185 % of indic-te\n- 0.0162 % of indic-or\n- 0.0026 % of indic-ur", "### BigScience processing steps", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Tamil #license-cc-by-sa-4.0 #region-us \n", "# mkb\n\n- Dataset uid: 'mkb'", "### Description\n\nThe Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages.", "### Homepage\n\n- URL\n- URL", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0009 % of total\n- 0.0174 % of indic-ta\n- 0.0252 % of indic-ml\n- 0.0416 % of indic-mr\n- 0.0601 % of indic-gu\n- 0.0047 % of indic-bn\n- 0.0040 % of indic-hi\n- 0.0185 % of indic-te\n- 0.0162 % of indic-or\n- 0.0026 % of indic-ur", "### BigScience processing steps", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
2576add64090ec2a2675a5515c09687b329c1654	ROOTS Subset: roots_indic-pa_ted_talks_iwslt # WIT Ted Talks - Dataset uid: `ted_talks_iwslt` ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage https://github.com/huggingface/datasets/blob/master/datasets/ted_talks_iwslt/README.md ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-pa_ted_talks_iwslt	[ "language:pa", "license:cc-by-nc-nd-4.0", "region:us" ]	2022-05-18T08:17:22+00:00	{"language": "pa", "license": "cc-by-nc-nd-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:12:27+00:00	[]	[ "pa" ]	TAGS #language-Panjabi #license-cc-by-nc-nd-4.0 #region-us	ROOTS Subset: roots_indic-pa_ted_talks_iwslt # WIT Ted Talks - Dataset uid: 'ted_talks_iwslt' ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage URL ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# WIT Ted Talks\n\n- Dataset uid: 'ted_talks_iwslt'", "### Description\n\nThe Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform.", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International\n\nTED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks!", "### Speaker Locations\n\n- Southern Europe\n- Italy", "### Sizes\n\n- 0.0305 % of total\n- 0.0736 % of ar\n- 0.2002 % of pt\n- 0.0128 % of zh\n- 0.2236 % of vi\n- 0.0330 % of fr\n- 0.0545 % of es\n- 0.0122 % of en\n- 0.3704 % of id\n- 0.0373 % of indic-hi\n- 0.0330 % of indic-ta\n- 0.1393 % of indic-mr\n- 0.0305 % of ca\n- 0.1179 % of indic-ur\n- 0.0147 % of indic-bn\n- 0.0240 % of indic-ml\n- 0.0244 % of indic-te\n- 0.0503 % of indic-gu\n- 0.0211 % of indic-kn\n- 0.0274 % of eu\n- 0.0023 % of indic-as\n- 0.0001 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: ar\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ur\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-as\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-pa\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Panjabi #license-cc-by-nc-nd-4.0 #region-us \n", "# WIT Ted Talks\n\n- Dataset uid: 'ted_talks_iwslt'", "### Description\n\nThe Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform.", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International\n\nTED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks!", "### Speaker Locations\n\n- Southern Europe\n- Italy", "### Sizes\n\n- 0.0305 % of total\n- 0.0736 % of ar\n- 0.2002 % of pt\n- 0.0128 % of zh\n- 0.2236 % of vi\n- 0.0330 % of fr\n- 0.0545 % of es\n- 0.0122 % of en\n- 0.3704 % of id\n- 0.0373 % of indic-hi\n- 0.0330 % of indic-ta\n- 0.1393 % of indic-mr\n- 0.0305 % of ca\n- 0.1179 % of indic-ur\n- 0.0147 % of indic-bn\n- 0.0240 % of indic-ml\n- 0.0244 % of indic-te\n- 0.0503 % of indic-gu\n- 0.0211 % of indic-kn\n- 0.0274 % of eu\n- 0.0023 % of indic-as\n- 0.0001 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: ar\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ur\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-as\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-pa\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
80093619ee63548564c0f451e6f08785423d279f	ROOTS Subset: roots_indic-pa_wikibooks # wikibooks_filtered - Dataset uid: `wikibooks_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	bigscience-data/roots_indic-pa_wikibooks	[ "language:pa", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:17:22+00:00	{"language": "pa", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:12:32+00:00	[]	[ "pa" ]	TAGS #language-Panjabi #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-pa_wikibooks # wikibooks_filtered - Dataset uid: 'wikibooks_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	[ "# wikibooks_filtered\n\n- Dataset uid: 'wikibooks_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0897 % of total\n- 0.2591 % of en\n- 0.0965 % of fr\n- 0.1691 % of es\n- 0.2834 % of indic-hi\n- 0.2172 % of pt\n- 0.0149 % of zh\n- 0.0279 % of ar\n- 0.1374 % of vi\n- 0.5025 % of id\n- 0.3694 % of indic-ur\n- 0.5744 % of eu\n- 0.0769 % of ca\n- 0.0519 % of indic-ta\n- 0.1470 % of indic-mr\n- 0.0751 % of indic-te\n- 0.0156 % of indic-bn\n- 0.0476 % of indic-ml\n- 0.0087 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-pa\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Panjabi #license-cc-by-sa-3.0 #region-us \n", "# wikibooks_filtered\n\n- Dataset uid: 'wikibooks_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0897 % of total\n- 0.2591 % of en\n- 0.0965 % of fr\n- 0.1691 % of es\n- 0.2834 % of indic-hi\n- 0.2172 % of pt\n- 0.0149 % of zh\n- 0.0279 % of ar\n- 0.1374 % of vi\n- 0.5025 % of id\n- 0.3694 % of indic-ur\n- 0.5744 % of eu\n- 0.0769 % of ca\n- 0.0519 % of indic-ta\n- 0.1470 % of indic-mr\n- 0.0751 % of indic-te\n- 0.0156 % of indic-bn\n- 0.0476 % of indic-ml\n- 0.0087 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-pa\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]
4784af7fc058033d4326e6b3fb2cbcad54cda5ef	ROOTS Subset: roots_indic-pa_pib # pib - Dataset uid: `pib` ### Description Sentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau website. ### Homepage - https://huggingface.co/datasets/pib - http://preon.iiit.ac.in/~jerin/bhasha/ ### Licensing Creative Commons Attribution-ShareAlike 4.0 International ### Speaker Locations ### Sizes - 0.0609 % of total - 0.6301 % of indic-hi - 3.2610 % of indic-ur - 0.6029 % of indic-ta - 3.0834 % of indic-or - 1.9757 % of indic-mr - 0.2181 % of indic-bn - 1.8901 % of indic-pa - 1.5457 % of indic-gu - 0.4695 % of indic-ml - 0.5767 % of indic-te ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-pa_pib	[ "language:pa", "license:cc-by-sa-4.0", "region:us" ]	2022-05-18T08:17:22+00:00	{"language": "pa", "license": "cc-by-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:12:37+00:00	[]	[ "pa" ]	TAGS #language-Panjabi #license-cc-by-sa-4.0 #region-us	ROOTS Subset: roots_indic-pa_pib # pib - Dataset uid: 'pib' ### Description Sentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau website. ### Homepage - URL - URL ### Licensing Creative Commons Attribution-ShareAlike 4.0 International ### Speaker Locations ### Sizes - 0.0609 % of total - 0.6301 % of indic-hi - 3.2610 % of indic-ur - 0.6029 % of indic-ta - 3.0834 % of indic-or - 1.9757 % of indic-mr - 0.2181 % of indic-bn - 1.8901 % of indic-pa - 1.5457 % of indic-gu - 0.4695 % of indic-ml - 0.5767 % of indic-te ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# pib\n\n- Dataset uid: 'pib'", "### Description\n\nSentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau\nwebsite.", "### Homepage\n\n- URL\n- URL", "### Licensing\n\nCreative Commons Attribution-ShareAlike 4.0 International", "### Speaker Locations", "### Sizes\n\n- 0.0609 % of total\n- 0.6301 % of indic-hi\n- 3.2610 % of indic-ur\n- 0.6029 % of indic-ta\n- 3.0834 % of indic-or\n- 1.9757 % of indic-mr\n- 0.2181 % of indic-bn\n- 1.8901 % of indic-pa\n- 1.5457 % of indic-gu\n- 0.4695 % of indic-ml\n- 0.5767 % of indic-te", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Panjabi #license-cc-by-sa-4.0 #region-us \n", "# pib\n\n- Dataset uid: 'pib'", "### Description\n\nSentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau\nwebsite.", "### Homepage\n\n- URL\n- URL", "### Licensing\n\nCreative Commons Attribution-ShareAlike 4.0 International", "### Speaker Locations", "### Sizes\n\n- 0.0609 % of total\n- 0.6301 % of indic-hi\n- 3.2610 % of indic-ur\n- 0.6029 % of indic-ta\n- 3.0834 % of indic-or\n- 1.9757 % of indic-mr\n- 0.2181 % of indic-bn\n- 1.8901 % of indic-pa\n- 1.5457 % of indic-gu\n- 0.4695 % of indic-ml\n- 0.5767 % of indic-te", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
3d1e864b7dc69aa8999ba2adf664c55d7b29d64d	ROOTS Subset: roots_indic-pa_wikipedia # wikipedia - Dataset uid: `wikipedia` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	bigscience-data/roots_indic-pa_wikipedia	[ "language:pa", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:17:23+00:00	{"language": "pa", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:12:47+00:00	[]	[ "pa" ]	TAGS #language-Panjabi #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-pa_wikipedia # wikipedia - Dataset uid: 'wikipedia' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	[ "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Panjabi #license-cc-by-sa-3.0 #region-us \n", "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]
5b71513e8e59fa3227ef7a1687a7ddf645fcca75	ROOTS Subset: roots_indic-pa_wikisource # wikisource_filtered - Dataset uid: `wikisource_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs	bigscience-data/roots_indic-pa_wikisource	[ "language:pa", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:17:24+00:00	{"language": "pa", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:12:52+00:00	[]	[ "pa" ]	TAGS #language-Panjabi #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-pa_wikisource # wikisource_filtered - Dataset uid: 'wikisource_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs	[ "# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of indic-te\n- 1.7155 % of es\n- 19.4800 % of indic-kn\n- 9.1737 % of indic-ml\n- 17.1771 % of indic-mr\n- 17.1870 % of indic-gu\n- 70.3687 % of indic-as\n- 1.0165 % of pt\n- 7.8642 % of indic-pa\n- 1.3501 % of vi\n- 4.9411 % of indic-or\n- 0.5307 % of ca\n- 2.3593 % of id\n- 1.5928 % of eu", "### BigScience processing steps", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- remove_wiki_mojibake\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Panjabi #license-cc-by-sa-3.0 #region-us \n", "# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of indic-te\n- 1.7155 % of es\n- 19.4800 % of indic-kn\n- 9.1737 % of indic-ml\n- 17.1771 % of indic-mr\n- 17.1870 % of indic-gu\n- 70.3687 % of indic-as\n- 1.0165 % of pt\n- 7.8642 % of indic-pa\n- 1.3501 % of vi\n- 4.9411 % of indic-or\n- 0.5307 % of ca\n- 2.3593 % of id\n- 1.5928 % of eu", "### BigScience processing steps", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- remove_wiki_mojibake\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs" ]
b8617ce2da583f9e41cf7e05f9f1170a148a0e70	ROOTS Subset: roots_indic-ta_indic_nlp_corpus # Indic NLP Corpus - Dataset uid: `indic_nlp_corpus` ### Description The IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya). ### Homepage https://github.com/AI4Bharat/indicnlp_corpus#publicly-available-classification-datasets ### Licensing - non-commercial use - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International ### Speaker Locations - Southern Asia - India ### Sizes - 3.4019 % of total - 44.4368 % of indic-hi - 64.2943 % of indic-ta - 70.5374 % of indic-ml - 54.2394 % of indic-te - 55.9105 % of indic-kn - 61.6111 % of indic-mr - 67.2242 % of indic-pa - 68.1470 % of indic-or - 64.3879 % of indic-gu - 4.1495 % of indic-bn ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-ta_indic_nlp_corpus	[ "language:ta", "license:cc-by-nc-4.0", "region:us" ]	2022-05-18T08:17:30+00:00	{"language": "ta", "license": "cc-by-nc-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:12:57+00:00	[]	[ "ta" ]	TAGS #language-Tamil #license-cc-by-nc-4.0 #region-us	ROOTS Subset: roots_indic-ta_indic_nlp_corpus # Indic NLP Corpus - Dataset uid: 'indic_nlp_corpus' ### Description The IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya). ### Homepage URL ### Licensing - non-commercial use - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International ### Speaker Locations - Southern Asia - India ### Sizes - 3.4019 % of total - 44.4368 % of indic-hi - 64.2943 % of indic-ta - 70.5374 % of indic-ml - 54.2394 % of indic-te - 55.9105 % of indic-kn - 61.6111 % of indic-mr - 67.2242 % of indic-pa - 68.1470 % of indic-or - 64.3879 % of indic-gu - 4.1495 % of indic-bn ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# Indic NLP Corpus\n\n- Dataset uid: 'indic_nlp_corpus'", "### Description\n\nThe IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya).", "### Homepage\n\nURL", "### Licensing\n\n- non-commercial use\n- cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International", "### Speaker Locations\n\n- Southern Asia\n- India", "### Sizes\n\n- 3.4019 % of total\n- 44.4368 % of indic-hi\n- 64.2943 % of indic-ta\n- 70.5374 % of indic-ml\n- 54.2394 % of indic-te\n- 55.9105 % of indic-kn\n- 61.6111 % of indic-mr\n- 67.2242 % of indic-pa\n- 68.1470 % of indic-or\n- 64.3879 % of indic-gu\n- 4.1495 % of indic-bn", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Tamil #license-cc-by-nc-4.0 #region-us \n", "# Indic NLP Corpus\n\n- Dataset uid: 'indic_nlp_corpus'", "### Description\n\nThe IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya).", "### Homepage\n\nURL", "### Licensing\n\n- non-commercial use\n- cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International", "### Speaker Locations\n\n- Southern Asia\n- India", "### Sizes\n\n- 3.4019 % of total\n- 44.4368 % of indic-hi\n- 64.2943 % of indic-ta\n- 70.5374 % of indic-ml\n- 54.2394 % of indic-te\n- 55.9105 % of indic-kn\n- 61.6111 % of indic-mr\n- 67.2242 % of indic-pa\n- 68.1470 % of indic-or\n- 64.3879 % of indic-gu\n- 4.1495 % of indic-bn", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
444179104208a510935daf82e9f753f0f3e4f3a8	ROOTS Subset: roots_indic-ta_wikiquote # wikiquote_filtered - Dataset uid: `wikiquote_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space	bigscience-data/roots_indic-ta_wikiquote	[ "language:ta", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:17:38+00:00	{"language": "ta", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:13:02+00:00	[]	[ "ta" ]	TAGS #language-Tamil #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-ta_wikiquote # wikiquote_filtered - Dataset uid: 'wikiquote_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space	[ "# wikiquote_filtered\n\n- Dataset uid: 'wikiquote_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0462 % of total\n- 0.1697 % of en\n- 0.0326 % of fr\n- 0.0216 % of ar\n- 0.0066 % of zh\n- 0.0833 % of pt\n- 0.0357 % of es\n- 0.0783 % of indic-ta\n- 0.0361 % of indic-hi\n- 0.0518 % of ca\n- 0.0405 % of vi\n- 0.0834 % of indic-ml\n- 0.0542 % of indic-te\n- 0.1172 % of indic-gu\n- 0.0634 % of indic-kn\n- 0.0539 % of id\n- 0.0454 % of indic-ur\n- 0.0337 % of indic-mr\n- 0.0347 % of eu", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-gu\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-kn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space" ]	[ "TAGS\n#language-Tamil #license-cc-by-sa-3.0 #region-us \n", "# wikiquote_filtered\n\n- Dataset uid: 'wikiquote_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0462 % of total\n- 0.1697 % of en\n- 0.0326 % of fr\n- 0.0216 % of ar\n- 0.0066 % of zh\n- 0.0833 % of pt\n- 0.0357 % of es\n- 0.0783 % of indic-ta\n- 0.0361 % of indic-hi\n- 0.0518 % of ca\n- 0.0405 % of vi\n- 0.0834 % of indic-ml\n- 0.0542 % of indic-te\n- 0.1172 % of indic-gu\n- 0.0634 % of indic-kn\n- 0.0539 % of id\n- 0.0454 % of indic-ur\n- 0.0337 % of indic-mr\n- 0.0347 % of eu", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-gu\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-kn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space" ]
680f9cf5383117c7ffb4e890c8014ae4f1b5d18d	ROOTS Subset: roots_indic-ta_wikipedia # wikipedia - Dataset uid: `wikipedia` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	bigscience-data/roots_indic-ta_wikipedia	[ "language:ta", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:17:38+00:00	{"language": "ta", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:13:07+00:00	[]	[ "ta" ]	TAGS #language-Tamil #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-ta_wikipedia # wikipedia - Dataset uid: 'wikipedia' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	[ "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Tamil #license-cc-by-sa-3.0 #region-us \n", "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]
5224a8db2c5f89c02c673a11d580a5673fb38710	ROOTS Subset: roots_indic-ta_pib # pib - Dataset uid: `pib` ### Description Sentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau website. ### Homepage - https://huggingface.co/datasets/pib - http://preon.iiit.ac.in/~jerin/bhasha/ ### Licensing Creative Commons Attribution-ShareAlike 4.0 International ### Speaker Locations ### Sizes - 0.0609 % of total - 0.6301 % of indic-hi - 3.2610 % of indic-ur - 0.6029 % of indic-ta - 3.0834 % of indic-or - 1.9757 % of indic-mr - 0.2181 % of indic-bn - 1.8901 % of indic-pa - 1.5457 % of indic-gu - 0.4695 % of indic-ml - 0.5767 % of indic-te ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-ta_pib	[ "language:ta", "license:cc-by-sa-4.0", "region:us" ]	2022-05-18T08:17:39+00:00	{"language": "ta", "license": "cc-by-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:13:13+00:00	[]	[ "ta" ]	TAGS #language-Tamil #license-cc-by-sa-4.0 #region-us	ROOTS Subset: roots_indic-ta_pib # pib - Dataset uid: 'pib' ### Description Sentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau website. ### Homepage - URL - URL ### Licensing Creative Commons Attribution-ShareAlike 4.0 International ### Speaker Locations ### Sizes - 0.0609 % of total - 0.6301 % of indic-hi - 3.2610 % of indic-ur - 0.6029 % of indic-ta - 3.0834 % of indic-or - 1.9757 % of indic-mr - 0.2181 % of indic-bn - 1.8901 % of indic-pa - 1.5457 % of indic-gu - 0.4695 % of indic-ml - 0.5767 % of indic-te ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# pib\n\n- Dataset uid: 'pib'", "### Description\n\nSentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau\nwebsite.", "### Homepage\n\n- URL\n- URL", "### Licensing\n\nCreative Commons Attribution-ShareAlike 4.0 International", "### Speaker Locations", "### Sizes\n\n- 0.0609 % of total\n- 0.6301 % of indic-hi\n- 3.2610 % of indic-ur\n- 0.6029 % of indic-ta\n- 3.0834 % of indic-or\n- 1.9757 % of indic-mr\n- 0.2181 % of indic-bn\n- 1.8901 % of indic-pa\n- 1.5457 % of indic-gu\n- 0.4695 % of indic-ml\n- 0.5767 % of indic-te", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Tamil #license-cc-by-sa-4.0 #region-us \n", "# pib\n\n- Dataset uid: 'pib'", "### Description\n\nSentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau\nwebsite.", "### Homepage\n\n- URL\n- URL", "### Licensing\n\nCreative Commons Attribution-ShareAlike 4.0 International", "### Speaker Locations", "### Sizes\n\n- 0.0609 % of total\n- 0.6301 % of indic-hi\n- 3.2610 % of indic-ur\n- 0.6029 % of indic-ta\n- 3.0834 % of indic-or\n- 1.9757 % of indic-mr\n- 0.2181 % of indic-bn\n- 1.8901 % of indic-pa\n- 1.5457 % of indic-gu\n- 0.4695 % of indic-ml\n- 0.5767 % of indic-te", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
77c0eb5fdb88f8f47f1d2c1e20aa6bcc82901019	ROOTS Subset: roots_indic-ta_ted_talks_iwslt # WIT Ted Talks - Dataset uid: `ted_talks_iwslt` ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage https://github.com/huggingface/datasets/blob/master/datasets/ted_talks_iwslt/README.md ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-ta_ted_talks_iwslt	[ "language:ta", "license:cc-by-nc-nd-4.0", "region:us" ]	2022-05-18T08:17:39+00:00	{"language": "ta", "license": "cc-by-nc-nd-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:13:18+00:00	[]	[ "ta" ]	TAGS #language-Tamil #license-cc-by-nc-nd-4.0 #region-us	ROOTS Subset: roots_indic-ta_ted_talks_iwslt # WIT Ted Talks - Dataset uid: 'ted_talks_iwslt' ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage URL ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# WIT Ted Talks\n\n- Dataset uid: 'ted_talks_iwslt'", "### Description\n\nThe Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform.", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International\n\nTED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks!", "### Speaker Locations\n\n- Southern Europe\n- Italy", "### Sizes\n\n- 0.0305 % of total\n- 0.0736 % of ar\n- 0.2002 % of pt\n- 0.0128 % of zh\n- 0.2236 % of vi\n- 0.0330 % of fr\n- 0.0545 % of es\n- 0.0122 % of en\n- 0.3704 % of id\n- 0.0373 % of indic-hi\n- 0.0330 % of indic-ta\n- 0.1393 % of indic-mr\n- 0.0305 % of ca\n- 0.1179 % of indic-ur\n- 0.0147 % of indic-bn\n- 0.0240 % of indic-ml\n- 0.0244 % of indic-te\n- 0.0503 % of indic-gu\n- 0.0211 % of indic-kn\n- 0.0274 % of eu\n- 0.0023 % of indic-as\n- 0.0001 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: ar\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ur\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-as\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-pa\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Tamil #license-cc-by-nc-nd-4.0 #region-us \n", "# WIT Ted Talks\n\n- Dataset uid: 'ted_talks_iwslt'", "### Description\n\nThe Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform.", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International\n\nTED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks!", "### Speaker Locations\n\n- Southern Europe\n- Italy", "### Sizes\n\n- 0.0305 % of total\n- 0.0736 % of ar\n- 0.2002 % of pt\n- 0.0128 % of zh\n- 0.2236 % of vi\n- 0.0330 % of fr\n- 0.0545 % of es\n- 0.0122 % of en\n- 0.3704 % of id\n- 0.0373 % of indic-hi\n- 0.0330 % of indic-ta\n- 0.1393 % of indic-mr\n- 0.0305 % of ca\n- 0.1179 % of indic-ur\n- 0.0147 % of indic-bn\n- 0.0240 % of indic-ml\n- 0.0244 % of indic-te\n- 0.0503 % of indic-gu\n- 0.0211 % of indic-kn\n- 0.0274 % of eu\n- 0.0023 % of indic-as\n- 0.0001 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: ar\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ur\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-as\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-pa\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
14faba8e00f93d1b129d9a3ec7d6b9df4c52e6e3	ROOTS Subset: roots_indic-ta_wikinews # wikinews_filtered - Dataset uid: `wikinews_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0307 % of total - 0.0701 % of ar - 0.3036 % of pt - 0.0271 % of en - 0.0405 % of fr - 0.2119 % of indic-ta - 0.0081 % of zh - 0.0510 % of es - 0.0725 % of ca ### BigScience processing steps #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024	bigscience-data/roots_indic-ta_wikinews	[ "language:ta", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:17:39+00:00	{"language": "ta", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:13:23+00:00	[]	[ "ta" ]	TAGS #language-Tamil #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-ta_wikinews # wikinews_filtered - Dataset uid: 'wikinews_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0307 % of total - 0.0701 % of ar - 0.3036 % of pt - 0.0271 % of en - 0.0405 % of fr - 0.2119 % of indic-ta - 0.0081 % of zh - 0.0510 % of es - 0.0725 % of ca ### BigScience processing steps #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024	[ "# wikinews_filtered\n\n- Dataset uid: 'wikinews_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0307 % of total\n- 0.0701 % of ar\n- 0.3036 % of pt\n- 0.0271 % of en\n- 0.0405 % of fr\n- 0.2119 % of indic-ta\n- 0.0081 % of zh\n- 0.0510 % of es\n- 0.0725 % of ca", "### BigScience processing steps", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024" ]	[ "TAGS\n#language-Tamil #license-cc-by-sa-3.0 #region-us \n", "# wikinews_filtered\n\n- Dataset uid: 'wikinews_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0307 % of total\n- 0.0701 % of ar\n- 0.3036 % of pt\n- 0.0271 % of en\n- 0.0405 % of fr\n- 0.2119 % of indic-ta\n- 0.0081 % of zh\n- 0.0510 % of es\n- 0.0725 % of ca", "### BigScience processing steps", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024" ]
0ff5ec8974535e3fb55b760430384aea52dc8d1d	ROOTS Subset: roots_indic-ta_wikibooks # wikibooks_filtered - Dataset uid: `wikibooks_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	bigscience-data/roots_indic-ta_wikibooks	[ "language:ta", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:17:39+00:00	{"language": "ta", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:13:28+00:00	[]	[ "ta" ]	TAGS #language-Tamil #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-ta_wikibooks # wikibooks_filtered - Dataset uid: 'wikibooks_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	[ "# wikibooks_filtered\n\n- Dataset uid: 'wikibooks_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0897 % of total\n- 0.2591 % of en\n- 0.0965 % of fr\n- 0.1691 % of es\n- 0.2834 % of indic-hi\n- 0.2172 % of pt\n- 0.0149 % of zh\n- 0.0279 % of ar\n- 0.1374 % of vi\n- 0.5025 % of id\n- 0.3694 % of indic-ur\n- 0.5744 % of eu\n- 0.0769 % of ca\n- 0.0519 % of indic-ta\n- 0.1470 % of indic-mr\n- 0.0751 % of indic-te\n- 0.0156 % of indic-bn\n- 0.0476 % of indic-ml\n- 0.0087 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-pa\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Tamil #license-cc-by-sa-3.0 #region-us \n", "# wikibooks_filtered\n\n- Dataset uid: 'wikibooks_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0897 % of total\n- 0.2591 % of en\n- 0.0965 % of fr\n- 0.1691 % of es\n- 0.2834 % of indic-hi\n- 0.2172 % of pt\n- 0.0149 % of zh\n- 0.0279 % of ar\n- 0.1374 % of vi\n- 0.5025 % of id\n- 0.3694 % of indic-ur\n- 0.5744 % of eu\n- 0.0769 % of ca\n- 0.0519 % of indic-ta\n- 0.1470 % of indic-mr\n- 0.0751 % of indic-te\n- 0.0156 % of indic-bn\n- 0.0476 % of indic-ml\n- 0.0087 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-pa\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]
cd06d56505ccc7d0f4125176834c83040bc71307	ROOTS Subset: roots_indic-te_pib # pib - Dataset uid: `pib` ### Description Sentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau website. ### Homepage - https://huggingface.co/datasets/pib - http://preon.iiit.ac.in/~jerin/bhasha/ ### Licensing Creative Commons Attribution-ShareAlike 4.0 International ### Speaker Locations ### Sizes - 0.0609 % of total - 0.6301 % of indic-hi - 3.2610 % of indic-ur - 0.6029 % of indic-ta - 3.0834 % of indic-or - 1.9757 % of indic-mr - 0.2181 % of indic-bn - 1.8901 % of indic-pa - 1.5457 % of indic-gu - 0.4695 % of indic-ml - 0.5767 % of indic-te ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-te_pib	[ "language:te", "license:cc-by-sa-4.0", "region:us" ]	2022-05-18T08:17:49+00:00	{"language": "te", "license": "cc-by-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:13:33+00:00	[]	[ "te" ]	TAGS #language-Telugu #license-cc-by-sa-4.0 #region-us	ROOTS Subset: roots_indic-te_pib # pib - Dataset uid: 'pib' ### Description Sentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau website. ### Homepage - URL - URL ### Licensing Creative Commons Attribution-ShareAlike 4.0 International ### Speaker Locations ### Sizes - 0.0609 % of total - 0.6301 % of indic-hi - 3.2610 % of indic-ur - 0.6029 % of indic-ta - 3.0834 % of indic-or - 1.9757 % of indic-mr - 0.2181 % of indic-bn - 1.8901 % of indic-pa - 1.5457 % of indic-gu - 0.4695 % of indic-ml - 0.5767 % of indic-te ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# pib\n\n- Dataset uid: 'pib'", "### Description\n\nSentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau\nwebsite.", "### Homepage\n\n- URL\n- URL", "### Licensing\n\nCreative Commons Attribution-ShareAlike 4.0 International", "### Speaker Locations", "### Sizes\n\n- 0.0609 % of total\n- 0.6301 % of indic-hi\n- 3.2610 % of indic-ur\n- 0.6029 % of indic-ta\n- 3.0834 % of indic-or\n- 1.9757 % of indic-mr\n- 0.2181 % of indic-bn\n- 1.8901 % of indic-pa\n- 1.5457 % of indic-gu\n- 0.4695 % of indic-ml\n- 0.5767 % of indic-te", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Telugu #license-cc-by-sa-4.0 #region-us \n", "# pib\n\n- Dataset uid: 'pib'", "### Description\n\nSentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau\nwebsite.", "### Homepage\n\n- URL\n- URL", "### Licensing\n\nCreative Commons Attribution-ShareAlike 4.0 International", "### Speaker Locations", "### Sizes\n\n- 0.0609 % of total\n- 0.6301 % of indic-hi\n- 3.2610 % of indic-ur\n- 0.6029 % of indic-ta\n- 3.0834 % of indic-or\n- 1.9757 % of indic-mr\n- 0.2181 % of indic-bn\n- 1.8901 % of indic-pa\n- 1.5457 % of indic-gu\n- 0.4695 % of indic-ml\n- 0.5767 % of indic-te", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
a10fae700facc26ee65a1c6d6835d8d11d5f524c	ROOTS Subset: roots_indic-te_mkb # mkb - Dataset uid: `mkb` ### Description The Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages. ### Homepage - https://huggingface.co/datasets/mkb - http://preon.iiit.ac.in/~jerin/bhasha/ ### Licensing ### Speaker Locations ### Sizes - 0.0009 % of total - 0.0174 % of indic-ta - 0.0252 % of indic-ml - 0.0416 % of indic-mr - 0.0601 % of indic-gu - 0.0047 % of indic-bn - 0.0040 % of indic-hi - 0.0185 % of indic-te - 0.0162 % of indic-or - 0.0026 % of indic-ur ### BigScience processing steps #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-te_mkb	[ "language:te", "license:cc-by-sa-4.0", "region:us" ]	2022-05-18T08:17:49+00:00	{"language": "te", "license": "cc-by-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:13:38+00:00	[]	[ "te" ]	TAGS #language-Telugu #license-cc-by-sa-4.0 #region-us	ROOTS Subset: roots_indic-te_mkb # mkb - Dataset uid: 'mkb' ### Description The Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages. ### Homepage - URL - URL ### Licensing ### Speaker Locations ### Sizes - 0.0009 % of total - 0.0174 % of indic-ta - 0.0252 % of indic-ml - 0.0416 % of indic-mr - 0.0601 % of indic-gu - 0.0047 % of indic-bn - 0.0040 % of indic-hi - 0.0185 % of indic-te - 0.0162 % of indic-or - 0.0026 % of indic-ur ### BigScience processing steps #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# mkb\n\n- Dataset uid: 'mkb'", "### Description\n\nThe Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages.", "### Homepage\n\n- URL\n- URL", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0009 % of total\n- 0.0174 % of indic-ta\n- 0.0252 % of indic-ml\n- 0.0416 % of indic-mr\n- 0.0601 % of indic-gu\n- 0.0047 % of indic-bn\n- 0.0040 % of indic-hi\n- 0.0185 % of indic-te\n- 0.0162 % of indic-or\n- 0.0026 % of indic-ur", "### BigScience processing steps", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Telugu #license-cc-by-sa-4.0 #region-us \n", "# mkb\n\n- Dataset uid: 'mkb'", "### Description\n\nThe Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages.", "### Homepage\n\n- URL\n- URL", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0009 % of total\n- 0.0174 % of indic-ta\n- 0.0252 % of indic-ml\n- 0.0416 % of indic-mr\n- 0.0601 % of indic-gu\n- 0.0047 % of indic-bn\n- 0.0040 % of indic-hi\n- 0.0185 % of indic-te\n- 0.0162 % of indic-or\n- 0.0026 % of indic-ur", "### BigScience processing steps", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
bb38933fd5801ce12afd2b42b9ea42525a2185c7	ROOTS Subset: roots_indic-ta_wikisource # wikisource_filtered - Dataset uid: `wikisource_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs	bigscience-data/roots_indic-ta_wikisource	[ "language:ta", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:17:54+00:00	{"language": "ta", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:13:43+00:00	[]	[ "ta" ]	TAGS #language-Tamil #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-ta_wikisource # wikisource_filtered - Dataset uid: 'wikisource_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs	[ "# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of indic-te\n- 1.7155 % of es\n- 19.4800 % of indic-kn\n- 9.1737 % of indic-ml\n- 17.1771 % of indic-mr\n- 17.1870 % of indic-gu\n- 70.3687 % of indic-as\n- 1.0165 % of pt\n- 7.8642 % of indic-pa\n- 1.3501 % of vi\n- 4.9411 % of indic-or\n- 0.5307 % of ca\n- 2.3593 % of id\n- 1.5928 % of eu", "### BigScience processing steps", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- remove_wiki_mojibake\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Tamil #license-cc-by-sa-3.0 #region-us \n", "# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of indic-te\n- 1.7155 % of es\n- 19.4800 % of indic-kn\n- 9.1737 % of indic-ml\n- 17.1771 % of indic-mr\n- 17.1870 % of indic-gu\n- 70.3687 % of indic-as\n- 1.0165 % of pt\n- 7.8642 % of indic-pa\n- 1.3501 % of vi\n- 4.9411 % of indic-or\n- 0.5307 % of ca\n- 2.3593 % of id\n- 1.5928 % of eu", "### BigScience processing steps", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- remove_wiki_mojibake\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs" ]
ca6b1bd88a8cc36bbd6cbde2f35746475bdd1ea7	ROOTS Subset: roots_indic-te_indic_nlp_corpus # Indic NLP Corpus - Dataset uid: `indic_nlp_corpus` ### Description The IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya). ### Homepage https://github.com/AI4Bharat/indicnlp_corpus#publicly-available-classification-datasets ### Licensing - non-commercial use - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International ### Speaker Locations - Southern Asia - India ### Sizes - 3.4019 % of total - 44.4368 % of indic-hi - 64.2943 % of indic-ta - 70.5374 % of indic-ml - 54.2394 % of indic-te - 55.9105 % of indic-kn - 61.6111 % of indic-mr - 67.2242 % of indic-pa - 68.1470 % of indic-or - 64.3879 % of indic-gu - 4.1495 % of indic-bn ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-te_indic_nlp_corpus	[ "language:te", "license:cc-by-nc-4.0", "region:us" ]	2022-05-18T08:17:55+00:00	{"language": "te", "license": "cc-by-nc-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:13:49+00:00	[]	[ "te" ]	TAGS #language-Telugu #license-cc-by-nc-4.0 #region-us	ROOTS Subset: roots_indic-te_indic_nlp_corpus # Indic NLP Corpus - Dataset uid: 'indic_nlp_corpus' ### Description The IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya). ### Homepage URL ### Licensing - non-commercial use - cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International ### Speaker Locations - Southern Asia - India ### Sizes - 3.4019 % of total - 44.4368 % of indic-hi - 64.2943 % of indic-ta - 70.5374 % of indic-ml - 54.2394 % of indic-te - 55.9105 % of indic-kn - 61.6111 % of indic-mr - 67.2242 % of indic-pa - 68.1470 % of indic-or - 64.3879 % of indic-gu - 4.1495 % of indic-bn ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# Indic NLP Corpus\n\n- Dataset uid: 'indic_nlp_corpus'", "### Description\n\nThe IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya).", "### Homepage\n\nURL", "### Licensing\n\n- non-commercial use\n- cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International", "### Speaker Locations\n\n- Southern Asia\n- India", "### Sizes\n\n- 3.4019 % of total\n- 44.4368 % of indic-hi\n- 64.2943 % of indic-ta\n- 70.5374 % of indic-ml\n- 54.2394 % of indic-te\n- 55.9105 % of indic-kn\n- 61.6111 % of indic-mr\n- 67.2242 % of indic-pa\n- 68.1470 % of indic-or\n- 64.3879 % of indic-gu\n- 4.1495 % of indic-bn", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Telugu #license-cc-by-nc-4.0 #region-us \n", "# Indic NLP Corpus\n\n- Dataset uid: 'indic_nlp_corpus'", "### Description\n\nThe IndicNLP corpus is a largescale, general-domain corpus containing 2.7 billion words for 10 Indian languages from two language families. s (IndoAryan branch and Dravidian). Each language has at least 100 million words (except Oriya).", "### Homepage\n\nURL", "### Licensing\n\n- non-commercial use\n- cc-by-nc-sa-4.0: Creative Commons Attribution Non Commercial Share Alike 4.0 International", "### Speaker Locations\n\n- Southern Asia\n- India", "### Sizes\n\n- 3.4019 % of total\n- 44.4368 % of indic-hi\n- 64.2943 % of indic-ta\n- 70.5374 % of indic-ml\n- 54.2394 % of indic-te\n- 55.9105 % of indic-kn\n- 61.6111 % of indic-mr\n- 67.2242 % of indic-pa\n- 68.1470 % of indic-or\n- 64.3879 % of indic-gu\n- 4.1495 % of indic-bn", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
