hub_id
large_stringlengths 6
115
| config_name
large_stringclasses 972
values | likes
int64 0
1.38k
| downloads
int64 0
945k
| tags
large_stringlengths 13
64.7k
| language
large_stringclasses 681
values | license
large_stringclasses 109
values | created_at
timestamp[us]date 2022-03-02 23:29:22
2025-04-26 01:36:34
| last_modified
timestamp[us]date 2022-10-05 14:43:40
2025-04-26 01:37:13
| features
large_stringlengths 2
897k
⌀ | version
large_stringclasses 4
values |
|---|---|---|---|---|---|---|---|---|---|---|
brianmatzelle/2024-election-benshapiro-threads-200 | default | 0 | 45 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-29T01:14:30 | 2024-11-29T01:14:32 | [{"name": "conversations", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "metadata", "struct": [{"name": "controversiality", "dtype": "int64"}, {"name": "normalized_controversiality", "dtype": "float64"}, {"name": "post", "struct": [{"name": "author", "dtype": "string"}, {"name": "downvotes", "dtype": "int64"}, {"name": "flair", "dtype": "string"}, {"name": "score", "dtype": "int64"}, {"name": "suggested_sort", "dtype": "string"}, {"name": "upvote_ratio", "dtype": "float64"}, {"name": "upvotes", "dtype": "int64"}]}, {"name": "subreddit", "struct": [{"name": "name", "dtype": "string"}, {"name": "subscribers", "dtype": "int64"}]}]}] | {} |
trl-lib/alpaca-cleaned | default | 0 | 46 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-28T09:08:55 | 2024-11-28T09:09:06 | [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}] | {} |
mpdg123456789/quotes-30k-validate-pt2 | default | 0 | 31 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2025-01-04T09:49:58 | 2025-01-04T09:50:00 | [{"name": "quote", "dtype": "string"}, {"name": "author", "dtype": "string"}, {"name": "category", "dtype": "string"}, {"name": "text", "dtype": "string"}] | {} |
yiyic/oscar_gu_test | default | 0 | 30 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-05-12T17:26:24 | 2024-05-12T17:26:33 | [{"name": "text", "dtype": "string"}] | {} |
israfelsr/tokenized_cc3m | default | 0 | 53 | ["task_categories:text-generation", "language:en", "license:mit", "size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | ["en"] | "mit" | 2024-01-11T11:02:22 | 2024-01-11T11:17:45 | [{"name": "text", "dtype": "string"}, {"name": "clip_ids", "sequence": "int64"}, {"name": "clip_attention_mask", "sequence": "int64"}, {"name": "t5_ids", "sequence": "int64"}, {"name": "t5_attention_mask", "sequence": "int64"}] | {} |
ZhangShenao/sft-math_math-gemma-1.1-7b-it-iter_sample_7500_tp | default | 0 | 27 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2025-01-05T20:47:19 | 2025-01-05T20:47:22 | [{"name": "question", "dtype": "string"}, {"name": "rational_answer", "dtype": "string"}] | {} |
anthj/sft_mw_new5 | default | 1 | 31 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-07-19T06:20:27 | 2024-07-19T06:20:32 | [{"name": "prompt", "dtype": "string"}, {"name": "completion", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}] | {} |
rebnej/coco-train-blip2-5best-p0.5-alpaca | default | 0 | 32 | ["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-07-31T09:36:23 | 2024-07-31T09:36:30 | [{"name": "image_id", "dtype": "int64"}, {"name": "output", "dtype": "string"}, {"name": "instruction", "dtype": "string"}] | {} |
atgarcia/silentParallelData1 | default | 0 | 32 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-07-02T02:42:05 | 2024-07-02T02:42:34 | [{"name": "text", "dtype": "string"}, {"name": "audio", "struct": [{"name": "array", "sequence": "float64"}, {"name": "path", "dtype": "string"}, {"name": "sampling_rate", "dtype": "int64"}]}, {"name": "emg", "sequence": {"sequence": "float64"}}] | {} |
KathirKs/CC-MAIN-2014-10_4001_5000_shard_3 | default | 0 | 31 | ["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-07-22T19:11:02 | 2024-07-23T18:08:44 | [{"name": "text", "sequence": "string"}, {"name": "uuid", "dtype": "string"}] | {} |
minhyeonoh/_feedback_assistant_harmlesshelpfulhumor_271_1.5_0_5 | default | 0 | 32 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-09-28T20:48:41 | 2024-09-28T21:41:52 | [{"name": "input", "dtype": "string"}, {"name": "response_a", "dtype": "string"}, {"name": "reward_a", "sequence": "float64"}, {"name": "response_b", "dtype": "string"}, {"name": "reward_b", "sequence": "float64"}, {"name": "comparison", "dtype": "int64"}] | {} |
andrewsiah/PersonaPromptPersonalLLM_445 | default | 0 | 31 | ["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-08-08T03:21:42 | 2024-08-08T03:21:44 | [{"name": "personaid_445_response_1_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_445_response_2_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_445_response_3_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_445_response_4_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_445_response_5_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_445_response_6_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_445_response_7_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_445_response_8_llama3_sfairx", "dtype": "float64"}, {"name": "prompt", "dtype": "string"}, {"name": "subset", "dtype": "string"}, {"name": "prompt_id", "dtype": "int64"}, {"name": "response_1", "dtype": "string"}, {"name": "response_1_model", "dtype": "string"}, {"name": "response_2", "dtype": "string"}, {"name": "response_2_model", "dtype": "string"}, {"name": "response_3", "dtype": "string"}, {"name": "response_3_model", "dtype": "string"}, {"name": "response_4", "dtype": "string"}, {"name": "response_4_model", "dtype": "string"}, {"name": "response_5", "dtype": "string"}, {"name": "response_5_model", "dtype": "string"}, {"name": "response_6", "dtype": "string"}, {"name": "response_6_model", "dtype": "string"}, {"name": "response_7", "dtype": "string"}, {"name": "response_7_model", "dtype": "string"}, {"name": "response_8", "dtype": "string"}, {"name": "response_8_model", "dtype": "string"}, {"name": "response_1_gemma_2b", "dtype": "float64"}, {"name": "response_2_gemma_2b", "dtype": "float64"}, {"name": "response_3_gemma_2b", "dtype": "float64"}, {"name": "response_4_gemma_2b", "dtype": "float64"}, {"name": "response_5_gemma_2b", "dtype": "float64"}, {"name": "response_6_gemma_2b", "dtype": "float64"}, {"name": "response_7_gemma_2b", "dtype": "float64"}, {"name": "response_8_gemma_2b", "dtype": "float64"}, {"name": "response_1_gemma_7b", "dtype": "float64"}, {"name": "response_2_gemma_7b", "dtype": "float64"}, {"name": "response_3_gemma_7b", "dtype": "float64"}, {"name": "response_4_gemma_7b", "dtype": "float64"}, {"name": "response_5_gemma_7b", "dtype": "float64"}, {"name": "response_6_gemma_7b", "dtype": "float64"}, {"name": "response_7_gemma_7b", "dtype": "float64"}, {"name": "response_8_gemma_7b", "dtype": "float64"}, {"name": "response_1_mistral_raft", "dtype": "float64"}, {"name": "response_2_mistral_raft", "dtype": "float64"}, {"name": "response_3_mistral_raft", "dtype": "float64"}, {"name": "response_4_mistral_raft", "dtype": "float64"}, {"name": "response_5_mistral_raft", "dtype": "float64"}, {"name": "response_6_mistral_raft", "dtype": "float64"}, {"name": "response_7_mistral_raft", "dtype": "float64"}, {"name": "response_8_mistral_raft", "dtype": "float64"}, {"name": "response_1_mistral_ray", "dtype": "float64"}, {"name": "response_2_mistral_ray", "dtype": "float64"}, {"name": "response_3_mistral_ray", "dtype": "float64"}, {"name": "response_4_mistral_ray", "dtype": "float64"}, {"name": "response_5_mistral_ray", "dtype": "float64"}, {"name": "response_6_mistral_ray", "dtype": "float64"}, {"name": "response_7_mistral_ray", "dtype": "float64"}, {"name": "response_8_mistral_ray", "dtype": "float64"}, {"name": "response_1_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_2_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_3_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_4_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_5_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_6_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_7_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_8_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_1_llama3_sfairx", "dtype": "float64"}, {"name": "response_2_llama3_sfairx", "dtype": "float64"}, {"name": "response_3_llama3_sfairx", "dtype": "float64"}, {"name": "response_4_llama3_sfairx", "dtype": "float64"}, {"name": "response_5_llama3_sfairx", "dtype": "float64"}, {"name": "response_6_llama3_sfairx", "dtype": "float64"}, {"name": "response_7_llama3_sfairx", "dtype": "float64"}, {"name": "response_8_llama3_sfairx", "dtype": "float64"}, {"name": "response_1_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_2_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_3_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_4_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_5_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_6_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_7_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_8_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_1_beaver_7b", "dtype": "float64"}, {"name": "response_2_beaver_7b", "dtype": "float64"}, {"name": "response_3_beaver_7b", "dtype": "float64"}, {"name": "response_4_beaver_7b", "dtype": "float64"}, {"name": "response_5_beaver_7b", "dtype": "float64"}, {"name": "response_6_beaver_7b", "dtype": "float64"}, {"name": "response_7_beaver_7b", "dtype": "float64"}, {"name": "response_8_beaver_7b", "dtype": "float64"}, {"name": "response_1_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_2_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_3_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_4_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_5_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_6_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_7_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_8_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_1_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_2_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_3_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_4_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_5_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_6_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_7_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_8_oasst_pythia_1b", "dtype": "float64"}, {"name": "id", "dtype": "int64"}, {"name": "rformatted_promptresponse_1", "dtype": "string"}, {"name": "rformatted_promptresponse_2", "dtype": "string"}, {"name": "rformatted_promptresponse_3", "dtype": "string"}, {"name": "rformatted_promptresponse_4", "dtype": "string"}, {"name": "rformatted_promptresponse_5", "dtype": "string"}, {"name": "rformatted_promptresponse_6", "dtype": "string"}, {"name": "rformatted_promptresponse_7", "dtype": "string"}, {"name": "rformatted_promptresponse_8", "dtype": "string"}] | {} |
jgibb/congress_117_bills_test_t5_summaries_billsum | default | 0 | 31 | ["size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-04-08T06:33:04 | 2024-04-08T06:33:19 | [{"name": "Unnamed: 0", "dtype": "int64"}, {"name": "index", "dtype": "int64"}, {"name": "id", "dtype": "string"}, {"name": "policy_areas", "dtype": "string"}, {"name": "cur_summary", "dtype": "string"}, {"name": "cur_text", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "titles_official", "dtype": "string"}, {"name": "titles_short", "dtype": "string"}, {"name": "sponsor_name", "dtype": "string"}, {"name": "sponsor_party", "dtype": "string"}, {"name": "sponsor_state", "dtype": "string"}, {"name": "cleaned_summary", "dtype": "string"}, {"name": "extracted_text", "dtype": "string"}, {"name": "extracted_text_375", "dtype": "string"}, {"name": "extracted_text_750", "dtype": "string"}, {"name": "extracted_text_1000", "dtype": "string"}, {"name": "bertsum_extracted_250", "dtype": "string"}, {"name": "bertsum_extracted_375", "dtype": "string"}, {"name": "bertsum_extracted_375_1000", "dtype": "string"}, {"name": "bertsum_extracted_250_1000", "dtype": "string"}, {"name": "bertsum_extracted_375_750", "dtype": "string"}, {"name": "bertsum_extracted_250_750", "dtype": "string"}, {"name": "bertsum_extracted_375_500", "dtype": "string"}, {"name": "bertsum_extracted_250_500", "dtype": "string"}, {"name": "bertsum_extracted_375_375", "dtype": "string"}, {"name": "bertsum_extracted_250_375", "dtype": "string"}, {"name": "text_len", "dtype": "int64"}, {"name": "billsum_abstracted_1000", "dtype": "string"}, {"name": "billsum_abstracted_500", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}, {"name": "summary_billsum_abstracted_500", "dtype": "string"}] | {} |
