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+data/ces_Latn/train.parquet.gzip filter=lfs diff=lfs merge=lfs -text
+data/deu_Latn/train.parquet.gzip filter=lfs diff=lfs merge=lfs -text
+data/ell_Grek/train.parquet.gzip filter=lfs diff=lfs merge=lfs -text
+data/eng_Latn/train.parquet.gzip filter=lfs diff=lfs merge=lfs -text
+data/fra_Latn/train.parquet.gzip filter=lfs diff=lfs merge=lfs -text
+data/hun_Latn/train.parquet.gzip filter=lfs diff=lfs merge=lfs -text
+data/ita_Latn/train.parquet.gzip filter=lfs diff=lfs merge=lfs -text
+data/jpn_Jpan/train.parquet.gzip filter=lfs diff=lfs merge=lfs -text
+data/nld_Latn/train.parquet.gzip filter=lfs diff=lfs merge=lfs -text
+data/plt_Latn/train.parquet.gzip filter=lfs diff=lfs merge=lfs -text
+data/pol_Latn/train.parquet.gzip filter=lfs diff=lfs merge=lfs -text
+data/por_Latn/train.parquet.gzip filter=lfs diff=lfs merge=lfs -text
+data/rus_Cyrl/train.parquet.gzip filter=lfs diff=lfs merge=lfs -text
+data/spa_Latn/train.parquet.gzip filter=lfs diff=lfs merge=lfs -text
+data/srp_Latn/train.parquet.gzip filter=lfs diff=lfs merge=lfs -text
+data/swh_Latn/train.parquet.gzip filter=lfs diff=lfs merge=lfs -text
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README.md

@@ -0,0 +1,640 @@
+---
+license: cc-by-nc-4.0
+task_categories:
+- text-retrieval
+language:
+- am
+- ar
+- ay
+- bm
+- bbj
+- bn
+- bs
+- bg
+- ca
+- cs
+- ku
+- da
+- el
+- en
+- et
+- ee
+- fil
+- fi
+- fr
+- fon
+- gu
+- guw
+- ha
+- he
+- hi
+- hu
+- ig
+- id
+- it
+- ja
+- kk
+- km
+- ko
+- lv
+- ln
+- lt
+- lg
+- luo
+- mk
+- mos
+- my
+- nl
+- 'no'
+- ne
+- om
+- or
+- pa
+- pcm
+- fa
+- pl
+- pt
+- mg
+- ro
+- rn
+- ru
+- sn
+- so
+- es
+- sr
+- sq
+- sw
+- sv
+- ta
+- tet
+- ti
+- th
+- tn
+- tr
+- tw
+- uk
+- ur
+- wo
+- xh
+- yo
+- zh
+- zu
+multilinguality:
+- multilingual
+pretty_name: PolyNews
+size_categories:
+- 1K<n<10K
+source_datasets:
+- masakhanews
+- mafand
+- wikinews
+- wmt-news
+- globalvoices
+tags:
+- news
+- polynews
+- mafand
+- masakhanews
+- wikinews
+- globalvoices
+- wmtnews
+configs:
+- config_name: amh_Ethi
+  data_files:
+  - split: train
+    path: "data/amh_Ethi/train.parquet.gzip"
+- config_name: arb_Arab
+  data_files:
+  - split: train
+    path: "data/arb_Arab/train.parquet.gzip"
+- config_name: ayr_Latn
+  data_files:
+  - split: train
+    path: "data/ayr_Latn/train.parquet.gzip"
+- config_name: bam_Latn
+  data_files:
+  - split: train
+    path: "data/bam_Latn/train.parquet.gzip"
+- config_name: bbj_Latn
+  data_files:
+  - split: train
+    path: "data/bbj_Latn/train.parquet.gzip"
+- config_name: ben_Beng
+  data_files:
+  - split: train
+    path: "data/ben_Beng/train.parquet.gzip"
+- config_name: bos_Latn
+  data_files:
+  - split: train
+    path: "data/bos_Latn/train.parquet.gzip"
+- config_name: bul_Cyrl
+  data_files:
+  - split: train
+    path: "data/bul_Cyrl/train.parquet.gzip"
+- config_name: cat_Latn
+  data_files:
+  - split: train
+    path: "data/cat_Latn/train.parquet.gzip"
+- config_name: ces_Latn
+  data_files:
+  - split: train
+    path: "data/ces_Latn/train.parquet.gzip"
+- config_name: ckb_Arab
+  data_files:
+  - split: train
+    path: "data/ckb_Arab/train.parquet.gzip"
+- config_name: dan_Latn
+  data_files:
+  - split: train
+    path: "data/dan_Latn/train.parquet.gzip"
+- config_name: deu_Latn
+  data_files:
+  - split: train
+    path: "data/deu_Latn/train.parquet.gzip"
+- config_name: ell_Grek
+  data_files:
+  - split: train
+    path: "data/ell_Grek/train.parquet.gzip"
+- config_name: eng_Latn
+  data_files:
+  - split: train
+    path: "data/eng_Latn/train.parquet.gzip"
+- config_name: est_Latn
+  data_files:
+  - split: train
+    path: "data/est_Latn/train.parquet.gzip"
+- config_name: ewe_Latn
+  data_files:
+  - split: train
+    path: "data/ewe_Latn/train.parquet.gzip"
+- config_name: fil_Latn
+  data_files:
+  - split: train
+    path: "data/fil_Latn/train.parquet.gzip"
+- config_name: fin_Latn
+  data_files:
+  - split: train
+    path: "data/fin_Latn/train.parquet.gzip"