7f41315ec8092af886d4961fce9ece38dbcc0ab2	ROOTS Subset: roots_indic-te_ted_talks_iwslt # WIT Ted Talks - Dataset uid: `ted_talks_iwslt` ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage https://github.com/huggingface/datasets/blob/master/datasets/ted_talks_iwslt/README.md ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-te_ted_talks_iwslt	[ "language:te", "license:cc-by-nc-nd-4.0", "region:us" ]	2022-05-18T08:17:58+00:00	{"language": "te", "license": "cc-by-nc-nd-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:13:54+00:00	[]	[ "te" ]	TAGS #language-Telugu #license-cc-by-nc-nd-4.0 #region-us	ROOTS Subset: roots_indic-te_ted_talks_iwslt # WIT Ted Talks - Dataset uid: 'ted_talks_iwslt' ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage URL ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# WIT Ted Talks\n\n- Dataset uid: 'ted_talks_iwslt'", "### Description\n\nThe Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform.", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International\n\nTED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks!", "### Speaker Locations\n\n- Southern Europe\n- Italy", "### Sizes\n\n- 0.0305 % of total\n- 0.0736 % of ar\n- 0.2002 % of pt\n- 0.0128 % of zh\n- 0.2236 % of vi\n- 0.0330 % of fr\n- 0.0545 % of es\n- 0.0122 % of en\n- 0.3704 % of id\n- 0.0373 % of indic-hi\n- 0.0330 % of indic-ta\n- 0.1393 % of indic-mr\n- 0.0305 % of ca\n- 0.1179 % of indic-ur\n- 0.0147 % of indic-bn\n- 0.0240 % of indic-ml\n- 0.0244 % of indic-te\n- 0.0503 % of indic-gu\n- 0.0211 % of indic-kn\n- 0.0274 % of eu\n- 0.0023 % of indic-as\n- 0.0001 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: ar\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ur\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-as\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-pa\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Telugu #license-cc-by-nc-nd-4.0 #region-us \n", "# WIT Ted Talks\n\n- Dataset uid: 'ted_talks_iwslt'", "### Description\n\nThe Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform.", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International\n\nTED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks!", "### Speaker Locations\n\n- Southern Europe\n- Italy", "### Sizes\n\n- 0.0305 % of total\n- 0.0736 % of ar\n- 0.2002 % of pt\n- 0.0128 % of zh\n- 0.2236 % of vi\n- 0.0330 % of fr\n- 0.0545 % of es\n- 0.0122 % of en\n- 0.3704 % of id\n- 0.0373 % of indic-hi\n- 0.0330 % of indic-ta\n- 0.1393 % of indic-mr\n- 0.0305 % of ca\n- 0.1179 % of indic-ur\n- 0.0147 % of indic-bn\n- 0.0240 % of indic-ml\n- 0.0244 % of indic-te\n- 0.0503 % of indic-gu\n- 0.0211 % of indic-kn\n- 0.0274 % of eu\n- 0.0023 % of indic-as\n- 0.0001 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: ar\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ur\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-as\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-pa\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
9b9093a6a62b6bd557ee78a3db93d056b33a25d1	ROOTS Subset: roots_indic-ur_mkb # mkb - Dataset uid: `mkb` ### Description The Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages. ### Homepage - https://huggingface.co/datasets/mkb - http://preon.iiit.ac.in/~jerin/bhasha/ ### Licensing ### Speaker Locations ### Sizes - 0.0009 % of total - 0.0174 % of indic-ta - 0.0252 % of indic-ml - 0.0416 % of indic-mr - 0.0601 % of indic-gu - 0.0047 % of indic-bn - 0.0040 % of indic-hi - 0.0185 % of indic-te - 0.0162 % of indic-or - 0.0026 % of indic-ur ### BigScience processing steps #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-ur_mkb	[ "language:ur", "license:cc-by-sa-4.0", "region:us" ]	2022-05-18T08:17:59+00:00	{"language": "ur", "license": "cc-by-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:13:59+00:00	[]	[ "ur" ]	TAGS #language-Urdu #license-cc-by-sa-4.0 #region-us	ROOTS Subset: roots_indic-ur_mkb # mkb - Dataset uid: 'mkb' ### Description The Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages. ### Homepage - URL - URL ### Licensing ### Speaker Locations ### Sizes - 0.0009 % of total - 0.0174 % of indic-ta - 0.0252 % of indic-ml - 0.0416 % of indic-mr - 0.0601 % of indic-gu - 0.0047 % of indic-bn - 0.0040 % of indic-hi - 0.0185 % of indic-te - 0.0162 % of indic-or - 0.0026 % of indic-ur ### BigScience processing steps #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# mkb\n\n- Dataset uid: 'mkb'", "### Description\n\nThe Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages.", "### Homepage\n\n- URL\n- URL", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0009 % of total\n- 0.0174 % of indic-ta\n- 0.0252 % of indic-ml\n- 0.0416 % of indic-mr\n- 0.0601 % of indic-gu\n- 0.0047 % of indic-bn\n- 0.0040 % of indic-hi\n- 0.0185 % of indic-te\n- 0.0162 % of indic-or\n- 0.0026 % of indic-ur", "### BigScience processing steps", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Urdu #license-cc-by-sa-4.0 #region-us \n", "# mkb\n\n- Dataset uid: 'mkb'", "### Description\n\nThe Prime Ministers speeches - Mann Ki Baat, on All India Radio, translated into many languages.", "### Homepage\n\n- URL\n- URL", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0009 % of total\n- 0.0174 % of indic-ta\n- 0.0252 % of indic-ml\n- 0.0416 % of indic-mr\n- 0.0601 % of indic-gu\n- 0.0047 % of indic-bn\n- 0.0040 % of indic-hi\n- 0.0185 % of indic-te\n- 0.0162 % of indic-or\n- 0.0026 % of indic-ur", "### BigScience processing steps", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
e80172e4e764a91e7466fb761ac9fd43a7bbdf4b	ROOTS Subset: roots_indic-te_wikibooks # wikibooks_filtered - Dataset uid: `wikibooks_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	bigscience-data/roots_indic-te_wikibooks	[ "language:te", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:17:59+00:00	{"language": "te", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:14:04+00:00	[]	[ "te" ]	TAGS #language-Telugu #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-te_wikibooks # wikibooks_filtered - Dataset uid: 'wikibooks_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	[ "# wikibooks_filtered\n\n- Dataset uid: 'wikibooks_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0897 % of total\n- 0.2591 % of en\n- 0.0965 % of fr\n- 0.1691 % of es\n- 0.2834 % of indic-hi\n- 0.2172 % of pt\n- 0.0149 % of zh\n- 0.0279 % of ar\n- 0.1374 % of vi\n- 0.5025 % of id\n- 0.3694 % of indic-ur\n- 0.5744 % of eu\n- 0.0769 % of ca\n- 0.0519 % of indic-ta\n- 0.1470 % of indic-mr\n- 0.0751 % of indic-te\n- 0.0156 % of indic-bn\n- 0.0476 % of indic-ml\n- 0.0087 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-pa\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Telugu #license-cc-by-sa-3.0 #region-us \n", "# wikibooks_filtered\n\n- Dataset uid: 'wikibooks_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0897 % of total\n- 0.2591 % of en\n- 0.0965 % of fr\n- 0.1691 % of es\n- 0.2834 % of indic-hi\n- 0.2172 % of pt\n- 0.0149 % of zh\n- 0.0279 % of ar\n- 0.1374 % of vi\n- 0.5025 % of id\n- 0.3694 % of indic-ur\n- 0.5744 % of eu\n- 0.0769 % of ca\n- 0.0519 % of indic-ta\n- 0.1470 % of indic-mr\n- 0.0751 % of indic-te\n- 0.0156 % of indic-bn\n- 0.0476 % of indic-ml\n- 0.0087 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-pa\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]
6c1ef0269d5b6de435296657cb0c1b63b8610793	ROOTS Subset: roots_indic-te_wikiquote # wikiquote_filtered - Dataset uid: `wikiquote_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space	bigscience-data/roots_indic-te_wikiquote	[ "language:te", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:18:00+00:00	{"language": "te", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:14:09+00:00	[]	[ "te" ]	TAGS #language-Telugu #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-te_wikiquote # wikiquote_filtered - Dataset uid: 'wikiquote_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space	[ "# wikiquote_filtered\n\n- Dataset uid: 'wikiquote_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0462 % of total\n- 0.1697 % of en\n- 0.0326 % of fr\n- 0.0216 % of ar\n- 0.0066 % of zh\n- 0.0833 % of pt\n- 0.0357 % of es\n- 0.0783 % of indic-ta\n- 0.0361 % of indic-hi\n- 0.0518 % of ca\n- 0.0405 % of vi\n- 0.0834 % of indic-ml\n- 0.0542 % of indic-te\n- 0.1172 % of indic-gu\n- 0.0634 % of indic-kn\n- 0.0539 % of id\n- 0.0454 % of indic-ur\n- 0.0337 % of indic-mr\n- 0.0347 % of eu", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-gu\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-kn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space" ]	[ "TAGS\n#language-Telugu #license-cc-by-sa-3.0 #region-us \n", "# wikiquote_filtered\n\n- Dataset uid: 'wikiquote_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0462 % of total\n- 0.1697 % of en\n- 0.0326 % of fr\n- 0.0216 % of ar\n- 0.0066 % of zh\n- 0.0833 % of pt\n- 0.0357 % of es\n- 0.0783 % of indic-ta\n- 0.0361 % of indic-hi\n- 0.0518 % of ca\n- 0.0405 % of vi\n- 0.0834 % of indic-ml\n- 0.0542 % of indic-te\n- 0.1172 % of indic-gu\n- 0.0634 % of indic-kn\n- 0.0539 % of id\n- 0.0454 % of indic-ur\n- 0.0337 % of indic-mr\n- 0.0347 % of eu", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-gu\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-kn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space" ]
ab826c2c650976bdec91c5cc9ee7bf37103ed770	ROOTS Subset: roots_indic-te_wikipedia # wikipedia - Dataset uid: `wikipedia` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	bigscience-data/roots_indic-te_wikipedia	[ "language:te", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:18:00+00:00	{"language": "te", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:14:19+00:00	[]	[ "te" ]	TAGS #language-Telugu #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-te_wikipedia # wikipedia - Dataset uid: 'wikipedia' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	[ "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Telugu #license-cc-by-sa-3.0 #region-us \n", "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]
daa4c58140ff01e1a92a4ac1ebf82a2208c1f671	ROOTS Subset: roots_indic-ur_leipzig_wortschatz_urdu_newscrawl_2016_sentences # leipzig_wortschatz_urdu_newscrawl_2016_sentences - Dataset uid: `leipzig_wortschatz_urdu_newscrawl_2016_sentences` ### Description Leipzig Wortschatz Crawl ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0587 % of total - 20.7635 % of indic-ur ### BigScience processing steps #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-ur_leipzig_wortschatz_urdu_newscrawl_2016_sentences	[ "language:ur", "license:cc-by-nc-4.0", "region:us" ]	2022-05-18T08:18:01+00:00	{"language": "ur", "license": "cc-by-nc-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:14:24+00:00	[]	[ "ur" ]	TAGS #language-Urdu #license-cc-by-nc-4.0 #region-us	ROOTS Subset: roots_indic-ur_leipzig_wortschatz_urdu_newscrawl_2016_sentences # leipzig_wortschatz_urdu_newscrawl_2016_sentences - Dataset uid: 'leipzig_wortschatz_urdu_newscrawl_2016_sentences' ### Description Leipzig Wortschatz Crawl ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0587 % of total - 20.7635 % of indic-ur ### BigScience processing steps #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# leipzig_wortschatz_urdu_newscrawl_2016_sentences\n\n- Dataset uid: 'leipzig_wortschatz_urdu_newscrawl_2016_sentences'", "### Description\n\nLeipzig Wortschatz Crawl", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0587 % of total\n- 20.7635 % of indic-ur", "### BigScience processing steps", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Urdu #license-cc-by-nc-4.0 #region-us \n", "# leipzig_wortschatz_urdu_newscrawl_2016_sentences\n\n- Dataset uid: 'leipzig_wortschatz_urdu_newscrawl_2016_sentences'", "### Description\n\nLeipzig Wortschatz Crawl", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0587 % of total\n- 20.7635 % of indic-ur", "### BigScience processing steps", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
a95af4c7766e95b740d08a660207ae34a19befee	ROOTS Subset: roots_indic-te_wikisource # wikisource_filtered - Dataset uid: `wikisource_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs	bigscience-data/roots_indic-te_wikisource	[ "language:te", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:18:03+00:00	{"language": "te", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:14:29+00:00	[]	[ "te" ]	TAGS #language-Telugu #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-te_wikisource # wikisource_filtered - Dataset uid: 'wikisource_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs	[ "# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of indic-te\n- 1.7155 % of es\n- 19.4800 % of indic-kn\n- 9.1737 % of indic-ml\n- 17.1771 % of indic-mr\n- 17.1870 % of indic-gu\n- 70.3687 % of indic-as\n- 1.0165 % of pt\n- 7.8642 % of indic-pa\n- 1.3501 % of vi\n- 4.9411 % of indic-or\n- 0.5307 % of ca\n- 2.3593 % of id\n- 1.5928 % of eu", "### BigScience processing steps", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- remove_wiki_mojibake\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Telugu #license-cc-by-sa-3.0 #region-us \n", "# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of indic-te\n- 1.7155 % of es\n- 19.4800 % of indic-kn\n- 9.1737 % of indic-ml\n- 17.1771 % of indic-mr\n- 17.1870 % of indic-gu\n- 70.3687 % of indic-as\n- 1.0165 % of pt\n- 7.8642 % of indic-pa\n- 1.3501 % of vi\n- 4.9411 % of indic-or\n- 0.5307 % of ca\n- 2.3593 % of id\n- 1.5928 % of eu", "### BigScience processing steps", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- remove_wiki_mojibake\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs" ]
c7710a030fd574da6c94a144cfd2c7fb125099ca	ROOTS Subset: roots_indic-ur_leipzig_wortschatz_urdu-pk_web_2019_sentences # leipzig_wortschatz_urdu-pk_web_2019_sentences - Dataset uid: `leipzig_wortschatz_urdu-pk_web_2019_sentences` ### Description Leipzig Wortschatz Crawl ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.1056 % of total - 37.3794 % of indic-ur ### BigScience processing steps #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-ur_leipzig_wortschatz_urdu-pk_web_2019_sentences	[ "language:ur", "license:cc-by-nc-4.0", "region:us" ]	2022-05-18T08:18:03+00:00	{"language": "ur", "license": "cc-by-nc-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:14:35+00:00	[]	[ "ur" ]	TAGS #language-Urdu #license-cc-by-nc-4.0 #region-us	ROOTS Subset: roots_indic-ur_leipzig_wortschatz_urdu-pk_web_2019_sentences # leipzig_wortschatz_urdu-pk_web_2019_sentences - Dataset uid: 'leipzig_wortschatz_urdu-pk_web_2019_sentences' ### Description Leipzig Wortschatz Crawl ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.1056 % of total - 37.3794 % of indic-ur ### BigScience processing steps #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# leipzig_wortschatz_urdu-pk_web_2019_sentences\n\n- Dataset uid: 'leipzig_wortschatz_urdu-pk_web_2019_sentences'", "### Description\n\nLeipzig Wortschatz Crawl", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.1056 % of total\n- 37.3794 % of indic-ur", "### BigScience processing steps", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Urdu #license-cc-by-nc-4.0 #region-us \n", "# leipzig_wortschatz_urdu-pk_web_2019_sentences\n\n- Dataset uid: 'leipzig_wortschatz_urdu-pk_web_2019_sentences'", "### Description\n\nLeipzig Wortschatz Crawl", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.1056 % of total\n- 37.3794 % of indic-ur", "### BigScience processing steps", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
517de869ba8b45e086bc59dddb1730fb63dfc69d	ROOTS Subset: roots_indic-ur_wikibooks # wikibooks_filtered - Dataset uid: `wikibooks_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	bigscience-data/roots_indic-ur_wikibooks	[ "language:ur", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:18:11+00:00	{"language": "ur", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:14:41+00:00	[]	[ "ur" ]	TAGS #language-Urdu #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-ur_wikibooks # wikibooks_filtered - Dataset uid: 'wikibooks_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	[ "# wikibooks_filtered\n\n- Dataset uid: 'wikibooks_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0897 % of total\n- 0.2591 % of en\n- 0.0965 % of fr\n- 0.1691 % of es\n- 0.2834 % of indic-hi\n- 0.2172 % of pt\n- 0.0149 % of zh\n- 0.0279 % of ar\n- 0.1374 % of vi\n- 0.5025 % of id\n- 0.3694 % of indic-ur\n- 0.5744 % of eu\n- 0.0769 % of ca\n- 0.0519 % of indic-ta\n- 0.1470 % of indic-mr\n- 0.0751 % of indic-te\n- 0.0156 % of indic-bn\n- 0.0476 % of indic-ml\n- 0.0087 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-pa\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Urdu #license-cc-by-sa-3.0 #region-us \n", "# wikibooks_filtered\n\n- Dataset uid: 'wikibooks_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0897 % of total\n- 0.2591 % of en\n- 0.0965 % of fr\n- 0.1691 % of es\n- 0.2834 % of indic-hi\n- 0.2172 % of pt\n- 0.0149 % of zh\n- 0.0279 % of ar\n- 0.1374 % of vi\n- 0.5025 % of id\n- 0.3694 % of indic-ur\n- 0.5744 % of eu\n- 0.0769 % of ca\n- 0.0519 % of indic-ta\n- 0.1470 % of indic-mr\n- 0.0751 % of indic-te\n- 0.0156 % of indic-bn\n- 0.0476 % of indic-ml\n- 0.0087 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-pa\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]
be1c721f8f568746738474f9e9f0233a66fd944d	ROOTS Subset: roots_indic-ur_ted_talks_iwslt # WIT Ted Talks - Dataset uid: `ted_talks_iwslt` ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage https://github.com/huggingface/datasets/blob/master/datasets/ted_talks_iwslt/README.md ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-ur_ted_talks_iwslt	[ "language:ur", "license:cc-by-nc-nd-4.0", "region:us" ]	2022-05-18T08:18:11+00:00	{"language": "ur", "license": "cc-by-nc-nd-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:14:46+00:00	[]	[ "ur" ]	TAGS #language-Urdu #license-cc-by-nc-nd-4.0 #region-us	ROOTS Subset: roots_indic-ur_ted_talks_iwslt # WIT Ted Talks - Dataset uid: 'ted_talks_iwslt' ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage URL ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# WIT Ted Talks\n\n- Dataset uid: 'ted_talks_iwslt'", "### Description\n\nThe Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform.", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International\n\nTED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks!", "### Speaker Locations\n\n- Southern Europe\n- Italy", "### Sizes\n\n- 0.0305 % of total\n- 0.0736 % of ar\n- 0.2002 % of pt\n- 0.0128 % of zh\n- 0.2236 % of vi\n- 0.0330 % of fr\n- 0.0545 % of es\n- 0.0122 % of en\n- 0.3704 % of id\n- 0.0373 % of indic-hi\n- 0.0330 % of indic-ta\n- 0.1393 % of indic-mr\n- 0.0305 % of ca\n- 0.1179 % of indic-ur\n- 0.0147 % of indic-bn\n- 0.0240 % of indic-ml\n- 0.0244 % of indic-te\n- 0.0503 % of indic-gu\n- 0.0211 % of indic-kn\n- 0.0274 % of eu\n- 0.0023 % of indic-as\n- 0.0001 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: ar\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ur\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-as\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-pa\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Urdu #license-cc-by-nc-nd-4.0 #region-us \n", "# WIT Ted Talks\n\n- Dataset uid: 'ted_talks_iwslt'", "### Description\n\nThe Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform.", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International\n\nTED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks!", "### Speaker Locations\n\n- Southern Europe\n- Italy", "### Sizes\n\n- 0.0305 % of total\n- 0.0736 % of ar\n- 0.2002 % of pt\n- 0.0128 % of zh\n- 0.2236 % of vi\n- 0.0330 % of fr\n- 0.0545 % of es\n- 0.0122 % of en\n- 0.3704 % of id\n- 0.0373 % of indic-hi\n- 0.0330 % of indic-ta\n- 0.1393 % of indic-mr\n- 0.0305 % of ca\n- 0.1179 % of indic-ur\n- 0.0147 % of indic-bn\n- 0.0240 % of indic-ml\n- 0.0244 % of indic-te\n- 0.0503 % of indic-gu\n- 0.0211 % of indic-kn\n- 0.0274 % of eu\n- 0.0023 % of indic-as\n- 0.0001 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: ar\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ur\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-as\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-pa\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
8274d9afccbd64edd5bcb0665af5cd6e658c8398	ROOTS Subset: roots_indic-ur_pib # pib - Dataset uid: `pib` ### Description Sentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau website. ### Homepage - https://huggingface.co/datasets/pib - http://preon.iiit.ac.in/~jerin/bhasha/ ### Licensing Creative Commons Attribution-ShareAlike 4.0 International ### Speaker Locations ### Sizes - 0.0609 % of total - 0.6301 % of indic-hi - 3.2610 % of indic-ur - 0.6029 % of indic-ta - 3.0834 % of indic-or - 1.9757 % of indic-mr - 0.2181 % of indic-bn - 1.8901 % of indic-pa - 1.5457 % of indic-gu - 0.4695 % of indic-ml - 0.5767 % of indic-te ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-ur_pib	[ "language:ur", "license:cc-by-sa-4.0", "region:us" ]	2022-05-18T08:18:11+00:00	{"language": "ur", "license": "cc-by-sa-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:14:51+00:00	[]	[ "ur" ]	TAGS #language-Urdu #license-cc-by-sa-4.0 #region-us	ROOTS Subset: roots_indic-ur_pib # pib - Dataset uid: 'pib' ### Description Sentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau website. ### Homepage - URL - URL ### Licensing Creative Commons Attribution-ShareAlike 4.0 International ### Speaker Locations ### Sizes - 0.0609 % of total - 0.6301 % of indic-hi - 3.2610 % of indic-ur - 0.6029 % of indic-ta - 3.0834 % of indic-or - 1.9757 % of indic-mr - 0.2181 % of indic-bn - 1.8901 % of indic-pa - 1.5457 % of indic-gu - 0.4695 % of indic-ml - 0.5767 % of indic-te ### BigScience processing steps #### Filters applied to: indic-hi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: indic-mr - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# pib\n\n- Dataset uid: 'pib'", "### Description\n\nSentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau\nwebsite.", "### Homepage\n\n- URL\n- URL", "### Licensing\n\nCreative Commons Attribution-ShareAlike 4.0 International", "### Speaker Locations", "### Sizes\n\n- 0.0609 % of total\n- 0.6301 % of indic-hi\n- 3.2610 % of indic-ur\n- 0.6029 % of indic-ta\n- 3.0834 % of indic-or\n- 1.9757 % of indic-mr\n- 0.2181 % of indic-bn\n- 1.8901 % of indic-pa\n- 1.5457 % of indic-gu\n- 0.4695 % of indic-ml\n- 0.5767 % of indic-te", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Urdu #license-cc-by-sa-4.0 #region-us \n", "# pib\n\n- Dataset uid: 'pib'", "### Description\n\nSentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau\nwebsite.", "### Homepage\n\n- URL\n- URL", "### Licensing\n\nCreative Commons Attribution-ShareAlike 4.0 International", "### Speaker Locations", "### Sizes\n\n- 0.0609 % of total\n- 0.6301 % of indic-hi\n- 3.2610 % of indic-ur\n- 0.6029 % of indic-ta\n- 3.0834 % of indic-or\n- 1.9757 % of indic-mr\n- 0.2181 % of indic-bn\n- 1.8901 % of indic-pa\n- 1.5457 % of indic-gu\n- 0.4695 % of indic-ml\n- 0.5767 % of indic-te", "### BigScience processing steps", "#### Filters applied to: indic-hi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
59d4afe25c700c1bb92cfe80e73f3590427fde79	ROOTS Subset: roots_indic-ur_wikiquote # wikiquote_filtered - Dataset uid: `wikiquote_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space	bigscience-data/roots_indic-ur_wikiquote	[ "language:ur", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:18:11+00:00	{"language": "ur", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:15:01+00:00	[]	[ "ur" ]	TAGS #language-Urdu #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-ur_wikiquote # wikiquote_filtered - Dataset uid: 'wikiquote_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space	[ "# wikiquote_filtered\n\n- Dataset uid: 'wikiquote_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0462 % of total\n- 0.1697 % of en\n- 0.0326 % of fr\n- 0.0216 % of ar\n- 0.0066 % of zh\n- 0.0833 % of pt\n- 0.0357 % of es\n- 0.0783 % of indic-ta\n- 0.0361 % of indic-hi\n- 0.0518 % of ca\n- 0.0405 % of vi\n- 0.0834 % of indic-ml\n- 0.0542 % of indic-te\n- 0.1172 % of indic-gu\n- 0.0634 % of indic-kn\n- 0.0539 % of id\n- 0.0454 % of indic-ur\n- 0.0337 % of indic-mr\n- 0.0347 % of eu", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-gu\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-kn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space" ]	[ "TAGS\n#language-Urdu #license-cc-by-sa-3.0 #region-us \n", "# wikiquote_filtered\n\n- Dataset uid: 'wikiquote_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0462 % of total\n- 0.1697 % of en\n- 0.0326 % of fr\n- 0.0216 % of ar\n- 0.0066 % of zh\n- 0.0833 % of pt\n- 0.0357 % of es\n- 0.0783 % of indic-ta\n- 0.0361 % of indic-hi\n- 0.0518 % of ca\n- 0.0405 % of vi\n- 0.0834 % of indic-ml\n- 0.0542 % of indic-te\n- 0.1172 % of indic-gu\n- 0.0634 % of indic-kn\n- 0.0539 % of id\n- 0.0454 % of indic-ur\n- 0.0337 % of indic-mr\n- 0.0347 % of eu", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-gu\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-kn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space" ]
e98085499db2e0124512d6601ef1a37a11c2a02b	ROOTS Subset: roots_indic-ur_urdu-monolingual-corpus # urdu-monolingual-corpus - Dataset uid: `urdu-monolingual-corpus` ### Description We release a sizeable monolingual Urdu corpus automatically tagged with part-of-speech tags. We extend the work of Jawaid and Bojar (2012) who use three different taggers and then apply a voting scheme to disambiguate among the different choices suggested by each tagger. We run this complex ensemble on a large monolingual corpus and release the both plain and tagged corpora. ### Homepage https://www.kaggle.com/Cornell-University/arxiv ### Licensing Mixed ### Speaker Locations ### Sizes - 0.0419 % of total - 14.8201 % of indic-ur ### BigScience processing steps #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_indic-ur_urdu-monolingual-corpus	[ "language:ur", "license:cc-by-nc-sa-3.0", "region:us" ]	2022-05-18T08:18:12+00:00	{"language": "ur", "license": "cc-by-nc-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:15:07+00:00	[]	[ "ur" ]	TAGS #language-Urdu #license-cc-by-nc-sa-3.0 #region-us	ROOTS Subset: roots_indic-ur_urdu-monolingual-corpus # urdu-monolingual-corpus - Dataset uid: 'urdu-monolingual-corpus' ### Description We release a sizeable monolingual Urdu corpus automatically tagged with part-of-speech tags. We extend the work of Jawaid and Bojar (2012) who use three different taggers and then apply a voting scheme to disambiguate among the different choices suggested by each tagger. We run this complex ensemble on a large monolingual corpus and release the both plain and tagged corpora. ### Homepage URL ### Licensing Mixed ### Speaker Locations ### Sizes - 0.0419 % of total - 14.8201 % of indic-ur ### BigScience processing steps #### Filters applied to: indic-ur - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# urdu-monolingual-corpus\n\n- Dataset uid: 'urdu-monolingual-corpus'", "### Description\n\nWe release a sizeable monolingual Urdu corpus automatically tagged with part-of-speech tags. We extend the work of Jawaid and Bojar (2012) who use three different taggers and then apply a voting scheme to disambiguate among the different choices suggested by each tagger. We run this complex ensemble on a large monolingual corpus and release the both plain and tagged corpora.", "### Homepage\n\nURL", "### Licensing\n\nMixed", "### Speaker Locations", "### Sizes\n\n- 0.0419 % of total\n- 14.8201 % of indic-ur", "### BigScience processing steps", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Urdu #license-cc-by-nc-sa-3.0 #region-us \n", "# urdu-monolingual-corpus\n\n- Dataset uid: 'urdu-monolingual-corpus'", "### Description\n\nWe release a sizeable monolingual Urdu corpus automatically tagged with part-of-speech tags. We extend the work of Jawaid and Bojar (2012) who use three different taggers and then apply a voting scheme to disambiguate among the different choices suggested by each tagger. We run this complex ensemble on a large monolingual corpus and release the both plain and tagged corpora.", "### Homepage\n\nURL", "### Licensing\n\nMixed", "### Speaker Locations", "### Sizes\n\n- 0.0419 % of total\n- 14.8201 % of indic-ur", "### BigScience processing steps", "#### Filters applied to: indic-ur\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
2679e438dcb88bc5264985f877955cd61825d63f	ROOTS Subset: roots_indic-ur_wikipedia # wikipedia - Dataset uid: `wikipedia` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	bigscience-data/roots_indic-ur_wikipedia	[ "language:ur", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:18:12+00:00	{"language": "ur", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:15:12+00:00	[]	[ "ur" ]	TAGS #language-Urdu #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_indic-ur_wikipedia # wikipedia - Dataset uid: 'wikipedia' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	[ "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Urdu #license-cc-by-sa-3.0 #region-us \n", "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]
90d734ecd3941155322aead663d42453049b6234	ROOTS Subset: roots_pt_wikiquote # wikiquote_filtered - Dataset uid: `wikiquote_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space	bigscience-data/roots_pt_wikiquote	[ "language:pt", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:18:58+00:00	{"language": "pt", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:15:17+00:00	[]	[ "pt" ]	TAGS #language-Portuguese #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_pt_wikiquote # wikiquote_filtered - Dataset uid: 'wikiquote_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space	[ "# wikiquote_filtered\n\n- Dataset uid: 'wikiquote_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0462 % of total\n- 0.1697 % of en\n- 0.0326 % of fr\n- 0.0216 % of ar\n- 0.0066 % of zh\n- 0.0833 % of pt\n- 0.0357 % of es\n- 0.0783 % of indic-ta\n- 0.0361 % of indic-hi\n- 0.0518 % of ca\n- 0.0405 % of vi\n- 0.0834 % of indic-ml\n- 0.0542 % of indic-te\n- 0.1172 % of indic-gu\n- 0.0634 % of indic-kn\n- 0.0539 % of id\n- 0.0454 % of indic-ur\n- 0.0337 % of indic-mr\n- 0.0347 % of eu", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-gu\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-kn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space" ]	[ "TAGS\n#language-Portuguese #license-cc-by-sa-3.0 #region-us \n", "# wikiquote_filtered\n\n- Dataset uid: 'wikiquote_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0462 % of total\n- 0.1697 % of en\n- 0.0326 % of fr\n- 0.0216 % of ar\n- 0.0066 % of zh\n- 0.0833 % of pt\n- 0.0357 % of es\n- 0.0783 % of indic-ta\n- 0.0361 % of indic-hi\n- 0.0518 % of ca\n- 0.0405 % of vi\n- 0.0834 % of indic-ml\n- 0.0542 % of indic-te\n- 0.1172 % of indic-gu\n- 0.0634 % of indic-kn\n- 0.0539 % of id\n- 0.0454 % of indic-ur\n- 0.0337 % of indic-mr\n- 0.0347 % of eu", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-gu\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-kn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space" ]
1ecb1e393a8ca474eb1363972b86d302f271663a	ROOTS Subset: roots_pt_wikinews # wikinews_filtered - Dataset uid: `wikinews_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0307 % of total - 0.0701 % of ar - 0.3036 % of pt - 0.0271 % of en - 0.0405 % of fr - 0.2119 % of indic-ta - 0.0081 % of zh - 0.0510 % of es - 0.0725 % of ca ### BigScience processing steps #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024	bigscience-data/roots_pt_wikinews	[ "language:pt", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:18:58+00:00	{"language": "pt", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:15:23+00:00	[]	[ "pt" ]	TAGS #language-Portuguese #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_pt_wikinews # wikinews_filtered - Dataset uid: 'wikinews_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0307 % of total - 0.0701 % of ar - 0.3036 % of pt - 0.0271 % of en - 0.0405 % of fr - 0.2119 % of indic-ta - 0.0081 % of zh - 0.0510 % of es - 0.0725 % of ca ### BigScience processing steps #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024	[ "# wikinews_filtered\n\n- Dataset uid: 'wikinews_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0307 % of total\n- 0.0701 % of ar\n- 0.3036 % of pt\n- 0.0271 % of en\n- 0.0405 % of fr\n- 0.2119 % of indic-ta\n- 0.0081 % of zh\n- 0.0510 % of es\n- 0.0725 % of ca", "### BigScience processing steps", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024" ]	[ "TAGS\n#language-Portuguese #license-cc-by-sa-3.0 #region-us \n", "# wikinews_filtered\n\n- Dataset uid: 'wikinews_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0307 % of total\n- 0.0701 % of ar\n- 0.3036 % of pt\n- 0.0271 % of en\n- 0.0405 % of fr\n- 0.2119 % of indic-ta\n- 0.0081 % of zh\n- 0.0510 % of es\n- 0.0725 % of ca", "### BigScience processing steps", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024" ]
c1858a5f6400c42283ba217bfd10cbde16cc34cc	ROOTS Subset: roots_pt_ted_talks_iwslt # WIT Ted Talks - Dataset uid: `ted_talks_iwslt` ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage https://github.com/huggingface/datasets/blob/master/datasets/ted_talks_iwslt/README.md ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_pt_ted_talks_iwslt	[ "language:pt", "license:cc-by-nc-nd-4.0", "region:us" ]	2022-05-18T08:18:58+00:00	{"language": "pt", "license": "cc-by-nc-nd-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:15:28+00:00	[]	[ "pt" ]	TAGS #language-Portuguese #license-cc-by-nc-nd-4.0 #region-us	ROOTS Subset: roots_pt_ted_talks_iwslt # WIT Ted Talks - Dataset uid: 'ted_talks_iwslt' ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage URL ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# WIT Ted Talks\n\n- Dataset uid: 'ted_talks_iwslt'", "### Description\n\nThe Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform.", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International\n\nTED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks!", "### Speaker Locations\n\n- Southern Europe\n- Italy", "### Sizes\n\n- 0.0305 % of total\n- 0.0736 % of ar\n- 0.2002 % of pt\n- 0.0128 % of zh\n- 0.2236 % of vi\n- 0.0330 % of fr\n- 0.0545 % of es\n- 0.0122 % of en\n- 0.3704 % of id\n- 0.0373 % of indic-hi\n- 0.0330 % of indic-ta\n- 0.1393 % of indic-mr\n- 0.0305 % of ca\n- 0.1179 % of indic-ur\n- 0.0147 % of indic-bn\n- 0.0240 % of indic-ml\n- 0.0244 % of indic-te\n- 0.0503 % of indic-gu\n- 0.0211 % of indic-kn\n- 0.0274 % of eu\n- 0.0023 % of indic-as\n- 0.0001 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: ar\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ur\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-as\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-pa\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Portuguese #license-cc-by-nc-nd-4.0 #region-us \n", "# WIT Ted Talks\n\n- Dataset uid: 'ted_talks_iwslt'", "### Description\n\nThe Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform.", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International\n\nTED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks!", "### Speaker Locations\n\n- Southern Europe\n- Italy", "### Sizes\n\n- 0.0305 % of total\n- 0.0736 % of ar\n- 0.2002 % of pt\n- 0.0128 % of zh\n- 0.2236 % of vi\n- 0.0330 % of fr\n- 0.0545 % of es\n- 0.0122 % of en\n- 0.3704 % of id\n- 0.0373 % of indic-hi\n- 0.0330 % of indic-ta\n- 0.1393 % of indic-mr\n- 0.0305 % of ca\n- 0.1179 % of indic-ur\n- 0.0147 % of indic-bn\n- 0.0240 % of indic-ml\n- 0.0244 % of indic-te\n- 0.0503 % of indic-gu\n- 0.0211 % of indic-kn\n- 0.0274 % of eu\n- 0.0023 % of indic-as\n- 0.0001 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: ar\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ur\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-as\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-pa\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