piercemaloney/coqgym_coq_projects_v2 | default | 0 | 32 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-03-21T05:54:47 | 2024-03-21T05:55:34 | [{"name": "text", "dtype": "string"}] | {} |
SineQunNon/lora_test_data_0729 | default | 0 | 35 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-07-28T19:54:02 | 2024-07-28T19:54:06 | [{"name": "text", "dtype": "string"}] | {} |
AdapterOcean/code_instructions_standardized_cluster_11_alpaca | default | 0 | 32 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-10-23T17:33:47 | 2023-10-23T17:33:50 | [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}] | {} |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_ffebf24a-764f-4d1c-a730-147333e5d69f | default | 0 | 35 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-01T09:11:35 | 2024-10-01T09:11:36 | [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "positive", "1": "negative"}}}}] | {} |
albertge/dolly-15k-clustered-fulltext-full_dim_768-20250103 | default | 0 | 42 | ["size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2025-01-03T11:49:02 | 2025-01-04T09:49:32 | [{"name": "instruction", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "category", "dtype": "string"}, {"name": "cluster_id", "dtype": "int32"}, {"name": "cluster_id_16", "dtype": "int64"}, {"name": "cluster_id_80", "dtype": "int32"}, {"name": "index", "dtype": "int64"}, {"name": "cluster_assignments", "dtype": "string"}] | {} |
FaalSa/f20_it | default | 0 | 31 | ["size_categories:n<1K", "format:parquet", "modality:text", "modality:timeseries", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-05-20T15:14:20 | 2024-05-20T15:14:23 | [{"name": "start", "dtype": "timestamp[s]"}, {"name": "target", "sequence": "float32"}, {"name": "item_id", "dtype": "string"}, {"name": "feat_static_cat", "sequence": "uint64"}] | {} |
results-sd-v1-5-sd-v2-1-if-v1-0-karlo/b1a936ee | default | 0 | 30 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-05-25T01:45:27 | 2023-05-25T01:45:28 | [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}] | {} |
KarMa001/controlnet_img_training | default | 0 | 31 | ["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-01-25T09:55:52 | 2024-01-25T09:56:03 | [{"name": "image", "dtype": "image"}, {"name": "image_seg", "dtype": "image"}, {"name": "landmarks", "dtype": "string"}] | {} |
flower2ree/Seoul_bike | default | 0 | 33 | ["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-06-03T01:13:26 | 2024-06-03T01:19:17 | [{"name": "Date", "dtype": "string"}, {"name": "Rented Bike Count", "dtype": "int64"}, {"name": "Hour", "dtype": "int64"}, {"name": "Temperature(\u00b0C)", "dtype": "float64"}, {"name": "Humidity(%)", "dtype": "int64"}, {"name": "Wind speed (m/s)", "dtype": "float64"}, {"name": "Visibility (10m)", "dtype": "int64"}, {"name": "Dew point temperature(\u00b0C)", "dtype": "float64"}, {"name": "Solar Radiation (MJ/m2)", "dtype": "float64"}, {"name": "Rainfall(mm)", "dtype": "float64"}, {"name": "Snowfall (cm)", "dtype": "float64"}, {"name": "Seasons", "dtype": "string"}, {"name": "Holiday", "dtype": "string"}, {"name": "Functioning Day", "dtype": "string"}] | {} |
sazirarrwth99/last_stage_dataset_kangoroo_SFT_final_test | default | 0 | 34 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-04-08T14:21:30 | 2024-04-08T14:21:40 | [{"name": "text", "dtype": "string"}] | {} |
Rutts07/mgap-hne_Deva | default | 0 | 31 | ["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-07T20:29:40 | 2024-10-12T18:35:47 | [{"name": "ID", "dtype": "string"}, {"name": "Text", "dtype": "string"}, {"name": "Pronoun", "dtype": "string"}, {"name": "Pronoun-offset", "dtype": "int64"}, {"name": "A", "dtype": "string"}, {"name": "A-offset", "dtype": "int64"}, {"name": "A-coref", "dtype": "bool"}, {"name": "B", "dtype": "string"}, {"name": "B-offset", "dtype": "int64"}, {"name": "B-coref", "dtype": "bool"}, {"name": "Translated_Text", "dtype": "string"}, {"name": "Translated_Pronoun", "dtype": "string"}, {"name": "Translated_A", "dtype": "string"}, {"name": "Translated_B", "dtype": "string"}, {"name": "Translated_A_offset", "dtype": "int64"}, {"name": "Translated_B_offset", "dtype": "int64"}, {"name": "Translated_Pronoun_offset", "dtype": "int64"}] | {} |
AndreIglesias/chacha | default | 0 | 33 | ["region:us"] | null | null | 2024-05-25T21:31:54 | 2024-05-26T08:12:57 | [{"name": "Input", "dtype": "string"}, {"name": "Output", "dtype": "string"}] | {} |
andrewsiah/PersonaPromptPersonalLLM_695 | default | 0 | 39 | ["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-14T19:35:54 | 2024-11-14T19:36:02 | [{"name": "personaid_695_response_1_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_695_response_2_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_695_response_3_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_695_response_4_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_695_response_5_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_695_response_6_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_695_response_7_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_695_response_8_llama3_sfairx", "dtype": "float64"}, {"name": "prompt", "dtype": "string"}, {"name": "subset", "dtype": "string"}, {"name": "prompt_id", "dtype": "int64"}, {"name": "response_1", "dtype": "string"}, {"name": "response_1_model", "dtype": "string"}, {"name": "response_2", "dtype": "string"}, {"name": "response_2_model", "dtype": "string"}, {"name": "response_3", "dtype": "string"}, {"name": "response_3_model", "dtype": "string"}, {"name": "response_4", "dtype": "string"}, {"name": "response_4_model", "dtype": "string"}, {"name": "response_5", "dtype": "string"}, {"name": "response_5_model", "dtype": "string"}, {"name": "response_6", "dtype": "string"}, {"name": "response_6_model", "dtype": "string"}, {"name": "response_7", "dtype": "string"}, {"name": "response_7_model", "dtype": "string"}, {"name": "response_8", "dtype": "string"}, {"name": "response_8_model", "dtype": "string"}, {"name": "response_1_gemma_2b", "dtype": "float64"}, {"name": "response_2_gemma_2b", "dtype": "float64"}, {"name": "response_3_gemma_2b", "dtype": "float64"}, {"name": "response_4_gemma_2b", "dtype": "float64"}, {"name": "response_5_gemma_2b", "dtype": "float64"}, {"name": "response_6_gemma_2b", "dtype": "float64"}, {"name": "response_7_gemma_2b", "dtype": "float64"}, {"name": "response_8_gemma_2b", "dtype": "float64"}, {"name": "response_1_gemma_7b", "dtype": "float64"}, {"name": "response_2_gemma_7b", "dtype": "float64"}, {"name": "response_3_gemma_7b", "dtype": "float64"}, {"name": "response_4_gemma_7b", "dtype": "float64"}, {"name": "response_5_gemma_7b", "dtype": "float64"}, {"name": "response_6_gemma_7b", "dtype": "float64"}, {"name": "response_7_gemma_7b", "dtype": "float64"}, {"name": "response_8_gemma_7b", "dtype": "float64"}, {"name": "response_1_mistral_raft", "dtype": "float64"}, {"name": "response_2_mistral_raft", "dtype": "float64"}, {"name": "response_3_mistral_raft", "dtype": "float64"}, {"name": "response_4_mistral_raft", "dtype": "float64"}, {"name": "response_5_mistral_raft", "dtype": "float64"}, {"name": "response_6_mistral_raft", "dtype": "float64"}, {"name": "response_7_mistral_raft", "dtype": "float64"}, {"name": "response_8_mistral_raft", "dtype": "float64"}, {"name": "response_1_mistral_ray", "dtype": "float64"}, {"name": "response_2_mistral_ray", "dtype": "float64"}, {"name": "response_3_mistral_ray", "dtype": "float64"}, {"name": "response_4_mistral_ray", "dtype": "float64"}, {"name": "response_5_mistral_ray", "dtype": "float64"}, {"name": "response_6_mistral_ray", "dtype": "float64"}, {"name": "response_7_mistral_ray", "dtype": "float64"}, {"name": "response_8_mistral_ray", "dtype": "float64"}, {"name": "response_1_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_2_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_3_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_4_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_5_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_6_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_7_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_8_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_1_llama3_sfairx", "dtype": "float64"}, {"name": "response_2_llama3_sfairx", "dtype": "float64"}, {"name": "response_3_llama3_sfairx", "dtype": "float64"}, {"name": "response_4_llama3_sfairx", "dtype": "float64"}, {"name": "response_5_llama3_sfairx", "dtype": "float64"}, {"name": "response_6_llama3_sfairx", "dtype": "float64"}, {"name": "response_7_llama3_sfairx", "dtype": "float64"}, {"name": "response_8_llama3_sfairx", "dtype": "float64"}, {"name": "response_1_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_2_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_3_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_4_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_5_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_6_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_7_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_8_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_1_beaver_7b", "dtype": "float64"}, {"name": "response_2_beaver_7b", "dtype": "float64"}, {"name": "response_3_beaver_7b", "dtype": "float64"}, {"name": "response_4_beaver_7b", "dtype": "float64"}, {"name": "response_5_beaver_7b", "dtype": "float64"}, {"name": "response_6_beaver_7b", "dtype": "float64"}, {"name": "response_7_beaver_7b", "dtype": "float64"}, {"name": "response_8_beaver_7b", "dtype": "float64"}, {"name": "response_1_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_2_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_3_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_4_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_5_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_6_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_7_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_8_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_1_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_2_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_3_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_4_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_5_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_6_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_7_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_8_oasst_pythia_1b", "dtype": "float64"}, {"name": "id", "dtype": "int64"}, {"name": "rformatted_promptresponse_1", "dtype": "string"}, {"name": "rformatted_promptresponse_2", "dtype": "string"}, {"name": "rformatted_promptresponse_3", "dtype": "string"}, {"name": "rformatted_promptresponse_4", "dtype": "string"}, {"name": "rformatted_promptresponse_5", "dtype": "string"}, {"name": "rformatted_promptresponse_6", "dtype": "string"}, {"name": "rformatted_promptresponse_7", "dtype": "string"}, {"name": "rformatted_promptresponse_8", "dtype": "string"}] | {} |