de9de66078f09d0b30ee8ac129a412477fe1b25d	ROOTS Subset: roots_pt_wikimedia # wikimedia_filtered - Dataset uid: `wikimedia_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0005 % of total - 0.0835 % of id - 0.0126 % of ca - 0.0054 % of pt - 0.0005 % of indic-hi ### BigScience processing steps #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	bigscience-data/roots_pt_wikimedia	[ "language:pt", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:18:59+00:00	{"language": "pt", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:15:33+00:00	[]	[ "pt" ]	TAGS #language-Portuguese #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_pt_wikimedia # wikimedia_filtered - Dataset uid: 'wikimedia_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0005 % of total - 0.0835 % of id - 0.0126 % of ca - 0.0054 % of pt - 0.0005 % of indic-hi ### BigScience processing steps #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	[ "# wikimedia_filtered\n\n- Dataset uid: 'wikimedia_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0005 % of total\n- 0.0835 % of id\n- 0.0126 % of ca\n- 0.0054 % of pt\n- 0.0005 % of indic-hi", "### BigScience processing steps", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Portuguese #license-cc-by-sa-3.0 #region-us \n", "# wikimedia_filtered\n\n- Dataset uid: 'wikimedia_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0005 % of total\n- 0.0835 % of id\n- 0.0126 % of ca\n- 0.0054 % of pt\n- 0.0005 % of indic-hi", "### BigScience processing steps", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]
d1fdb22419c5c0e2c8734a67a6020a232d697db2	ROOTS Subset: roots_pt_wikibooks # wikibooks_filtered - Dataset uid: `wikibooks_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	bigscience-data/roots_pt_wikibooks	[ "language:pt", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:18:59+00:00	{"language": "pt", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:15:38+00:00	[]	[ "pt" ]	TAGS #language-Portuguese #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_pt_wikibooks # wikibooks_filtered - Dataset uid: 'wikibooks_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	[ "# wikibooks_filtered\n\n- Dataset uid: 'wikibooks_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0897 % of total\n- 0.2591 % of en\n- 0.0965 % of fr\n- 0.1691 % of es\n- 0.2834 % of indic-hi\n- 0.2172 % of pt\n- 0.0149 % of zh\n- 0.0279 % of ar\n- 0.1374 % of vi\n- 0.5025 % of id\n- 0.3694 % of indic-ur\n- 0.5744 % of eu\n- 0.0769 % of ca\n- 0.0519 % of indic-ta\n- 0.1470 % of indic-mr\n- 0.0751 % of indic-te\n- 0.0156 % of indic-bn\n- 0.0476 % of indic-ml\n- 0.0087 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-pa\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Portuguese #license-cc-by-sa-3.0 #region-us \n", "# wikibooks_filtered\n\n- Dataset uid: 'wikibooks_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0897 % of total\n- 0.2591 % of en\n- 0.0965 % of fr\n- 0.1691 % of es\n- 0.2834 % of indic-hi\n- 0.2172 % of pt\n- 0.0149 % of zh\n- 0.0279 % of ar\n- 0.1374 % of vi\n- 0.5025 % of id\n- 0.3694 % of indic-ur\n- 0.5744 % of eu\n- 0.0769 % of ca\n- 0.0519 % of indic-ta\n- 0.1470 % of indic-mr\n- 0.0751 % of indic-te\n- 0.0156 % of indic-bn\n- 0.0476 % of indic-ml\n- 0.0087 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-pa\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]
7258c542b0aebc0537de200ece4fc9c107925144	ROOTS Subset: roots_pt_wikipedia # wikipedia - Dataset uid: `wikipedia` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	bigscience-data/roots_pt_wikipedia	[ "language:pt", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:19:00+00:00	{"language": "pt", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:15:43+00:00	[]	[ "pt" ]	TAGS #language-Portuguese #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_pt_wikipedia # wikipedia - Dataset uid: 'wikipedia' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	[ "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Portuguese #license-cc-by-sa-3.0 #region-us \n", "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]
d8ffd3bb741bb6ddab04e6eaa49f799f55037c1b	ROOTS Subset: roots_pt_the_pile_europarl # the_pile_europarl - Dataset uid: `the_pile_europarl` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.1278 % of total - 0.4112 % of fr - 1.5555 % of pt - 0.7511 % of es - 0.1503 % of en ### BigScience processing steps #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024	bigscience-data/roots_pt_the_pile_europarl	[ "language:pt", "license:mit", "region:us" ]	2022-05-18T08:19:00+00:00	{"language": "pt", "license": "mit", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:15:48+00:00	[]	[ "pt" ]	TAGS #language-Portuguese #license-mit #region-us	ROOTS Subset: roots_pt_the_pile_europarl # the_pile_europarl - Dataset uid: 'the_pile_europarl' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.1278 % of total - 0.4112 % of fr - 1.5555 % of pt - 0.7511 % of es - 0.1503 % of en ### BigScience processing steps #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024	[ "# the_pile_europarl\n\n- Dataset uid: 'the_pile_europarl'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.1278 % of total\n- 0.4112 % of fr\n- 1.5555 % of pt\n- 0.7511 % of es\n- 0.1503 % of en", "### BigScience processing steps", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024" ]	[ "TAGS\n#language-Portuguese #license-mit #region-us \n", "# the_pile_europarl\n\n- Dataset uid: 'the_pile_europarl'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.1278 % of total\n- 0.4112 % of fr\n- 1.5555 % of pt\n- 0.7511 % of es\n- 0.1503 % of en", "### BigScience processing steps", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024" ]
c37ccc7950c2a8af92ef75c17101407c904a4e73	ROOTS Subset: roots_pt_wikisource # wikisource_filtered - Dataset uid: `wikisource_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs	bigscience-data/roots_pt_wikisource	[ "language:pt", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:19:10+00:00	{"language": "pt", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:15:54+00:00	[]	[ "pt" ]	TAGS #language-Portuguese #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_pt_wikisource # wikisource_filtered - Dataset uid: 'wikisource_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs	[ "# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of indic-te\n- 1.7155 % of es\n- 19.4800 % of indic-kn\n- 9.1737 % of indic-ml\n- 17.1771 % of indic-mr\n- 17.1870 % of indic-gu\n- 70.3687 % of indic-as\n- 1.0165 % of pt\n- 7.8642 % of indic-pa\n- 1.3501 % of vi\n- 4.9411 % of indic-or\n- 0.5307 % of ca\n- 2.3593 % of id\n- 1.5928 % of eu", "### BigScience processing steps", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- remove_wiki_mojibake\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Portuguese #license-cc-by-sa-3.0 #region-us \n", "# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of indic-te\n- 1.7155 % of es\n- 19.4800 % of indic-kn\n- 9.1737 % of indic-ml\n- 17.1771 % of indic-mr\n- 17.1870 % of indic-gu\n- 70.3687 % of indic-as\n- 1.0165 % of pt\n- 7.8642 % of indic-pa\n- 1.3501 % of vi\n- 4.9411 % of indic-or\n- 0.5307 % of ca\n- 2.3593 % of id\n- 1.5928 % of eu", "### BigScience processing steps", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- remove_wiki_mojibake\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs" ]
f2bd9053dc8a9d417b7e8dbff94c050147b4d56e	ROOTS Subset: roots_pt_wikiversity # wikiversity_filtered - Dataset uid: `wikiversity_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0367 % of total - 0.1050 % of en - 0.1178 % of fr - 0.1231 % of pt - 0.0072 % of zh - 0.0393 % of es - 0.0076 % of ar - 0.0069 % of indic-hi ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	bigscience-data/roots_pt_wikiversity	[ "language:pt", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:19:11+00:00	{"language": "pt", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:15:59+00:00	[]	[ "pt" ]	TAGS #language-Portuguese #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_pt_wikiversity # wikiversity_filtered - Dataset uid: 'wikiversity_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0367 % of total - 0.1050 % of en - 0.1178 % of fr - 0.1231 % of pt - 0.0072 % of zh - 0.0393 % of es - 0.0076 % of ar - 0.0069 % of indic-hi ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	[ "# wikiversity_filtered\n\n- Dataset uid: 'wikiversity_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0367 % of total\n- 0.1050 % of en\n- 0.1178 % of fr\n- 0.1231 % of pt\n- 0.0072 % of zh\n- 0.0393 % of es\n- 0.0076 % of ar\n- 0.0069 % of indic-hi", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Portuguese #license-cc-by-sa-3.0 #region-us \n", "# wikiversity_filtered\n\n- Dataset uid: 'wikiversity_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0367 % of total\n- 0.1050 % of en\n- 0.1178 % of fr\n- 0.1231 % of pt\n- 0.0072 % of zh\n- 0.0393 % of es\n- 0.0076 % of ar\n- 0.0069 % of indic-hi", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]
101359a1db643d3b7ec35d172f09b4c0ce521704	ROOTS Subset: roots_pt_wikivoyage # wikivoyage_filtered - Dataset uid: `wikivoyage_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0334 % of total - 0.1097 % of en - 0.0432 % of fr - 0.0863 % of es - 0.0084 % of zh - 0.0892 % of vi - 0.0464 % of indic-bn - 0.0443 % of pt - 0.0130 % of indic-hi ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	bigscience-data/roots_pt_wikivoyage	[ "language:pt", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:19:22+00:00	{"language": "pt", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:16:04+00:00	[]	[ "pt" ]	TAGS #language-Portuguese #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_pt_wikivoyage # wikivoyage_filtered - Dataset uid: 'wikivoyage_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0334 % of total - 0.1097 % of en - 0.0432 % of fr - 0.0863 % of es - 0.0084 % of zh - 0.0892 % of vi - 0.0464 % of indic-bn - 0.0443 % of pt - 0.0130 % of indic-hi ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	[ "# wikivoyage_filtered\n\n- Dataset uid: 'wikivoyage_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0334 % of total\n- 0.1097 % of en\n- 0.0432 % of fr\n- 0.0863 % of es\n- 0.0084 % of zh\n- 0.0892 % of vi\n- 0.0464 % of indic-bn\n- 0.0443 % of pt\n- 0.0130 % of indic-hi", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Portuguese #license-cc-by-sa-3.0 #region-us \n", "# wikivoyage_filtered\n\n- Dataset uid: 'wikivoyage_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0334 % of total\n- 0.1097 % of en\n- 0.0432 % of fr\n- 0.0863 % of es\n- 0.0084 % of zh\n- 0.0892 % of vi\n- 0.0464 % of indic-bn\n- 0.0443 % of pt\n- 0.0130 % of indic-hi", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]
8a7129a74e8555225f5733af515a293ffbf54331	ROOTS Subset: roots_vi_data_on_covid_19_news_coverage_in_vietnam # Data on COVID-19 News Coverage in Vietnam - Dataset uid: `data_on_covid_19_news_coverage_in_vietnam` ### Description The dataset extracted from the AI-enabled news crawler contains the following information: Date: The date of publication of the crawled news articles. Title: The title of the crawled news articles. Url: The Uniform Resource Locators (URLs), or the web addresses, of the crawled news articles. Detail: The content of the crawled news articles ### Homepage https://www.mdpi.com/2306-5729/6/7/70/htm ### Licensing Unclear ### Speaker Locations - South-eastern Asia ### Sizes - 0.0074 % of total - 0.5425 % of vi ### BigScience processing steps #### Filters applied to: vi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_vi_data_on_covid_19_news_coverage_in_vietnam	[ "language:vi", "license:cc-by-4.0", "region:us" ]	2022-05-18T08:19:23+00:00	{"language": "vi", "license": "cc-by-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:16:15+00:00	[]	[ "vi" ]	TAGS #language-Vietnamese #license-cc-by-4.0 #region-us	ROOTS Subset: roots_vi_data_on_covid_19_news_coverage_in_vietnam # Data on COVID-19 News Coverage in Vietnam - Dataset uid: 'data_on_covid_19_news_coverage_in_vietnam' ### Description The dataset extracted from the AI-enabled news crawler contains the following information: Date: The date of publication of the crawled news articles. Title: The title of the crawled news articles. Url: The Uniform Resource Locators (URLs), or the web addresses, of the crawled news articles. Detail: The content of the crawled news articles ### Homepage URL ### Licensing Unclear ### Speaker Locations - South-eastern Asia ### Sizes - 0.0074 % of total - 0.5425 % of vi ### BigScience processing steps #### Filters applied to: vi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# Data on COVID-19 News Coverage in Vietnam\n\n- Dataset uid: 'data_on_covid_19_news_coverage_in_vietnam'", "### Description\n\nThe dataset extracted from the AI-enabled news crawler contains the following information:\n\n Date: The date of publication of the crawled news articles.\n Title: The title of the crawled news articles.\n Url: The Uniform Resource Locators (URLs), or the web addresses, of the crawled news articles.\n Detail: The content of the crawled news articles", "### Homepage\n\nURL", "### Licensing\n\nUnclear", "### Speaker Locations\n\n- South-eastern Asia", "### Sizes\n\n- 0.0074 % of total\n- 0.5425 % of vi", "### BigScience processing steps", "#### Filters applied to: vi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Vietnamese #license-cc-by-4.0 #region-us \n", "# Data on COVID-19 News Coverage in Vietnam\n\n- Dataset uid: 'data_on_covid_19_news_coverage_in_vietnam'", "### Description\n\nThe dataset extracted from the AI-enabled news crawler contains the following information:\n\n Date: The date of publication of the crawled news articles.\n Title: The title of the crawled news articles.\n Url: The Uniform Resource Locators (URLs), or the web addresses, of the crawled news articles.\n Detail: The content of the crawled news articles", "### Homepage\n\nURL", "### Licensing\n\nUnclear", "### Speaker Locations\n\n- South-eastern Asia", "### Sizes\n\n- 0.0074 % of total\n- 0.5425 % of vi", "### BigScience processing steps", "#### Filters applied to: vi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
d9dab57fbc1e702d3c58b02a784175c565f3b2e5	ROOTS Subset: roots_vi_wikiquote # wikiquote_filtered - Dataset uid: `wikiquote_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space	bigscience-data/roots_vi_wikiquote	[ "language:vi", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:19:38+00:00	{"language": "vi", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:16:20+00:00	[]	[ "vi" ]	TAGS #language-Vietnamese #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_vi_wikiquote # wikiquote_filtered - Dataset uid: 'wikiquote_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space	[ "# wikiquote_filtered\n\n- Dataset uid: 'wikiquote_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0462 % of total\n- 0.1697 % of en\n- 0.0326 % of fr\n- 0.0216 % of ar\n- 0.0066 % of zh\n- 0.0833 % of pt\n- 0.0357 % of es\n- 0.0783 % of indic-ta\n- 0.0361 % of indic-hi\n- 0.0518 % of ca\n- 0.0405 % of vi\n- 0.0834 % of indic-ml\n- 0.0542 % of indic-te\n- 0.1172 % of indic-gu\n- 0.0634 % of indic-kn\n- 0.0539 % of id\n- 0.0454 % of indic-ur\n- 0.0337 % of indic-mr\n- 0.0347 % of eu", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-gu\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-kn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space" ]	[ "TAGS\n#language-Vietnamese #license-cc-by-sa-3.0 #region-us \n", "# wikiquote_filtered\n\n- Dataset uid: 'wikiquote_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0462 % of total\n- 0.1697 % of en\n- 0.0326 % of fr\n- 0.0216 % of ar\n- 0.0066 % of zh\n- 0.0833 % of pt\n- 0.0357 % of es\n- 0.0783 % of indic-ta\n- 0.0361 % of indic-hi\n- 0.0518 % of ca\n- 0.0405 % of vi\n- 0.0834 % of indic-ml\n- 0.0542 % of indic-te\n- 0.1172 % of indic-gu\n- 0.0634 % of indic-kn\n- 0.0539 % of id\n- 0.0454 % of indic-ur\n- 0.0337 % of indic-mr\n- 0.0347 % of eu", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-gu\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-kn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space" ]
11dabc88c32775809880b1f80f2af735ef45f112	ROOTS Subset: roots_vi_wikivoyage # wikivoyage_filtered - Dataset uid: `wikivoyage_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0334 % of total - 0.1097 % of en - 0.0432 % of fr - 0.0863 % of es - 0.0084 % of zh - 0.0892 % of vi - 0.0464 % of indic-bn - 0.0443 % of pt - 0.0130 % of indic-hi ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	bigscience-data/roots_vi_wikivoyage	[ "language:vi", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:19:38+00:00	{"language": "vi", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:16:25+00:00	[]	[ "vi" ]	TAGS #language-Vietnamese #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_vi_wikivoyage # wikivoyage_filtered - Dataset uid: 'wikivoyage_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0334 % of total - 0.1097 % of en - 0.0432 % of fr - 0.0863 % of es - 0.0084 % of zh - 0.0892 % of vi - 0.0464 % of indic-bn - 0.0443 % of pt - 0.0130 % of indic-hi ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	[ "# wikivoyage_filtered\n\n- Dataset uid: 'wikivoyage_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0334 % of total\n- 0.1097 % of en\n- 0.0432 % of fr\n- 0.0863 % of es\n- 0.0084 % of zh\n- 0.0892 % of vi\n- 0.0464 % of indic-bn\n- 0.0443 % of pt\n- 0.0130 % of indic-hi", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Vietnamese #license-cc-by-sa-3.0 #region-us \n", "# wikivoyage_filtered\n\n- Dataset uid: 'wikivoyage_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0334 % of total\n- 0.1097 % of en\n- 0.0432 % of fr\n- 0.0863 % of es\n- 0.0084 % of zh\n- 0.0892 % of vi\n- 0.0464 % of indic-bn\n- 0.0443 % of pt\n- 0.0130 % of indic-hi", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]
3dc9b93db41ce9b5e03031a84902d663634a2f49	ROOTS Subset: roots_vi_ted_talks_iwslt # WIT Ted Talks - Dataset uid: `ted_talks_iwslt` ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage https://github.com/huggingface/datasets/blob/master/datasets/ted_talks_iwslt/README.md ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_vi_ted_talks_iwslt	[ "language:vi", "license:cc-by-nc-nd-4.0", "region:us" ]	2022-05-18T08:19:39+00:00	{"language": "vi", "license": "cc-by-nc-nd-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:16:31+00:00	[]	[ "vi" ]	TAGS #language-Vietnamese #license-cc-by-nc-nd-4.0 #region-us	ROOTS Subset: roots_vi_ted_talks_iwslt # WIT Ted Talks - Dataset uid: 'ted_talks_iwslt' ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage URL ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# WIT Ted Talks\n\n- Dataset uid: 'ted_talks_iwslt'", "### Description\n\nThe Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform.", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International\n\nTED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks!", "### Speaker Locations\n\n- Southern Europe\n- Italy", "### Sizes\n\n- 0.0305 % of total\n- 0.0736 % of ar\n- 0.2002 % of pt\n- 0.0128 % of zh\n- 0.2236 % of vi\n- 0.0330 % of fr\n- 0.0545 % of es\n- 0.0122 % of en\n- 0.3704 % of id\n- 0.0373 % of indic-hi\n- 0.0330 % of indic-ta\n- 0.1393 % of indic-mr\n- 0.0305 % of ca\n- 0.1179 % of indic-ur\n- 0.0147 % of indic-bn\n- 0.0240 % of indic-ml\n- 0.0244 % of indic-te\n- 0.0503 % of indic-gu\n- 0.0211 % of indic-kn\n- 0.0274 % of eu\n- 0.0023 % of indic-as\n- 0.0001 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: ar\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ur\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-as\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-pa\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Vietnamese #license-cc-by-nc-nd-4.0 #region-us \n", "# WIT Ted Talks\n\n- Dataset uid: 'ted_talks_iwslt'", "### Description\n\nThe Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform.", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International\n\nTED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks!", "### Speaker Locations\n\n- Southern Europe\n- Italy", "### Sizes\n\n- 0.0305 % of total\n- 0.0736 % of ar\n- 0.2002 % of pt\n- 0.0128 % of zh\n- 0.2236 % of vi\n- 0.0330 % of fr\n- 0.0545 % of es\n- 0.0122 % of en\n- 0.3704 % of id\n- 0.0373 % of indic-hi\n- 0.0330 % of indic-ta\n- 0.1393 % of indic-mr\n- 0.0305 % of ca\n- 0.1179 % of indic-ur\n- 0.0147 % of indic-bn\n- 0.0240 % of indic-ml\n- 0.0244 % of indic-te\n- 0.0503 % of indic-gu\n- 0.0211 % of indic-kn\n- 0.0274 % of eu\n- 0.0023 % of indic-as\n- 0.0001 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: ar\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ur\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-as\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-pa\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
adc96094992f9d5e05f5bed5820a07233d6b82fa	ROOTS Subset: roots_vi_wikibooks # wikibooks_filtered - Dataset uid: `wikibooks_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	bigscience-data/roots_vi_wikibooks	[ "language:vi", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:19:39+00:00	{"language": "vi", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:16:36+00:00	[]	[ "vi" ]	TAGS #language-Vietnamese #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_vi_wikibooks # wikibooks_filtered - Dataset uid: 'wikibooks_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	[ "# wikibooks_filtered\n\n- Dataset uid: 'wikibooks_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0897 % of total\n- 0.2591 % of en\n- 0.0965 % of fr\n- 0.1691 % of es\n- 0.2834 % of indic-hi\n- 0.2172 % of pt\n- 0.0149 % of zh\n- 0.0279 % of ar\n- 0.1374 % of vi\n- 0.5025 % of id\n- 0.3694 % of indic-ur\n- 0.5744 % of eu\n- 0.0769 % of ca\n- 0.0519 % of indic-ta\n- 0.1470 % of indic-mr\n- 0.0751 % of indic-te\n- 0.0156 % of indic-bn\n- 0.0476 % of indic-ml\n- 0.0087 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-pa\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Vietnamese #license-cc-by-sa-3.0 #region-us \n", "# wikibooks_filtered\n\n- Dataset uid: 'wikibooks_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0897 % of total\n- 0.2591 % of en\n- 0.0965 % of fr\n- 0.1691 % of es\n- 0.2834 % of indic-hi\n- 0.2172 % of pt\n- 0.0149 % of zh\n- 0.0279 % of ar\n- 0.1374 % of vi\n- 0.5025 % of id\n- 0.3694 % of indic-ur\n- 0.5744 % of eu\n- 0.0769 % of ca\n- 0.0519 % of indic-ta\n- 0.1470 % of indic-mr\n- 0.0751 % of indic-te\n- 0.0156 % of indic-bn\n- 0.0476 % of indic-ml\n- 0.0087 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-pa\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]
890a2f440eddceae92e9d77b1b2ee5a530741721	ROOTS Subset: roots_vi_vietnamese_poetry # Vietnamese poetry from fsoft AI lab - Dataset uid: `vietnamese_poetry` ### Description 171188 poems with different genres: luc-bat, 5-chu, 7-chu, 8-chu, 4-chu ### Homepage https://github.com/fsoft-ailab/Poem-Generator#dataset ### Licensing - open license - mit: MIT License ### Speaker Locations - South-eastern Asia - Vietnam ### Sizes - 0.0127 % of total - 0.9285 % of vi ### BigScience processing steps #### Filters applied to: vi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_vi_vietnamese_poetry	[ "language:vi", "license:mit", "region:us" ]	2022-05-18T08:19:39+00:00	{"language": "vi", "license": "mit", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:16:41+00:00	[]	[ "vi" ]	TAGS #language-Vietnamese #license-mit #region-us	ROOTS Subset: roots_vi_vietnamese_poetry # Vietnamese poetry from fsoft AI lab - Dataset uid: 'vietnamese_poetry' ### Description 171188 poems with different genres: luc-bat, 5-chu, 7-chu, 8-chu, 4-chu ### Homepage URL ### Licensing - open license - mit: MIT License ### Speaker Locations - South-eastern Asia - Vietnam ### Sizes - 0.0127 % of total - 0.9285 % of vi ### BigScience processing steps #### Filters applied to: vi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# Vietnamese poetry from fsoft AI lab\n\n- Dataset uid: 'vietnamese_poetry'", "### Description\n\n171188 poems with different genres: luc-bat, 5-chu, 7-chu, 8-chu, 4-chu", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- mit: MIT License", "### Speaker Locations\n\n- South-eastern Asia\n- Vietnam", "### Sizes\n\n- 0.0127 % of total\n- 0.9285 % of vi", "### BigScience processing steps", "#### Filters applied to: vi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Vietnamese #license-mit #region-us \n", "# Vietnamese poetry from fsoft AI lab\n\n- Dataset uid: 'vietnamese_poetry'", "### Description\n\n171188 poems with different genres: luc-bat, 5-chu, 7-chu, 8-chu, 4-chu", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- mit: MIT License", "### Speaker Locations\n\n- South-eastern Asia\n- Vietnam", "### Sizes\n\n- 0.0127 % of total\n- 0.9285 % of vi", "### BigScience processing steps", "#### Filters applied to: vi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
607c20312b2b82fa74a79dc02b1fff6b8a8038e7	ROOTS Subset: roots_vi_wikisource # wikisource_filtered - Dataset uid: `wikisource_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs	bigscience-data/roots_vi_wikisource	[ "language:vi", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:19:39+00:00	{"language": "vi", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:16:46+00:00	[]	[ "vi" ]	TAGS #language-Vietnamese #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_vi_wikisource # wikisource_filtered - Dataset uid: 'wikisource_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 2.6306 % of total - 12.7884 % of fr - 19.8886 % of indic-bn - 20.9966 % of indic-ta - 2.3478 % of ar - 4.7068 % of indic-hi - 18.0998 % of indic-te - 1.7155 % of es - 19.4800 % of indic-kn - 9.1737 % of indic-ml - 17.1771 % of indic-mr - 17.1870 % of indic-gu - 70.3687 % of indic-as - 1.0165 % of pt - 7.8642 % of indic-pa - 1.3501 % of vi - 4.9411 % of indic-or - 0.5307 % of ca - 2.3593 % of id - 1.5928 % of eu ### BigScience processing steps #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - remove_wiki_mojibake - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-or - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs	[ "# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of indic-te\n- 1.7155 % of es\n- 19.4800 % of indic-kn\n- 9.1737 % of indic-ml\n- 17.1771 % of indic-mr\n- 17.1870 % of indic-gu\n- 70.3687 % of indic-as\n- 1.0165 % of pt\n- 7.8642 % of indic-pa\n- 1.3501 % of vi\n- 4.9411 % of indic-or\n- 0.5307 % of ca\n- 2.3593 % of id\n- 1.5928 % of eu", "### BigScience processing steps", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- remove_wiki_mojibake\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Vietnamese #license-cc-by-sa-3.0 #region-us \n", "# wikisource_filtered\n\n- Dataset uid: 'wikisource_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 2.6306 % of total\n- 12.7884 % of fr\n- 19.8886 % of indic-bn\n- 20.9966 % of indic-ta\n- 2.3478 % of ar\n- 4.7068 % of indic-hi\n- 18.0998 % of indic-te\n- 1.7155 % of es\n- 19.4800 % of indic-kn\n- 9.1737 % of indic-ml\n- 17.1771 % of indic-mr\n- 17.1870 % of indic-gu\n- 70.3687 % of indic-as\n- 1.0165 % of pt\n- 7.8642 % of indic-pa\n- 1.3501 % of vi\n- 4.9411 % of indic-or\n- 0.5307 % of ca\n- 2.3593 % of id\n- 1.5928 % of eu", "### BigScience processing steps", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- remove_wiki_mojibake\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs" ]
701a0dc494addf020cf6bd3bbbf73c0076390171	ROOTS Subset: roots_vi_wikipedia # wikipedia - Dataset uid: `wikipedia` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	bigscience-data/roots_vi_wikipedia	[ "language:vi", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:19:39+00:00	{"language": "vi", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:16:52+00:00	[]	[ "vi" ]	TAGS #language-Vietnamese #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_vi_wikipedia # wikipedia - Dataset uid: 'wikipedia' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	[ "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Vietnamese #license-cc-by-sa-3.0 #region-us \n", "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]
ba4990a9de8e3ceaf3f15a4ee97e1aea8659caf7	ROOTS Subset: roots_zh-cn_wikipedia # wikipedia - Dataset uid: `wikipedia` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	bigscience-data/roots_zh-cn_wikipedia	[ "language:zh", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:19:49+00:00	{"language": "zh", "license": "cc-by-sa-3.0", "language_bcp47": ["zh-CN"], "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T12:09:07+00:00	[]	[ "zh" ]	TAGS #language-Chinese #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_zh-cn_wikipedia # wikipedia - Dataset uid: 'wikipedia' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	[ "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Chinese #license-cc-by-sa-3.0 #region-us \n", "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]
87d3b12581855b1da02506f532f9786cdc4ab335	ROOTS Subset: roots_zh_du_reader # DuReader - Dataset uid: `du_reader` ### Description DuReader is a large-scale real-world Chinese dataset for Machine Reading Comprehension (MRC) and Question Answering (QA). ### Homepage https://ai.baidu.com/broad/introduction?dataset=dureader ### Licensing - copyright - all rights reserved - apache-2.0: Apache License 2.0 Copyright 2017 Baidu.com, Inc. All Rights Reserved Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ### Speaker Locations - China ### Sizes - 0.1771 % of total - 0.6194 % of zh ### BigScience processing steps #### Filters applied to: zh - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024	bigscience-data/roots_zh_du_reader	[ "language:zh", "license:apache-2.0", "region:us" ]	2022-05-18T08:19:50+00:00	{"language": "zh", "license": "apache-2.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:17:03+00:00	[]	[ "zh" ]	TAGS #language-Chinese #license-apache-2.0 #region-us	ROOTS Subset: roots_zh_du_reader # DuReader - Dataset uid: 'du_reader' ### Description DuReader is a large-scale real-world Chinese dataset for Machine Reading Comprehension (MRC) and Question Answering (QA). ### Homepage URL ### Licensing - copyright - all rights reserved - apache-2.0: Apache License 2.0 Copyright 2017 URL, Inc. All Rights Reserved Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at URL Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ### Speaker Locations - China ### Sizes - 0.1771 % of total - 0.6194 % of zh ### BigScience processing steps #### Filters applied to: zh - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_1024	[ "# DuReader\n\n- Dataset uid: 'du_reader'", "### Description\n\nDuReader is a large-scale real-world Chinese dataset for Machine Reading Comprehension (MRC) and Question Answering (QA).", "### Homepage\n\nURL", "### Licensing\n\n- copyright - all rights reserved\n- apache-2.0: Apache License 2.0\n\nCopyright 2017 URL, Inc. All Rights Reserved\nLicensed under the Apache License, Version 2.0 (the \"License\"); you may not use this file except in compliance with the License. You may obtain a copy of the License at\nURL\nUnless required by applicable law or agreed to in writing, software distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.", "### Speaker Locations\n\n- China", "### Sizes\n\n- 0.1771 % of total\n- 0.6194 % of zh", "### BigScience processing steps", "#### Filters applied to: zh\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024" ]	[ "TAGS\n#language-Chinese #license-apache-2.0 #region-us \n", "# DuReader\n\n- Dataset uid: 'du_reader'", "### Description\n\nDuReader is a large-scale real-world Chinese dataset for Machine Reading Comprehension (MRC) and Question Answering (QA).", "### Homepage\n\nURL", "### Licensing\n\n- copyright - all rights reserved\n- apache-2.0: Apache License 2.0\n\nCopyright 2017 URL, Inc. All Rights Reserved\nLicensed under the Apache License, Version 2.0 (the \"License\"); you may not use this file except in compliance with the License. You may obtain a copy of the License at\nURL\nUnless required by applicable law or agreed to in writing, software distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.", "### Speaker Locations\n\n- China", "### Sizes\n\n- 0.1771 % of total\n- 0.6194 % of zh", "### BigScience processing steps", "#### Filters applied to: zh\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024" ]
1af265b7581d562e88dbc50e56a96aa6c0d4b3ba	ROOTS Subset: roots_vi_binhvq_news_corpus # Binhvq News Corpus - Dataset uid: `binhvq_news_corpus` ### Description ### Homepage https://github.com/binhvq/news-corpus ### Licensing - open license - apache-2.0: Apache License 2.0 ### Speaker Locations - South-eastern Asia - Vietnam ### Sizes - 1.0601 % of total - 77.4543 % of vi ### BigScience processing steps #### Filters applied to: vi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_vi_binhvq_news_corpus	[ "language:vi", "license:apache-2.0", "region:us" ]	2022-05-18T08:19:56+00:00	{"language": "vi", "license": "apache-2.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:17:08+00:00	[]	[ "vi" ]	TAGS #language-Vietnamese #license-apache-2.0 #region-us	ROOTS Subset: roots_vi_binhvq_news_corpus # Binhvq News Corpus - Dataset uid: 'binhvq_news_corpus' ### Description ### Homepage URL ### Licensing - open license - apache-2.0: Apache License 2.0 ### Speaker Locations - South-eastern Asia - Vietnam ### Sizes - 1.0601 % of total - 77.4543 % of vi ### BigScience processing steps #### Filters applied to: vi - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# Binhvq News Corpus\n\n- Dataset uid: 'binhvq_news_corpus'", "### Description", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- apache-2.0: Apache License 2.0", "### Speaker Locations\n\n- South-eastern Asia\n- Vietnam", "### Sizes\n\n- 1.0601 % of total\n- 77.4543 % of vi", "### BigScience processing steps", "#### Filters applied to: vi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Vietnamese #license-apache-2.0 #region-us \n", "# Binhvq News Corpus\n\n- Dataset uid: 'binhvq_news_corpus'", "### Description", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- apache-2.0: Apache License 2.0", "### Speaker Locations\n\n- South-eastern Asia\n- Vietnam", "### Sizes\n\n- 1.0601 % of total\n- 77.4543 % of vi", "### BigScience processing steps", "#### Filters applied to: vi\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