piuba-bigdata/articles_and_comments | default | 2 | 60 | ["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2022-11-29T01:25:15 | 2023-02-04T00:32:48 | [{"name": "tweet_id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "user", "dtype": "string"}, {"name": "body", "dtype": "string"}, {"name": "created_at", "dtype": "string"}, {"name": "comments", "list": [{"name": "created_at", "dtype": "string"}, {"name": "prediction", "struct": [{"name": "APPEARANCE", "dtype": "int64"}, {"name": "CALLS", "dtype": "int64"}, {"name": "CLASS", "dtype": "int64"}, {"name": "CRIMINAL", "dtype": "int64"}, {"name": "DISABLED", "dtype": "int64"}, {"name": "LGBTI", "dtype": "int64"}, {"name": "POLITICS", "dtype": "int64"}, {"name": "RACISM", "dtype": "int64"}, {"name": "WOMEN", "dtype": "int64"}]}, {"name": "text", "dtype": "string"}, {"name": "tweet_id", "dtype": "string"}, {"name": "user_id", "dtype": "string"}]}] | {} |
procit002/FirstnameOnlyAug06 | default | 0 | 30 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-08-06T08:19:22 | 2024-08-06T08:19:35 | [{"name": "id", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "pos_tags", "sequence": {"class_label": {"names": {"0": "\"", "1": "''", "2": "#", "3": "$", "4": "(", "5": ")", "6": ",", "7": ".", "8": ":", "9": "``", "10": "CC", "11": "CD", "12": "DT", "13": "EX", "14": "FW", "15": "IN", "16": "JJ", "17": "JJR", "18": "JJS", "19": "LS", "20": "MD", "21": "NN", "22": "NNP", "23": "NNPS", "24": "NNS", "25": "NN|SYM", "26": "PDT", "27": "POS", "28": "PRP", "29": "PRP$", "30": "RB", "31": "RBR", "32": "RBS", "33": "RP", "34": "SYM", "35": "TO", "36": "UH", "37": "VB", "38": "VBD", "39": "VBG", "40": "VBN", "41": "VBP", "42": "VBZ", "43": "WDT", "44": "WP", "45": "WP$", "46": "WRB"}}}}, {"name": "chunk_tags", "sequence": {"class_label": {"names": {"0": "O", "1": "B-ADJP", "2": "I-ADJP", "3": "B-ADVP", "4": "I-ADVP", "5": "B-CONJP", "6": "I-CONJP", "7": "B-INTJ", "8": "I-INTJ", "9": "B-LST", "10": "I-LST", "11": "B-NP", "12": "I-NP", "13": "B-PP", "14": "I-PP", "15": "B-PRT", "16": "I-PRT", "17": "B-SBAR", "18": "I-SBAR", "19": "B-UCP", "20": "I-UCP", "21": "B-VP", "22": "I-VP"}}}}, {"name": "ner_tags", "sequence": {"class_label": {"names": {"0": "O", "1": "B-PER", "2": "I-PER", "3": "B-ORG", "4": "I-ORG", "5": "B-LOC", "6": "I-LOC", "7": "B-MISC", "8": "I-MISC"}}}}] | {} |
DatPySci/weak_gpt2_hh | default | 0 | 38 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-10T14:37:50 | 2024-12-10T14:37:59 | [{"name": "reference_response", "dtype": "string"}, {"name": "target", "sequence": "string"}, {"name": "ctx", "dtype": "string"}] | {} |
dgambettavuw/D_gen5_run0_llama2-7b_xlsum_doc1000_real64_synt64_vuw | default | 0 | 76 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-18T14:10:26 | 2024-12-18T14:10:30 | [{"name": "id", "dtype": "int64"}, {"name": "doc", "dtype": "string"}] | {} |
Corran/testds | default | 0 | 34 | ["size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-31T21:53:57 | 2024-12-31T21:53:58 | [{"name": "sentence", "dtype": "string"}, {"name": "pred", "dtype": "string"}, {"name": "years", "dtype": "int64"}, {"name": "__index_level_0__", "dtype": "int64"}] | {} |
NeelNanda/pile-tokenized-10b | default | 1 | 67 | ["size_categories:10M<n<100M", "format:parquet", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-01-24T17:14:07 | 2023-01-24T20:52:44 | [{"name": "tokens", "sequence": "uint16"}] | {} |
bshada/infinity-hw-vision-finetune_8192 | default | 0 | 38 | ["size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-07-19T04:26:00 | 2024-08-30T21:15:21 | [{"name": "messages", "list": [{"name": "content", "list": [{"name": "index", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "type", "dtype": "string"}]}, {"name": "role", "dtype": "string"}]}, {"name": "images", "sequence": "image"}] | {} |
Arwenxu/dataset_cadquery | default | 1 | 38 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2025-01-09T07:29:10 | 2025-01-09T07:29:15 | [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}] | {} |
LuckyLukke/NEGOTIO_evaluate_evaluator_8B_2 | default | 0 | 37 | ["size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-06T12:41:02 | 2024-12-06T12:57:25 | [{"name": "id", "dtype": "int64"}, {"name": "starting_agent", "dtype": "int64"}, {"name": "game", "dtype": "string"}, {"name": "trajectory_starter", "dtype": "string"}, {"name": "trajectory_responder", "dtype": "string"}, {"name": "model_agent_1", "dtype": "string"}, {"name": "model_agent_2", "dtype": "string"}, {"name": "rent", "dtype": "string"}, {"name": "response", "dtype": "string"}] | {} |
nongiga/nt_multispecies_1048576 | default | 0 | 90 | ["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-02-19T23:41:18 | 2024-02-20T23:49:24 | [{"name": "sequence", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "start_pos", "dtype": "int32"}, {"name": "end_pos", "dtype": "int32"}, {"name": "fasta_url", "dtype": "string"}] | {} |
datacomp/imagenet-1k-random-40.0-frac-1over8 | default | 0 | 24 | ["size_categories:100K<n<1M", "format:parquet", "modality:image", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2025-01-10T11:40:38 | 2025-01-14T03:49:35 | [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "tench, Tinca tinca", "1": "goldfish, Carassius auratus", "2": "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias", "3": "tiger shark, Galeocerdo cuvieri", "4": "hammerhead, hammerhead shark", "5": "electric ray, crampfish, numbfish, torpedo", "6": "stingray", "7": "cock", "8": "hen", "9": "ostrich, Struthio camelus", "10": "brambling, Fringilla montifringilla", "11": "goldfinch, Carduelis carduelis", "12": "house finch, linnet, Carpodacus mexicanus", "13": "junco, snowbird", "14": "indigo bunting, indigo finch, indigo bird, Passerina cyanea", "15": "robin, American robin, Turdus migratorius", "16": "bulbul", "17": "jay", "18": "magpie", "19": "chickadee", "20": "water ouzel, dipper", "21": "kite", "22": "bald eagle, American eagle, Haliaeetus leucocephalus", "23": "vulture", "24": "great grey owl, great gray owl, Strix nebulosa", "25": "European fire salamander, Salamandra salamandra", "26": "common newt, Triturus vulgaris", "27": "eft", "28": "spotted salamander, Ambystoma maculatum", "29": "axolotl, mud puppy, Ambystoma mexicanum", "30": "bullfrog, Rana catesbeiana", "31": "tree frog, tree-frog", "32": "tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui", "33": "loggerhead, loggerhead turtle, Caretta caretta", "34": "leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea", "35": "mud turtle", "36": "terrapin", "37": "box turtle, box tortoise", "38": "banded gecko", "39": "common iguana, iguana, Iguana iguana", "40": "American chameleon, anole, Anolis carolinensis", "41": "whiptail, whiptail lizard", "42": "agama", "43": "frilled lizard, Chlamydosaurus kingi", "44": "alligator lizard", "45": "Gila monster, Heloderma suspectum", "46": "green lizard, Lacerta viridis", "47": "African chameleon, Chamaeleo chamaeleon", "48": "Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis", "49": "African crocodile, Nile crocodile, Crocodylus niloticus", "50": "American alligator, Alligator mississipiensis", "51": "triceratops", "52": "thunder snake, worm snake, Carphophis amoenus", "53": "ringneck snake, ring-necked snake, ring snake", "54": "hognose snake, puff adder, sand viper", "55": "green snake, grass snake", "56": "king snake, kingsnake", "57": "garter snake, grass snake", "58": "water snake", "59": "vine snake", "60": "night snake, Hypsiglena torquata", "61": "boa constrictor, Constrictor constrictor", "62": "rock python, rock snake, Python sebae", "63": "Indian cobra, Naja naja", "64": "green mamba", "65": "sea snake", "66": "horned viper, cerastes, sand viper, horned asp, Cerastes cornutus", "67": "diamondback, diamondback rattlesnake, Crotalus adamanteus", "68": "sidewinder, horned rattlesnake, Crotalus cerastes", "69": "trilobite", "70": "harvestman, daddy longlegs, Phalangium opilio", "71": "scorpion", "72": "black and gold garden spider, Argiope aurantia", "73": "barn spider, Araneus cavaticus", "74": "garden spider, Aranea diademata", "75": "black widow, Latrodectus mactans", "76": "tarantula", "77": "wolf spider, hunting spider", "78": "tick", "79": "centipede", "80": "black grouse", "81": "ptarmigan", "82": "ruffed grouse, partridge, Bonasa umbellus", "83": "prairie chicken, prairie grouse, prairie fowl", "84": "peacock", "85": "quail", "86": "partridge", "87": "African grey, African gray, Psittacus erithacus", "88": "macaw", "89": "sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita", "90": "lorikeet", "91": "coucal", "92": "bee eater", "93": "hornbill", "94": "hummingbird", "95": "jacamar", "96": "toucan", "97": "drake", "98": "red-breasted merganser, Mergus serrator", "99": "goose", "100": "black swan, Cygnus atratus", "101": "tusker", "102": "echidna, spiny anteater, anteater", "103": "platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus", "104": "wallaby, brush kangaroo", "105": "koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus", "106": "wombat", "107": "jellyfish", "108": "sea anemone, anemone", "109": "brain coral", "110": "flatworm, platyhelminth", "111": "nematode, nematode worm, roundworm", "112": "conch", "113": "snail", "114": "slug", "115": "sea slug, nudibranch", "116": "chiton, coat-of-mail shell, sea cradle, polyplacophore", "117": "chambered nautilus, pearly nautilus, nautilus", "118": "Dungeness crab, Cancer magister", "119": "rock crab, Cancer irroratus", "120": "fiddler crab", "121": "king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica", "122": "American lobster, Northern lobster, Maine lobster, Homarus americanus", "123": "spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish", "124": "crayfish, crawfish, crawdad, crawdaddy", "125": "hermit crab", "126": "isopod", "127": "white stork, Ciconia ciconia", "128": "black stork, Ciconia nigra", "129": "spoonbill", "130": "flamingo", "131": "little blue heron, Egretta caerulea", "132": "American egret, great white heron, Egretta albus", "133": "bittern", "134": "crane", "135": "limpkin, Aramus pictus", "136": "European gallinule, Porphyrio porphyrio", "137": "American coot, marsh hen, mud hen, water hen, Fulica americana", "138": "bustard", "139": "ruddy turnstone, Arenaria interpres", "140": "red-backed sandpiper, dunlin, Erolia alpina", "141": "redshank, Tringa totanus", "142": "dowitcher", "143": "oystercatcher, oyster catcher", "144": "pelican", "145": "king penguin, Aptenodytes patagonica", "146": "albatross, mollymawk", "147": "grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus", "148": "killer whale, killer, orca, grampus, sea wolf, Orcinus orca", "149": "dugong, Dugong dugon", "150": "sea lion", "151": "Chihuahua", "152": "Japanese spaniel", "153": "Maltese dog, Maltese terrier, Maltese", "154": "Pekinese, Pekingese, Peke", "155": "Shih-Tzu", "156": "Blenheim spaniel", "157": "papillon", "158": "toy terrier", "159": "Rhodesian ridgeback", "160": "Afghan hound, Afghan", "161": "basset, basset hound", "162": "beagle", "163": "bloodhound, sleuthhound", "164": "bluetick", "165": "black-and-tan coonhound", "166": "Walker hound, Walker foxhound", "167": "English foxhound", "168": "redbone", "169": "borzoi, Russian wolfhound", "170": "Irish wolfhound", "171": "Italian greyhound", "172": "whippet", "173": "Ibizan hound, Ibizan Podenco", "174": "Norwegian elkhound, elkhound", "175": "otterhound, otter hound", "176": "Saluki, gazelle hound", "177": "Scottish deerhound, deerhound", "178": "Weimaraner", "179": "Staffordshire bullterrier, Staffordshire bull terrier", "180": "American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier", "181": "Bedlington terrier", "182": "Border terrier", "183": "Kerry blue