d34d95a4267e244ada5c58021f09647510f12024	ROOTS Subset: roots_zh_ted_talks_iwslt # WIT Ted Talks - Dataset uid: `ted_talks_iwslt` ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage https://github.com/huggingface/datasets/blob/master/datasets/ted_talks_iwslt/README.md ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300	bigscience-data/roots_zh_ted_talks_iwslt	[ "language:zh", "license:cc-by-nc-nd-4.0", "region:us" ]	2022-05-18T08:20:00+00:00	{"language": "zh", "license": "cc-by-nc-nd-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:17:13+00:00	[]	[ "zh" ]	TAGS #language-Chinese #license-cc-by-nc-nd-4.0 #region-us	ROOTS Subset: roots_zh_ted_talks_iwslt # WIT Ted Talks - Dataset uid: 'ted_talks_iwslt' ### Description The Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform. ### Homepage URL ### Licensing - open license - cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International TED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks! ### Speaker Locations - Southern Europe - Italy ### Sizes - 0.0305 % of total - 0.0736 % of ar - 0.2002 % of pt - 0.0128 % of zh - 0.2236 % of vi - 0.0330 % of fr - 0.0545 % of es - 0.0122 % of en - 0.3704 % of id - 0.0373 % of indic-hi - 0.0330 % of indic-ta - 0.1393 % of indic-mr - 0.0305 % of ca - 0.1179 % of indic-ur - 0.0147 % of indic-bn - 0.0240 % of indic-ml - 0.0244 % of indic-te - 0.0503 % of indic-gu - 0.0211 % of indic-kn - 0.0274 % of eu - 0.0023 % of indic-as - 0.0001 % of indic-pa ### BigScience processing steps #### Filters applied to: ar - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: zh - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: ca - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: indic-ur - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-as - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-pa - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300	[ "# WIT Ted Talks\n\n- Dataset uid: 'ted_talks_iwslt'", "### Description\n\nThe Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform.", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International\n\nTED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks!", "### Speaker Locations\n\n- Southern Europe\n- Italy", "### Sizes\n\n- 0.0305 % of total\n- 0.0736 % of ar\n- 0.2002 % of pt\n- 0.0128 % of zh\n- 0.2236 % of vi\n- 0.0330 % of fr\n- 0.0545 % of es\n- 0.0122 % of en\n- 0.3704 % of id\n- 0.0373 % of indic-hi\n- 0.0330 % of indic-ta\n- 0.1393 % of indic-mr\n- 0.0305 % of ca\n- 0.1179 % of indic-ur\n- 0.0147 % of indic-bn\n- 0.0240 % of indic-ml\n- 0.0244 % of indic-te\n- 0.0503 % of indic-gu\n- 0.0211 % of indic-kn\n- 0.0274 % of eu\n- 0.0023 % of indic-as\n- 0.0001 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: ar\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ur\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-as\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-pa\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Chinese #license-cc-by-nc-nd-4.0 #region-us \n", "# WIT Ted Talks\n\n- Dataset uid: 'ted_talks_iwslt'", "### Description\n\nThe Web Inventory Talk is a collection of the original Ted talks and their translated version. The translations are available in more than 109+ languages, though the distribution is not uniform.", "### Homepage\n\nURL", "### Licensing\n\n- open license\n- cc-by-nc-4.0: Creative Commons Attribution Non Commercial 4.0 International\n\nTED makes its collection of video recordings and transcripts of talks available under the Creative Commons BY-NC-ND license (look here). WIT3 acknowledges the authorship of TED talks (BY condition) and does not redistribute transcripts for commercial purposes (NC). As regards the integrity of the work (ND), WIT3 only changes the format of the container, while preserving the original contents. WIT3 aims to support research on human language processing as well as the diffusion of TED Talks!", "### Speaker Locations\n\n- Southern Europe\n- Italy", "### Sizes\n\n- 0.0305 % of total\n- 0.0736 % of ar\n- 0.2002 % of pt\n- 0.0128 % of zh\n- 0.2236 % of vi\n- 0.0330 % of fr\n- 0.0545 % of es\n- 0.0122 % of en\n- 0.3704 % of id\n- 0.0373 % of indic-hi\n- 0.0330 % of indic-ta\n- 0.1393 % of indic-mr\n- 0.0305 % of ca\n- 0.1179 % of indic-ur\n- 0.0147 % of indic-bn\n- 0.0240 % of indic-ml\n- 0.0244 % of indic-te\n- 0.0503 % of indic-gu\n- 0.0211 % of indic-kn\n- 0.0274 % of eu\n- 0.0023 % of indic-as\n- 0.0001 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: ar\n\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ur\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-as\n\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-pa\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300" ]
c4ae2e3dca888e03fb48f7a7cb0885bad2659ec9	ROOTS Subset: roots_zh_wikibooks # wikibooks_filtered - Dataset uid: `wikibooks_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	bigscience-data/roots_zh_wikibooks	[ "language:zh", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:20:00+00:00	{"language": "zh", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:17:18+00:00	[]	[ "zh" ]	TAGS #language-Chinese #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_zh_wikibooks # wikibooks_filtered - Dataset uid: 'wikibooks_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	[ "# wikibooks_filtered\n\n- Dataset uid: 'wikibooks_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0897 % of total\n- 0.2591 % of en\n- 0.0965 % of fr\n- 0.1691 % of es\n- 0.2834 % of indic-hi\n- 0.2172 % of pt\n- 0.0149 % of zh\n- 0.0279 % of ar\n- 0.1374 % of vi\n- 0.5025 % of id\n- 0.3694 % of indic-ur\n- 0.5744 % of eu\n- 0.0769 % of ca\n- 0.0519 % of indic-ta\n- 0.1470 % of indic-mr\n- 0.0751 % of indic-te\n- 0.0156 % of indic-bn\n- 0.0476 % of indic-ml\n- 0.0087 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-pa\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Chinese #license-cc-by-sa-3.0 #region-us \n", "# wikibooks_filtered\n\n- Dataset uid: 'wikibooks_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0897 % of total\n- 0.2591 % of en\n- 0.0965 % of fr\n- 0.1691 % of es\n- 0.2834 % of indic-hi\n- 0.2172 % of pt\n- 0.0149 % of zh\n- 0.0279 % of ar\n- 0.1374 % of vi\n- 0.5025 % of id\n- 0.3694 % of indic-ur\n- 0.5744 % of eu\n- 0.0769 % of ca\n- 0.0519 % of indic-ta\n- 0.1470 % of indic-mr\n- 0.0751 % of indic-te\n- 0.0156 % of indic-bn\n- 0.0476 % of indic-ml\n- 0.0087 % of indic-pa", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-pa\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]
04697f12b922c328bc5ffcd88523c48771cd6fe9	ROOTS Subset: roots_zh-tw_wikipedia # wikipedia - Dataset uid: `wikipedia` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	bigscience-data/roots_zh-tw_wikipedia	[ "language:zh", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:20:00+00:00	{"language": "zh", "license": "cc-by-sa-3.0", "language_bcp47": ["zh-TW"], "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T12:09:12+00:00	[]	[ "zh" ]	TAGS #language-Chinese #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_zh-tw_wikipedia # wikipedia - Dataset uid: 'wikipedia' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 3.2299 % of total - 4.2071 % of en - 5.6773 % of ar - 3.3416 % of fr - 5.2815 % of es - 12.4852 % of ca - 0.4288 % of zh - 0.4286 % of zh - 5.4743 % of indic-bn - 8.9062 % of indic-ta - 21.3313 % of indic-te - 4.4845 % of pt - 4.0493 % of indic-hi - 11.3163 % of indic-ml - 22.5300 % of indic-ur - 4.4902 % of vi - 16.9916 % of indic-kn - 24.7820 % of eu - 11.6241 % of indic-mr - 9.8749 % of id - 9.3489 % of indic-pa - 9.4767 % of indic-gu - 24.1132 % of indic-as - 5.3309 % of indic-or ### BigScience processing steps #### Filters applied to: en - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: fr - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: es - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_1024 #### Filters applied to: zh #### Filters applied to: zh #### Filters applied to: indic-bn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ta - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: pt - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: vi - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-mr - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: id - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-as - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs #### Filters applied to: indic-or - filter_wiki_user_titles - dedup_document - filter_remove_empty_docs	[ "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]	[ "TAGS\n#language-Chinese #license-cc-by-sa-3.0 #region-us \n", "# wikipedia\n\n- Dataset uid: 'wikipedia'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 3.2299 % of total\n- 4.2071 % of en\n- 5.6773 % of ar\n- 3.3416 % of fr\n- 5.2815 % of es\n- 12.4852 % of ca\n- 0.4288 % of zh\n- 0.4286 % of zh\n- 5.4743 % of indic-bn\n- 8.9062 % of indic-ta\n- 21.3313 % of indic-te\n- 4.4845 % of pt\n- 4.0493 % of indic-hi\n- 11.3163 % of indic-ml\n- 22.5300 % of indic-ur\n- 4.4902 % of vi\n- 16.9916 % of indic-kn\n- 24.7820 % of eu\n- 11.6241 % of indic-mr\n- 9.8749 % of id\n- 9.3489 % of indic-pa\n- 9.4767 % of indic-gu\n- 24.1132 % of indic-as\n- 5.3309 % of indic-or", "### BigScience processing steps", "#### Filters applied to: en\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: fr\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh", "#### Filters applied to: zh", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: vi\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-pa\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-as\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs", "#### Filters applied to: indic-or\n\n- filter_wiki_user_titles\n- dedup_document\n- filter_remove_empty_docs" ]
81ba9f6a2b8c721ddcac3e0181b4c236bdbf0591	ROOTS Subset: roots_zh_wikiversity # wikiversity_filtered - Dataset uid: `wikiversity_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0367 % of total - 0.1050 % of en - 0.1178 % of fr - 0.1231 % of pt - 0.0072 % of zh - 0.0393 % of es - 0.0076 % of ar - 0.0069 % of indic-hi ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	bigscience-data/roots_zh_wikiversity	[ "language:zh", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:20:09+00:00	{"language": "zh", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:17:25+00:00	[]	[ "zh" ]	TAGS #language-Chinese #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_zh_wikiversity # wikiversity_filtered - Dataset uid: 'wikiversity_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0367 % of total - 0.1050 % of en - 0.1178 % of fr - 0.1231 % of pt - 0.0072 % of zh - 0.0393 % of es - 0.0076 % of ar - 0.0069 % of indic-hi ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	[ "# wikiversity_filtered\n\n- Dataset uid: 'wikiversity_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0367 % of total\n- 0.1050 % of en\n- 0.1178 % of fr\n- 0.1231 % of pt\n- 0.0072 % of zh\n- 0.0393 % of es\n- 0.0076 % of ar\n- 0.0069 % of indic-hi", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Chinese #license-cc-by-sa-3.0 #region-us \n", "# wikiversity_filtered\n\n- Dataset uid: 'wikiversity_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0367 % of total\n- 0.1050 % of en\n- 0.1178 % of fr\n- 0.1231 % of pt\n- 0.0072 % of zh\n- 0.0393 % of es\n- 0.0076 % of ar\n- 0.0069 % of indic-hi", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]
627a4f726186d534011aaee5fa0282e7a8a38498	ROOTS Subset: roots_zh_wikinews # wikinews_filtered - Dataset uid: `wikinews_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0307 % of total - 0.0701 % of ar - 0.3036 % of pt - 0.0271 % of en - 0.0405 % of fr - 0.2119 % of indic-ta - 0.0081 % of zh - 0.0510 % of es - 0.0725 % of ca ### BigScience processing steps #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024	bigscience-data/roots_zh_wikinews	[ "language:zh", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:20:09+00:00	{"language": "zh", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:17:30+00:00	[]	[ "zh" ]	TAGS #language-Chinese #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_zh_wikinews # wikinews_filtered - Dataset uid: 'wikinews_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0307 % of total - 0.0701 % of ar - 0.3036 % of pt - 0.0271 % of en - 0.0405 % of fr - 0.2119 % of indic-ta - 0.0081 % of zh - 0.0510 % of es - 0.0725 % of ca ### BigScience processing steps #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024	[ "# wikinews_filtered\n\n- Dataset uid: 'wikinews_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0307 % of total\n- 0.0701 % of ar\n- 0.3036 % of pt\n- 0.0271 % of en\n- 0.0405 % of fr\n- 0.2119 % of indic-ta\n- 0.0081 % of zh\n- 0.0510 % of es\n- 0.0725 % of ca", "### BigScience processing steps", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024" ]	[ "TAGS\n#language-Chinese #license-cc-by-sa-3.0 #region-us \n", "# wikinews_filtered\n\n- Dataset uid: 'wikinews_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0307 % of total\n- 0.0701 % of ar\n- 0.3036 % of pt\n- 0.0271 % of en\n- 0.0405 % of fr\n- 0.2119 % of indic-ta\n- 0.0081 % of zh\n- 0.0510 % of es\n- 0.0725 % of ca", "### BigScience processing steps", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024" ]
3c29f897d89f59ebbac2adf34ffff35b07eac525	ROOTS Subset: roots_zh_wikiquote # wikiquote_filtered - Dataset uid: `wikiquote_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space	bigscience-data/roots_zh_wikiquote	[ "language:zh", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:20:11+00:00	{"language": "zh", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:17:35+00:00	[]	[ "zh" ]	TAGS #language-Chinese #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_zh_wikiquote # wikiquote_filtered - Dataset uid: 'wikiquote_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0462 % of total - 0.1697 % of en - 0.0326 % of fr - 0.0216 % of ar - 0.0066 % of zh - 0.0833 % of pt - 0.0357 % of es - 0.0783 % of indic-ta - 0.0361 % of indic-hi - 0.0518 % of ca - 0.0405 % of vi - 0.0834 % of indic-ml - 0.0542 % of indic-te - 0.1172 % of indic-gu - 0.0634 % of indic-kn - 0.0539 % of id - 0.0454 % of indic-ur - 0.0337 % of indic-mr - 0.0347 % of eu ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-gu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-gu - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-kn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-kn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space	[ "# wikiquote_filtered\n\n- Dataset uid: 'wikiquote_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0462 % of total\n- 0.1697 % of en\n- 0.0326 % of fr\n- 0.0216 % of ar\n- 0.0066 % of zh\n- 0.0833 % of pt\n- 0.0357 % of es\n- 0.0783 % of indic-ta\n- 0.0361 % of indic-hi\n- 0.0518 % of ca\n- 0.0405 % of vi\n- 0.0834 % of indic-ml\n- 0.0542 % of indic-te\n- 0.1172 % of indic-gu\n- 0.0634 % of indic-kn\n- 0.0539 % of id\n- 0.0454 % of indic-ur\n- 0.0337 % of indic-mr\n- 0.0347 % of eu", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-gu\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-kn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space" ]	[ "TAGS\n#language-Chinese #license-cc-by-sa-3.0 #region-us \n", "# wikiquote_filtered\n\n- Dataset uid: 'wikiquote_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0462 % of total\n- 0.1697 % of en\n- 0.0326 % of fr\n- 0.0216 % of ar\n- 0.0066 % of zh\n- 0.0833 % of pt\n- 0.0357 % of es\n- 0.0783 % of indic-ta\n- 0.0361 % of indic-hi\n- 0.0518 % of ca\n- 0.0405 % of vi\n- 0.0834 % of indic-ml\n- 0.0542 % of indic-te\n- 0.1172 % of indic-gu\n- 0.0634 % of indic-kn\n- 0.0539 % of id\n- 0.0454 % of indic-ur\n- 0.0337 % of indic-mr\n- 0.0347 % of eu", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: ar\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ar\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: indic-ta\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ta\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- filter_small_docs_bytes_300", "#### Filters applied to: ca\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_ca\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ml\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-ml\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-te\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-te\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-gu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-gu\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-kn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-kn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: id\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_id\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-ur\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- dedup_template_soft\n- filter_remove_empty_docs\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-mr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-mr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: eu\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_eu\n- dedup_template_soft\n- replace_newline_with_space" ]
c928ae5b1f3cb9c9f91d20774049615b7ad1801f	ROOTS Subset: roots_zh_wikivoyage # wikivoyage_filtered - Dataset uid: `wikivoyage_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0334 % of total - 0.1097 % of en - 0.0432 % of fr - 0.0863 % of es - 0.0084 % of zh - 0.0892 % of vi - 0.0464 % of indic-bn - 0.0443 % of pt - 0.0130 % of indic-hi ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	bigscience-data/roots_zh_wikivoyage	[ "language:zh", "license:cc-by-sa-3.0", "region:us" ]	2022-05-18T08:20:23+00:00	{"language": "zh", "license": "cc-by-sa-3.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}}	2022-12-12T11:17:40+00:00	[]	[ "zh" ]	TAGS #language-Chinese #license-cc-by-sa-3.0 #region-us	ROOTS Subset: roots_zh_wikivoyage # wikivoyage_filtered - Dataset uid: 'wikivoyage_filtered' ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0334 % of total - 0.1097 % of en - 0.0432 % of fr - 0.0863 % of es - 0.0084 % of zh - 0.0892 % of vi - 0.0464 % of indic-bn - 0.0443 % of pt - 0.0130 % of indic-hi ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-hi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300	[ "# wikivoyage_filtered\n\n- Dataset uid: 'wikivoyage_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0334 % of total\n- 0.1097 % of en\n- 0.0432 % of fr\n- 0.0863 % of es\n- 0.0084 % of zh\n- 0.0892 % of vi\n- 0.0464 % of indic-bn\n- 0.0443 % of pt\n- 0.0130 % of indic-hi", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]	[ "TAGS\n#language-Chinese #license-cc-by-sa-3.0 #region-us \n", "# wikivoyage_filtered\n\n- Dataset uid: 'wikivoyage_filtered'", "### Description", "### Homepage", "### Licensing", "### Speaker Locations", "### Sizes\n\n- 0.0334 % of total\n- 0.1097 % of en\n- 0.0432 % of fr\n- 0.0863 % of es\n- 0.0084 % of zh\n- 0.0892 % of vi\n- 0.0464 % of indic-bn\n- 0.0443 % of pt\n- 0.0130 % of indic-hi", "### BigScience processing steps", "#### Filters applied to: en\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_en\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: fr\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_fr\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: es\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_es\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: zh\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_zhs\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_1024", "#### Filters applied to: vi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_vi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-bn\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-bn\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: pt\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_pt\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300", "#### Filters applied to: indic-hi\n\n- filter_wiki_user_titles\n- filter_wiki_non_text_type\n- dedup_document\n- filter_remove_empty_docs\n- split_sentences_indic-hi\n- dedup_template_soft\n- replace_newline_with_space\n- filter_small_docs_bytes_300" ]
74ef270ce4489431ee869b06985fc55183e0552b	# Dataset Card for X-Stance ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Repository: [https://github.com/ZurichNLP/xstance](https://github.com/ZurichNLP/xstance) - Paper: [http://ceur-ws.org/Vol-2624/paper9.pdf](http://ceur-ws.org/Vol-2624/paper9.pdf), [https://arxiv.org/abs/2003.08385](https://arxiv.org/abs/2003.08385) - Point of Contact: [Jannis Vamvas](https://twitter.com/j_vamvas) ### Dataset Summary The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions. The comments are partly German, partly French and Italian. The data have been extracted from the Swiss voting advice platform Smartvote. ### Languages German, French/Italian ## Dataset Structure ### Data Instances An example of 'train' looks as follows: ``` { 'id': '0', 'question': 'Eine Volksinitiative fordert, dass die Gesamtfläche der Bauzonen in der Schweiz für die nächsten 20 Jahre auf dem heutigen Stand begrenzt wird. Befürworten Sie dieses Anliegen?', 'comment': 'Eine fixe Grösse verbieten, ist das falsche Mittel', ' 'label': 0 } ``` ### Data Fields - `id`: a 'string' feature. - `question`: a 'string' expressing a claim/topic. - `comment`: a 'string' to be classified for its stance to the source. - `label`: ``` 0: "AGAINST", 1: "FAVOR" ``` ### Data Splits \|languages\|name\|instances\| \|---------\|----\|----:\| \|de\|train\|33850\| \|de\|validation\|2871\| \|de\|test\|11891\| \|fr\|train\|11790\| \|fr\|validation\|1055\| \|fr\|test\|5814\| ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [MIT License](https://github.com/ZurichNLP/xstance/blob/master/LICENSE) ### Citation Information ``` @article{vamvas2020x, title={X-stance: A multilingual multi-target dataset for stance detection}, author={Vamvas, Jannis and Sennrich, Rico}, journal={arXiv preprint arXiv:2003.08385}, year={2020} } ``` ### Contributions Thanks to [mkonxd](https://github.com/mkonxd), [leondz](https://github.com/leondz) for adding this dataset.	strombergnlp/x-stance	[ "task_categories:text-classification", "task_ids:fact-checking", "annotations_creators:crowdsourced", "language_creators:found", "multilinguality:multilingual", "size_categories:10K<n<100K", "language:de", "language:fr", "license:mit", "stance-detection", "arxiv:2003.08385", "region:us" ]	2022-05-18T08:55:43+00:00	{"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["de", "fr"], "license": ["mit"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": ["fact-checking"], "pretty_name": "X-Stance", "tags": ["stance-detection"]}	2022-10-25T20:45:25+00:00	[ "2003.08385" ]	[ "de", "fr" ]	TAGS #task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-found #multilinguality-multilingual #size_categories-10K<n<100K #language-German #language-French #license-mit #stance-detection #arxiv-2003.08385 #region-us	Dataset Card for X-Stance ========================= Table of Contents ----------------- * Table of Contents * Dataset Description + Dataset Summary + Supported Tasks and Leaderboards + Languages * Dataset Structure + Data Instances + Data Fields + Data Splits * Dataset Creation + Curation Rationale + Source Data + Annotations + Personal and Sensitive Information * Considerations for Using the Data + Social Impact of Dataset + Discussion of Biases + Other Known Limitations * Additional Information + Dataset Curators + Licensing Information + Citation Information + Contributions Dataset Description ------------------- * Repository: URL * Paper: URL URL * Point of Contact: Jannis Vamvas ### Dataset Summary The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions. The comments are partly German, partly French and Italian. The data have been extracted from the Swiss voting advice platform Smartvote. ### Languages German, French/Italian Dataset Structure ----------------- ### Data Instances An example of 'train' looks as follows: ### Data Fields * 'id': a 'string' feature. * 'question': a 'string' expressing a claim/topic. * 'comment': a 'string' to be classified for its stance to the source. * 'label': ### Data Splits Dataset Creation ---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information Considerations for Using the Data --------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations Additional Information ---------------------- ### Dataset Curators ### Licensing Information MIT License ### Contributions Thanks to mkonxd, leondz for adding this dataset.	[ "### Dataset Summary\n\n\nThe x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions. The comments are partly German, partly French and Italian. The data have been extracted from the Swiss voting advice platform Smartvote.", "### Languages\n\n\nGerman, French/Italian\n\n\nDataset Structure\n-----------------", "### Data Instances\n\n\nAn example of 'train' looks as follows:", "### Data Fields\n\n\n* 'id': a 'string' feature.\n* 'question': a 'string' expressing a claim/topic.\n* 'comment': a 'string' to be classified for its stance to the source.\n* 'label':", "### Data Splits\n\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nMIT License", "### Contributions\n\n\nThanks to mkonxd, leondz for adding this dataset." ]	[ "TAGS\n#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-found #multilinguality-multilingual #size_categories-10K<n<100K #language-German #language-French #license-mit #stance-detection #arxiv-2003.08385 #region-us \n", "### Dataset Summary\n\n\nThe x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions. The comments are partly German, partly French and Italian. The data have been extracted from the Swiss voting advice platform Smartvote.", "### Languages\n\n\nGerman, French/Italian\n\n\nDataset Structure\n-----------------", "### Data Instances\n\n\nAn example of 'train' looks as follows:", "### Data Fields\n\n\n* 'id': a 'string' feature.\n* 'question': a 'string' expressing a claim/topic.\n* 'comment': a 'string' to be classified for its stance to the source.\n* 'label':", "### Data Splits\n\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nMIT License", "### Contributions\n\n\nThanks to mkonxd, leondz for adding this dataset." ]
a80eef6b5715057fedc1dcd0cf87ed9cc233d118	# Dataset Card for "tydiqa" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Homepage: [https://github.com/google-research-datasets/tydiqa](https://github.com/google-research-datasets/tydiqa) - Repository: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of downloaded dataset files: 3726.74 MB - Size of the generated dataset: 5812.92 MB - Total amount of disk used: 9539.67 MB ### Dataset Summary TyDi QA is a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs. The languages of TyDi QA are diverse with regard to their typology -- the set of linguistic features that each language expresses -- such that we expect models performing well on this set to generalize across a large number of the languages in the world. It contains language phenomena that would not be found in English-only corpora. To provide a realistic information-seeking task and avoid priming effects, questions are written by people who want to know the answer, but don’t know the answer yet, (unlike SQuAD and its descendents) and the data is collected directly in each language without the use of translation (unlike MLQA and XQuAD). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Dataset Structure ### Data Instances #### primary_task - Size of downloaded dataset files: 1863.37 MB - Size of the generated dataset: 5757.59 MB - Total amount of disk used: 7620.96 MB An example of 'validation' looks as follows. ``` This example was too long and was cropped: { "annotations": { "minimal_answers_end_byte": [-1, -1, -1], "minimal_answers_start_byte": [-1, -1, -1], "passage_answer_candidate_index": [-1, -1, -1], "yes_no_answer": ["NONE", "NONE", "NONE"] }, "document_plaintext": "\"\\nรองศาสตราจารย์[1] หม่อมราชวงศ์สุขุมพันธุ์ บริพัตร (22 กันยายน 2495 -) ผู้ว่าราชการกรุงเทพมหานครคนที่ 15 อดีตรองหัวหน้าพรรคปร...", "document_title": "หม่อมราชวงศ์สุขุมพันธุ์ บริพัตร", "document_url": "\"https://th.wikipedia.org/wiki/%E0%B8%AB%E0%B8%A1%E0%B9%88%E0%B8%AD%E0%B8%A1%E0%B8%A3%E0%B8%B2%E0%B8%8A%E0%B8%A7%E0%B8%87%E0%B8%...", "language": "thai", "passage_answer_candidates": "{\"plaintext_end_byte\": [494, 1779, 2931, 3904, 4506, 5588, 6383, 7122, 8224, 9375, 10473, 12563, 15134, 17765, 19863, 21902, 229...", "question_text": "\"หม่อมราชวงศ์สุขุมพันธุ์ บริพัตร เรียนจบจากที่ไหน ?\"..." } ``` #### secondary_task - Size of downloaded dataset files: 1863.37 MB - Size of the generated dataset: 55.34 MB - Total amount of disk used: 1918.71 MB An example of 'validation' looks as follows. ``` This example was too long and was cropped: { "answers": { "answer_start": [394], "text": ["بطولتين"] }, "context": "\"أقيمت البطولة 21 مرة، شارك في النهائيات 78 دولة، وعدد الفرق التي فازت بالبطولة حتى الآن 8 فرق، ويعد المنتخب البرازيلي الأكثر تت...", "id": "arabic-2387335860751143628-1", "question": "\"كم عدد مرات فوز الأوروغواي ببطولة كاس العالم لكرو القدم؟\"...", "title": "قائمة نهائيات كأس العالم" } ``` ### Data Fields The data fields are the same among all splits. #### primary_task - `passage_answer_candidates`: a dictionary feature containing: - `plaintext_start_byte`: a `int32` feature. - `plaintext_end_byte`: a `int32` feature. - `question_text`: a `string` feature. - `document_title`: a `string` feature. - `language`: a `string` feature. - `annotations`: a dictionary feature containing: - `passage_answer_candidate_index`: a `int32` feature. - `minimal_answers_start_byte`: a `int32` feature. - `minimal_answers_end_byte`: a `int32` feature. - `yes_no_answer`: a `string` feature. - `document_plaintext`: a `string` feature. - `document_url`: a `string` feature. #### secondary_task - `id`: a `string` feature. - `title`: a `string` feature. - `context`: a `string` feature. - `question`: a `string` feature. - `answers`: a dictionary feature containing: - `text`: a `string` feature. - `answer_start`: a `int32` feature. ### Data Splits \| name \| train \| validation \| \| -------------- \| -----: \| ---------: \| \| primary_task \| 166916 \| 18670 \| \| secondary_task \| 49881 \| 5077 \| ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @article{tydiqa, title = {TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages}, author = {Jonathan H. Clark and Eunsol Choi and Michael Collins and Dan Garrette and Tom Kwiatkowski and Vitaly Nikolaev and Jennimaria Palomaki} year = {2020}, journal = {Transactions of the Association for Computational Linguistics} } ``` ``` @inproceedings{ruder-etal-2021-xtreme, title = "{XTREME}-{R}: Towards More Challenging and Nuanced Multilingual Evaluation", author = "Ruder, Sebastian and Constant, Noah and Botha, Jan and Siddhant, Aditya and Firat, Orhan and Fu, Jinlan and Liu, Pengfei and Hu, Junjie and Garrette, Dan and Neubig, Graham and Johnson, Melvin", booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing", month = nov, year = "2021", address = "Online and Punta Cana, Dominican Republic", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2021.emnlp-main.802", doi = "10.18653/v1/2021.emnlp-main.802", pages = "10215--10245", } } ```	khalidalt/tydiqa-goldp	[ "task_categories:question-answering", "task_ids:extractive-qa", "annotations_creators:crowdsourced", "language_creators:crowdsourced", "multilinguality:multilingual", "size_categories:unknown", "source_datasets:extended\|wikipedia", "language:en", "language:ar", "language:bn", "language:fi", "language:id", "language:ja", "language:sw", "language:ko", "language:ru", "language:te", "language:th", "license:apache-2.0", "region:us" ]	2022-05-18T13:20:23+00:00	{"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en", "ar", "bn", "fi", "id", "ja", "sw", "ko", "ru", "te", "th"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": ["unknown"], "source_datasets": ["extended\|wikipedia"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa"], "paperswithcode_id": "tydi-qa", "pretty_name": "TyDi QA"}	2022-07-28T20:49:31+00:00	[]	[ "en", "ar", "bn", "fi", "id", "ja", "sw", "ko", "ru", "te", "th" ]	TAGS #task_categories-question-answering #task_ids-extractive-qa #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-multilingual #size_categories-unknown #source_datasets-extended\|wikipedia #language-English #language-Arabic #language-Bengali #language-Finnish #language-Indonesian #language-Japanese #language-Swahili (macrolanguage) #language-Korean #language-Russian #language-Telugu #language-Thai #license-apache-2.0 #region-us	Dataset Card for "tydiqa" ========================= Table of Contents ----------------- * Dataset Description + Dataset Summary + Supported Tasks and Leaderboards + Languages * Dataset Structure + Data Instances + Data Fields + Data Splits * Dataset Creation + Curation Rationale + Source Data + Annotations + Personal and Sensitive Information * Considerations for Using the Data + Social Impact of Dataset + Discussion of Biases + Other Known Limitations * Additional Information + Dataset Curators + Licensing Information + Citation Information + Contributions Dataset Description ------------------- * Homepage: URL * Repository: * Paper: * Point of Contact: * Size of downloaded dataset files: 3726.74 MB * Size of the generated dataset: 5812.92 MB * Total amount of disk used: 9539.67 MB ### Dataset Summary TyDi QA is a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs. The languages of TyDi QA are diverse with regard to their typology -- the set of linguistic features that each language expresses -- such that we expect models performing well on this set to generalize across a large number of the languages in the world. It contains language phenomena that would not be found in English-only corpora. To provide a realistic information-seeking task and avoid priming effects, questions are written by people who want to know the answer, but don’t know the answer yet, (unlike SQuAD and its descendents) and the data is collected directly in each language without the use of translation (unlike MLQA and XQuAD). ### Supported Tasks and Leaderboards ### Languages Dataset Structure ----------------- ### Data Instances #### primary\_task * Size of downloaded dataset files: 1863.37 MB * Size of the generated dataset: 5757.59 MB * Total amount of disk used: 7620.96 MB An example of 'validation' looks as follows. #### secondary\_task * Size of downloaded dataset files: 1863.37 MB * Size of the generated dataset: 55.34 MB * Total amount of disk used: 1918.71 MB An example of 'validation' looks as follows. ### Data Fields The data fields are the same among all splits. #### primary\_task * 'passage\_answer\_candidates': a dictionary feature containing: + 'plaintext\_start\_byte': a 'int32' feature. + 'plaintext\_end\_byte': a 'int32' feature. * 'question\_text': a 'string' feature. * 'document\_title': a 'string' feature. * 'language': a 'string' feature. * 'annotations': a dictionary feature containing: + 'passage\_answer\_candidate\_index': a 'int32' feature. + 'minimal\_answers\_start\_byte': a 'int32' feature. + 'minimal\_answers\_end\_byte': a 'int32' feature. + 'yes\_no\_answer': a 'string' feature. * 'document\_plaintext': a 'string' feature. * 'document\_url': a 'string' feature. #### secondary\_task * 'id': a 'string' feature. * 'title': a 'string' feature. * 'context': a 'string' feature. * 'question': a 'string' feature. * 'answers': a dictionary feature containing: + 'text': a 'string' feature. + 'answer\_start': a 'int32' feature. ### Data Splits Dataset Creation ---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information Considerations for Using the Data --------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations Additional Information ---------------------- ### Dataset Curators ### Licensing Information	[ "### Dataset Summary\n\n\nTyDi QA is a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs.\nThe languages of TyDi QA are diverse with regard to their typology -- the set of linguistic features that each language\nexpresses -- such that we expect models performing well on this set to generalize across a large number of the languages\nin the world. It contains language phenomena that would not be found in English-only corpora. To provide a realistic\ninformation-seeking task and avoid priming effects, questions are written by people who want to know the answer, but\ndon’t know the answer yet, (unlike SQuAD and its descendents) and the data is collected directly in each language without\nthe use of translation (unlike MLQA and XQuAD).", "### Supported Tasks and Leaderboards", "### Languages\n\n\nDataset Structure\n-----------------", "### Data Instances", "#### primary\\_task\n\n\n* Size of downloaded dataset files: 1863.37 MB\n* Size of the generated dataset: 5757.59 MB\n* Total amount of disk used: 7620.96 MB\n\n\nAn example of 'validation' looks as follows.", "#### secondary\\_task\n\n\n* Size of downloaded dataset files: 1863.37 MB\n* Size of the generated dataset: 55.34 MB\n* Total amount of disk used: 1918.71 MB\n\n\nAn example of 'validation' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.", "#### primary\\_task\n\n\n* 'passage\\_answer\\_candidates': a dictionary feature containing:\n\t+ 'plaintext\\_start\\_byte': a 'int32' feature.\n\t+ 'plaintext\\_end\\_byte': a 'int32' feature.\n* 'question\\_text': a 'string' feature.\n* 'document\\_title': a 'string' feature.\n* 'language': a 'string' feature.\n* 'annotations': a dictionary feature containing:\n\t+ 'passage\\_answer\\_candidate\\_index': a 'int32' feature.\n\t+ 'minimal\\_answers\\_start\\_byte': a 'int32' feature.\n\t+ 'minimal\\_answers\\_end\\_byte': a 'int32' feature.\n\t+ 'yes\\_no\\_answer': a 'string' feature.\n* 'document\\_plaintext': a 'string' feature.\n* 'document\\_url': a 'string' feature.", "#### secondary\\_task\n\n\n* 'id': a 'string' feature.\n* 'title': a 'string' feature.\n* 'context': a 'string' feature.\n* 'question': a 'string' feature.\n* 'answers': a dictionary feature containing:\n\t+ 'text': a 'string' feature.\n\t+ 'answer\\_start': a 'int32' feature.", "### Data Splits\n\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information" ]	[ "TAGS\n#task_categories-question-answering #task_ids-extractive-qa #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-multilingual #size_categories-unknown #source_datasets-extended\|wikipedia #language-English #language-Arabic #language-Bengali #language-Finnish #language-Indonesian #language-Japanese #language-Swahili (macrolanguage) #language-Korean #language-Russian #language-Telugu #language-Thai #license-apache-2.0 #region-us \n", "### Dataset Summary\n\n\nTyDi QA is a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs.\nThe languages of TyDi QA are diverse with regard to their typology -- the set of linguistic features that each language\nexpresses -- such that we expect models performing well on this set to generalize across a large number of the languages\nin the world. It contains language phenomena that would not be found in English-only corpora. To provide a realistic\ninformation-seeking task and avoid priming effects, questions are written by people who want to know the answer, but\ndon’t know the answer yet, (unlike SQuAD and its descendents) and the data is collected directly in each language without\nthe use of translation (unlike MLQA and XQuAD).", "### Supported Tasks and Leaderboards", "### Languages\n\n\nDataset Structure\n-----------------", "### Data Instances", "#### primary\\_task\n\n\n* Size of downloaded dataset files: 1863.37 MB\n* Size of the generated dataset: 5757.59 MB\n* Total amount of disk used: 7620.96 MB\n\n\nAn example of 'validation' looks as follows.", "#### secondary\\_task\n\n\n* Size of downloaded dataset files: 1863.37 MB\n* Size of the generated dataset: 55.34 MB\n* Total amount of disk used: 1918.71 MB\n\n\nAn example of 'validation' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.", "#### primary\\_task\n\n\n* 'passage\\_answer\\_candidates': a dictionary feature containing:\n\t+ 'plaintext\\_start\\_byte': a 'int32' feature.\n\t+ 'plaintext\\_end\\_byte': a 'int32' feature.\n* 'question\\_text': a 'string' feature.\n* 'document\\_title': a 'string' feature.\n* 'language': a 'string' feature.\n* 'annotations': a dictionary feature containing:\n\t+ 'passage\\_answer\\_candidate\\_index': a 'int32' feature.\n\t+ 'minimal\\_answers\\_start\\_byte': a 'int32' feature.\n\t+ 'minimal\\_answers\\_end\\_byte': a 'int32' feature.\n\t+ 'yes\\_no\\_answer': a 'string' feature.\n* 'document\\_plaintext': a 'string' feature.\n* 'document\\_url': a 'string' feature.", "#### secondary\\_task\n\n\n* 'id': a 'string' feature.\n* 'title': a 'string' feature.\n* 'context': a 'string' feature.\n* 'question': a 'string' feature.\n* 'answers': a dictionary feature containing:\n\t+ 'text': a 'string' feature.\n\t+ 'answer\\_start': a 'int32' feature.", "### Data Splits\n\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information" ]
563c349d95aa1550bb69848733f8fce712d4c9dd	test	JorenGij/inventorytest	[ "region:us" ]	2022-05-18T13:24:10+00:00	{}	2022-05-18T16:08:05+00:00	[]	[]	TAGS #region-us	test	[]	[ "TAGS\n#region-us \n" ]
655b20b370f8ec6ef0cae5ac08f1c27ec6e72aaf	# Dataset Card for FairytaleQA ## Dataset Description - Homepage: - Repository: https://github.com/uci-soe/FairytaleQAData https://github.com/WorkInTheDark/FairytaleQA_Dataset - Paper: https://aclanthology.org/2022.acl-long.34/ - Leaderboard: - Point of Contact: ### Dataset Summary This is the repository for the FairytaleQA dataset, an open-source dataset focusing on comprehension of narratives, targeting students from kindergarten to eighth grade. The FairytaleQA dataset is annotated by education experts based on an evidence-based theoretical framework. It consists of 10,580 explicit and implicit questions derived from 278 children-friendly stories, covering seven types of narrative elements or relations. ### Supported Tasks and Leaderboards Question-Answering, Question-Generation, Question-Answer Pair Generation ### Languages English ## Dataset Structure ### Data Instances An example of "train" looks as follows: ``` { 'story_name': 'three-dogs', 'story_section': 'once upon a time there was a king who went forth into the world and ... ... guards to watch over the little princess so that she would not get out under the open sky .', 'question': 'why was there great rejoicing in the city and throughout the country ?', 'answer1': 'the people wished their king all that was good .', 'answer2': '', 'local-or-sum': 'local', 'attribute': 'causal relationship', 'ex-or-im': 'explicit', 'ex-or-im2': '', } ``` ### Data Fields - 'story_name': story name - 'story_section': story section related to the QA-pair - 'question': the question content - 'answer1': the 1st answer (available in all splits) - 'answer2': the 2nd answer by another annotator (only available in test / val splits) - 'local-or-sum': 'local' denotes the question is related to only one story section, while 'summary' denotes the question is related to multiple story sections - 'attribute': categorized by education experts into seven narrative elements: character / setting / action / feeling / causal relationship / outcome resolution, detailed definition is described in the paper - 'ex-or-im': 'explicit' denotes the answer can be found in the story content, while 'implicit' denotes the answer require high-level summarization - 'ex-or-im2': similar to 'ex-or-im', but annotated by another annotator (only available in storys in test / val splits) ### Data Splits - train split: 232 books with 8548 QA-pairs - val split: 23 books with 1025 QA-pairs - test split: 23 books with 1007 QA-pairs ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information Our Dataset Paper is accepted to ACL 2022, you may cite: ``` @inproceedings{xu2022fairytaleqa, author={Xu, Ying and Wang, Dakuo and Yu, Mo and Ritchie, Daniel and Yao, Bingsheng and Wu, Tongshuang and Zhang, Zheng and Li, Toby Jia-Jun and Bradford, Nora and Sun, Branda and Hoang, Tran Bao and Sang, Yisi and Hou, Yufang and Ma, Xiaojuan and Yang, Diyi and Peng, Nanyun and Yu, Zhou and Warschauer, Mark}, title = {Fantastic Questions and Where to Find Them: Fairytale{QA} -- An Authentic Dataset for Narrative Comprehension}, publisher = {Association for Computational Linguistics}, year = {2022} } ``` ### Contributions [More Information Needed]	WorkInTheDark/FairytaleQA	[ "task_categories:question-answering", "task_categories:text-generation", "language:en", "license:apache-2.0", "education", "children education", "region:us" ]	2022-05-18T18:11:00+00:00	{"language": ["en"], "license": "apache-2.0", "task_categories": ["question-answering", "text-generation"], "tags": ["education", "children education"]}	2023-08-22T17:49:30+00:00	[]	[ "en" ]	TAGS #task_categories-question-answering #task_categories-text-generation #language-English #license-apache-2.0 #education #children education #region-us	# Dataset Card for FairytaleQA ## Dataset Description - Homepage: - Repository: URL URL - Paper: URL - Leaderboard: - Point of Contact: ### Dataset Summary This is the repository for the FairytaleQA dataset, an open-source dataset focusing on comprehension of narratives, targeting students from kindergarten to eighth grade. The FairytaleQA dataset is annotated by education experts based on an evidence-based theoretical framework. It consists of 10,580 explicit and implicit questions derived from 278 children-friendly stories, covering seven types of narrative elements or relations. ### Supported Tasks and Leaderboards Question-Answering, Question-Generation, Question-Answer Pair Generation ### Languages English ## Dataset Structure ### Data Instances An example of "train" looks as follows: ### Data Fields - 'story_name': story name - 'story_section': story section related to the QA-pair - 'question': the question content - 'answer1': the 1st answer (available in all splits) - 'answer2': the 2nd answer by another annotator (only available in test / val splits) - 'local-or-sum': 'local' denotes the question is related to only one story section, while 'summary' denotes the question is related to multiple story sections - 'attribute': categorized by education experts into seven narrative elements: character / setting / action / feeling / causal relationship / outcome resolution, detailed definition is described in the paper - 'ex-or-im': 'explicit' denotes the answer can be found in the story content, while 'implicit' denotes the answer require high-level summarization - 'ex-or-im2': similar to 'ex-or-im', but annotated by another annotator (only available in storys in test / val splits) ### Data Splits - train split: 232 books with 8548 QA-pairs - val split: 23 books with 1025 QA-pairs - test split: 23 books with 1007 QA-pairs ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information Our Dataset Paper is accepted to ACL 2022, you may cite: ### Contributions	[ "# Dataset Card for FairytaleQA", "## Dataset Description\n\n- Homepage: \n- Repository:\n URL\n URL\n- Paper:\n URL\n- Leaderboard: \n- Point of Contact:", "### Dataset Summary\n\nThis is the repository for the FairytaleQA dataset, an open-source dataset focusing on comprehension of narratives, targeting students from kindergarten to eighth grade. The FairytaleQA dataset is annotated by education experts based on an evidence-based theoretical framework. It consists of 10,580 explicit and implicit questions derived from 278 children-friendly stories, covering seven types of narrative elements or relations.", "### Supported Tasks and Leaderboards\n\nQuestion-Answering, Question-Generation, Question-Answer Pair Generation", "### Languages\n\nEnglish", "## Dataset Structure", "### Data Instances\n\nAn example of \"train\" looks as follows:", "### Data Fields\n\n - 'story_name': story name\n - 'story_section': story section related to the QA-pair\n - 'question': the question content\n - 'answer1': the 1st answer (available in all splits)\n - 'answer2': the 2nd answer by another annotator (only available in test / val splits)\n - 'local-or-sum': 'local' denotes the question is related to only one story section, while 'summary' denotes the question is related to multiple story sections\n - 'attribute': categorized by education experts into seven narrative elements: character / setting / action / feeling / causal relationship / outcome resolution, detailed definition is described in the paper\n - 'ex-or-im': 'explicit' denotes the answer can be found in the story content, while 'implicit' denotes the answer require high-level summarization\n - 'ex-or-im2': similar to 'ex-or-im', but annotated by another annotator (only available in storys in test / val splits)", "### Data Splits\n\n- train split: 232 books with 8548 QA-pairs\n- val split: 23 books with 1025 QA-pairs\n- test split: 23 books with 1007 QA-pairs", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators", "### Licensing Information\n\n\n\n\n\nOur Dataset Paper is accepted to ACL 2022, you may cite:", "### Contributions" ]	[ "TAGS\n#task_categories-question-answering #task_categories-text-generation #language-English #license-apache-2.0 #education #children education #region-us \n", "# Dataset Card for FairytaleQA", "## Dataset Description\n\n- Homepage: \n- Repository:\n URL\n URL\n- Paper:\n URL\n- Leaderboard: \n- Point of Contact:", "### Dataset Summary\n\nThis is the repository for the FairytaleQA dataset, an open-source dataset focusing on comprehension of narratives, targeting students from kindergarten to eighth grade. The FairytaleQA dataset is annotated by education experts based on an evidence-based theoretical framework. It consists of 10,580 explicit and implicit questions derived from 278 children-friendly stories, covering seven types of narrative elements or relations.", "### Supported Tasks and Leaderboards\n\nQuestion-Answering, Question-Generation, Question-Answer Pair Generation", "### Languages\n\nEnglish", "## Dataset Structure", "### Data Instances\n\nAn example of \"train\" looks as follows:", "### Data Fields\n\n - 'story_name': story name\n - 'story_section': story section related to the QA-pair\n - 'question': the question content\n - 'answer1': the 1st answer (available in all splits)\n - 'answer2': the 2nd answer by another annotator (only available in test / val splits)\n - 'local-or-sum': 'local' denotes the question is related to only one story section, while 'summary' denotes the question is related to multiple story sections\n - 'attribute': categorized by education experts into seven narrative elements: character / setting / action / feeling / causal relationship / outcome resolution, detailed definition is described in the paper\n - 'ex-or-im': 'explicit' denotes the answer can be found in the story content, while 'implicit' denotes the answer require high-level summarization\n - 'ex-or-im2': similar to 'ex-or-im', but annotated by another annotator (only available in storys in test / val splits)", "### Data Splits\n\n- train split: 232 books with 8548 QA-pairs\n- val split: 23 books with 1025 QA-pairs\n- test split: 23 books with 1007 QA-pairs", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators", "### Licensing Information\n\n\n\n\n\nOur Dataset Paper is accepted to ACL 2022, you may cite:", "### Contributions" ]
147dd309b32c474936d90d63824a492826b6376b	# Dataset Card for 20_Newsgroups_Fixed ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-instances) - [Data Splits](#data-instances) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) ## Dataset Description - Galileo Homepage: [Galileo ML Data Intelligence Platform](https://www.rungalileo.io) - Repository: [Needs More Information] - Dataset Blog: [Improving Your ML Datasets With Galileo, Part 1](https://www.rungalileo.io/blog/) - Leaderboard: [Needs More Information] - Point of Contact: [Needs More Information] - Sklearn Dataset: [sklearn](https://scikit-learn.org/0.19/datasets/twenty_newsgroups.html#the-20-newsgroups-text-dataset) - 20 Newsgroups Homepage: [newsgroups homepage](http://qwone.com/~jason/20Newsgroups/) ### Dataset Summary This dataset is a version of the [20 Newsgroups](https://scikit-learn.org/0.19/datasets/twenty_newsgroups.html#the-20-newsgroups-text-dataset) dataset fixed with the help of the [Galileo ML Data Intelligence Platform](https://www.rungalileo.io/). In a matter of minutes, Galileo enabled us to uncover and fix a multitude of errors within the original dataset. In the end, we present this improved dataset as a new standard for natural language experimentation and benchmarking using the Newsgroups dataset. ### Curation Rationale This dataset was created to showcase the power of Galileo as a Data Intelligence Platform. Through Galileo, we identify critical error patterns within the original Newsgroups training dataset - garbage data that do not properly fit any newsgroup label category. Moreover, we observe that these errors permeate throughout the test dataset. As a result of our analysis, we propose the addition of a new class to properly categorize and fix the labeling of garbage data samples: a "None" class. Galileo further enables us to quickly make these data sample changes within the training set (changing garbage data labels to None) and helps guide human re-annotation of the test set. #### Total Dataset Errors Fixed: 1163 (6.5% of the dataset) \|Errors / Split. \|Overall\| Train\| Test\| \|---------------------\|------:\|---------:\|---------:\| \|Garbage samples fixed\| 718\| 396\| 322\| \|Empty samples fixed \| 445\| 254\| 254\| \|Total samples fixed \| 1163\| 650\| 650\| To learn more about the process of fixing this dataset, please refer to our [Blog](https://www.rungalileo.io/blog). ## Dataset Structure ### Data Instances For each data sample, there is the text of the newsgroup post, the corresponding newsgroup forum where the message was posted (label), and a data sample id. An example from the dataset looks as follows: ``` {'id': 1, 'text': 'I have win 3.0 and downloaded several icons and BMP\'s but I can\'t figure out\nhow to change the "wallpaper" or use the icons. Any help would be appreciated.\n\n\nThanx,\n\n-Brando' 'label': comp.os.ms-windows.misc} ``` ### Data Fields - id: the unique numerical id associated with a data sample - text: a string containing the text of the newsgroups message - label: a string indicating the newsgroup forum where the sample was posted ### Data Splits The data is split into a training and test split. To reduce bias and test generalizability across time, data samples are split between train and test depending upon whether their message was posted before or after a specific date, respectively. ### Data Classes The fixed data is organized into 20 newsgroup topics + a catch all "None" class. Some of the newsgroups are very closely related to each other (e.g. comp.sys.ibm.pc.hardware / comp.sys.mac.hardware), while others are highly unrelated (e.g misc.forsale / soc.religion.christian). Here is a list of the 21 classes, partitioned according to subject matter: \| comp.graphics<br>comp.os.ms-windows.misc<br>comp.sys.ibm.pc.hardware<br>comp.sys.mac.hardware<br>comp.windows.x \| rec.autos<br>rec.motorcycles<br>rec.sport.baseball<br>rec.sport.hockey \| sci.crypt<br><sci.electronics<br>sci.med<br>sci.space \| \|:---\|:---:\|---:\| \| misc.forsale \| talk.politics.misc<br>talk.politics.guns<br>talk.politics.mideast \| talk.religion.misc<br>alt.atheism<br>soc.religion.christian \| \| None \|	rungalileo/20_Newsgroups_Fixed	[ "task_categories:text-classification", "task_ids:multi-class-classification", "task_ids:topic-classification", "annotations_creators:crowdsourced", "language_creators:crowdsourced", "multilinguality:monolingual", "size_categories:10K<n<100K", "source_datasets:original", "language:en", "license:unknown", "region:us" ]	2022-05-19T00:02:07+00:00	{"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification", "topic-classification"], "pretty_name": "20_Newsgroups_Fixed"}	2022-10-25T09:25:50+00:00	[]	[ "en" ]	TAGS #task_categories-text-classification #task_ids-multi-class-classification #task_ids-topic-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-unknown #region-us	Dataset Card for 20\_Newsgroups\_Fixed ====================================== Table of Contents ----------------- * Dataset Description + Dataset Summary + Supported Tasks + Languages * Dataset Structure + Data Instances + Data Fields + Data Splits * Dataset Creation + Curation Rationale + Source Data + Annotations + Personal and Sensitive Information * Considerations for Using the Data + Social Impact of Dataset + Discussion of Biases + Other Known Limitations * Additional Information + Dataset Curators + Licensing Information + Citation Information Dataset Description ------------------- * Galileo Homepage: Galileo ML Data Intelligence Platform * Repository: * Dataset Blog: Improving Your ML Datasets With Galileo, Part 1 * Leaderboard: * Point of Contact: * Sklearn Dataset: sklearn * 20 Newsgroups Homepage: newsgroups homepage ### Dataset Summary This dataset is a version of the 20 Newsgroups dataset fixed with the help of the Galileo ML Data Intelligence Platform. In a matter of minutes, Galileo enabled us to uncover and fix a multitude of errors within the original dataset. In the end, we present this improved dataset as a new standard for natural language experimentation and benchmarking using the Newsgroups dataset. ### Curation Rationale This dataset was created to showcase the power of Galileo as a Data Intelligence Platform. Through Galileo, we identify critical error patterns within the original Newsgroups training dataset - garbage data that do not properly fit any newsgroup label category. Moreover, we observe that these errors permeate throughout the test dataset. As a result of our analysis, we propose the addition of a new class to properly categorize and fix the labeling of garbage data samples: a "None" class. Galileo further enables us to quickly make these data sample changes within the training set (changing garbage data labels to None) and helps guide human re-annotation of the test set. #### Total Dataset Errors Fixed: 1163 (6.5% of the dataset) To learn more about the process of fixing this dataset, please refer to our Blog. Dataset Structure ----------------- ### Data Instances For each data sample, there is the text of the newsgroup post, the corresponding newsgroup forum where the message was posted (label), and a data sample id. An example from the dataset looks as follows: ### Data Fields * id: the unique numerical id associated with a data sample * text: a string containing the text of the newsgroups message * label: a string indicating the newsgroup forum where the sample was posted ### Data Splits The data is split into a training and test split. To reduce bias and test generalizability across time, data samples are split between train and test depending upon whether their message was posted before or after a specific date, respectively. ### Data Classes The fixed data is organized into 20 newsgroup topics + a catch all "None" class. Some of the newsgroups are very closely related to each other (e.g. URL.hardware / URL.hardware), while others are highly unrelated (e.g misc.forsale / soc.religion.christian). Here is a list of the 21 classes, partitioned according to subject matter:	[ "### Dataset Summary\n\n\nThis dataset is a version of the 20 Newsgroups dataset fixed with the help of the Galileo ML Data Intelligence Platform. In a matter of minutes, Galileo enabled us to uncover and fix a multitude of errors within the original dataset. In the end, we present this improved dataset as a new standard for natural language experimentation and benchmarking using the Newsgroups dataset.", "### Curation Rationale\n\n\nThis dataset was created to showcase the power of Galileo as a Data Intelligence Platform. Through Galileo, we identify critical error patterns within the original Newsgroups training dataset - garbage data that do not properly fit any newsgroup label category. Moreover, we observe that these errors permeate throughout the test dataset.\n\n\nAs a result of our analysis, we propose the addition of a new class to properly categorize and fix the labeling of garbage data samples: a \"None\" class. Galileo further enables us to quickly make these data sample changes within the training set (changing garbage data labels to None) and helps guide human re-annotation of the test set.", "#### Total Dataset Errors Fixed: 1163 (6.5% of the dataset)\n\n\n\nTo learn more about the process of fixing this dataset, please refer to our Blog.\n\n\nDataset Structure\n-----------------", "### Data Instances\n\n\nFor each data sample, there is the text of the newsgroup post, the corresponding newsgroup forum where the message was posted (label), and a data sample id.\n\n\nAn example from the dataset looks as follows:", "### Data Fields\n\n\n* id: the unique numerical id associated with a data sample\n* text: a string containing the text of the newsgroups message\n* label: a string indicating the newsgroup forum where the sample was posted", "### Data Splits\n\n\nThe data is split into a training and test split. To reduce bias and test generalizability across time, data samples are split between train and test depending upon whether their message was posted before or after a specific date, respectively.", "### Data Classes\n\n\nThe fixed data is organized into 20 newsgroup topics + a catch all \"None\" class. Some of the newsgroups are very closely related to each other (e.g. URL.hardware / URL.hardware), while others are highly unrelated (e.g misc.forsale / soc.religion.christian). Here is a list of the 21 classes, partitioned according to subject matter:" ]	[ "TAGS\n#task_categories-text-classification #task_ids-multi-class-classification #task_ids-topic-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-unknown #region-us \n", "### Dataset Summary\n\n\nThis dataset is a version of the 20 Newsgroups dataset fixed with the help of the Galileo ML Data Intelligence Platform. In a matter of minutes, Galileo enabled us to uncover and fix a multitude of errors within the original dataset. In the end, we present this improved dataset as a new standard for natural language experimentation and benchmarking using the Newsgroups dataset.", "### Curation Rationale\n\n\nThis dataset was created to showcase the power of Galileo as a Data Intelligence Platform. Through Galileo, we identify critical error patterns within the original Newsgroups training dataset - garbage data that do not properly fit any newsgroup label category. Moreover, we observe that these errors permeate throughout the test dataset.\n\n\nAs a result of our analysis, we propose the addition of a new class to properly categorize and fix the labeling of garbage data samples: a \"None\" class. Galileo further enables us to quickly make these data sample changes within the training set (changing garbage data labels to None) and helps guide human re-annotation of the test set.", "#### Total Dataset Errors Fixed: 1163 (6.5% of the dataset)\n\n\n\nTo learn more about the process of fixing this dataset, please refer to our Blog.\n\n\nDataset Structure\n-----------------", "### Data Instances\n\n\nFor each data sample, there is the text of the newsgroup post, the corresponding newsgroup forum where the message was posted (label), and a data sample id.\n\n\nAn example from the dataset looks as follows:", "### Data Fields\n\n\n* id: the unique numerical id associated with a data sample\n* text: a string containing the text of the newsgroups message\n* label: a string indicating the newsgroup forum where the sample was posted", "### Data Splits\n\n\nThe data is split into a training and test split. To reduce bias and test generalizability across time, data samples are split between train and test depending upon whether their message was posted before or after a specific date, respectively.", "### Data Classes\n\n\nThe fixed data is organized into 20 newsgroup topics + a catch all \"None\" class. Some of the newsgroups are very closely related to each other (e.g. URL.hardware / URL.hardware), while others are highly unrelated (e.g misc.forsale / soc.religion.christian). Here is a list of the 21 classes, partitioned according to subject matter:" ]
460387eecbfd0e6ae72195fc40416f9553f7d613	a fullwiki context for hotpot_qa	brook/fullwiki-context	[ "region:us" ]	2022-05-19T02:46:01+00:00	{}	2022-05-19T02:46:44+00:00	[]	[]	TAGS #region-us	a fullwiki context for hotpot_qa	[]	[ "TAGS\n#region-us \n" ]
896d4d71b41650fd4051417f09359ebac86661ef	# Dataset Card for Haiku Data	statworx/haiku	[ "task_categories:text-generation", "task_ids:language-modeling", "multilinguality:monolingual", "size_categories:10K<n<100K", "language:en", "region:us" ]	2022-05-19T08:40:41+00:00	{"annotations_creators": [], "language_creators": [], "language": ["en"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "Haiku"}	2022-07-02T12:25:45+00:00	[]	[ "en" ]	TAGS #task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-10K<n<100K #language-English #region-us	# Dataset Card for Haiku Data	[ "# Dataset Card for Haiku Data" ]	[ "TAGS\n#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-10K<n<100K #language-English #region-us \n", "# Dataset Card for Haiku Data" ]
dca814e1ce04213a6600c4e490c0018b2c7004ac	# Dataset Card for "NLPCC 2016: Stance Detection in Chinese Microblogs" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Homepage: [http://tcci.ccf.org.cn/conference/2016/pages/page05_evadata.html](http://tcci.ccf.org.cn/conference/2016/pages/page05_evadata.html) - Repository: - Paper: [https://link.springer.com/chapter/10.1007/978-3-319-50496-4_85](https://link.springer.com/chapter/10.1007/978-3-319-50496-4_85) - Point of Contact: [Mads Kongsback](https://github.com/mkonxd) - Size of downloaded dataset files: - Size of the generated dataset: - Total amount of disk used: ### Dataset Summary This is a stance prediction dataset in Chinese. The data is that from a shared task, stance detection in Chinese microblogs, in NLPCC-ICCPOL 2016. It covers Task A, a mandatory supervised task which detects stance towards five targets of interest with given labeled data. Some instances of the dataset have been removed, as they were without label. ### Supported Tasks and Leaderboards * Stance Detection in Chinese Microblogs ### Languages Chinese, as spoken on the Weibo website (`bcp47:zh`) ## Dataset Structure ### Data Instances Example instance: ``` { 'id': '0', 'target': 'IphoneSE', 'text': '3月31日，苹果iPhone SE正式开卖，然而这款小屏新机并未出现人们预想的疯抢局面。根据市场分析机构Localytics周一公布的数据，iPhone SE正式上市的这个周末，销量成绩并不算太好。', 'stance': 2 } ``` ### Data Fields * id: a `string` field with a unique id for the instance * target: a `string` representing the target of the stance * text: a `string` of the stance-bearing text * stance: an `int` representing class label -- `0`: AGAINST; `1`: FAVOR; `2`: NONE. ### Data Splits The training split has 2986 instances ## Dataset Creation ### Curation Rationale The goal was to create a dataset of microblog text annotated for stance. Six stance targets were selected and data was collected from Sina Weibo for annotation. ### Source Data #### Initial Data Collection and Normalization Not specified #### Who are the source language producers? Sina Weibo users ### Annotations #### Annotation process The stance of each target-microblog pair is duplicated annotated by two students individually. If these two students provide the same annotation, the stance of this microblog-target pair is then labeled. If the different annotation is detected, the third student will be assigned to annotate this pair. Their annotation results will be voted to obtain the final label. #### Who are the annotators? Students in China ### Personal and Sensitive Information No reflections ## Considerations for Using the Data ### Social Impact of Dataset The data preserves social media utterances verbatim and so has obviated any right to be forgotten, though usernames and post IDs are not explicitly included in the data. ### Discussion of Biases There'll be at least a temporal and regional bias to this data, as well as it only representing expressions of stance on six topics. ### Other Known Limitations ## Additional Information ### Dataset Curators The dataset is curated by the paper's authors. ### Licensing Information The authors distribute this data under Creative Commons attribution license, CC-BY 4.0. ### Citation Information ``` @incollection{xu2016overview, title={Overview of nlpcc shared task 4: Stance detection in chinese microblogs}, author={Xu, Ruifeng and Zhou, Yu and Wu, Dongyin and Gui, Lin and Du, Jiachen and Xue, Yun}, booktitle={Natural language understanding and intelligent applications}, pages={907--916}, year={2016}, publisher={Springer} } ``` ### Contributions Added by [@mkonxd](https://github.com/mkonxd), [@leondz](https://github.com/leondz)	strombergnlp/nlpcc-stance	[ "task_categories:text-classification", "task_ids:sentiment-analysis", "annotations_creators:expert-generated", "language_creators:found", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:zh", "license:cc-by-4.0", "stance-detection", "region:us" ]	2022-05-19T10:19:12+00:00	{"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["zh"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-analysis"], "pretty_name": "NLPCC Stance", "tags": ["stance-detection"]}	2022-10-25T20:47:26+00:00	[]	[ "zh" ]	TAGS #task_categories-text-classification #task_ids-sentiment-analysis #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Chinese #license-cc-by-4.0 #stance-detection #region-us	# Dataset Card for "NLPCC 2016: Stance Detection in Chinese Microblogs" ## Table of Contents - Dataset Description - Dataset Summary - Supported Tasks and Leaderboards - Languages - Dataset Structure - Data Instances - Data Fields - Data Splits - Dataset Creation - Curation Rationale - Source Data - Annotations - Personal and Sensitive Information - Considerations for Using the Data - Social Impact of Dataset - Discussion of Biases - Other Known Limitations - Additional Information - Dataset Curators - Licensing Information - Citation Information - Contributions ## Dataset Description - Homepage: URL - Repository: - Paper: URL - Point of Contact: Mads Kongsback - Size of downloaded dataset files: - Size of the generated dataset: - Total amount of disk used: ### Dataset Summary This is a stance prediction dataset in Chinese. The data is that from a shared task, stance detection in Chinese microblogs, in NLPCC-ICCPOL 2016. It covers Task A, a mandatory supervised task which detects stance towards five targets of interest with given labeled data. Some instances of the dataset have been removed, as they were without label. ### Supported Tasks and Leaderboards * Stance Detection in Chinese Microblogs ### Languages Chinese, as spoken on the Weibo website ('bcp47:zh') ## Dataset Structure ### Data Instances Example instance: ### Data Fields * id: a 'string' field with a unique id for the instance * target: a 'string' representing the target of the stance * text: a 'string' of the stance-bearing text * stance: an 'int' representing class label -- '0': AGAINST; '1': FAVOR; '2': NONE. ### Data Splits The training split has 2986 instances ## Dataset Creation ### Curation Rationale The goal was to create a dataset of microblog text annotated for stance. Six stance targets were selected and data was collected from Sina Weibo for annotation. ### Source Data #### Initial Data Collection and Normalization Not specified #### Who are the source language producers? Sina Weibo users ### Annotations #### Annotation process The stance of each target-microblog pair is duplicated annotated by two students individually. If these two students provide the same annotation, the stance of this microblog-target pair is then labeled. If the different annotation is detected, the third student will be assigned to annotate this pair. Their annotation results will be voted to obtain the final label. #### Who are the annotators? Students in China ### Personal and Sensitive Information No reflections ## Considerations for Using the Data ### Social Impact of Dataset The data preserves social media utterances verbatim and so has obviated any right to be forgotten, though usernames and post IDs are not explicitly included in the data. ### Discussion of Biases There'll be at least a temporal and regional bias to this data, as well as it only representing expressions of stance on six topics. ### Other Known Limitations ## Additional Information ### Dataset Curators The dataset is curated by the paper's authors. ### Licensing Information The authors distribute this data under Creative Commons attribution license, CC-BY 4.0. ### Contributions Added by @mkonxd, @leondz	[ "# Dataset Card for \"NLPCC 2016: Stance Detection in Chinese Microblogs\"", "## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions", "## Dataset Description\n\n- Homepage: URL\n- Repository: \n- Paper: URL\n- Point of Contact: Mads Kongsback\n- Size of downloaded dataset files:\n- Size of the generated dataset: \n- Total amount of disk used:", "### Dataset Summary\n\nThis is a stance prediction dataset in Chinese.