terrier", "184": "Irish terrier", "185": "Norfolk terrier", "186": "Norwich terrier", "187": "Yorkshire terrier", "188": "wire-haired fox terrier", "189": "Lakeland terrier", "190": "Sealyham terrier, Sealyham", "191": "Airedale, Airedale terrier", "192": "cairn, cairn terrier", "193": "Australian terrier", "194": "Dandie Dinmont, Dandie Dinmont terrier", "195": "Boston bull, Boston terrier", "196": "miniature schnauzer", "197": "giant schnauzer", "198": "standard schnauzer", "199": "Scotch terrier, Scottish terrier, Scottie", "200": "Tibetan terrier, chrysanthemum dog", "201": "silky terrier, Sydney silky", "202": "soft-coated wheaten terrier", "203": "West Highland white terrier", "204": "Lhasa, Lhasa apso", "205": "flat-coated retriever", "206": "curly-coated retriever", "207": "golden retriever", "208": "Labrador retriever", "209": "Chesapeake Bay retriever", "210": "German short-haired pointer", "211": "vizsla, Hungarian pointer", "212": "English setter", "213": "Irish setter, red setter", "214": "Gordon setter", "215": "Brittany spaniel", "216": "clumber, clumber spaniel", "217": "English springer, English springer spaniel", "218": "Welsh springer spaniel", "219": "cocker spaniel, English cocker spaniel, cocker", "220": "Sussex spaniel", "221": "Irish water spaniel", "222": "kuvasz", "223": "schipperke", "224": "groenendael", "225": "malinois", "226": "briard", "227": "kelpie", "228": "komondor", "229": "Old English sheepdog, bobtail", "230": "Shetland sheepdog, Shetland sheep dog, Shetland", "231": "collie", "232": "Border collie", "233": "Bouvier des Flandres, Bouviers des Flandres", "234": "Rottweiler", "235": "German shepherd, German shepherd dog, German police dog, alsatian", "236": "Doberman, Doberman pinscher", "237": "miniature pinscher", "238": "Greater Swiss Mountain dog", "239": "Bernese mountain dog", "240": "Appenzeller", "241": "EntleBucher", "242": "boxer", "243": "bull mastiff", "244": "Tibetan mastiff", "245": "French bulldog", "246": "Great Dane", "247": "Saint Bernard, St Bernard", "248": "Eskimo dog, husky", "249": "malamute, malemute, Alaskan malamute", "250": "Siberian husky", "251": "dalmatian, coach dog, carriage dog", "252": "affenpinscher, monkey pinscher, monkey dog", "253": "basenji", "254": "pug, pug-dog", "255": "Leonberg", "256": "Newfoundland, Newfoundland dog", "257": "Great Pyrenees", "258": "Samoyed, Samoyede", "259": "Pomeranian", "260": "chow, chow chow", "261": "keeshond", "262": "Brabancon griffon", "263": "Pembroke, Pembroke Welsh corgi", "264": "Cardigan, Cardigan Welsh corgi", "265": "toy poodle", "266": "miniature poodle", "267": "standard poodle", "268": "Mexican hairless", "269": "timber wolf, grey wolf, gray wolf, Canis lupus", "270": "white wolf, Arctic wolf, Canis lupus tundrarum", "271": "red wolf, maned wolf, Canis rufus, Canis niger", "272": "coyote, prairie wolf, brush wolf, Canis latrans", "273": "dingo, warrigal, warragal, Canis dingo", "274": "dhole, Cuon alpinus", "275": "African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus", "276": "hyena, hyaena", "277": "red fox, Vulpes vulpes", "278": "kit fox, Vulpes macrotis", "279": "Arctic fox, white fox, Alopex lagopus", "280": "grey fox, gray fox, Urocyon cinereoargenteus", "281": "tabby, tabby cat", "282": "tiger cat", "283": "Persian cat", "284": "Siamese cat, Siamese", "285": "Egyptian cat", "286": "cougar, puma, catamount, mountain lion, painter, panther, Felis concolor", "287": "lynx, catamount", "288": "leopard, Panthera pardus", "289": "snow leopard, ounce, Panthera uncia", "290": "jaguar, panther, Panthera onca, Felis onca", "291": "lion, king of beasts, Panthera leo", "292": "tiger, Panthera tigris", "293": "cheetah, chetah, Acinonyx jubatus", "294": "brown bear, bruin, Ursus arctos", "295": "American black bear, black bear, Ursus americanus, Euarctos americanus", "296": "ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus", "297": "sloth bear, Melursus ursinus, Ursus ursinus", "298": "mongoose", "299": "meerkat, mierkat", "300": "tiger beetle", "301": "ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle", "302": "ground beetle, carabid beetle", "303": "long-horned beetle, longicorn, longicorn beetle", "304": "leaf beetle, chrysomelid", "305": "dung beetle", "306": "rhinoceros beetle", "307": "weevil", "308": "fly", "309": "bee", "310": "ant, emmet, pismire", "311": "grasshopper, hopper", "312": "cricket", "313": "walking stick, walkingstick, stick insect", "314": "cockroach, roach", "315": "mantis, mantid", "316": "cicada, cicala", "317": "leafhopper", "318": "lacewing, lacewing fly", "319": "dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk", "320": "damselfly", "321": "admiral", "322": "ringlet, ringlet butterfly", "323": "monarch, monarch butterfly, milkweed butterfly, Danaus plexippus", "324": "cabbage butterfly", "325": "sulphur butterfly, sulfur butterfly", "326": "lycaenid, lycaenid butterfly", "327": "starfish, sea star", "328": "sea urchin", "329": "sea cucumber, holothurian", "330": "wood rabbit, cottontail, cottontail rabbit", "331": "hare", "332": "Angora, Angora rabbit", "333": "hamster", "334": "porcupine, hedgehog", "335": "fox squirrel, eastern fox squirrel, Sciurus niger", "336": "marmot", "337": "beaver", "338": "guinea pig, Cavia cobaya", "339": "sorrel", "340": "zebra", "341": "hog, pig, grunter, squealer, Sus scrofa", "342": "wild boar, boar, Sus scrofa", "343": "warthog", "344": "hippopotamus, hippo, river horse, Hippopotamus amphibius", "345": "ox", "346": "water buffalo, water ox, Asiatic buffalo, Bubalus bubalis", "347": "bison", "348": "ram, tup", "349": "bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis", "350": "ibex, Capra ibex", "351": "hartebeest", "352": "impala, Aepyceros melampus", "353": "gazelle", "354": "Arabian camel, dromedary, Camelus dromedarius", "355": "llama", "356": "weasel", "357": "mink", "358": "polecat, fitch, foulmart, foumart, Mustela putorius", "359": "black-footed ferret, ferret, Mustela nigripes", "360": "otter", "361": "skunk, polecat, wood pussy", "362": "badger", "363": "armadillo", "364": "three-toed sloth, ai, Bradypus tridactylus", "365": "orangutan, orang, orangutang, Pongo pygmaeus", "366": "gorilla, Gorilla gorilla", "367": "chimpanzee, chimp, Pan troglodytes", "368": "gibbon, Hylobates lar", "369": "siamang, Hylobates syndactylus, Symphalangus syndactylus", "370": "guenon, guenon monkey", "371": "patas, hussar monkey, Erythrocebus patas", "372": "baboon", "373": "macaque", "374": "langur", "375": "colobus, colobus monkey", "376": "proboscis monkey, Nasalis larvatus", "377": "marmoset", "378": "capuchin, ringtail, Cebus capucinus", "379": "howler monkey, howler", "380": "titi, titi monkey", "381": "spider monkey, Ateles geoffroyi", "382": "squirrel monkey, Saimiri sciureus", "383": "Madagascar cat, ring-tailed lemur, Lemur catta", "384": "indri, indris, Indri indri, Indri brevicaudatus", "385": "Indian elephant, Elephas maximus", "386": "African elephant, Loxodonta africana", "387": "lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens", "388": "giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca", "389": "barracouta, snoek", "390": "eel", "391": "coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch", "392": "rock beauty, Holocanthus tricolor", "393": "anemone fish", "394": "sturgeon", "395": "gar, garfish, garpike, billfish, Lepisosteus osseus", "396": "lionfish", "397": "puffer, pufferfish, blowfish, globefish", "398": "abacus", "399": "abaya", "400": "academic gown, academic robe, judge's robe", "401": "accordion, piano accordion, squeeze box", "402": "acoustic guitar", "403": "aircraft carrier, carrier, flattop, attack aircraft carrier", "404": "airliner", "405": "airship, dirigible", "406": "altar", "407": "ambulance", "408": "amphibian, amphibious vehicle", "409": "analog clock", "410": "apiary, bee house", "411": "apron", "412": "ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin", "413": "assault rifle, assault gun", "414": "backpack, back pack, knapsack, packsack, rucksack, haversack", "415": "bakery, bakeshop, bakehouse", "416": "balance beam, beam", "417": "balloon", "418": "ballpoint, ballpoint pen, ballpen, Biro", "419": "Band Aid", "420": "banjo", "421": "bannister, banister, balustrade, balusters, handrail", "422": "barbell", "423": "barber chair", "424": "barbershop", "425": "barn", "426": "barometer", "427": "barrel, cask", "428": "barrow, garden cart, lawn cart, wheelbarrow", "429": "baseball", "430": "basketball", "431": "bassinet", "432": "bassoon", "433": "bathing cap, swimming cap", "434": "bath towel", "435": "bathtub, bathing tub, bath, tub", "436": "beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon", "437": "beacon, lighthouse, beacon light, pharos", "438": "beaker", "439": "bearskin, busby, shako", "440": "beer bottle", "441": "beer glass", "442": "bell cote, bell cot", "443": "bib", "444": "bicycle-built-for-two, tandem bicycle, tandem", "445": "bikini, two-piece", "446": "binder, ring-binder", "447": "binoculars, field glasses, opera glasses", "448": "birdhouse", "449": "boathouse", "450": "bobsled, bobsleigh, bob", "451": "bolo tie, bolo, bola tie, bola", "452": "bonnet, poke bonnet", "453": "bookcase", "454": "bookshop, bookstore, bookstall", "455": "bottlecap", "456": "bow", "457": "bow tie, bow-tie, bowtie", "458": "brass, memorial tablet, plaque", "459": "brassiere, bra, bandeau", "460": "breakwater, groin, groyne, mole, bulwark, seawall, jetty", "461": "breastplate, aegis, egis", "462": "broom", "463": "bucket, pail", "464": "buckle", "465": "bulletproof vest", "466": "bullet train, bullet", "467": "butcher shop, meat market", "468": "cab, hack, taxi, taxicab", "469": "caldron, cauldron", "470": "candle, taper, wax light", "471": "cannon", "472": "canoe", "473": "can opener, tin opener", "474": "cardigan", "475": "car mirror", "476": "carousel, carrousel, merry-go-round, roundabout, whirligig", "477": "carpenter's kit, tool kit", "478": "carton", "479": "car wheel", "480": "cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM", "481": "cassette", "482": "cassette player", "483": "castle", "484": "catamaran", "485": "CD player", "486": "cello, violoncello", "487": "cellular telephone, cellular phone, cellphone, cell, mobile phone", "488": "chain", "489": "chainlink fence", "490": "chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour", "491": "chain saw, chainsaw", "492": "chest", "493": "chiffonier, commode", "494": "chime, bell, gong", "495": "china cabinet, china closet", "496": "Christmas stocking", "497": "church, church building", "498": "cinema, movie theater, movie theatre, movie house, picture palace", "499": "cleaver, meat cleaver, chopper", "500": "cliff dwelling", "501": "cloak", "502": "clog, geta, patten, sabot", "503": "cocktail shaker", "504": "coffee mug", "505": "coffeepot", "506": "coil, spiral, volute, whorl, helix", "507": "combination lock", "508": "computer keyboard, keypad", "509": "confectionery, confectionary, candy store", "510": "container ship, containership, container vessel", "511": "convertible", "512": "corkscrew, bottle screw", "513": "cornet, horn, trumpet, trump", "514": "cowboy boot", "515": "cowboy hat, ten-gallon hat", "516": "cradle", "517": "crane2", "518": "crash helmet", "519": "crate", "520": "crib, cot", "521": "Crock Pot", "522": "croquet ball", "523": "crutch", "524": "cuirass", "525": "dam, dike, dyke", "526": "desk", "527": "desktop computer", "528": "dial telephone, dial phone", "529": "diaper, nappy, napkin", "530": "digital clock", "531": "digital watch", "532": "dining table, board", "533": "dishrag, dishcloth", "534": "dishwasher, dish washer, dishwashing machine", "535": "disk brake, disc brake", "536": "dock, dockage, docking facility", "537": "dogsled, dog sled, dog sleigh", "538": "dome", "539": "doormat, welcome mat", "540": "drilling platform, offshore rig", "541": "drum, membranophone, tympan", "542": "drumstick", "543": "dumbbell", "544": "Dutch oven", "545": "electric fan, blower", "546": "electric guitar", "547": "electric locomotive", "548": "entertainment center", "549": "envelope", "550": "espresso maker", "551": "face powder", "552": "feather boa, boa", "553": "file, file cabinet, filing cabinet", "554": "fireboat", "555": "fire engine, fire truck", "556": "fire screen, fireguard", "557": "flagpole, flagstaff", "558": "flute, transverse flute", "559": "folding chair", "560": "football helmet", "561": "forklift", "562": "fountain", "563": "fountain pen", "564": "four-poster", "565": "freight car", "566": "French horn, horn", "567": "frying pan, frypan, skillet", "568": "fur coat", "569": "garbage truck, dustcart", "570": "gasmask, respirator, gas helmet", "571": "gas pump, gasoline pump, petrol pump, island dispenser", "572": "goblet", "573": "go-kart", "574": "golf ball", "575": "golfcart, golf cart", "576": "gondola", "577": "gong, tam-tam", "578": "gown", "579": "grand piano, grand", "580": "greenhouse, nursery, glasshouse", "581": "grille, radiator grille", "582": "grocery store, grocery, food market, market", "583": "guillotine", "584": "hair slide", "585": "hair spray", "586": "half track", "587": "hammer", "588": "hamper", "589": "hand blower, blow dryer, blow drier, hair dryer, hair drier", "590": "hand-held computer, hand-held microcomputer", "591": "handkerchief, hankie, hanky, hankey", "592": "hard disc, hard disk, fixed disk", "593": "harmonica, mouth organ, harp, mouth harp", "594": "harp", "595": "harvester, reaper", "596": "hatchet", "597": "holster", "598": "home theater, home theatre", "599": "honeycomb", "600": "hook, claw", "601": "hoopskirt, crinoline", "602": "horizontal bar, high bar", "603": "horse cart, horse-cart", "604": "hourglass", "605": "iPod", "606": "iron, smoothing iron", "607": "jack-o'-lantern", "608": "jean, blue jean, denim", "609": "jeep, landrover", "610": "jersey, T-shirt, tee shirt", "611": "jigsaw puzzle", "612": "jinrikisha, ricksha, rickshaw", "613": "joystick", "614": "kimono", "615": "knee pad", "616": "knot", "617": "lab coat, laboratory coat", "618": "ladle", "619": "lampshade, lamp shade", "620": "laptop, laptop computer", "621": "lawn mower, mower", "622": "lens cap, lens cover", "623": "letter opener, paper knife, paperknife", "624": "library", "625": "lifeboat", "626": "lighter, light, igniter, ignitor", "627": "limousine, limo", "628": "liner, ocean liner", "629": "lipstick, lip rouge", "630": "Loafer", "631": "lotion", "632": "loudspeaker, speaker, speaker unit, loudspeaker system, speaker system", "633": "loupe, jeweler's loupe", "634": "lumbermill, sawmill", "635": "magnetic compass", "636": "mailbag, postbag", "637": "mailbox, letter box", "638": "maillot", "639": "maillot, tank suit", "640": "manhole cover", "641": "maraca", "642": "marimba, xylophone", "643": "mask", "644": "matchstick", "645": "maypole", "646": "maze, labyrinth", "647": "measuring cup", "648": "medicine chest, medicine cabinet", "649": "megalith, megalithic structure", "650": "microphone, mike", "651": "microwave, microwave oven", "652": "military uniform", "653": "milk can", "654": "minibus", "655": "miniskirt, mini", "656": "minivan", "657": "missile", "658": "mitten", "659": "mixing bowl", "660": "mobile home, manufactured home", "661": "Model T", "662": "modem", "663": "monastery", "664": "monitor", "665": "moped", "666": "mortar", "667": "mortarboard", "668": "mosque", "669": "mosquito net", "670": "motor scooter, scooter", "671": "mountain bike, all-terrain bike, off-roader", "672": "mountain tent", "673": "mouse, computer mouse", "674": "mousetrap", "675": "moving van", "676": "muzzle", "677": "nail", "678": "neck brace", "679": "necklace", "680": "nipple", "681": "notebook, notebook computer", "682": "obelisk", "683": "oboe, hautboy, hautbois", "684": "ocarina, sweet potato", "685": "odometer, hodometer, mileometer, milometer", "686": "oil filter", "687": "organ, pipe organ", "688": "oscilloscope, scope, cathode-ray oscilloscope, CRO", "689": "overskirt", "690": "oxcart", "691": "oxygen mask", "692": "packet", "693": "paddle, boat paddle", "694": "paddlewheel, paddle wheel", "695": "padlock", "696": "paintbrush", "697": "pajama, pyjama, pj's, jammies", "698": "palace", "699": "panpipe, pandean pipe, syrinx", "700": "paper towel", "701": "parachute, chute", "702": "parallel bars, bars", "703": "park bench", "704": "parking meter", "705": "passenger car, coach, carriage", "706": "patio, terrace", "707": "pay-phone, pay-station", "708": "pedestal, plinth, footstall", "709": "pencil box, pencil case", "710": "pencil sharpener", "711": "perfume, essence", "712": "Petri dish", "713": "photocopier", "714": "pick, plectrum, plectron", "715": "pickelhaube", "716": "picket fence, paling", "717": "pickup, pickup truck", "718": "pier", "719": "piggy bank, penny bank", "720": "pill bottle", "721": "pillow", "722": "ping-pong ball", "723": "pinwheel", "724": "pirate, pirate ship", "725": "pitcher, ewer", "726": "plane, carpenter's plane, woodworking plane", "727": "planetarium", "728": "plastic bag", "729": "plate rack", "730": "plow, plough", "731": "plunger, plumber's helper", "732": "Polaroid camera, Polaroid Land camera", "733": "pole", "734": "police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria", "735": "poncho", "736": "pool table, billiard table, snooker table", "737": "pop bottle, soda bottle", "738": "pot, flowerpot", "739": "potter's wheel", "740": "power drill", "741": "prayer rug, prayer mat", "742": "printer", "743": "prison, prison house", "744": "projectile, missile", "745": "projector", "746": "puck, hockey puck", "747": "punching bag, punch bag, punching ball, punchball", "748": "purse", "749": "quill, quill pen", "750": "quilt, comforter, comfort, puff", "751": "racer, race car, racing car", "752": "racket, racquet", "753": "radiator", "754": "radio, wireless", "755": "radio telescope, radio reflector", "756": "rain barrel", "757": "recreational vehicle, RV, R.V.", "758": "reel", "759": "reflex camera", "760": "refrigerator, icebox", "761": "remote control, remote", "762": "restaurant, eating house, eating place, eatery", "763": "revolver, six-gun, six-shooter", "764": "rifle", "765": "rocking chair, rocker", "766": "rotisserie", "767": "rubber eraser, rubber, pencil eraser", "768": "rugby ball", "769": "rule, ruler", "770": "running shoe", "771": "safe", "772": "safety pin", "773": "saltshaker, salt shaker", "774": "sandal", "775": "sarong", "776": "sax, saxophone", "777": "scabbard", "778": "scale, weighing machine", "779": "school bus", "780": "schooner", "781": "scoreboard", "782": "screen, CRT screen", "783": "screw", "784": "screwdriver", "785": "seat belt, seatbelt", "786": "sewing machine", "787": "shield, buckler", "788": "shoe shop, shoe-shop, shoe store", "789": "shoji", "790": "shopping basket", "791": "shopping cart", "792": "shovel", "793": "shower cap", "794": "shower curtain", "795": "ski", "796": "ski mask", "797": "sleeping bag", "798": "slide rule, slipstick", "799": "sliding door", "800": "slot, one-armed bandit", "801": "snorkel", "802": "snowmobile", "803": "snowplow, snowplough", "804": "soap dispenser", "805": "soccer ball", "806": "sock", "807": "solar dish, solar collector, solar furnace", "808": "sombrero", "809": "soup bowl", "810": "space bar", "811": "space heater", "812": "space shuttle", "813": "spatula", "814": "speedboat", "815": "spider web, spider's web", "816": "spindle", "817": "sports car, sport car", "818": "spotlight, spot", "819": "stage", "820": "steam locomotive", "821": "steel arch bridge", "822": "steel drum", "823": "stethoscope", "824": "stole", "825": "stone wall", "826": "stopwatch, stop watch", "827": "stove", "828": "strainer", "829": "streetcar, tram, tramcar, trolley, trolley car", "830": "stretcher", "831": "studio couch, day bed", "832": "stupa, tope", "833": "submarine, pigboat, sub, U-boat", "834": "suit, suit of clothes", "835": "sundial", "836": "sunglass", "837": "sunglasses, dark glasses, shades", "838": "sunscreen, sunblock, sun blocker", "839": "suspension bridge", "840": "swab, swob, mop", "841": "sweatshirt", "842": "swimming trunks, bathing trunks", "843": "swing", "844": "switch, electric switch, electrical switch", "845": "syringe", "846": "table lamp", "847": "tank, army tank, armored combat vehicle, armoured combat vehicle", "848": "tape player", "849": "teapot", "850": "teddy, teddy bear", "851": "television, television system", "852": "tennis ball", "853": "thatch, thatched roof", "854": "theater curtain, theatre curtain", "855": "thimble", "856": "thresher, thrasher, threshing machine", "857": "throne", "858": "tile roof", "859": "toaster", "860": "tobacco shop, tobacconist shop, tobacconist", "861": "toilet seat", "862": "torch", "863": "totem pole", "864": "tow truck, tow car, wrecker", "865": "toyshop", "866": "tractor", "867": "trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi", "868": "tray", "869": "trench coat", "870": "tricycle, trike, velocipede", "871": "trimaran", "872": "tripod", "873": "triumphal arch", "874": "trolleybus, trolley coach, trackless trolley", "875": "trombone", "876": "tub, vat", "877": "turnstile", "878": "typewriter keyboard", "879": "umbrella", "880": "unicycle, monocycle", "881": "upright, upright piano", "882": "vacuum, vacuum cleaner", "883": "vase", "884": "vault", "885": "velvet", "886": "vending machine", "887": "vestment", "888": "viaduct", "889": "violin, fiddle", "890": "volleyball", "891": "waffle iron", "892": "wall clock", "893": "wallet, billfold, notecase, pocketbook", "894": "wardrobe, closet, press", "895": "warplane, military plane", "896": "washbasin, handbasin, washbowl, lavabo, wash-hand basin", "897": "washer, automatic washer, washing machine", "898": "water bottle", "899": "water jug", "900": "water tower", "901": "whiskey jug", "902": "whistle", "903": "wig", "904": "window screen", "905": "window shade", "906": "Windsor tie", "907": "wine bottle", "908": "wing", "909": "wok", "910": "wooden spoon", "911": "wool, woolen, woollen", "912": "worm fence, snake fence, snake-rail fence, Virginia fence", "913": "wreck", "914": "yawl", "915": "yurt", "916": "web site, website, internet site, site", "917": "comic book", "918": "crossword puzzle, crossword", "919": "street sign", "920": "traffic light, traffic signal, stoplight", "921": "book jacket, dust cover, dust jacket, dust wrapper", "922": "menu", "923": "plate", "924": "guacamole", "925": "consomme", "926": "hot pot, hotpot", "927": "trifle", "928": "ice cream, icecream", "929": "ice lolly, lolly, lollipop, popsicle", "930": "French loaf", "931": "bagel, beigel", "932": "pretzel", "933": "cheeseburger", "934": "hotdog, hot dog, red hot", "935": "mashed potato", "936": "head cabbage", "937": "broccoli", "938": "cauliflower", "939": "zucchini, courgette", "940": "spaghetti squash", "941": "acorn squash", "942": "butternut squash", "943": "cucumber, cuke", "944": "artichoke, globe artichoke", "945": "bell pepper", "946": "cardoon", "947": "mushroom", "948": "Granny Smith", "949": "strawberry", "950": "orange", "951": "lemon", "952": "fig", "953": "pineapple, ananas", "954": "banana", "955": "jackfruit, jak, jack", "956": "custard apple", "957": "pomegranate", "958": "hay", "959": "carbonara", "960": "chocolate sauce, chocolate syrup", "961": "dough", "962": "meat loaf, meatloaf", "963": "pizza, pizza pie", "964": "potpie", "965": "burrito", "966": "red wine", "967": "espresso", "968": "cup", "969": "eggnog", "970": "alp", "971": "bubble", "972": "cliff, drop, drop-off", "973": "coral reef", "974": "geyser", "975": "lakeside, lakeshore", "976": "promontory, headland, head, foreland", "977": "sandbar, sand bar", "978": "seashore, coast, seacoast, sea-coast", "979": "valley, vale", "980": "volcano", "981": "ballplayer, baseball player", "982": "groom, bridegroom", "983": "scuba diver", "984": "rapeseed", "985": "daisy", "986": "yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum", "987": "corn", "988": "acorn", "989": "hip, rose hip, rosehip", "990": "buckeye, horse chestnut, conker", "991": "coral fungus", "992": "agaric", "993": "gyromitra", "994": "stinkhorn, carrion fungus", "995": "earthstar", "996": "hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa", "997": "bolete", "998": "ear, spike, capitulum", "999": "toilet tissue, toilet paper, bathroom tissue"}}}}] | {} |