\nThe data is that from a shared task, stance detection in Chinese microblogs, in NLPCC-ICCPOL 2016. It covers Task A, a mandatory supervised task which detects stance towards five targets of interest with given labeled data. \nSome instances of the dataset have been removed, as they were without label.", "### Supported Tasks and Leaderboards\n\n* Stance Detection in Chinese Microblogs", "### Languages\n\nChinese, as spoken on the Weibo website ('bcp47:zh')", "## Dataset Structure", "### Data Instances\n\nExample instance:", "### Data Fields\n\n* id: a 'string' field with a unique id for the instance\n* target: a 'string' representing the target of the stance\n* text: a 'string' of the stance-bearing text\n* stance: an 'int' representing class label -- '0': AGAINST; '1': FAVOR; '2': NONE.", "### Data Splits\n\nThe training split has 2986 instances", "## Dataset Creation", "### Curation Rationale\n\nThe goal was to create a dataset of microblog text annotated for stance. Six stance targets were selected and data was collected from Sina Weibo for annotation.", "### Source Data", "#### Initial Data Collection and Normalization\n\nNot specified", "#### Who are the source language producers?\n\nSina Weibo users", "### Annotations", "#### Annotation process\n\nThe stance of each target-microblog pair is duplicated annotated by two students\nindividually. If these two students provide the same annotation, the stance of this\nmicroblog-target pair is then labeled. If the different annotation is detected, the third\nstudent will be assigned to annotate this pair. Their annotation results will be voted to\nobtain the final label.", "#### Who are the annotators?\n\nStudents in China", "### Personal and Sensitive Information\n\nNo reflections", "## Considerations for Using the Data", "### Social Impact of Dataset\n\nThe data preserves social media utterances verbatim and so has obviated any right to be forgotten, though usernames and post IDs are not explicitly included in the data.", "### Discussion of Biases\n\nThere'll be at least a temporal and regional bias to this data, as well as it only representing expressions of stance on six topics.", "### Other Known Limitations", "## Additional Information", "### Dataset Curators\n\nThe dataset is curated by the paper's authors.", "### Licensing Information\n\nThe authors distribute this data under Creative Commons attribution license, CC-BY 4.0.", "### Contributions\n\nAdded by @mkonxd, @leondz" ]	[ "TAGS\n#task_categories-text-classification #task_ids-sentiment-analysis #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Chinese #license-cc-by-4.0 #stance-detection #region-us \n", "# Dataset Card for \"NLPCC 2016: Stance Detection in Chinese Microblogs\"", "## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions", "## Dataset Description\n\n- Homepage: URL\n- Repository: \n- Paper: URL\n- Point of Contact: Mads Kongsback\n- Size of downloaded dataset files:\n- Size of the generated dataset: \n- Total amount of disk used:", "### Dataset Summary\n\nThis is a stance prediction dataset in Chinese.\nThe data is that from a shared task, stance detection in Chinese microblogs, in NLPCC-ICCPOL 2016. It covers Task A, a mandatory supervised task which detects stance towards five targets of interest with given labeled data. \nSome instances of the dataset have been removed, as they were without label.", "### Supported Tasks and Leaderboards\n\n* Stance Detection in Chinese Microblogs", "### Languages\n\nChinese, as spoken on the Weibo website ('bcp47:zh')", "## Dataset Structure", "### Data Instances\n\nExample instance:", "### Data Fields\n\n* id: a 'string' field with a unique id for the instance\n* target: a 'string' representing the target of the stance\n* text: a 'string' of the stance-bearing text\n* stance: an 'int' representing class label -- '0': AGAINST; '1': FAVOR; '2': NONE.", "### Data Splits\n\nThe training split has 2986 instances", "## Dataset Creation", "### Curation Rationale\n\nThe goal was to create a dataset of microblog text annotated for stance. Six stance targets were selected and data was collected from Sina Weibo for annotation.", "### Source Data", "#### Initial Data Collection and Normalization\n\nNot specified", "#### Who are the source language producers?\n\nSina Weibo users", "### Annotations", "#### Annotation process\n\nThe stance of each target-microblog pair is duplicated annotated by two students\nindividually. If these two students provide the same annotation, the stance of this\nmicroblog-target pair is then labeled. If the different annotation is detected, the third\nstudent will be assigned to annotate this pair. Their annotation results will be voted to\nobtain the final label.", "#### Who are the annotators?\n\nStudents in China", "### Personal and Sensitive Information\n\nNo reflections", "## Considerations for Using the Data", "### Social Impact of Dataset\n\nThe data preserves social media utterances verbatim and so has obviated any right to be forgotten, though usernames and post IDs are not explicitly included in the data.", "### Discussion of Biases\n\nThere'll be at least a temporal and regional bias to this data, as well as it only representing expressions of stance on six topics.", "### Other Known Limitations", "## Additional Information", "### Dataset Curators\n\nThe dataset is curated by the paper's authors.", "### Licensing Information\n\nThe authors distribute this data under Creative Commons attribution license, CC-BY 4.0.", "### Contributions\n\nAdded by @mkonxd, @leondz" ]
b6c76a77359f133f9ee087b65c52a686fada7c15	# Dataset Card for GEM/FairytaleQA ## Dataset Description - Homepage: [Needs More Information] - Repository: https://github.com/uci-soe/FairytaleQAData - Paper: https://arxiv.org/abs/2203.13947 - Leaderboard: https://paperswithcode.com/sota/question-generation-on-fairytaleqa - Point of Contact: Ying Xu, Dakuo Wang ### Link to Main Data Card You can find the main data card on the [GEM Website](https://gem-benchmark.com/data_cards/FairytaleQA). ### Dataset Summary The FairytaleQA Dataset is an English-language dataset focusing on narrative comprehension of kindergarten to eighth-grade students. Generated by educational experts based on an evidence-based theoretical framework, FairytaleQA consists of 10,580 explicit and implicit questions derived from 278 children-friendly stories, covering seven types of narrative elements or relations. The Dataset was corrected to support both the tasks of Question Generation and Question Answering. You can load the dataset via: ``` import datasets data = datasets.load_dataset('GEM/FairytaleQA') ``` The data loader can be found [here](https://huggingface.co/datasets/GEM/FairytaleQA). #### paper [ArXiv](https://arxiv.org/abs/2203.13947) #### authors Ying Xu (University of California Irvine); Dakuo Wang (IBM Research); Mo Yu (IBM Research); Daniel Ritchie (University of California Irvine); Bingsheng Yao (Rensselaer Polytechnic Institute); Tongshuang Wu (University of Washington); Zheng Zhang (University of Notre Dame); Toby Jia-Jun Li (University of Notre Dame); Nora Bradford (University of California Irvine); Branda Sun (University of California Irvine); Tran Bao Hoang (University of California Irvine); Yisi Sang (Syracuse University); Yufang Hou (IBM Research Ireland); Xiaojuan Ma (Hong Kong Univ. of Sci and Tech); Diyi Yang (Georgia Institute of Technology); Nanyun Peng (University of California Los Angeles); Zhou Yu (Columbia University); Mark Warschauer (University of California Irvine) ## Dataset Overview ### Where to find the Data and its Documentation #### Download <!-- info: What is the link to where the original dataset is hosted? --> <!-- scope: telescope --> [Github](https://github.com/uci-soe/FairytaleQAData) #### Paper <!-- info: What is the link to the paper describing the dataset (open access preferred)? --> <!-- scope: telescope --> [ArXiv](https://arxiv.org/abs/2203.13947) #### BibTex <!-- info: Provide the BibTex-formatted reference for the dataset. Please use the correct published version (ACL anthology, etc.) instead of google scholar created Bibtex. --> <!-- scope: microscope --> @inproceedings{xu2022fairytaleqa, author={Xu, Ying and Wang, Dakuo and Yu, Mo and Ritchie, Daniel and Yao, Bingsheng and Wu, Tongshuang and Zhang, Zheng and Li, Toby Jia-Jun and Bradford, Nora and Sun, Branda and Hoang, Tran Bao and Sang, Yisi and Hou, Yufang and Ma, Xiaojuan and Yang, Diyi and Peng, Nanyun and Yu, Zhou and Warschauer, Mark}, title = {Fantastic Questions and Where to Find Them: Fairytale{QA} -- An Authentic Dataset for Narrative Comprehension}, publisher = {Association for Computational Linguistics}, year = {2022} } #### Contact Name <!-- quick --> <!-- info: If known, provide the name of at least one person the reader can contact for questions about the dataset. --> <!-- scope: periscope --> Ying Xu, Dakuo Wang #### Contact Email <!-- info: If known, provide the email of at least one person the reader can contact for questions about the dataset. --> <!-- scope: periscope --> [email protected], [email protected] #### Has a Leaderboard? <!-- info: Does the dataset have an active leaderboard? --> <!-- scope: telescope --> yes #### Leaderboard Link <!-- info: Provide a link to the leaderboard. --> <!-- scope: periscope --> [PapersWithCode](https://paperswithcode.com/sota/question-generation-on-fairytaleqa) #### Leaderboard Details <!-- info: Briefly describe how the leaderboard evaluates models. --> <!-- scope: microscope --> The task was to generate questions corresponding to the given answers and the story context. Success on the Question Generation task is typically measured by achieving a high ROUGE-L score to the reference ground-truth question. ### Languages and Intended Use #### Multilingual? <!-- quick --> <!-- info: Is the dataset multilingual? --> <!-- scope: telescope --> no #### Covered Dialects <!-- info: What dialects are covered? Are there multiple dialects per language? --> <!-- scope: periscope --> [N/A] #### Covered Languages <!-- quick --> <!-- info: What languages/dialects are covered in the dataset? --> <!-- scope: telescope --> `English` #### Whose Language? <!-- info: Whose language is in the dataset? --> <!-- scope: periscope --> [N/A] #### License <!-- quick --> <!-- info: What is the license of the dataset? --> <!-- scope: telescope --> unknown: License information unavailable #### Intended Use <!-- info: What is the intended use of the dataset? --> <!-- scope: microscope --> The purpose of this dataset is to help develop systems to facilitate assessment and training of narrative comprehension skills for children in education domain. The dataset distinguishes fine-grained reading skills, such as the understanding of varying narrative elements, and contains high-quality QA-pairs generated by education experts with sufficient training and education domain knowledge to create valid QA-pairs in a consistent way. This dataset is suitable for developing models to automatically generate questions and QA-Pairs that satisfy the need for a continuous supply of new questions, which can potentially enable large-scale development of AI-supported interactive platforms for the learning and assessment of reading comprehension skills. #### Primary Task <!-- info: What primary task does the dataset support? --> <!-- scope: telescope --> Question Generation #### Communicative Goal <!-- quick --> <!-- info: Provide a short description of the communicative goal of a model trained for this task on this dataset. --> <!-- scope: periscope --> The task was to generate questions corresponding to the given answers and the story context. Models trained for this task can potentially enable large-scale development of AI-supported interactive platforms for the learning and assessment of reading comprehension skills. ### Credit #### Curation Organization Type(s) <!-- info: In what kind of organization did the dataset curation happen? --> <!-- scope: telescope --> `academic` #### Curation Organization(s) <!-- info: Name the organization(s). --> <!-- scope: periscope --> University of California Irvine #### Dataset Creators <!-- info: Who created the original dataset? List the people involved in collecting the dataset and their affiliation(s). --> <!-- scope: microscope --> Ying Xu (University of California Irvine); Dakuo Wang (IBM Research); Mo Yu (IBM Research); Daniel Ritchie (University of California Irvine); Bingsheng Yao (Rensselaer Polytechnic Institute); Tongshuang Wu (University of Washington); Zheng Zhang (University of Notre Dame); Toby Jia-Jun Li (University of Notre Dame); Nora Bradford (University of California Irvine); Branda Sun (University of California Irvine); Tran Bao Hoang (University of California Irvine); Yisi Sang (Syracuse University); Yufang Hou (IBM Research Ireland); Xiaojuan Ma (Hong Kong Univ. of Sci and Tech); Diyi Yang (Georgia Institute of Technology); Nanyun Peng (University of California Los Angeles); Zhou Yu (Columbia University); Mark Warschauer (University of California Irvine) #### Funding <!-- info: Who funded the data creation? --> <!-- scope: microscope --> Schmidt Futures #### Who added the Dataset to GEM? <!-- info: Who contributed to the data card and adding the dataset to GEM? List the people+affiliations involved in creating this data card and who helped integrate this dataset into GEM. --> <!-- scope: microscope --> Dakuo Wang (IBM Research); Bingsheng Yao (Rensselaer Polytechnic Institute); Ying Xu (University of California Irvine) ### Dataset Structure #### Data Fields <!-- info: List and describe the fields present in the dataset. --> <!-- scope: telescope --> - `story_name`: a string of the story name to which the story section content belongs. Full story data can be found [here](https://github.com/uci-soe/FairytaleQAData). - `content`: a string of the story section(s) content related to the experts' labeled QA-pair. Used as the input for both Question Generation and Question Answering tasks. - `question`: a string of the question content. Used as the input for Question Answering task and as the output for Question Generation task. - `answer`: a string of the answer content for all splits. Used as the input for Question Generation task and as the output for Question Answering task. - `gem_id`: a string of id follows GEM naming convention ```GEM-${DATASET_NAME}-${SPLIT-NAME}-${id}``` where id is an incrementing number starting at 1 - `target`: a string of the question content being used for training - `references`: a list of string containing the question content being used for automatic eval - `local_or_sum`: a string of either local or summary, indicating whether the QA is related to one story section or multiple sections - `attribute`: a string of one of character, causal relationship, action, setting, feeling, prediction, or outcome resolution. Classification of the QA by education experts annotators via 7 narrative elements on an established framework - `ex_or_im`: a string of either explicit or implicit, indicating whether the answers can be directly found in the story content or cannot be directly from the story content. #### Reason for Structure <!-- info: How was the dataset structure determined? --> <!-- scope: microscope --> [N/A] #### How were labels chosen? <!-- info: How were the labels chosen? --> <!-- scope: microscope --> A typical data point comprises a question, the corresponding story content, and one answer. Education expert annotators labeled whether the answer is locally relevant to one story section or requires summarization capabilities from multiple story sections, and whether the answers are explicit (can be directly found in the stories) or implicit (cannot be directly found in the story text). Additionally, education expert annotators categorize the QA-pairs via 7 narrative elements from an establish framework. #### Example Instance <!-- info: Provide a JSON formatted example of a typical instance in the dataset. --> <!-- scope: periscope --> {'story_name': 'self-did-it', 'content': '" what is your name ? " asked the girl from underground . " self is my name , " said the woman . that seemed a curious name to the girl , and she once more began to pull the fire apart . then the woman grew angry and began to scold , and built it all up again . thus they went on for a good while ; but at last , while they were in the midst of their pulling apart and building up of the fire , the woman upset the tar - barrel on the girl from underground . then the latter screamed and ran away , crying : " father , father ! self burned me ! " " nonsense , if self did it , then self must suffer for it ! " came the answer from below the hill .', 'answer': 'the woman told the girl her name was self .', 'question': "why did the girl's father think the girl burned herself ?", 'gem_id': 'GEM-FairytaleQA-test-1006', 'target': "why did the girl's father think the girl burned herself ?", 'references': ["why did the girl's father think the girl burned herself ?"], 'local_or_sum': 'local', 'attribute': 'causal relationship', 'ex_or_im': 'implicit'} #### Data Splits <!-- info: Describe and name the splits in the dataset if there are more than one. --> <!-- scope: periscope --> The data is split into a train, validation, and test split randomly. The final split sizes are as follows: \| \| Train \| Validation \| Test \| \| ----- \| ----- \| ----- \| ----- \| \| # Books \| 232 \| 23 \| 23 \| \| # QA-Pairs \| 8548 \| 1025 \|1007 \| #### Splitting Criteria <!-- info: Describe any criteria for splitting the data, if used. If there are differences between the splits (e.g., if the training annotations are machine-generated and the dev and test ones are created by humans, or if different numbers of annotators contributed to each example), describe them here. --> <!-- scope: microscope --> The books are randomly split into train/validation/test splits. We control the ratio of QA-pair numbers in train:validation:test splits close to 8:1:1 #### <!-- info: What does an outlier of the dataset in terms of length/perplexity/embedding look like? --> <!-- scope: microscope --> [N/A] ## Dataset in GEM ### Rationale for Inclusion in GEM #### Why is the Dataset in GEM? <!-- info: What does this dataset contribute toward better generation evaluation and why is it part of GEM? --> <!-- scope: microscope --> The dataset distinguishes fine-grained reading skills, such as the understanding of varying narrative elements, and contains high-quality QA-pairs generated by education experts with sufficient training and education domain knowledge to create valid QA-pairs in a consistent way. #### Similar Datasets <!-- info: Do other datasets for the high level task exist? --> <!-- scope: telescope --> no #### Ability that the Dataset measures <!-- info: What aspect of model ability can be measured with this dataset? --> <!-- scope: periscope --> This dataset is suitable for developing models to automatically generate questions or QA-pairs that satisfy the need for a continuous supply of new questions, which can potentially enable large-scale development of AI-supported interactive platforms for the learning and assessment of reading comprehension skills. ### GEM-Specific Curation #### Modificatied for GEM? <!-- info: Has the GEM version of the dataset been modified in any way (data, processing, splits) from the original curated data? --> <!-- scope: telescope --> yes #### GEM Modifications <!-- info: What changes have been made to he original dataset? --> <!-- scope: periscope --> `data points removed` #### Modification Details <!-- info: For each of these changes, described them in more details and provided the intended purpose of the modification --> <!-- scope: microscope --> The original data contains two answers by different annotators in validation/test splits, we removed the 2nd answer for GEM version because it is not being used for the Question Generation task. #### Additional Splits? <!-- info: Does GEM provide additional splits to the dataset? --> <!-- scope: telescope --> no ### Getting Started with the Task #### Pointers to Resources <!-- info: Getting started with in-depth research on the task. Add relevant pointers to resources that researchers can consult when they want to get started digging deeper into the task. --> <!-- scope: microscope --> [N/A] ## Previous Results ### Previous Results #### Measured Model Abilities <!-- info: What aspect of model ability can be measured with this dataset? --> <!-- scope: telescope --> We are able to measure model's capabilities of generating various types of questions that corresponds to different narrative elements with the FairytaleQA dataset on the Question Generation Task #### Metrics <!-- info: What metrics are typically used for this task? --> <!-- scope: periscope --> `ROUGE` #### Proposed Evaluation <!-- info: List and describe the purpose of the metrics and evaluation methodology (including human evaluation) that the dataset creators used when introducing this task. --> <!-- scope: microscope --> The task was to generate questions corresponding to the given answers and the story context. Success on this task is typically measured by achieving a high [ROUGE](https://huggingface.co/metrics/rouge) score to the reference ground-truth questions. #### Previous results available? <!-- info: Are previous results available? --> <!-- scope: telescope --> yes #### Relevant Previous Results <!-- info: What are the most relevant previous results for this task/dataset? --> <!-- scope: microscope --> A [BART-based model](https://huggingface.co/facebook/bart-large) currently achieves a [ROUGE-L of 0.527/0.527](https://github.com/uci-soe/FairytaleQAData) on valid/test splits, which is reported as the baseline experiment for the dataset [paper](https://arxiv.org/pdf/2203.13947.pdf). ## Dataset Curation ### Original Curation #### Original Curation Rationale <!-- info: Original curation rationale --> <!-- scope: telescope --> FairytaleQA was built to focus on comprehension of narratives in the education domain, targeting students from kindergarten to eighth grade. We focus on narrative comprehension for 1. it is a high-level comprehension skill strongly predictive of reading achievement and plays a central role in daily life as people frequently encounter narratives in different forms, 2. narrative stories have a clear structure of specific elements and relations among these elements, and there are existing validated narrative comprehension frameworks around this structure, which provides a basis for developing the annotation schema for our dataset. #### Communicative Goal <!-- info: What was the communicative goal? --> <!-- scope: periscope --> The purpose of this dataset is to help develop systems to facilitate assessment and training of narrative comprehension skills for children in education domain. #### Sourced from Different Sources <!-- info: Is the dataset aggregated from different data sources? --> <!-- scope: telescope --> no ### Language Data #### How was Language Data Obtained? <!-- info: How was the language data obtained? --> <!-- scope: telescope --> `Found` #### Where was it found? <!-- info: If found, where from? --> <!-- scope: telescope --> `Single website` #### Language Producers <!-- info: What further information do we have on the language producers? --> <!-- scope: microscope --> The fairytale story texts are from the [Project Gutenberg](https://www.gutenberg.org/) website #### Topics Covered <!-- info: Does the language in the dataset focus on specific topics? How would you describe them? --> <!-- scope: periscope --> We gathered the text from the Project Gutenberg website, using “fairytale” as the search term. #### Data Validation <!-- info: Was the text validated by a different worker or a data curator? --> <!-- scope: telescope --> validated by data curator #### Data Preprocessing <!-- info: How was the text data pre-processed? (Enter N/A if the text was not pre-processed) --> <!-- scope: microscope --> Due to a large number of fairytales found, we used the most popular stories based on the number of downloads since these stories are presumably of higher quality. To ensure the readability of the text, we made a small number of minor revisions to some obviously outdated vocabulary (e.g., changing “ere” to “before”) and the unconventional use of punctuation (e.g., changing consecutive semi-colons to periods). These texts were broken down into small sections based on their semantic content by our annotators. The annotators were instructed to split the story into sections of 100-300 words that also contain meaningful content and are separated at natural story breaks. An initial annotator would split the story, and this would be reviewed by a cross-checking annotator. Most of the resulting sections were one natural paragraph of the original text. #### Was Data Filtered? <!-- info: Were text instances selected or filtered? --> <!-- scope: telescope --> manually #### Filter Criteria <!-- info: What were the selection criteria? --> <!-- scope: microscope --> For each story, we evaluated the reading difficulty level using the [textstat](https://pypi.org/project/textstat/) Python package, primarily based on sentence length, word length, and commonness of words. We excluded stories that are at 10th grade level or above. ### Structured Annotations #### Additional Annotations? <!-- quick --> <!-- info: Does the dataset have additional annotations for each instance? --> <!-- scope: telescope --> expert created #### Number of Raters <!-- info: What is the number of raters --> <!-- scope: telescope --> 2<n<10 #### Rater Qualifications <!-- info: Describe the qualifications required of an annotator. --> <!-- scope: periscope --> All of these annotators have a B.A. degree in education, psychology, or cognitive science and have substantial experience in teaching and reading assessment. These annotators were supervised by three experts in literacy education. #### Raters per Training Example <!-- info: How many annotators saw each training example? --> <!-- scope: periscope --> 2 #### Raters per Test Example <!-- info: How many annotators saw each test example? --> <!-- scope: periscope --> 3 #### Annotation Service? <!-- info: Was an annotation service used? --> <!-- scope: telescope --> no #### Annotation Values <!-- info: Purpose and values for each annotation --> <!-- scope: microscope --> The dataset annotation distinguishes fine-grained reading skills, such as the understanding of varying narrative elements, and contains high-quality QA-pairs generated by education experts with sufficient training and education domain knowledge to create valid QA-pairs in a consistent way. #### Any Quality Control? <!-- info: Quality control measures? --> <!-- scope: telescope --> validated by data curators #### Quality Control Details <!-- info: Describe the quality control measures that were taken. --> <!-- scope: microscope --> The annotators were instructed to imagine that they were creating questions to test elementary or middle school students in the process of reading a complete story. We required the annotators to generate only natural, open-ended questions, avoiding “yes-” or “no-” questions. We also instructed them to provide a diverse set of questions about 7 different narrative elements, and with both implicit and explicit questions. We asked the annotators to also generate answers for each of their questions. We asked them to provide the shortest possible answers but did not restrict them to complete sentences or short phrases. We also asked the annotators to label which section(s) the question and answer was from. All annotators received a two-week training in which each of them was familiarized with the coding template and conducted practice coding on the same five stories. The practice QA pairs were then reviewed by the other annotators and the three experts, and discrepancies among annotators were discussed. During the annotation process, the team met once every week to review and discuss each member’s work. All QA pairs were cross-checked by two annotators, and 10% of the QA pairs were additionally checked by the expert supervisor. For the 46 stories used as the evaluation set, we annotate a second reference answer by asking an annotator to independently read the story and answer the questions generated by others. ### Consent #### Any Consent Policy? <!-- info: Was there a consent policy involved when gathering the data? --> <!-- scope: telescope --> yes #### Consent Policy Details <!-- info: What was the consent policy? --> <!-- scope: microscope --> During the annotation process, the team met once every week to review and discuss each member’s work. All QA pairs were cross-checked by two annotators, and 10% of the QA pairs were additionally checked by the expert supervisor. #### Other Consented Downstream Use <!-- info: What other downstream uses of the data did the original data creators and the data curators consent to? --> <!-- scope: microscope --> Aside from Question Generation task, the data creators and curators used this data for Question Answering, and QA-Pair Generation tasks, and to identify social stereotypes represented in story narratives. ### Private Identifying Information (PII) #### Contains PII? <!-- quick --> <!-- info: Does the source language data likely contain Personal Identifying Information about the data creators or subjects? --> <!-- scope: telescope --> no PII #### Justification for no PII <!-- info: Provide a justification for selecting `no PII` above. --> <!-- scope: periscope --> The story content is from publically available knowledge website and the annotated QA-pairs are about general knowledge to the story content without references to the author or to any persons ### Maintenance #### Any Maintenance Plan? <!-- info: Does the original dataset have a maintenance plan? --> <!-- scope: telescope --> yes #### Maintenance Plan Details <!-- info: Describe the original dataset's maintenance plan. --> <!-- scope: microscope --> We plan to host various splits for the FairytaleQA dataset to better serve various types of research interests. We have the original data for 2 different split approaches including train/validation/test splits and split by fairytale origins. We are also plan to host the dataset on multiple platforms for various tasks. #### Maintainer Contact Information <!-- info: Provide contact information of a person responsible for the dataset maintenance --> <!-- scope: periscope --> Daniel Ritchie #### Any Contestation Mechanism? <!-- info: Does the maintenance plan include a contestation mechanism allowing individuals to request removal fo content? --> <!-- scope: periscope --> no mechanism ## Broader Social Context ### Previous Work on the Social Impact of the Dataset #### Usage of Models based on the Data <!-- info: Are you aware of cases where models trained on the task featured in this dataset ore related tasks have been used in automated systems? --> <!-- scope: telescope --> yes - models trained on this dataset #### Social Impact Observations <!-- info: Did any of these previous uses result in observations about the social impact of the systems? In particular, has there been work outlining the risks and limitations of the system? Provide links and descriptions here. --> <!-- scope: microscope --> [N/A] #### Changes as Consequence of Social Impact <!-- info: Have any changes been made to the dataset as a result of these observations? --> <!-- scope: periscope --> [N/A] ### Impact on Under-Served Communities #### Addresses needs of underserved Communities? <!-- info: Does this dataset address the needs of communities that are traditionally underserved in language technology, and particularly language generation technology? Communities may be underserved for exemple because their language, language variety, or social or geographical context is underepresented in NLP and NLG resources (datasets and models). --> <!-- scope: telescope --> yes #### Details on how Dataset Addresses the Needs <!-- info: Describe how this dataset addresses the needs of underserved communities. --> <!-- scope: microscope --> From the educational perspective, given that reading comprehension is a multicomponent skill, it is ideal for comprehension questions to be able to identify students’ performance in specific sub-skills, thus allowing teachers to provide tailored guidance. ### Discussion of Biases #### Any Documented Social Biases? <!-- info: Are there documented social biases in the dataset? Biases in this context are variations in the ways members of different social categories are represented that can have harmful downstream consequences for members of the more disadvantaged group. --> <!-- scope: telescope --> unsure #### Are the Language Producers Representative of the Language? <!-- info: Does the distribution of language producers in the dataset accurately represent the full distribution of speakers of the language world-wide? If not, how does it differ? --> <!-- scope: periscope --> [N/A] ## Considerations for Using the Data ### PII Risks and Liability #### Potential PII Risk <!-- info: Considering your answers to the PII part of the Data Curation Section, describe any potential privacy to the data subjects and creators risks when using the dataset. --> <!-- scope: microscope --> [N/A] ### Licenses #### Copyright Restrictions on the Dataset <!-- info: Based on your answers in the Intended Use part of the Data Overview Section, which of the following best describe the copyright and licensing status of the dataset? --> <!-- scope: periscope --> `research use only` #### Copyright Restrictions on the Language Data <!-- info: Based on your answers in the Language part of the Data Curation Section, which of the following best describe the copyright and licensing status of the underlying language data? --> <!-- scope: periscope --> `public domain` ### Known Technical Limitations #### Technical Limitations <!-- info: Describe any known technical limitations, such as spurrious correlations, train/test overlap, annotation biases, or mis-annotations, and cite the works that first identified these limitations when possible. --> <!