dvilasuero/mmmlu-pro-eval-Qwen2.5-72B-Instruct-no-cot | default | 0 | 34 | ["size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "library:distilabel", "region:us", "synthetic", "distilabel", "rlaif"] | null | null | 2024-10-11T20:10:18 | 2024-10-11T20:38:36 | [{"name": "question_id", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "options", "sequence": "string"}, {"name": "answer", "dtype": "string"}, {"name": "answer_index", "dtype": "int64"}, {"name": "cot_content", "dtype": "string"}, {"name": "category", "dtype": "string"}, {"name": "src", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "distilabel_metadata", "struct": [{"name": "raw_input_text_generation_0", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "raw_output_text_generation_0", "dtype": "string"}]}, {"name": "model_name", "dtype": "string"}] | {} |
mserras/alpaca-es-hackaton-backup | default | 0 | 39 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-04-06T09:03:49 | 2023-04-06T09:18:45 | [{"name": "text", "dtype": "null"}, {"name": "inputs", "struct": [{"name": "1-instruction", "dtype": "string"}, {"name": "2-input", "dtype": "string"}, {"name": "3-output", "dtype": "string"}]}, {"name": "prediction", "dtype": "null"}, {"name": "prediction_agent", "dtype": "null"}, {"name": "annotation", "sequence": "string"}, {"name": "annotation_agent", "dtype": "null"}, {"name": "vectors", "struct": [{"name": "input", "sequence": "float64"}, {"name": "instruction", "sequence": "float64"}, {"name": "output", "sequence": "float64"}]}, {"name": "multi_label", "dtype": "bool"}, {"name": "explanation", "dtype": "null"}, {"name": "id", "dtype": "string"}, {"name": "metadata", "struct": [{"name": "tr-flag-1-instruction", "dtype": "bool"}, {"name": "tr-flag-2-input", "dtype": "bool"}, {"name": "tr-flag-3-output", "dtype": "bool"}]}, {"name": "status", "dtype": "string"}, {"name": "event_timestamp", "dtype": "timestamp[us]"}, {"name": "metrics", "dtype": "null"}] | {} |
yujeonggg/QA-Dataset-mini | default | 0 | 30 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-08-13T22:00:16 | 2024-08-13T22:02:10 | [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}] | {} |
simonbutt/amharic_truthful_qa | default | 0 | 35 | ["language:am", "language:en", "license:apache-2.0", "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | ["am", "en"] | "apache-2.0" | 2024-04-26T10:56:48 | 2024-04-26T11:20:45 | [{"name": "question", "dtype": "string"}, {"name": "am_question", "dtype": "string"}, {"name": "mc1_targets", "struct": [{"name": "choices", "sequence": "string"}, {"name": "labels", "sequence": "int64"}]}, {"name": "am_mc1_targets", "struct": [{"name": "choices", "sequence": "string"}, {"name": "labels", "sequence": "int64"}]}] | {} |
jwigginton/eps-trend-sp500 | default | 0 | 30 | ["size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-02-27T13:30:36 | 2024-03-12T06:38:55 | [{"name": "symbol", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "current_qtr", "dtype": "string"}, {"name": "current_estimate_current_qtr", "dtype": "float64"}, {"name": "next_qtr", "dtype": "string"}, {"name": "current_estimate_next_qtr", "dtype": "float64"}, {"name": "current_year", "dtype": "int64"}, {"name": "current_estimate_current_year", "dtype": "float64"}, {"name": "next_year", "dtype": "int64"}, {"name": "current_estimate_next_year", "dtype": "float64"}, {"name": "7_days_ago_current_qtr", "dtype": "float64"}, {"name": "7_days_ago_next_qtr", "dtype": "float64"}, {"name": "7_days_ago_current_year", "dtype": "float64"}, {"name": "7_days_ago_next_year", "dtype": "float64"}, {"name": "30_days_ago_current_qtr", "dtype": "float64"}, {"name": "30_days_ago_next_qtr", "dtype": "float64"}, {"name": "30_days_ago_current_year", "dtype": "float64"}, {"name": "30_days_ago_next_year", "dtype": "float64"}, {"name": "60_days_ago_current_qtr", "dtype": "float64"}, {"name": "60_days_ago_next_qtr", "dtype": "float64"}, {"name": "60_days_ago_current_year", "dtype": "float64"}, {"name": "60_days_ago_next_year", "dtype": "float64"}, {"name": "90_days_ago_current_qtr", "dtype": "float64"}, {"name": "90_days_ago_next_qtr", "dtype": "float64"}, {"name": "90_days_ago_current_year", "dtype": "float64"}, {"name": "90_days_ago_next_year", "dtype": "float64"}] | {} |
mask-distilled-libri-one-sec-cv12/chunk_169 | default | 0 | 31 | ["size_categories:10K<n<100K", "format:parquet", "modality:audio", "modality:timeseries", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-05-16T01:30:23 | 2024-05-16T01:30:49 | [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "logits", "sequence": "float32"}] | {} |
davidadamczyk/dataset-name-2 | default | 0 | 32 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-09T13:39:44 | 2024-10-09T13:39:47 | [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}] | {} |
severo/mnist | mnist | 0 | 67 | ["task_categories:image-classification", "task_ids:multi-class-image-classification", "annotations_creators:expert-generated", "language_creators:found", "multilinguality:monolingual", "source_datasets:extended|other-nist", "language:en", "license:mit", "size_categories:10K<n<100K", "region:us"] | ["en"] | ["mit"] | 2022-11-17T16:33:16 | 2022-11-03T16:46:54 | [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "0", "1": "1", "2": "2", "3": "3", "4": "4", "5": "5", "6": "6", "7": "7", "8": "8", "9": "9"}}}}] | {} |
HachiML/OpenMathInstruct-2-CoT-JA | default | 1 | 65 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-12T02:57:25 | 2024-12-12T09:33:50 | [{"name": "problem", "dtype": "string"}, {"name": "generated_solution", "dtype": "string"}, {"name": "expected_answer", "dtype": "string"}, {"name": "problem_source", "dtype": "string"}, {"name": "problem_ja", "dtype": "string"}, {"name": "generated_solution_cot", "dtype": "string"}, {"name": "cot_answer", "dtype": "string"}, {"name": "correct_flg", "dtype": "bool"}] | {} |
distilled-from-one-sec-cv12/chunk_115 | default | 0 | 30 | ["size_categories:100K<n<1M", "format:parquet", "modality:timeseries", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-05-28T22:17:00 | 2023-05-28T22:20:54 | [{"name": "logits", "sequence": "float32"}, {"name": "mfcc", "sequence": {"sequence": "float64"}}] | {} |
Lots-of-LoRAs/task607_sbic_intentional_offense_binary_classification | plain_text | 0 | 41 | ["task_categories:text-generation", "annotations_creators:crowdsourced", "language_creators:crowdsourced", "language:en", "license:apache-2.0", "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "arxiv:2204.07705", "arxiv:2407.00066", "region:us"] | ["en"] | ["apache-2.0"] | 2024-07-02T19:41:55 | 2024-07-16T13:40:50 | [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "id", "dtype": "string"}] | {} |
pourmand1376/isna-news | default | 1 | 153 | ["task_categories:text-generation", "language:fa", "license:apache-2.0", "size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | ["fa"] | "apache-2.0" | 2023-08-02T14:30:40 | 2023-08-19T11:56:01 | [{"name": "TEXT", "dtype": "string"}, {"name": "SOURCE", "dtype": "string"}, {"name": "METADATA", "dtype": "string"}] | {} |
tyzhu/squad_qa_baseline_v5_full_recite_ans_sent_first_permute_rerun | default | 0 | 29 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-02-07T16:35:32 | 2024-02-07T16:35:39 | [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": [{"name": "text", "dtype": "string"}, {"name": "answer_start", "dtype": "int32"}]}, {"name": "answer", "dtype": "string"}, {"name": "context_id", "dtype": "string"}, {"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}] | {} |
ssmmzz/label | default | 0 | 34 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-09-02T13:15:15 | 2024-09-02T13:19:44 | [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}] | {} |
giqu/Combined | default | 0 | 31 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-04-22T15:42:08 | 2024-04-22T15:48:11 | [{"name": "image", "sequence": {"sequence": {"sequence": "uint8"}}}, {"name": "label", "dtype": "string"}] | {} |
liuyanchen1015/MULTI_VALUE_rte_nasal_possessive_pron | default | 0 | 32 | ["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-04-06T18:52:09 | 2023-04-06T18:52:13 | [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}] | {} |
SKT27182/Preprocessed_OpenOrca | default | 1 | 189 | ["task_categories:text-classification", "language:en", "license:mit", "size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "arxiv:2306.02707", "arxiv:2301.13688", "region:us"] | ["en"] | "mit" | 2023-07-17T13:33:52 | 2023-07-25T03:56:32 | [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "length_before_preprocessing", "dtype": "int64"}] | {} |
ZhangShenao/math_gsm-Meta-Llama-3-8B-Instruct-iter3_sample_2500_nsk_ml512 | default | 0 | 23 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2025-01-11T19:40:40 | 2025-01-12T14:31:15 | [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "rational_answer", "dtype": "string"}] | {} |
mountassir/cats | default | 0 | 38 | ["size_categories:1K<n<10K", "format:parquet", "modality:image", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-17T10:13:01 | 2024-11-17T10:13:10 | [{"name": "image", "dtype": "image"}] | {} |
wesleywt/williams_mtb_hpidb | default | 0 | 38 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2022-11-09T09:49:32 | 2022-11-09T09:50:16 | [{"name": "is_interaction", "dtype": "int64"}, {"name": "protein_1.id", "dtype": "string"}, {"name": "protein_1.primary", "dtype": "string"}, {"name": "protein_2.id", "dtype": "string"}, {"name": "protein_2.primary", "dtype": "string"}] | {} |
FabioInspires/hoodies | default | 0 | 31 | ["license:openrail", "size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | "openrail" | 2023-04-06T05:06:03 | 2023-04-06T05:07:11 | [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}] | {} |
Kwang-su/datat | default | 0 | 30 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-07-27T08:51:32 | 2024-07-28T15:49:34 | [{"name": "text", "dtype": "string"}] | {} |
feedbackagent/train_reflection_eval4 | default | 0 | 39 | ["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-10T05:12:35 | 2024-12-10T05:13:17 | [{"name": "gt", "dtype": "string"}, {"name": "idx", "dtype": "int64"}, {"name": "prompt", "dtype": "string"}, {"name": "completions", "sequence": "string"}, {"name": "problem", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "reflection", "dtype": "string"}] | {} |
terryyz/stackoverflow_ngram_10_overlap_35 | default | 0 | 32 | ["size_categories:1K<n<10K", "format:parquet", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-08-13T18:36:19 | 2024-08-13T18:36:23 | [{"name": "overlap", "dtype": "bool"}] | {} |
result-kand2-sdxl-wuerst-karlo/6a8bc094 | default | 0 | 40 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-10-17T04:30:55 | 2023-10-17T04:30:56 | [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}] | {} |
DeepLearner101/unsplash_imagenet_selected_classes | default | 0 | 32 | ["size_categories:n<1K", "format:parquet", "modality:image", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-01-03T13:08:44 | 2024-01-03T13:18:37 | [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "int64"}] | {} |
MedAliFarhat/Mask_Gen_SAM2 | default | 0 | 44 | ["size_categories:n<1K", "format:parquet", "modality:image", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-26T23:41:19 | 2024-12-27T00:00:17 | [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "image"}] | {} |
PrasannSinghal/mathprompts | default | 0 | 40 | ["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-05-03T03:28:07 | 2024-05-03T03:28:08 | [{"name": "question", "dtype": "string"}, {"name": "outputs", "dtype": "string"}] | {} |
Seenka/direvtv-test | default | 0 | 31 | ["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-08-14T13:48:39 | 2023-08-14T13:51:28 | [{"name": "image", "dtype": "image"}, {"name": "timestamp", "dtype": "int64"}, {"name": "video_storage_path", "dtype": "string"}] | {} |
StofEzz/dataset_c_voice0.2 | default | 0 | 42 | ["size_categories:1K<n<10K", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-08-04T09:10:27 | 2023-08-04T09:10:36 | [{"name": "path", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 48000}}}, {"name": "sentence", "dtype": "string"}] | {} |
rahmaabusalma/sentiment_preprocess-2Class | default | 0 | 41 | ["size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-05-28T20:16:09 | 2024-05-28T20:16:17 | [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "sentiment", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}] | {} |
cyber-ar-15/urantia_dataset | default | 0 | 39 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-27T04:45:35 | 2024-10-27T05:15:19 | [{"name": "0", "dtype": "string"}] | {} |
apjanco/fmb_primera_muestra_redboxes | default | 0 | 40 | ["size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-01T13:02:33 | 2024-11-01T13:16:54 | [{"name": "file_name", "dtype": "string"}, {"name": "line_id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "image", "dtype": "image"}] | {} |
JovialValley/phoneme_totalMapped3 | default | 0 | 36 | ["size_categories:n<1K", "format:parquet", "modality:timeseries", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2022-12-20T22:32:10 | 2022-12-20T22:32:44 | [{"name": "input_values", "sequence": "float32"}, {"name": "labels", "sequence": "int64"}] | {} |
QueenieFi/Pes2ov3_dataset | default | 0 | 39 | ["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-16T08:46:25 | 2024-10-16T12:01:31 | [{"name": "text", "dtype": "string"}] | {} |
wenwenyu/funsd_donut | default | 0 | 35 | ["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-03-04T13:23:51 | 2024-03-04T13:33:39 | [{"name": "image", "dtype": "image"}, {"name": "ground_truth", "dtype": "string"}] | {} |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_9514978c-66d8-443a-9397-714f20108c8b | default | 0 | 38 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-29T09:57:46 | 2024-10-29T09:57:47 | [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "positive", "1": "negative"}}}}] | {} |
jganzabalseenka/news_2024-07-15_24hs | default | 0 | 31 | ["size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-07-16T14:14:56 | 2024-07-16T14:15:10 | [{"name": "asset_id", "dtype": "int64"}, {"name": "title_ch", "dtype": "string"}, {"name": "Asset Destination", "dtype": "string"}, {"name": "media", "dtype": "string"}, {"name": "impact", "dtype": "int64"}, {"name": "start_time_utc", "dtype": "timestamp[ns]"}, {"name": "start_time_local", "dtype": "timestamp[ns]"}, {"name": "entities_curated", "sequence": "string"}, {"name": "entities", "sequence": "string"}, {"name": "predicted_at_entities", "dtype": "timestamp[ns]"}, {"name": "entities_raw_transformers", "list": [{"name": "entities", "list": [{"name": "end", "dtype": "int64"}, {"name": "entity_group", "dtype": "string"}, {"name": "score", "dtype": "float64"}, {"name": "start", "dtype": "int64"}, {"name": "word", "dtype": "string"}]}, {"name": "text", "dtype": "string"}]}, {"name": "entities_transformers", "sequence": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "keywords", "sequence": "string"}, {"name": "predicted_at_keywords", "dtype": "timestamp[ns]"}, {"name": "truncated_text", "dtype": "string"}, {"name": "title_and_text", "dtype": "string"}, {"name": "prediction_delay_predictions", "dtype": "float64"}, {"name": "prediction_delay", "dtype": "float64"}] | {} |
Kamaljp/krea-openprompt | default | 0 | 37 | ["license:cc-by-2.0", "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | "cc-by-2.0" | 2023-06-07T04:02:13 | 2023-06-07T07:13:15 | [{"name": "seq1", "dtype": "string"}, {"name": "seq2", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}] | {} |
andrewsiah/PersonaPromptPersonalLLM_482 | default | 0 | 31 | ["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-08-08T05:31:53 | 2024-08-08T05:31:54 | [{"name": "personaid_482_response_1_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_482_response_2_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_482_response_3_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_482_response_4_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_482_response_5_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_482_response_6_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_482_response_7_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_482_response_8_llama3_sfairx", "dtype": "float64"}, {"name": "prompt", "dtype": "string"}, {"name": "subset", "dtype": "string"}, {"name": "prompt_id", "dtype": "int64"}, {"name": "response_1", "dtype": "string"}, {"name": "response_1_model", "dtype": "string"}, {"name": "response_2", "dtype": "string"}, {"name": "response_2_model", "dtype": "string"}, {"name": "response_3", "dtype": "string"}, {"name": "response_3_model", "dtype": "string"}, {"name": "response_4", "dtype": "string"}, {"name": "response_4_model", "dtype": "string"}, {"name": "response_5", "dtype": "string"}, {"name": "response_5_model", "dtype": "string"}, {"name": "response_6", "dtype": "string"}, {"name": "response_6_model", "dtype": "string"}, {"name": "response_7", "dtype": "string"}, {"name": "response_7_model", "dtype": "string"}, {"name": "response_8", "dtype": "string"}, {"name": "response_8_model", "dtype": "string"}, {"name": "response_1_gemma_2b", "dtype": "float64"}, {"name": "response_2_gemma_2b", "dtype": "float64"}, {"name": "response_3_gemma_2b", "dtype": "float64"}, {"name": "response_4_gemma_2b", "dtype": "float64"}, {"name": "response_5_gemma_2b", "dtype": "float64"}, {"name": "response_6_gemma_2b", "dtype": "float64"}, {"name": "response_7_gemma_2b", "dtype": "float64"}, {"name": "response_8_gemma_2b", "dtype": "float64"}, {"name": "response_1_gemma_7b", "dtype": "float64"}, {"name": "response_2_gemma_7b", "dtype": "float64"}, {"name": "response_3_gemma_7b", "dtype": "float64"}, {"name": "response_4_gemma_7b", "dtype": "float64"}, {"name": "response_5_gemma_7b", "dtype": "float64"}, {"name": "response_6_gemma_7b", "dtype": "float64"}, {"name": "response_7_gemma_7b", "dtype": "float64"}, {"name": "response_8_gemma_7b", "dtype": "float64"}, {"name": "response_1_mistral_raft", "dtype": "float64"}, {"name": "response_2_mistral_raft", "dtype": "float64"}, {"name": "response_3_mistral_raft", "dtype": "float64"}, {"name": "response_4_mistral_raft", "dtype": "float64"}, {"name": "response_5_mistral_raft", "dtype": "float64"}, {"name": "response_6_mistral_raft", "dtype": "float64"}, {"name": "response_7_mistral_raft", "dtype": "float64"}, {"name": "response_8_mistral_raft", "dtype": "float64"}, {"name": "response_1_mistral_ray", "dtype": "float64"}, {"name": "response_2_mistral_ray", "dtype": "float64"}, {"name": "response_3_mistral_ray", "dtype": "float64"}, {"name": "response_4_mistral_ray", "dtype": "float64"}, {"name": "response_5_mistral_ray", "dtype": "float64"}, {"name": "response_6_mistral_ray", "dtype": "float64"}, {"name": "response_7_mistral_ray", "dtype": "float64"}, {"name": "response_8_mistral_ray", "dtype": "float64"}, {"name": "response_1_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_2_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_3_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_4_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_5_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_6_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_7_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_8_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_1_llama3_sfairx", "dtype": "float64"}, {"name": "response_2_llama3_sfairx", "dtype": "float64"}, {"name": "response_3_llama3_sfairx", "dtype": "float64"}, {"name": "response_4_llama3_sfairx", "dtype": "float64"}, {"name": "response_5_llama3_sfairx", "dtype": "float64"}, {"name": "response_6_llama3_sfairx", "dtype": "float64"}, {"name": "response_7_llama3_sfairx", "dtype": "float64"}, {"name": "response_8_llama3_sfairx", "dtype": "float64"}, {"name": "response_1_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_2_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_3_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_4_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_5_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_6_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_7_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_8_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_1_beaver_7b", "dtype": "float64"}, {"name": "response_2_beaver_7b", "dtype": "float64"}, {"name": "response_3_beaver_7b", "dtype": "float64"}, {"name": "response_4_beaver_7b", "dtype": "float64"}, {"name": "response_5_beaver_7b", "dtype": "float64"}, {"name": "response_6_beaver_7b", "dtype": "float64"}, {"name": "response_7_beaver_7b", "dtype": "float64"}, {"name": "response_8_beaver_7b", "dtype": "float64"}, {"name": "response_1_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_2_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_3_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_4_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_5_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_6_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_7_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_8_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_1_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_2_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_3_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_4_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_5_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_6_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_7_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_8_oasst_pythia_1b", "dtype": "float64"}, {"name": "id", "dtype": "int64"}, {"name": "rformatted_promptresponse_1", "dtype": "string"}, {"name": "rformatted_promptresponse_2", "dtype": "string"}, {"name": "rformatted_promptresponse_3", "dtype": "string"}, {"name": "rformatted_promptresponse_4", "dtype": "string"}, {"name": "rformatted_promptresponse_5", "dtype": "string"}, {"name": "rformatted_promptresponse_6", "dtype": "string"}, {"name": "rformatted_promptresponse_7", "dtype": "string"}, {"name": "rformatted_promptresponse_8", "dtype": "string"}] | {} |
ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-all-revised_NoQuant_32_32_0.01_64_BestF1_en | default | 0 | 41 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-03T08:55:56 | 2025-01-07T09:54:13 | [{"name": "sentence", "dtype": "string"}, {"name": "entities", "list": [{"name": "offsets", "sequence": "int64"}, {"name": "text", "dtype": "string"}, {"name": "type", "dtype": "string"}]}, {"name": "tokens", "sequence": "string"}, {"name": "ner_tags", "sequence": "int64"}, {"name": "ground_truth_word_level", "sequence": "string"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}, {"name": "predictions", "sequence": "string"}, {"name": "ground_truth_labels", "sequence": "string"}] | {} |