-- scope: microscope --> We noticed that human results are obtained via cross-estimation between the two annotated answers, thus are underestimated. One possibility for future work is to conduct a large-scale human annotation to collect more answers per question and then leverage the massively annotated answers to better establish a human performance evaluation. #### Unsuited Applications <!-- info: When using a model trained on this dataset in a setting where users or the public may interact with its predictions, what are some pitfalls to look out for? In particular, describe some applications of the general task featured in this dataset that its curation or properties make it less suitable for. --> <!-- scope: microscope --> The QA-pairs annotated by education experts are targeting the audience of children from kindergarten to eighth grade, so the difficulty of QA-pairs are not suitable to compare with other existing dataset that are sourced from knowledge graphs or knowledge bases like Wikipedia. #### Discouraged Use Cases <!-- info: What are some discouraged use cases of a model trained to maximize the proposed metrics on this dataset? In particular, think about settings where decisions made by a model that performs reasonably well on the metric my still have strong negative consequences for user or members of the public. --> <!-- scope: microscope --> [N/A]	GEM/FairytaleQA	[ "task_categories:other", "annotations_creators:expert-created", "language_creators:unknown", "multilinguality:unknown", "size_categories:unknown", "source_datasets:original", "language:en", "license:unknown", "question-generation", "arxiv:2203.13947", "region:us" ]	2022-05-19T14:51:16+00:00	{"annotations_creators": ["expert-created"], "language_creators": ["unknown"], "language": ["en"], "license": ["unknown"], "multilinguality": ["unknown"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["other"], "task_ids": [], "pretty_name": "FairytaleQA", "tags": ["question-generation"]}	2022-10-25T11:58:30+00:00	[ "2203.13947" ]	[ "en" ]	TAGS #task_categories-other #annotations_creators-expert-created #language_creators-unknown #multilinguality-unknown #size_categories-unknown #source_datasets-original #language-English #license-unknown #question-generation #arxiv-2203.13947 #region-us	Dataset Card for GEM/FairytaleQA ================================ Dataset Description ------------------- * Homepage: * Repository: URL * Paper: URL * Leaderboard: URL * Point of Contact: Ying Xu, Dakuo Wang ### Link to Main Data Card You can find the main data card on the GEM Website. ### Dataset Summary The FairytaleQA Dataset is an English-language dataset focusing on narrative comprehension of kindergarten to eighth-grade students. Generated by educational experts based on an evidence-based theoretical framework, FairytaleQA consists of 10,580 explicit and implicit questions derived from 278 children-friendly stories, covering seven types of narrative elements or relations. The Dataset was corrected to support both the tasks of Question Generation and Question Answering. You can load the dataset via: The data loader can be found here. #### paper ArXiv #### authors Ying Xu (University of California Irvine); Dakuo Wang (IBM Research); Mo Yu (IBM Research); Daniel Ritchie (University of California Irvine); Bingsheng Yao (Rensselaer Polytechnic Institute); Tongshuang Wu (University of Washington); Zheng Zhang (University of Notre Dame); Toby Jia-Jun Li (University of Notre Dame); Nora Bradford (University of California Irvine); Branda Sun (University of California Irvine); Tran Bao Hoang (University of California Irvine); Yisi Sang (Syracuse University); Yufang Hou (IBM Research Ireland); Xiaojuan Ma (Hong Kong Univ. of Sci and Tech); Diyi Yang (Georgia Institute of Technology); Nanyun Peng (University of California Los Angeles); Zhou Yu (Columbia University); Mark Warschauer (University of California Irvine) Dataset Overview ---------------- ### Where to find the Data and its Documentation #### Download Github #### Paper ArXiv #### BibTex @inproceedings{xu2022fairytaleqa, author={Xu, Ying and Wang, Dakuo and Yu, Mo and Ritchie, Daniel and Yao, Bingsheng and Wu, Tongshuang and Zhang, Zheng and Li, Toby Jia-Jun and Bradford, Nora and Sun, Branda and Hoang, Tran Bao and Sang, Yisi and Hou, Yufang and Ma, Xiaojuan and Yang, Diyi and Peng, Nanyun and Yu, Zhou and Warschauer, Mark}, title = {Fantastic Questions and Where to Find Them: Fairytale{QA} -- An Authentic Dataset for Narrative Comprehension}, publisher = {Association for Computational Linguistics}, year = {2022} } #### Contact Name Ying Xu, Dakuo Wang #### Contact Email URL@URL, URL@URL #### Has a Leaderboard? yes #### Leaderboard Link PapersWithCode #### Leaderboard Details The task was to generate questions corresponding to the given answers and the story context. Success on the Question Generation task is typically measured by achieving a high ROUGE-L score to the reference ground-truth question. ### Languages and Intended Use #### Multilingual? no #### Covered Dialects [N/A] #### Covered Languages 'English' #### Whose Language? [N/A] #### License unknown: License information unavailable #### Intended Use The purpose of this dataset is to help develop systems to facilitate assessment and training of narrative comprehension skills for children in education domain. The dataset distinguishes fine-grained reading skills, such as the understanding of varying narrative elements, and contains high-quality QA-pairs generated by education experts with sufficient training and education domain knowledge to create valid QA-pairs in a consistent way. This dataset is suitable for developing models to automatically generate questions and QA-Pairs that satisfy the need for a continuous supply of new questions, which can potentially enable large-scale development of AI-supported interactive platforms for the learning and assessment of reading comprehension skills. #### Primary Task Question Generation #### Communicative Goal The task was to generate questions corresponding to the given answers and the story context. Models trained for this task can potentially enable large-scale development of AI-supported interactive platforms for the learning and assessment of reading comprehension skills. ### Credit #### Curation Organization Type(s) 'academic' #### Curation Organization(s) University of California Irvine #### Dataset Creators Ying Xu (University of California Irvine); Dakuo Wang (IBM Research); Mo Yu (IBM Research); Daniel Ritchie (University of California Irvine); Bingsheng Yao (Rensselaer Polytechnic Institute); Tongshuang Wu (University of Washington); Zheng Zhang (University of Notre Dame); Toby Jia-Jun Li (University of Notre Dame); Nora Bradford (University of California Irvine); Branda Sun (University of California Irvine); Tran Bao Hoang (University of California Irvine); Yisi Sang (Syracuse University); Yufang Hou (IBM Research Ireland); Xiaojuan Ma (Hong Kong Univ. of Sci and Tech); Diyi Yang (Georgia Institute of Technology); Nanyun Peng (University of California Los Angeles); Zhou Yu (Columbia University); Mark Warschauer (University of California Irvine) #### Funding Schmidt Futures #### Who added the Dataset to GEM? Dakuo Wang (IBM Research); Bingsheng Yao (Rensselaer Polytechnic Institute); Ying Xu (University of California Irvine) ### Dataset Structure #### Data Fields * 'story\_name': a string of the story name to which the story section content belongs. Full story data can be found here. * 'content': a string of the story section(s) content related to the experts' labeled QA-pair. Used as the input for both Question Generation and Question Answering tasks. * 'question': a string of the question content. Used as the input for Question Answering task and as the output for Question Generation task. * 'answer': a string of the answer content for all splits. Used as the input for Question Generation task and as the output for Question Answering task. * 'gem\_id': a string of id follows GEM naming convention where id is an incrementing number starting at 1 * 'target': a string of the question content being used for training * 'references': a list of string containing the question content being used for automatic eval * 'local\_or\_sum': a string of either local or summary, indicating whether the QA is related to one story section or multiple sections * 'attribute': a string of one of character, causal relationship, action, setting, feeling, prediction, or outcome resolution. Classification of the QA by education experts annotators via 7 narrative elements on an established framework * 'ex\_or\_im': a string of either explicit or implicit, indicating whether the answers can be directly found in the story content or cannot be directly from the story content. #### Reason for Structure [N/A] #### How were labels chosen? A typical data point comprises a question, the corresponding story content, and one answer. Education expert annotators labeled whether the answer is locally relevant to one story section or requires summarization capabilities from multiple story sections, and whether the answers are explicit (can be directly found in the stories) or implicit (cannot be directly found in the story text). Additionally, education expert annotators categorize the QA-pairs via 7 narrative elements from an establish framework. #### Example Instance {'story\_name': 'self-did-it', 'content': '" what is your name ? " asked the girl from underground . " self is my name , " said the woman . that seemed a curious name to the girl , and she once more began to pull the fire apart . then the woman grew angry and began to scold , and built it all up again . thus they went on for a good while ; but at last , while they were in the midst of their pulling apart and building up of the fire , the woman upset the tar - barrel on the girl from underground . then the latter screamed and ran away , crying : " father , father ! self burned me ! " " nonsense , if self did it , then self must suffer for it ! " came the answer from below the hill .', 'answer': 'the woman told the girl her name was self .', 'question': "why did the girl's father think the girl burned herself ?", 'gem\_id': 'GEM-FairytaleQA-test-1006', 'target': "why did the girl's father think the girl burned herself ?", 'references': ["why did the girl's father think the girl burned herself ?"], 'local\_or\_sum': 'local', 'attribute': 'causal relationship', 'ex\_or\_im': 'implicit'} #### Data Splits The data is split into a train, validation, and test split randomly. The final split sizes are as follows: #### Splitting Criteria The books are randomly split into train/validation/test splits. We control the ratio of QA-pair numbers in train:validation:test splits close to 8:1:1 #### [N/A] Dataset in GEM -------------- ### Rationale for Inclusion in GEM #### Why is the Dataset in GEM? The dataset distinguishes fine-grained reading skills, such as the understanding of varying narrative elements, and contains high-quality QA-pairs generated by education experts with sufficient training and education domain knowledge to create valid QA-pairs in a consistent way. #### Similar Datasets no #### Ability that the Dataset measures This dataset is suitable for developing models to automatically generate questions or QA-pairs that satisfy the need for a continuous supply of new questions, which can potentially enable large-scale development of AI-supported interactive platforms for the learning and assessment of reading comprehension skills. ### GEM-Specific Curation #### Modificatied for GEM? yes #### GEM Modifications 'data points removed' #### Modification Details The original data contains two answers by different annotators in validation/test splits, we removed the 2nd answer for GEM version because it is not being used for the Question Generation task. #### Additional Splits? no ### Getting Started with the Task #### Pointers to Resources [N/A] Previous Results ---------------- ### Previous Results #### Measured Model Abilities We are able to measure model's capabilities of generating various types of questions that corresponds to different narrative elements with the FairytaleQA dataset on the Question Generation Task #### Metrics 'ROUGE' #### Proposed Evaluation The task was to generate questions corresponding to the given answers and the story context. Success on this task is typically measured by achieving a high ROUGE score to the reference ground-truth questions. #### Previous results available? yes #### Relevant Previous Results A BART-based model currently achieves a ROUGE-L of 0.527/0.527 on valid/test splits, which is reported as the baseline experiment for the dataset paper. Dataset Curation ---------------- ### Original Curation #### Original Curation Rationale FairytaleQA was built to focus on comprehension of narratives in the education domain, targeting students from kindergarten to eighth grade. We focus on narrative comprehension for 1. it is a high-level comprehension skill strongly predictive of reading achievement and plays a central role in daily life as people frequently encounter narratives in different forms, 2. narrative stories have a clear structure of specific elements and relations among these elements, and there are existing validated narrative comprehension frameworks around this structure, which provides a basis for developing the annotation schema for our dataset. #### Communicative Goal The purpose of this dataset is to help develop systems to facilitate assessment and training of narrative comprehension skills for children in education domain. #### Sourced from Different Sources no ### Language Data #### How was Language Data Obtained? 'Found' #### Where was it found? 'Single website' #### Language Producers The fairytale story texts are from the Project Gutenberg website #### Topics Covered We gathered the text from the Project Gutenberg website, using “fairytale” as the search term. #### Data Validation validated by data curator #### Data Preprocessing Due to a large number of fairytales found, we used the most popular stories based on the number of downloads since these stories are presumably of higher quality. To ensure the readability of the text, we made a small number of minor revisions to some obviously outdated vocabulary (e.g., changing “ere” to “before”) and the unconventional use of punctuation (e.g., changing consecutive semi-colons to periods). These texts were broken down into small sections based on their semantic content by our annotators. The annotators were instructed to split the story into sections of 100-300 words that also contain meaningful content and are separated at natural story breaks. An initial annotator would split the story, and this would be reviewed by a cross-checking annotator. Most of the resulting sections were one natural paragraph of the original text. #### Was Data Filtered? manually #### Filter Criteria For each story, we evaluated the reading difficulty level using the textstat Python package, primarily based on sentence length, word length, and commonness of words. We excluded stories that are at 10th grade level or above. ### Structured Annotations #### Additional Annotations? expert created #### Number of Raters 2<n<10 #### Rater Qualifications All of these annotators have a B.A. degree in education, psychology, or cognitive science and have substantial experience in teaching and reading assessment. These annotators were supervised by three experts in literacy education. #### Raters per Training Example 2 #### Raters per Test Example 3 #### Annotation Service? no #### Annotation Values The dataset annotation distinguishes fine-grained reading skills, such as the understanding of varying narrative elements, and contains high-quality QA-pairs generated by education experts with sufficient training and education domain knowledge to create valid QA-pairs in a consistent way. #### Any Quality Control? validated by data curators #### Quality Control Details The annotators were instructed to imagine that they were creating questions to test elementary or middle school students in the process of reading a complete story. We required the annotators to generate only natural, open-ended questions, avoiding “yes-” or “no-” questions. We also instructed them to provide a diverse set of questions about 7 different narrative elements, and with both implicit and explicit questions. We asked the annotators to also generate answers for each of their questions. We asked them to provide the shortest possible answers but did not restrict them to complete sentences or short phrases. We also asked the annotators to label which section(s) the question and answer was from. All annotators received a two-week training in which each of them was familiarized with the coding template and conducted practice coding on the same five stories. The practice QA pairs were then reviewed by the other annotators and the three experts, and discrepancies among annotators were discussed. During the annotation process, the team met once every week to review and discuss each member’s work. All QA pairs were cross-checked by two annotators, and 10% of the QA pairs were additionally checked by the expert supervisor. For the 46 stories used as the evaluation set, we annotate a second reference answer by asking an annotator to independently read the story and answer the questions generated by others. ### Consent #### Any Consent Policy? yes #### Consent Policy Details During the annotation process, the team met once every week to review and discuss each member’s work. All QA pairs were cross-checked by two annotators, and 10% of the QA pairs were additionally checked by the expert supervisor. #### Other Consented Downstream Use Aside from Question Generation task, the data creators and curators used this data for Question Answering, and QA-Pair Generation tasks, and to identify social stereotypes represented in story narratives. ### Private Identifying Information (PII) #### Contains PII? no PII #### Justification for no PII The story content is from publically available knowledge website and the annotated QA-pairs are about general knowledge to the story content without references to the author or to any persons ### Maintenance #### Any Maintenance Plan? yes #### Maintenance Plan Details We plan to host various splits for the FairytaleQA dataset to better serve various types of research interests. We have the original data for 2 different split approaches including train/validation/test splits and split by fairytale origins. We are also plan to host the dataset on multiple platforms for various tasks. #### Maintainer Contact Information Daniel Ritchie #### Any Contestation Mechanism? no mechanism Broader Social Context ---------------------- ### Previous Work on the Social Impact of the Dataset #### Usage of Models based on the Data yes - models trained on this dataset #### Social Impact Observations [N/A] #### Changes as Consequence of Social Impact [N/A] ### Impact on Under-Served Communities #### Addresses needs of underserved Communities? yes #### Details on how Dataset Addresses the Needs From the educational perspective, given that reading comprehension is a multicomponent skill, it is ideal for comprehension questions to be able to identify students’ performance in specific sub-skills, thus allowing teachers to provide tailored guidance. ### Discussion of Biases #### Any Documented Social Biases? unsure #### Are the Language Producers Representative of the Language? [N/A] Considerations for Using the Data --------------------------------- ### PII Risks and Liability #### Potential PII Risk [N/A] ### Licenses #### Copyright Restrictions on the Dataset 'research use only' #### Copyright Restrictions on the Language Data 'public domain' ### Known Technical Limitations #### Technical Limitations We noticed that human results are obtained via cross-estimation between the two annotated answers, thus are underestimated. One possibility for future work is to conduct a large-scale human annotation to collect more answers per question and then leverage the massively annotated answers to better establish a human performance evaluation. #### Unsuited Applications The QA-pairs annotated by education experts are targeting the audience of children from kindergarten to eighth grade, so the difficulty of QA-pairs are not suitable to compare with other existing dataset that are sourced from knowledge graphs or knowledge bases like Wikipedia. #### Discouraged Use Cases [N/A]	[ "### Link to Main Data Card\n\n\nYou can find the main data card on the GEM Website.", "### Dataset Summary\n\n\nThe FairytaleQA Dataset is an English-language dataset focusing on narrative comprehension of kindergarten to eighth-grade students. Generated by educational experts based on an evidence-based theoretical framework, FairytaleQA consists of 10,580 explicit and implicit questions derived from 278 children-friendly stories, covering seven types of narrative elements or relations. The Dataset was corrected to support both the tasks of Question Generation and Question Answering.\n\n\nYou can load the dataset via:\n\n\nThe data loader can be found here.", "#### paper\n\n\nArXiv", "#### authors\n\n\nYing Xu (University of California Irvine); Dakuo Wang (IBM Research); Mo Yu (IBM Research); Daniel Ritchie (University of California Irvine); Bingsheng Yao (Rensselaer Polytechnic Institute); Tongshuang Wu (University of Washington); Zheng Zhang (University of Notre Dame); Toby Jia-Jun Li (University of Notre Dame); Nora Bradford (University of California Irvine); Branda Sun (University of California Irvine); Tran Bao Hoang (University of California Irvine); Yisi Sang (Syracuse University); Yufang Hou (IBM Research Ireland); Xiaojuan Ma (Hong Kong Univ. of Sci and Tech); Diyi Yang (Georgia Institute of Technology); Nanyun Peng (University of California Los Angeles); Zhou Yu (Columbia University); Mark Warschauer (University of California Irvine)\n\n\nDataset Overview\n----------------", "### Where to find the Data and its Documentation", "#### Download\n\n\nGithub", "#### Paper\n\n\nArXiv", "#### BibTex\n\n\n@inproceedings{xu2022fairytaleqa,\nauthor={Xu, Ying and Wang, Dakuo and Yu, Mo and Ritchie, Daniel and Yao, Bingsheng and Wu, Tongshuang and Zhang, Zheng and Li, Toby Jia-Jun and Bradford, Nora and Sun, Branda and Hoang, Tran Bao and Sang, Yisi and Hou, Yufang and Ma, Xiaojuan and Yang, Diyi and Peng, Nanyun and Yu, Zhou and Warschauer, Mark},\ntitle = {Fantastic Questions and Where to Find Them: Fairytale{QA} -- An Authentic Dataset for Narrative Comprehension},\npublisher = {Association for Computational Linguistics},\nyear = {2022}\n}", "#### Contact Name\n\n\nYing Xu, Dakuo Wang", "#### Contact Email\n\n\nURL@URL, URL@URL", "#### Has a Leaderboard?\n\n\nyes", "#### Leaderboard Link\n\n\nPapersWithCode", "#### Leaderboard Details\n\n\nThe task was to generate questions corresponding to the given answers and the story context. Success on the Question Generation task is typically measured by achieving a high ROUGE-L score to the reference ground-truth question.", "### Languages and Intended Use", "#### Multilingual?\n\n\nno", "#### Covered Dialects\n\n\n[N/A]", "#### Covered Languages\n\n\n'English'", "#### Whose Language?\n\n\n[N/A]", "#### License\n\n\nunknown: License information unavailable", "#### Intended Use\n\n\nThe purpose of this dataset is to help develop systems to facilitate assessment and training of narrative comprehension skills for children in education domain. The dataset distinguishes fine-grained reading skills, such as the understanding of varying narrative elements, and contains high-quality QA-pairs generated by education experts with sufficient training and education domain knowledge to create valid QA-pairs in a consistent way.\n\n\nThis dataset is suitable for developing models to automatically generate questions and QA-Pairs that satisfy the need for a continuous supply of new questions, which can potentially enable large-scale development of AI-supported interactive platforms for the learning and assessment of reading comprehension skills.", "#### Primary Task\n\n\nQuestion Generation", "#### Communicative Goal\n\n\nThe task was to generate questions corresponding to the given answers and the story context. Models trained for this task can potentially enable large-scale development of AI-supported interactive platforms for the learning and assessment of reading comprehension skills.", "### Credit", "#### Curation Organization Type(s)\n\n\n'academic'", "#### Curation Organization(s)\n\n\nUniversity of California Irvine", "#### Dataset Creators\n\n\nYing Xu (University of California Irvine); Dakuo Wang (IBM Research); Mo Yu (IBM Research); Daniel Ritchie (University of California Irvine); Bingsheng Yao (Rensselaer Polytechnic Institute); Tongshuang Wu (University of Washington); Zheng Zhang (University of Notre Dame); Toby Jia-Jun Li (University of Notre Dame); Nora Bradford (University of California Irvine); Branda Sun (University of California Irvine); Tran Bao Hoang (University of California Irvine); Yisi Sang (Syracuse University); Yufang Hou (IBM Research Ireland); Xiaojuan Ma (Hong Kong Univ. of Sci and Tech); Diyi Yang (Georgia Institute of Technology); Nanyun Peng (University of California Los Angeles); Zhou Yu (Columbia University); Mark Warschauer (University of California Irvine)", "#### Funding\n\n\nSchmidt Futures", "#### Who added the Dataset to GEM?\n\n\nDakuo Wang (IBM Research); Bingsheng Yao (Rensselaer Polytechnic Institute); Ying Xu (University of California Irvine)", "### Dataset Structure", "#### Data Fields\n\n\n* 'story\\_name': a string of the story name to which the story section content belongs. Full story data can be found here.\n* 'content': a string of the story section(s) content related to the experts' labeled QA-pair. Used as the input for both Question Generation and Question Answering tasks.\n* 'question': a string of the question content. Used as the input for Question Answering task and as the output for Question Generation task.\n* 'answer': a string of the answer content for all splits. Used as the input for Question Generation task and as the output for Question Answering task.\n* 'gem\\_id': a string of id follows GEM naming convention where id is an incrementing number starting at 1\n* 'target': a string of the question content being used for training\n* 'references': a list of string containing the question content being used for automatic eval\n* 'local\\_or\\_sum': a string of either local or summary, indicating whether the QA is related to one story section or multiple sections\n* 'attribute': a string of one of character, causal relationship, action, setting, feeling, prediction, or outcome resolution. Classification of the QA by education experts annotators via 7 narrative elements on an established framework\n* 'ex\\_or\\_im': a string of either explicit or implicit, indicating whether the answers can be directly found in the story content or cannot be directly from the story content.", "#### Reason for Structure\n\n\n[N/A]", "#### How were labels chosen?\n\n\nA typical data point comprises a question, the corresponding story content, and one answer. Education expert annotators labeled whether the answer is locally relevant to one story section or requires summarization capabilities from multiple story sections, and whether the answers are explicit (can be directly found in the stories) or implicit (cannot be directly found in the story text). Additionally, education expert annotators categorize the QA-pairs via 7 narrative elements from an establish framework.", "#### Example Instance\n\n\n{'story\\_name': 'self-did-it',\n'content': '\" what is your name ? \" asked the girl from underground . \" self is my name , \" said the woman . that seemed a curious name to the girl , and she once more began to pull the fire apart . then the woman grew angry and began to scold , and built it all up again . thus they went on for a good while ; but at last , while they were in the midst of their pulling apart and building up of the fire , the woman upset the tar - barrel on the girl from underground . then the latter screamed and ran away , crying : \" father , father ! self burned me ! \" \" nonsense , if self did it , then self must suffer for it ! \" came the answer from below the hill .',\n'answer': 'the woman told the girl her name was self .',\n'question': \"why did the girl's father think the girl burned herself ?\",\n'gem\\_id': 'GEM-FairytaleQA-test-1006',\n'target': \"why did the girl's father think the girl burned herself ?\",\n'references': [\"why did the girl's father think the girl burned herself ?\"],\n'local\\_or\\_sum': 'local',\n'attribute': 'causal relationship',\n'ex\\_or\\_im': 'implicit'}", "#### Data Splits\n\n\nThe data is split into a train, validation, and test split randomly. The final split sizes are as follows:", "#### Splitting Criteria\n\n\nThe books are randomly split into train/validation/test splits. We control the ratio of QA-pair numbers in train:validation:test splits close to 8:1:1", "#### \n\n\n[N/A]\n\n\nDataset in GEM\n--------------", "### Rationale for Inclusion in GEM", "#### Why is the Dataset in GEM?\n\n\nThe dataset distinguishes fine-grained reading skills, such as the understanding of varying narrative elements, and contains high-quality QA-pairs generated by education experts with sufficient training and education domain knowledge to create valid QA-pairs in a consistent way.", "#### Similar Datasets\n\n\nno", "#### Ability that the Dataset measures\n\n\nThis dataset is suitable for developing models to automatically generate questions or QA-pairs that satisfy the need for a continuous supply of new questions, which can potentially enable large-scale development of AI-supported interactive platforms for the learning and assessment of reading comprehension skills.", "### GEM-Specific Curation", "#### Modificatied for GEM?\n\n\nyes", "#### GEM Modifications\n\n\n'data points removed'", "#### Modification Details\n\n\nThe original data contains two answers by different annotators in validation/test splits, we removed the 2nd answer for GEM version because it is not being used for the Question Generation task.", "#### Additional Splits?\n\n\nno", "### Getting Started with the Task", "#### Pointers to Resources\n\n\n[N/A]\n\n\nPrevious Results\n----------------", "### Previous Results", "#### Measured Model Abilities\n\n\nWe are able to measure model's capabilities of generating various types of questions that corresponds to different narrative elements with the FairytaleQA dataset on the Question Generation Task", "#### Metrics\n\n\n'ROUGE'", "#### Proposed Evaluation\n\n\nThe task was to generate questions corresponding to the given answers and the story context. Success on this task is typically measured by achieving a high ROUGE score to the reference ground-truth questions.", "#### Previous results available?\n\n\nyes", "#### Relevant Previous Results\n\n\nA BART-based model currently achieves a ROUGE-L of 0.527/0.527 on valid/test splits, which is reported as the baseline experiment for the dataset paper.\n\n\nDataset Curation\n----------------", "### Original Curation", "#### Original Curation Rationale\n\n\nFairytaleQA was built to focus on comprehension of narratives in the education domain, targeting students from kindergarten to eighth grade. We focus on narrative comprehension for 1. it is a high-level comprehension skill strongly predictive of reading achievement and plays a central role in daily life as people frequently encounter narratives in different forms, 2. narrative stories have a clear structure of specific elements and relations among these elements, and there are existing validated narrative comprehension frameworks around this structure, which provides a basis for developing the annotation schema for our dataset.", "#### Communicative Goal\n\n\nThe purpose of this dataset is to help develop systems to facilitate assessment and training of narrative comprehension skills for children in education domain.", "#### Sourced from Different Sources\n\n\nno", "### Language Data", "#### How was Language Data Obtained?\n\n\n'Found'", "#### Where was it found?\n\n\n'Single website'", "#### Language Producers\n\n\nThe fairytale story texts are from the Project Gutenberg website", "#### Topics Covered\n\n\nWe gathered the text from the Project Gutenberg website, using “fairytale” as the search term.", "#### Data Validation\n\n\nvalidated by data curator", "#### Data Preprocessing\n\n\nDue to a large number of fairytales found, we used the most popular stories based on the number of downloads since these stories are presumably of higher quality. To ensure the readability of the text, we made a small number of minor revisions to some obviously outdated vocabulary (e.g., changing “ere” to “before”) and the unconventional use of punctuation (e.g., changing consecutive semi-colons to periods).\n\n\nThese texts were broken down into small sections based on their semantic content by our annotators. The annotators were instructed to split the story into sections of 100-300 words that also contain meaningful content and are separated at natural story breaks. An initial annotator would split the story, and this would be reviewed by a cross-checking annotator. Most of the resulting sections were one natural paragraph of the original text.", "#### Was Data Filtered?\n\n\nmanually", "#### Filter Criteria\n\n\nFor each story, we evaluated the reading difficulty level using the textstat Python package, primarily based on sentence length, word length, and commonness of words. We excluded stories that are at 10th grade level or above.", "### Structured Annotations", "#### Additional Annotations?\n\n\nexpert created", "#### Number of Raters\n\n\n2<n<10", "#### Rater Qualifications\n\n\nAll of these annotators have a B.A. degree in education, psychology, or cognitive science and have substantial experience in teaching and reading assessment. These annotators were supervised by three experts in literacy education.", "#### Raters per Training Example\n\n\n2", "#### Raters per Test Example\n\n\n3", "#### Annotation Service?\n\n\nno", "#### Annotation Values\n\n\nThe dataset annotation distinguishes fine-grained reading skills, such as the understanding of varying narrative elements, and contains high-quality QA-pairs generated by education experts with sufficient training and education domain knowledge to create valid QA-pairs in a consistent way.", "#### Any Quality Control?\n\n\nvalidated by data curators", "#### Quality Control Details\n\n\nThe annotators were instructed to imagine that they were creating questions to test elementary or middle school students in the process of reading a complete story. We required the annotators to generate only natural, open-ended questions, avoiding “yes-” or “no-” questions. We also instructed them to provide a diverse set of questions about 7 different narrative elements, and with both implicit and explicit questions.\n\n\nWe asked the annotators to also generate answers for each of their questions. We asked them to provide the shortest possible answers but did not restrict them to complete sentences or short phrases. We also asked the annotators to label which section(s) the question and answer was from.\n\n\nAll annotators received a two-week training in which each of them was familiarized with the coding template and conducted practice coding on the same five stories. The practice QA pairs were then reviewed by the other annotators and the three experts, and discrepancies among annotators were discussed. During the annotation process, the team met once every week to review and discuss each member’s work. All QA pairs were cross-checked by two annotators, and 10% of the QA pairs were additionally checked by the expert supervisor.\n\n\nFor the 46 stories used as the evaluation set, we annotate a second reference answer by asking an annotator to independently read the story and answer the questions generated by others.", "### Consent", "#### Any Consent Policy?\n\n\nyes", "#### Consent Policy Details\n\n\nDuring the annotation process, the team met once every week to review and discuss each member’s work. All QA pairs were cross-checked by two annotators, and 10% of the QA pairs were additionally checked by the expert supervisor.", "#### Other Consented Downstream Use\n\n\nAside from Question Generation task, the data creators and curators used this data for Question Answering, and QA-Pair Generation tasks, and to identify social stereotypes represented in story narratives.", "### Private Identifying Information (PII)", "#### Contains PII?\n\n\nno PII", "#### Justification for no PII\n\n\nThe story content is from publically available knowledge website and the annotated QA-pairs are about general knowledge to the story content without references to the author or to any persons", "### Maintenance", "#### Any Maintenance Plan?\n\n\nyes", "#### Maintenance Plan Details\n\n\nWe plan to host various splits for the FairytaleQA dataset to better serve various types of research interests. We have the original data for 2 different split approaches including train/validation/test splits and split by fairytale origins. We are also plan to host the dataset on multiple platforms for various tasks.", "#### Maintainer Contact Information\n\n\nDaniel Ritchie", "#### Any Contestation Mechanism?\n\n\nno mechanism\n\n\nBroader Social Context\n----------------------", "### Previous Work on the Social Impact of the Dataset", "#### Usage of Models based on the Data\n\n\nyes - models trained on this dataset", "#### Social Impact Observations\n\n\n[N/A]", "#### Changes as Consequence of Social Impact\n\n\n[N/A]", "### Impact on Under-Served Communities", "#### Addresses needs of underserved Communities?\n\n\nyes", "#### Details on how Dataset Addresses the Needs\n\n\nFrom the educational perspective, given that reading comprehension is a multicomponent skill, it is ideal for comprehension questions to be able to identify students’ performance in specific sub-skills, thus allowing teachers to provide tailored guidance.", "### Discussion of Biases", "#### Any Documented Social Biases?\n\n\nunsure", "#### Are the Language Producers Representative of the Language?\n\n\n[N/A]\n\n\nConsiderations for Using the Data\n---------------------------------", "### PII Risks and Liability", "#### Potential PII Risk\n\n\n[N/A]", "### Licenses", "#### Copyright Restrictions on the Dataset\n\n\n'research use only'", "#### Copyright Restrictions on the Language Data\n\n\n'public domain'", "### Known Technical Limitations", "#### Technical Limitations\n\n\nWe noticed that human results are obtained via cross-estimation between the two annotated answers, thus are underestimated. One possibility for future work is to conduct a large-scale human annotation to collect more answers per question and then leverage the massively annotated answers to better establish a human performance evaluation.", "#### Unsuited Applications\n\n\nThe QA-pairs annotated by education experts are targeting the audience of children from kindergarten to eighth grade, so the difficulty of QA-pairs are not suitable to compare with other existing dataset that are sourced from knowledge graphs or knowledge bases like Wikipedia.", "#### Discouraged Use Cases\n\n\n[N/A]" ]	[ "TAGS\n#task_categories-other #annotations_creators-expert-created #language_creators-unknown #multilinguality-unknown #size_categories-unknown #source_datasets-original #language-English #license-unknown #question-generation #arxiv-2203.13947 #region-us \n", "### Link to Main Data Card\n\n\nYou can find the main data card on the GEM Website.", "### Dataset Summary\n\n\nThe FairytaleQA Dataset is an English-language dataset focusing on narrative comprehension of kindergarten to eighth-grade students. Generated by educational experts based on an evidence-based theoretical framework, FairytaleQA consists of 10,580 explicit and implicit questions derived from 278 children-friendly stories, covering seven types of narrative elements or relations. The Dataset was corrected to support both the tasks of Question Generation and Question Answering.\n\n\nYou can load the dataset via:\n\n\nThe data loader can be found here.", "#### paper\n\n\nArXiv", "#### authors\n\n\nYing Xu (University of California Irvine); Dakuo Wang (IBM Research); Mo Yu (IBM Research); Daniel Ritchie (University of California Irvine); Bingsheng Yao (Rensselaer Polytechnic Institute); Tongshuang Wu (University of Washington); Zheng Zhang (University of Notre Dame); Toby Jia-Jun Li (University of Notre Dame); Nora Bradford (University of California Irvine); Branda Sun (University of California Irvine); Tran Bao Hoang (University of California Irvine); Yisi Sang (Syracuse University); Yufang Hou (IBM Research Ireland); Xiaojuan Ma (Hong Kong Univ. of Sci and Tech); Diyi Yang (Georgia Institute of Technology); Nanyun Peng (University of California Los Angeles); Zhou Yu (Columbia University); Mark Warschauer (University of California Irvine)\n\n\nDataset Overview\n----------------", "### Where to find the Data and its Documentation", "#### Download\n\n\nGithub", "#### Paper\n\n\nArXiv", "#### BibTex\n\n\n@inproceedings{xu2022fairytaleqa,\nauthor={Xu, Ying and Wang, Dakuo and Yu, Mo and Ritchie, Daniel and Yao, Bingsheng and Wu, Tongshuang and Zhang, Zheng and Li, Toby Jia-Jun and Bradford, Nora and Sun, Branda and Hoang, Tran Bao and Sang, Yisi and Hou, Yufang and Ma, Xiaojuan and Yang, Diyi and Peng, Nanyun and Yu, Zhou and Warschauer, Mark},\ntitle = {Fantastic Questions and Where to Find Them: Fairytale{QA} -- An Authentic Dataset for Narrative Comprehension},\npublisher = {Association for Computational Linguistics},\nyear = {2022}\n}", "#### Contact Name\n\n\nYing Xu, Dakuo Wang", "#### Contact Email\n\n\nURL@URL, URL@URL", "#### Has a Leaderboard?\n\n\nyes", "#### Leaderboard Link\n\n\nPapersWithCode", "#### Leaderboard Details\n\n\nThe task was to generate questions corresponding to the given answers and the story context. Success on the Question Generation task is typically measured by achieving a high ROUGE-L score to the reference ground-truth question.", "### Languages and Intended Use", "#### Multilingual?\n\n\nno", "#### Covered Dialects\n\n\n[N/A]", "#### Covered Languages\n\n\n'English'", "#### Whose Language?\n\n\n[N/A]", "#### License\n\n\nunknown: License information unavailable", "#### Intended Use\n\n\nThe purpose of this dataset is to help develop systems to facilitate assessment and training of narrative comprehension skills for children in education domain. The dataset distinguishes fine-grained reading skills, such as the understanding of varying narrative elements, and contains high-quality QA-pairs generated by education experts with sufficient training and education domain knowledge to create valid QA-pairs in a consistent way.\n\n\nThis dataset is suitable for developing models to automatically generate questions and QA-Pairs that satisfy the need for a continuous supply of new questions, which can potentially enable large-scale development of AI-supported interactive platforms for the learning and assessment of reading comprehension skills.", "#### Primary Task\n\n\nQuestion Generation", "#### Communicative Goal\n\n\nThe task was to generate questions corresponding to the given answers and the story context. Models trained for this task can potentially enable large-scale development of AI-supported interactive platforms for the learning and assessment of reading comprehension skills.", "### Credit", "#### Curation Organization Type(s)\n\n\n'academic'", "#### Curation Organization(s)\n\n\nUniversity of California Irvine", "#### Dataset Creators\n\n\nYing Xu (University of California Irvine); Dakuo Wang (IBM Research); Mo Yu (IBM Research); Daniel Ritchie (University of California Irvine); Bingsheng Yao (Rensselaer Polytechnic Institute); Tongshuang Wu (University of Washington); Zheng Zhang (University of Notre Dame); Toby Jia-Jun Li (University of Notre Dame); Nora Bradford (University of California Irvine); Branda Sun (University of California Irvine); Tran Bao Hoang (University of California Irvine); Yisi Sang (Syracuse University); Yufang Hou (IBM Research Ireland); Xiaojuan Ma (Hong Kong Univ. of Sci and Tech); Diyi Yang (Georgia Institute of Technology); Nanyun Peng (University of California Los Angeles); Zhou Yu (Columbia University); Mark Warschauer (University of California Irvine)", "#### Funding\n\n\nSchmidt Futures", "#### Who added the Dataset to GEM?\n\n\nDakuo Wang (IBM Research); Bingsheng Yao (Rensselaer Polytechnic Institute); Ying Xu (University of California Irvine)", "### Dataset Structure", "#### Data Fields\n\n\n* 'story\\_name': a string of the story name to which the story section content belongs. Full story data can be found here.\n* 'content': a string of the story section(s) content related to the experts' labeled QA-pair. Used as the input for both Question Generation and Question Answering tasks.\n* 'question': a string of the question content. Used as the input for Question Answering task and as the output for Question Generation task.\n* 'answer': a string of the answer content for all splits. Used as the input for Question Generation task and as the output for Question Answering task.\n* 'gem\\_id': a string of id follows GEM naming convention where id is an incrementing number starting at 1\n* 'target': a string of the question content being used for training\n* 'references': a list of string containing the question content being used for automatic eval\n* 'local\\_or\\_sum': a string of either local or summary, indicating whether the QA is related to one story section or multiple sections\n* 'attribute': a string of one of character, causal relationship, action, setting, feeling, prediction, or outcome resolution. Classification of the QA by education experts annotators via 7 narrative elements on an established framework\n* 'ex\\_or\\_im': a string of either explicit or implicit, indicating whether the answers can be directly found in the story content or cannot be directly from the story content.", "#### Reason for Structure\n\n\n[N/A]", "#### How were labels chosen?\n\n\nA typical data point comprises a question, the corresponding story content, and one answer. Education expert annotators labeled whether the answer is locally relevant to one story section or requires summarization capabilities from multiple story sections, and whether the answers are explicit (can be directly found in the stories) or implicit (cannot be directly found in the story text). Additionally, education expert annotators categorize the QA-pairs via 7 narrative elements from an establish framework.", "#### Example Instance\n\n\n{'story\\_name': 'self-did-it',\n'content': '\" what is your name ? \" asked the girl from underground . \" self is my name , \" said the woman . that seemed a curious name to the girl , and she once more began to pull the fire apart . then the woman grew angry and began to scold , and built it all up again . thus they went on for a good while ; but at last , while they were in the midst of their pulling apart and building up of the fire , the woman upset the tar - barrel on the girl from underground . then the latter screamed and ran away , crying : \" father , father ! self burned me ! \" \" nonsense , if self did it , then self must suffer for it ! \" came the answer from below the hill .',\n'answer': 'the woman told the girl her name was self .',\n'question': \"why did the girl's father think the girl burned herself ?\",\n'gem\\_id': 'GEM-FairytaleQA-test-1006',\n'target': \"why did the girl's father think the girl burned herself ?\",\n'references': [\"why did the girl's father think the girl burned herself ?\"],\n'local\\_or\\_sum': 'local',\n'attribute': 'causal relationship',\n'ex\\_or\\_im': 'implicit'}", "#### Data Splits\n\n\nThe data is split into a train, validation, and test split randomly. The final split sizes are as follows:", "#### Splitting Criteria\n\n\nThe books are randomly split into train/validation/test splits. We control the ratio of QA-pair numbers in train:validation:test splits close to 8:1:1", "#### \n\n\n[N/A]\n\n\nDataset in GEM\n--------------", "### Rationale for Inclusion in GEM", "#### Why is the Dataset in GEM?\n\n\nThe dataset distinguishes fine-grained reading skills, such as the understanding of varying narrative elements, and contains high-quality QA-pairs generated by education experts with sufficient training and education domain knowledge to create valid QA-pairs in a consistent way.", "#### Similar Datasets\n\n\nno", "#### Ability that the Dataset measures\n\n\nThis dataset is suitable for developing models to automatically generate questions or QA-pairs that satisfy the need for a continuous supply of new questions, which can potentially enable large-scale development of AI-supported interactive platforms for the learning and assessment of reading comprehension skills.", "### GEM-Specific Curation", "#### Modificatied for GEM?\n\n\nyes", "#### GEM Modifications\n\n\n'data points removed'", "#### Modification Details\n\n\nThe original data contains two answers by different annotators in validation/test splits, we removed the 2nd answer for GEM version because it is not being used for the Question Generation task.", "#### Additional Splits?\n\n\nno", "### Getting Started with the Task", "#### Pointers to Resources\n\n\n[N/A]\n\n\nPrevious Results\n----------------", "### Previous Results", "#### Measured Model Abilities\n\n\nWe are able to measure model's capabilities of generating various types of questions that corresponds to different narrative elements with the FairytaleQA dataset on the Question Generation Task", "#### Metrics\n\n\n'ROUGE'", "#### Proposed Evaluation\n\n\nThe task was to generate questions corresponding to the given answers and the story context. Success on this task is typically measured by achieving a high ROUGE score to the reference ground-truth questions.", "#### Previous results available?\n\n\nyes", "#### Relevant Previous Results\n\n\nA BART-based model currently achieves a ROUGE-L of 0.527/0.527 on valid/test splits, which is reported as the baseline experiment for the dataset paper.\n\n\nDataset Curation\n----------------", "### Original Curation", "#### Original Curation Rationale\n\n\nFairytaleQA was built to focus on comprehension of narratives in the education domain, targeting students from kindergarten to eighth grade. We focus on narrative comprehension for 1. it is a high-level comprehension skill strongly predictive of reading achievement and plays a central role in daily life as people frequently encounter narratives in different forms, 2. narrative stories have a clear structure of specific elements and relations among these elements, and there are existing validated narrative comprehension frameworks around this structure, which provides a basis for developing the annotation schema for our dataset.", "#### Communicative Goal\n\n\nThe purpose of this dataset is to help develop systems to facilitate assessment and training of narrative comprehension skills for children in education domain.", "#### Sourced from Different Sources\n\n\nno", "### Language Data", "#### How was Language Data Obtained?\n\n\n'Found'", "#### Where was it found?\n\n\n'Single website'", "#### Language Producers\n\n\nThe fairytale story texts are from the Project Gutenberg website", "#### Topics Covered\n\n\nWe gathered the text from the Project Gutenberg website, using “fairytale” as the search term.", "#### Data Validation\n\n\nvalidated by data curator", "#### Data Preprocessing\n\n\nDue to a large number of fairytales found, we used the most popular stories based on the number of downloads since these stories are presumably of higher quality. To ensure the readability of the text, we made a small number of minor revisions to some obviously outdated vocabulary (e.g., changing “ere” to “before”) and the unconventional use of punctuation (e.g., changing consecutive semi-colons to periods).\n\n\nThese texts were broken down into small sections based on their semantic content by our annotators. The annotators were instructed to split the story into sections of 100-300 words that also contain meaningful content and are separated at natural story breaks. An initial annotator would split the story, and this would be reviewed by a cross-checking annotator. Most of the resulting sections were one natural paragraph of the original text.", "#### Was Data Filtered?\n\n\nmanually", "#### Filter Criteria\n\n\nFor each story, we evaluated the reading difficulty level using the textstat Python package, primarily based on sentence length, word length, and commonness of words. We excluded stories that are at 10th grade level or above.", "### Structured Annotations", "#### Additional Annotations?\n\n\nexpert created", "#### Number of Raters\n\n\n2<n<10", "#### Rater Qualifications\n\n\nAll of these annotators have a B.A. degree in education, psychology, or cognitive science and have substantial experience in teaching and reading assessment. These annotators were supervised by three experts in literacy education.", "#### Raters per Training Example\n\n\n2", "#### Raters per Test Example\n\n\n3", "#### Annotation Service?\n\n\nno", "#### Annotation Values\n\n\nThe dataset annotation distinguishes fine-grained reading skills, such as the understanding of varying narrative elements, and contains high-quality QA-pairs generated by education experts with sufficient training and education domain knowledge to create valid QA-pairs in a consistent way.", "#### Any Quality Control?\n\n\nvalidated by data curators", "#### Quality Control Details\n\n\nThe annotators were instructed to imagine that they were creating questions to test elementary or middle school students in the process of reading a complete story. We required the annotators to generate only natural, open-ended questions, avoiding “yes-” or “no-” questions. We also instructed them to provide a diverse set of questions about 7 different narrative elements, and with both implicit and explicit questions.\n\n\nWe asked the annotators to also generate answers for each of their questions. We asked them to provide the shortest possible answers but did not restrict them to complete sentences or short phrases. We also asked the annotators to label which section(s) the question and answer was from.\n\n\nAll annotators received a two-week training in which each of them was familiarized with the coding template and conducted practice coding on the same five stories. The practice QA pairs were then reviewed by the other annotators and the three experts, and discrepancies among annotators were discussed. During the annotation process, the team met once every week to review and discuss each member’s work. All QA pairs were cross-checked by two annotators, and 10% of the QA pairs were additionally checked by the expert supervisor.\n\n\nFor the 46 stories used as the evaluation set, we annotate a second reference answer by asking an annotator to independently read the story and answer the questions generated by others.", "### Consent", "#### Any Consent Policy?\n\n\nyes", "#### Consent Policy Details\n\n\nDuring the annotation process, the team met once every week to review and discuss each member’s work. All QA pairs were cross-checked by two annotators, and 10% of the QA pairs were additionally checked by the expert supervisor.", "#### Other Consented Downstream Use\n\n\nAside from Question Generation task, the data creators and curators used this data for Question Answering, and QA-Pair Generation tasks, and to identify social stereotypes represented in story narratives.", "### Private Identifying Information (PII)", "#### Contains PII?\n\n\nno PII", "#### Justification for no PII\n\n\nThe story content is from publically available knowledge website and the annotated QA-pairs are about general knowledge to the story content without references to the author or to any persons", "### Maintenance", "#### Any Maintenance Plan?\n\n\nyes", "#### Maintenance Plan Details\n\n\nWe plan to host various splits for the FairytaleQA dataset to better serve various types of research interests. We have the original data for 2 different split approaches including train/validation/test splits and split by fairytale origins. We are also plan to host the dataset on multiple platforms for various tasks.", "#### Maintainer Contact Information\n\n\nDaniel Ritchie", "#### Any Contestation Mechanism?\n\n\nno mechanism\n\n\nBroader Social Context\n----------------------", "### Previous Work on the Social Impact of the Dataset", "#### Usage of Models based on the Data\n\n\nyes - models trained on this dataset", "#### Social Impact Observations\n\n\n[N/A]", "#### Changes as Consequence of Social Impact\n\n\n[N/A]", "### Impact on Under-Served Communities", "#### Addresses needs of underserved Communities?\n\n\nyes", "#### Details on how Dataset Addresses the Needs\n\n\nFrom the educational perspective, given that reading comprehension is a multicomponent skill, it is ideal for comprehension questions to be able to identify students’ performance in specific sub-skills, thus allowing teachers to provide tailored guidance.", "### Discussion of Biases", "#### Any Documented Social Biases?\n\n\nunsure", "#### Are the Language Producers Representative of the Language?\n\n\n[N/A]\n\n\nConsiderations for Using the Data\n---------------------------------", "### PII Risks and Liability", "#### Potential PII Risk\n\n\n[N/A]", "### Licenses", "#### Copyright Restrictions on the Dataset\n\n\n'research use only'", "#### Copyright Restrictions on the Language Data\n\n\n'public domain'", "### Known Technical Limitations", "#### Technical Limitations\n\n\nWe noticed that human results are obtained via cross-estimation between the two annotated answers, thus are underestimated. One possibility for future work is to conduct a large-scale human annotation to collect more answers per question and then leverage the massively annotated answers to better establish a human performance evaluation.", "#### Unsuited Applications\n\n\nThe QA-pairs annotated by education experts are targeting the audience of children from kindergarten to eighth grade, so the difficulty of QA-pairs are not suitable to compare with other existing dataset that are sourced from knowledge graphs or knowledge bases like Wikipedia.", "#### Discouraged Use Cases\n\n\n[N/A]" ]
e4ebf0fa7a6705cb2c4e2e1426f1034f63bf6fa9	# ParaDetox: Detoxification with Parallel Data (English) This repository contains information about Paradetox dataset -- the first parallel corpus for the detoxification task -- as well as models and evaluation methodology for the detoxification of English texts. The original paper ["ParaDetox: Detoxification with Parallel Data"](https://aclanthology.org/2022.acl-long.469/) was presented at ACL 2022 main conference. ## ParaDetox Collection Pipeline The ParaDetox Dataset collection was done via [Yandex.Toloka](https://toloka.yandex.com/) crowdsource platform. The collection was done in three steps: * Task 1: Generation of Paraphrases: The first crowdsourcing task asks users to eliminate toxicity in a given sentence while keeping the content. * Task 2: Content Preservation Check: We show users the generated paraphrases along with their original variants and ask them to indicate if they have close meanings. * Task 3: Toxicity Check: Finally, we check if the workers succeeded in removing toxicity. All these steps were done to ensure high quality of the data and make the process of collection automated. For more details please refer to the original paper. ## ParaDetox Dataset As a result, we get paraphrases for 11,939 toxic sentences (on average 1.66 paraphrases per sentence), 19,766 paraphrases total. In addition to all ParaDetox dataset, we also make public [samples](https://huggingface.co/datasets/s-nlp/en_non_detoxified) that were marked by annotators as "cannot rewrite" in Task 1 of crowdsource pipeline. # Detoxification evaluation The automatic evaluation of the model were produced based on three parameters: * style transfer accuracy (STA): percentage of nontoxic outputs identified by a style classifier. We pretrained toxicity classifier on Jigsaw data and put it online in HuggingFace🤗 [repo](https://huggingface.co/SkolkovoInstitute/roberta_toxicity_classifier). * content preservation (SIM): cosine similarity between the embeddings of the original text and the output computed with the model of [Wieting et al. (2019)](https://aclanthology.org/P19-1427/). * fluency (FL): percentage of fluent sentences identified by a RoBERTa-based classifier of linguistic acceptability trained on the [CoLA dataset](https://nyu-mll.github.io/CoLA/). All code used for our experiments to evluate different detoxifcation models can be run via Colab notebook [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1xTqbx7IPF8bVL2bDCfQSDarA43mIPefE?usp=sharing) ## Detoxification model New SOTA for detoxification task -- BART (base) model trained on ParaDetox dataset -- we released online in HuggingFace🤗 repository [here](https://huggingface.co/SkolkovoInstitute/bart-base-detox). You can also check out our [demo](https://detoxifier.nlp.zhores.net/junction/) and telegram [bot](https://t.me/rudetoxifierbot). ## Citation ``` @inproceedings{logacheva-etal-2022-paradetox, title = "{P}ara{D}etox: Detoxification with Parallel Data", author = "Logacheva, Varvara and Dementieva, Daryna and Ustyantsev, Sergey and Moskovskiy, Daniil and Dale, David and Krotova, Irina and Semenov, Nikita and Panchenko, Alexander", booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)", month = may, year = "2022", address = "Dublin, Ireland", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2022.acl-long.469", pages = "6804--6818", abstract = "We present a novel pipeline for the collection of parallel data for the detoxification task. We collect non-toxic paraphrases for over 10,000 English toxic sentences. We also show that this pipeline can be used to distill a large existing corpus of paraphrases to get toxic-neutral sentence pairs. We release two parallel corpora which can be used for the training of detoxification models. To the best of our knowledge, these are the first parallel datasets for this task.We describe our pipeline in detail to make it fast to set up for a new language or domain, thus contributing to faster and easier development of new parallel resources.We train several detoxification models on the collected data and compare them with several baselines and state-of-the-art unsupervised approaches. We conduct both automatic and manual evaluations. All models trained on parallel data outperform the state-of-the-art unsupervised models by a large margin. This suggests that our novel datasets can boost the performance of detoxification systems.", } ``` ## Contacts If you find some issue, do not hesitate to add it to [Github Issues](https://github.com/skoltech-nlp/paradetox/issues). For any questions and get the TEST SET, please, contact: Daryna Dementieva ([email protected])	s-nlp/paradetox	[ "task_categories:text-generation", "language:en", "license:openrail++", "region:us" ]	2022-05-19T16:12:06+00:00	{"language": ["en"], "license": "openrail++", "task_categories": ["text-generation"]}	2023-09-08T07:59:53+00:00	[]	[ "en" ]	TAGS #task_categories-text-generation #language-English #license-openrail++ #region-us	# ParaDetox: Detoxification with Parallel Data (English) This repository contains information about Paradetox dataset -- the first parallel corpus for the detoxification task -- as well as models and evaluation methodology for the detoxification of English texts. The original paper "ParaDetox: Detoxification with Parallel Data" was presented at ACL 2022 main conference. ## ParaDetox Collection Pipeline The ParaDetox Dataset collection was done via Yandex.Toloka crowdsource platform. The collection was done in three steps: * Task 1: Generation of Paraphrases: The first crowdsourcing task asks users to eliminate toxicity in a given sentence while keeping the content. * Task 2: Content Preservation Check: We show users the generated paraphrases along with their original variants and ask them to indicate if they have close meanings. * Task 3: Toxicity Check: Finally, we check if the workers succeeded in removing toxicity. All these steps were done to ensure high quality of the data and make the process of collection automated. For more details please refer to the original paper. ## ParaDetox Dataset As a result, we get paraphrases for 11,939 toxic sentences (on average 1.66 paraphrases per sentence), 19,766 paraphrases total. In addition to all ParaDetox dataset, we also make public samples that were marked by annotators as "cannot rewrite" in Task 1 of crowdsource pipeline. # Detoxification evaluation The automatic evaluation of the model were produced based on three parameters: * style transfer accuracy (STA): percentage of nontoxic outputs identified by a style classifier. We pretrained toxicity classifier on Jigsaw data and put it online in HuggingFace repo. * content preservation (SIM): cosine similarity between the embeddings of the original text and the output computed with the model of Wieting et al. (2019). * fluency (FL): percentage of fluent sentences identified by a RoBERTa-based classifier of linguistic acceptability trained on the CoLA dataset. All code used for our experiments to evluate different detoxifcation models can be run via Colab notebook ![Open In Colab](URL ## Detoxification model New SOTA for detoxification task -- BART (base) model trained on ParaDetox dataset -- we released online in HuggingFace repository here. You can also check out our demo and telegram bot. ## Contacts If you find some issue, do not hesitate to add it to Github Issues. For any questions and get the TEST SET, please, contact: Daryna Dementieva (dardem96@URL)	[ "# ParaDetox: Detoxification with Parallel Data (English)\n\nThis repository contains information about Paradetox dataset -- the first parallel corpus for the detoxification task -- as well as models and evaluation methodology for the detoxification of English texts. The original paper \"ParaDetox: Detoxification with Parallel Data\" was presented at ACL 2022 main conference.", "## ParaDetox Collection Pipeline\n\nThe ParaDetox Dataset collection was done via Yandex.Toloka crowdsource platform. The collection was done in three steps:\n* Task 1: Generation of Paraphrases: The first crowdsourcing task asks users to eliminate toxicity in a given sentence while keeping the content.\n* Task 2: Content Preservation Check: We show users the generated paraphrases along with their original variants and ask them to indicate if they have close meanings.\n* Task 3: Toxicity Check: Finally, we check if the workers succeeded in removing toxicity.\n\nAll these steps were done to ensure high quality of the data and make the process of collection automated. For more details please refer to the original paper.", "## ParaDetox Dataset\nAs a result, we get paraphrases for 11,939 toxic sentences (on average 1.66 paraphrases per sentence), 19,766 paraphrases total.\n\nIn addition to all ParaDetox dataset, we also make public samples that were marked by annotators as \"cannot rewrite\" in Task 1 of crowdsource pipeline.", "# Detoxification evaluation\n\nThe automatic evaluation of the model were produced based on three parameters:\n* style transfer accuracy (STA): percentage of nontoxic outputs identified by a style classifier. We pretrained toxicity classifier on Jigsaw data and put it online in HuggingFace repo.\n* content preservation (SIM): cosine similarity between the embeddings of the original text and the output computed with the model of Wieting et al. (2019).\n* fluency (FL): percentage of fluent sentences identified by a RoBERTa-based classifier of linguistic acceptability trained on the CoLA dataset. \n\nAll code used for our experiments to evluate different detoxifcation models can be run via Colab notebook ![Open In Colab](URL", "## Detoxification model\nNew SOTA for detoxification task -- BART (base) model trained on ParaDetox dataset -- we released online in HuggingFace repository here.\n\nYou can also check out our demo and telegram bot.", "## Contacts\n\nIf you find some issue, do not hesitate to add it to Github Issues.\n\nFor any questions and get the TEST SET, please, contact: Daryna Dementieva (dardem96@URL)" ]	[ "TAGS\n#task_categories-text-generation #language-English #license-openrail++ #region-us \n", "# ParaDetox: Detoxification with Parallel Data (English)\n\nThis repository contains information about Paradetox dataset -- the first parallel corpus for the detoxification task -- as well as models and evaluation methodology for the detoxification of English texts. The original paper \"ParaDetox: Detoxification with Parallel Data\" was presented at ACL 2022 main conference.", "## ParaDetox Collection Pipeline\n\nThe ParaDetox Dataset collection was done via Yandex.Toloka crowdsource platform. The collection was done in three steps:\n* Task 1: Generation of Paraphrases: The first crowdsourcing task asks users to eliminate toxicity in a given sentence while keeping the content.\n* Task 2: Content Preservation Check: We show users the generated paraphrases along with their original variants and ask them to indicate if they have close meanings.\n* Task 3: Toxicity Check: Finally, we check if the workers succeeded in removing toxicity.\n\nAll these steps were done to ensure high quality of the data and make the process of collection automated. For more details please refer to the original paper.", "## ParaDetox Dataset\nAs a result, we get paraphrases for 11,939 toxic sentences (on average 1.66 paraphrases per sentence), 19,766 paraphrases total.\n\nIn addition to all ParaDetox dataset, we also make public samples that were marked by annotators as \"cannot rewrite\" in Task 1 of crowdsource pipeline.", "# Detoxification evaluation\n\nThe automatic evaluation of the model were produced based on three parameters:\n* style transfer accuracy (STA): percentage of nontoxic outputs identified by a style classifier. We pretrained toxicity classifier on Jigsaw data and put it online in HuggingFace repo.\n* content preservation (SIM): cosine similarity between the embeddings of the original text and the output computed with the model of Wieting et al. (2019).\n* fluency (FL): percentage of fluent sentences identified by a RoBERTa-based classifier of linguistic acceptability trained on the CoLA dataset. \n\nAll code used for our experiments to evluate different detoxifcation models can be run via Colab notebook ![Open In Colab](URL", "## Detoxification model\nNew SOTA for detoxification task -- BART (base) model trained on ParaDetox dataset -- we released online in HuggingFace repository here.\n\nYou can also check out our demo and telegram bot.", "## Contacts\n\nIf you find some issue, do not hesitate to add it to Github Issues.\n\nFor any questions and get the TEST SET, please, contact: Daryna Dementieva (dardem96@URL)" ]

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