naorm/desktop-git-large-textcaps | default | 0 | 32 | ["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-02-11T21:11:45 | 2024-02-11T21:11:50 | [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}] | {} |
seojingjing/medicine_dataset | default | 0 | 32 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-03T08:55:30 | 2024-10-03T09:27:19 | [{"name": "text", "dtype": "string"}] | {} |
gouthamsk/esp_idf_mined_data | default | 0 | 35 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-03-14T13:42:51 | 2024-03-14T14:20:10 | [{"name": "title", "dtype": "string"}, {"name": "author", "dtype": "string"}, {"name": "hostname", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "fingerprint", "dtype": "string"}, {"name": "id", "dtype": "null"}, {"name": "license", "dtype": "null"}, {"name": "comments", "dtype": "string"}, {"name": "raw_text", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "language", "dtype": "null"}, {"name": "image", "dtype": "null"}, {"name": "pagetype", "dtype": "null"}, {"name": "source", "dtype": "string"}, {"name": "source-hostname", "dtype": "string"}, {"name": "excerpt", "dtype": "null"}, {"name": "categories", "dtype": "string"}, {"name": "tags", "dtype": "string"}] | {} |
cesinsingapore/singlish-2202-metadata-v2 | default | 0 | 30 | ["size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-08-27T07:26:23 | 2024-08-27T07:36:28 | [{"name": "text", "dtype": "string"}, {"name": "utterance_pitch_mean", "dtype": "float32"}, {"name": "utterance_pitch_std", "dtype": "float32"}, {"name": "snr", "dtype": "float64"}, {"name": "c50", "dtype": "float64"}, {"name": "speaking_rate", "dtype": "string"}, {"name": "phonemes", "dtype": "string"}, {"name": "stoi", "dtype": "float64"}, {"name": "si-sdr", "dtype": "float64"}, {"name": "pesq", "dtype": "float64"}, {"name": "noise", "dtype": "string"}, {"name": "reverberation", "dtype": "string"}, {"name": "speech_monotony", "dtype": "string"}, {"name": "sdr_noise", "dtype": "string"}, {"name": "pesq_speech_quality", "dtype": "string"}, {"name": "text_description", "dtype": "string"}] | {} |
saraHamza/vocab-definition-ds | default | 0 | 38 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-19T00:38:35 | 2024-10-19T00:55:21 | [{"name": "0", "dtype": "string"}] | {} |
1231czx/biased_train_iter2_dpo | default | 0 | 33 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-09-14T16:25:10 | 2024-09-14T16:25:14 | [{"name": "responses", "sequence": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "rewards", "sequence": "float64"}] | {} |
blanchon/EuroSAT_MSI | default | 6 | 366 | ["task_categories:image-classification", "language:en", "license:unknown", "size_categories:10K<n<100K", "format:parquet", "modality:text", "modality:geospatial", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "arxiv:1709.00029", "region:us", "remote-sensing", "earth-observation", "geospatial", "satellite-imagery", "land-cover-classification", "multispectral", "sentinel-2"] | "en" | "unknown" | 2023-12-05T13:15:45 | 2023-12-05T13:33:44 | [{"name": "image", "dtype": {"array3_d": {"dtype": "uint16", "shape": [64, 64, 13]}}}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Annual Crop", "1": "Forest", "2": "Herbaceous Vegetation", "3": "Highway", "4": "Industrial Buildings", "5": "Pasture", "6": "Permanent Crop", "7": "Residential Buildings", "8": "River", "9": "SeaLake"}}}}, {"name": "filename", "dtype": "string"}] | {} |
danielgi97/EjercicioFinetunningSquad | default | 0 | 30 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-06-16T20:59:43 | 2024-06-16T21:01:23 | [{"name": "title", "dtype": "string"}, {"name": "paragraphs", "list": [{"name": "context", "dtype": "string"}, {"name": "qas", "list": [{"name": "answers", "list": [{"name": "answer_start", "dtype": "int64"}, {"name": "text", "dtype": "string"}]}, {"name": "id", "dtype": "string"}, {"name": "is_impossible", "dtype": "bool"}, {"name": "plausible_answers", "list": [{"name": "answer_start", "dtype": "int64"}, {"name": "text", "dtype": "string"}]}, {"name": "question", "dtype": "string"}]}]}] | {} |
PradyumSomebody/Audio_Medical3 | default | 0 | 31 | ["size_categories:n<1K", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-07-15T14:01:20 | 2024-07-15T14:27:45 | [{"name": "Sentence", "dtype": "string"}, {"name": "Unnamed: 2", "dtype": "float64"}, {"name": "Audio", "dtype": "string"}, {"name": "audio", "dtype": "audio"}] | {} |
mammoth666/cars-make-model-year-chunk-15 | default | 0 | 30 | ["size_categories:n<1K", "format:parquet", "modality:image", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-07-03T18:17:43 | 2024-07-03T18:24:48 | [{"name": "image", "dtype": "image"}] | {} |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_2ef0992d-6f32-452c-b4ec-7503bc439d19 | default | 0 | 33 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-01T09:27:42 | 2024-10-01T09:27:43 | [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "positive", "1": "negative"}}}}] | {} |
Chijioke-Mgbahurike/eval_whisper | default | 0 | 33 | ["size_categories:n<1K", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-06-13T19:41:13 | 2024-06-13T19:41:18 | [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "Unnamed: 0", "dtype": "int64"}, {"name": "transcription", "dtype": "string"}, {"name": "annotator_id", "dtype": "float64"}, {"name": "filename", "dtype": "string"}, {"name": "num_speakers", "dtype": "float64"}, {"name": "aave", "dtype": "float64"}, {"name": "aave_speaker_count", "dtype": "float64"}, {"name": "chicano_english", "dtype": "float64"}, {"name": "ce_speaker_count", "dtype": "float64"}, {"name": "spanglish", "dtype": "float64"}, {"name": "spanglish_speaker_count", "dtype": "float64"}, {"name": "sae", "dtype": "float64"}, {"name": "sae_speaker_count", "dtype": "float64"}, {"name": "codeswitching", "dtype": "float64"}, {"name": "other_dialect_accent", "dtype": "float64"}, {"name": "women", "dtype": "float64"}, {"name": "women_speaker_count", "dtype": "float64"}, {"name": "men", "dtype": "float64"}, {"name": "men_speaker_count", "dtype": "float64"}, {"name": "demographic_info_correct", "dtype": "float64"}, {"name": "demographic_group", "dtype": {"class_label": {"names": {"0": "Black Men", "1": "Black Women", "2": "Black Womnen", "3": "Latinx Men", "4": "Latinx Men and Women", "5": "Latinx Women", "6": "Men", "7": "White Men", "8": "White Men and Women", "9": "White Women", "10": "white Women"}}}}] | {} |
result-kand2-sdxl-wuerst-karlo/877f2204 | default | 0 | 39 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-10-28T21:09:40 | 2023-10-28T21:09:41 | [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}] | {} |
nielsr/coco-panoptic-val2017 | default | 0 | 34 | ["size_categories:1K<n<10K", "format:parquet", "modality:image", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2022-12-25T16:56:03 | 2022-12-25T17:26:14 | [{"name": "label", "dtype": "image"}, {"name": "segments_info", "list": [{"name": "id", "dtype": "int64"}, {"name": "category_id", "dtype": "int64"}, {"name": "iscrowd", "dtype": "int64"}, {"name": "bbox", "sequence": "int64"}, {"name": "area", "dtype": "int64"}]}, {"name": "image_id", "dtype": "int64"}, {"name": "image", "dtype": "image"}] | {} |
Sekiraw/common_voice_17_0_hu_split_6 | default | 0 | 35 | ["size_categories:10K<n<100K", "format:parquet", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-08-27T13:07:07 | 2024-08-27T13:12:53 | [{"name": "input_features", "sequence": {"sequence": "float32"}}, {"name": "labels", "sequence": "int64"}] | {} |
jganzabalseenka/Tweet_2024-09-10T20_24hs | default | 0 | 31 | ["size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-09-11T23:54:24 | 2024-09-13T18:04:04 | [{"name": "asset_id", "dtype": "int64"}, {"name": "title_ch", "dtype": "string"}, {"name": "Asset Destination", "dtype": "string"}, {"name": "media", "dtype": "string"}, {"name": "impact", "dtype": "int64"}, {"name": "start_time_utc", "dtype": "timestamp[ns]"}, {"name": "start_time_local", "dtype": "timestamp[ns]"}, {"name": "entities_curated", "sequence": "string"}, {"name": "entities", "sequence": "string"}, {"name": "predicted_at_entities", "dtype": "timestamp[ns]"}, {"name": "entities_raw_transformers", "list": [{"name": "entities", "list": [{"name": "end", "dtype": "int64"}, {"name": "entity_group", "dtype": "string"}, {"name": "score", "dtype": "float64"}, {"name": "start", "dtype": "int64"}, {"name": "word", "dtype": "string"}]}, {"name": "text", "dtype": "string"}]}, {"name": "entities_transformers", "sequence": "string"}, {"name": "keywords", "sequence": "string"}, {"name": "predicted_at_keywords", "dtype": "timestamp[ns]"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "predicted_at_text", "dtype": "timestamp[us, tz=UTC]"}, {"name": "truncated_text", "dtype": "string"}, {"name": "title_and_text", "dtype": "string"}, {"name": "prediction_delay_predictions", "dtype": "float64"}, {"name": "prediction_delay", "dtype": "float64"}] | {} |
bk1832004/ImageDataset | default | 0 | 33 | ["task_categories:text-to-image", "language:en", "license:mit", "size_categories:n<1K", "format:imagefolder", "modality:image", "modality:text", "library:datasets", "library:mlcroissant", "region:us", "small-dataset"] | ["en"] | "mit" | 2025-01-18T08:32:41 | 2025-01-18T14:43:26 | [{"name": "image", "dtype": "string"}, {"name": "caption", "dtype": "string"}] | {} |
ojas-kool/name-generator | default | 0 | 30 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-06-05T19:40:00 | 2024-06-09T11:18:07 | [{"name": "prompt", "dtype": "string"}] | {} |
jazzysnake01/oasst1-en-hun-gemini | default | 2 | 54 | ["language:en", "size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | ["en"] | null | 2024-03-03T11:55:49 | 2024-03-07T13:52:22 | [{"name": "message_id", "dtype": "string"}, {"name": "parent_id", "dtype": "string"}, {"name": "user_id", "dtype": "string"}, {"name": "created_date", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "role", "dtype": "string"}, {"name": "lang", "dtype": "string"}, {"name": "review_count", "dtype": "float64"}, {"name": "review_result", "dtype": "bool"}, {"name": "deleted", "dtype": "bool"}, {"name": "rank", "dtype": "float64"}, {"name": "synthetic", "dtype": "bool"}, {"name": "model_name", "dtype": "float64"}, {"name": "detoxify", "dtype": "string"}, {"name": "message_tree_id", "dtype": "string"}, {"name": "tree_state", "dtype": "string"}, {"name": "emojis", "dtype": "string"}, {"name": "labels", "dtype": "string"}, {"name": "hungarian_translation", "dtype": "string"}] | {} |
fendri/Unpadhub | default | 0 | 34 | ["license:mit", "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | "mit" | 2024-10-02T06:55:01 | 2024-10-03T03:49:54 | [{"name": "output", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "instruction", "dtype": "string"}] | {} |
sickgpt/003_PubMedQA | default | 0 | 32 | ["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-27T07:54:53 | 2024-12-27T07:55:53 | [{"name": "QUESTION", "dtype": "string"}, {"name": "CONTEXTS", "sequence": "string"}, {"name": "LABELS", "sequence": "string"}, {"name": "MESHES", "sequence": "string"}, {"name": "YEAR", "dtype": "string"}, {"name": "reasoning_required_pred", "dtype": "string"}, {"name": "reasoning_free_pred", "dtype": "string"}, {"name": "final_decision", "dtype": "string"}, {"name": "LONG_ANSWER", "dtype": "string"}] | {} |
Ruqiya/Arabic-stsbenchmark-sts | default | 0 | 34 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-06-02T11:54:04 | 2024-06-02T11:54:08 | [{"name": "split", "dtype": "string"}, {"name": "score", "dtype": "float64"}, {"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}] | {} |
Subsets and Splits
No saved queries yet
Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.