+- config_name: fon_Latn
+  data_files:
+  - split: train
+    path: "data/fon_Latn/train.parquet.gzip"
+- config_name: fra_Latn
+  data_files:
+  - split: train
+    path: "data/fra_Latn/train.parquet.gzip"
+- config_name: guj_Gujr
+  data_files:
+  - split: train
+    path: "data/guj_Gujr/train.parquet.gzip"
+- config_name: guw_Latn
+  data_files:
+  - split: train
+    path: "data/guw_Latn/train.parquet.gzip"
+- config_name: hau_Latn
+  data_files:
+  - split: train
+    path: "data/hau_Latn/train.parquet.gzip"
+- config_name: heb_Hebr
+  data_files:
+  - split: train
+    path: "data/heb_Hebr/train.parquet.gzip"
+- config_name: hin_Deva
+  data_files:
+  - split: train
+    path: "data/hin_Deva/train.parquet.gzip"
+- config_name: hun_Latn
+  data_files:
+  - split: train
+    path: "data/hun_Latn/train.parquet.gzip"
+- config_name: ibo_Latn
+  data_files:
+  - split: train
+    path: "data/ibo_Latn/train.parquet.gzip"
+- config_name: ind_Latn
+  data_files:
+  - split: train
+    path: "data/ind_Latn/train.parquet.gzip"
+- config_name: ita_Latn
+  data_files:
+  - split: train
+    path: "data/ita_Latn/train.parquet.gzip"
+- config_name: jpn_Jpan
+  data_files:
+  - split: train
+    path: "data/jpn_Jpan/train.parquet.gzip"
+- config_name: kaz_Cyrl
+  data_files:
+  - split: train
+    path: "data/kaz_Cyrl/train.parquet.gzip"
+- config_name: khm_Khmr
+  data_files:
+  - split: train
+    path: "data/khm_Khmr/train.parquet.gzip"
+- config_name: kor_Hang
+  data_files:
+  - split: train
+    path: "data/kor_Hang/train.parquet.gzip"
+- config_name: lav_Latn
+  data_files:
+  - split: train
+    path: "data/lav_Latn/train.parquet.gzip"
+- config_name: lin_Latn
+  data_files:
+  - split: train
+    path: "data/lin_Latn/train.parquet.gzip"
+- config_name: lit_Latn
+  data_files:
+  - split: train
+    path: "data/lit_Latn/train.parquet.gzip"
+- config_name: lug_Latn
+  data_files:
+  - split: train
+    path: "data/lug_Latn/train.parquet.gzip"
+- config_name: luo_Latn
+  data_files:
+  - split: train
+    path: "data/luo_Latn/train.parquet.gzip"
+- config_name: mkd_Cyrl
+  data_files:
+  - split: train
+    path: "data/mkd_Cyrl/train.parquet.gzip"
+- config_name: mos_Latn
+  data_files:
+  - split: train
+    path: "data/mos_Latn/train.parquet.gzip"
+- config_name: mya_Mymr
+  data_files:
+  - split: train
+    path: "data/mya_Mymr/train.parquet.gzip"
+- config_name: nld_Latn
+  data_files:
+  - split: train
+    path: "data/nld_Latn/train.parquet.gzip"
+- config_name: nor_Latn
+  data_files:
+  - split: train
+    path: "data/nor_Latn/train.parquet.gzip"
+- config_name: npi_Deva
+  data_files:
+  - split: train
+    path: "data/npi_Deva/train.parquet.gzip"
+- config_name: orm_Latn
+  data_files:
+  - split: train
+    path: "data/orm_Latn/train.parquet.gzip"
+- config_name: ory_Orya
+  data_files:
+  - split: train
+    path: "data/ory_Orya/train.parquet.gzip"
+- config_name: pan_Guru
+  data_files:
+  - split: train
+    path: "data/pan_Guru/train.parquet.gzip"
+- config_name: pcm_Latn
+  data_files:
+  - split: train
+    path: "data/pcm_Latn/train.parquet.gzip"
+- config_name: pes_Arab
+  data_files:
+  - split: train
+    path: "data/pes_Arab/train.parquet.gzip"
+- config_name: plt_Latn
+  data_files:
+  - split: train
+    path: "data/plt_Latn/train.parquet.gzip"
+- config_name: pol_Latn
+  data_files:
+  - split: train
+    path: "data/pol_Latn/train.parquet.gzip"
+- config_name: por_Latn
+  data_files:
+  - split: train
+    path: "data/por_Latn/train.parquet.gzip"
+- config_name: ron_Latn
+  data_files:
+  - split: train
+    path: "data/ron_Latn/train.parquet.gzip"
+- config_name: run_Latn
+  data_files:
+  - split: train
+    path: "data/run_Latn/train.parquet.gzip"
+- config_name: rus_Cyrl
+  data_files:
+  - split: train
+    path: "data/rus_Cyrl/train.parquet.gzip"
+- config_name: sna_Latn
+  data_files:
+  - split: train
+    path: "data/sna_Latn/train.parquet.gzip"
+- config_name: som_Latn
+  data_files:
+  - split: train
+    path: "data/som_Latn/train.parquet.gzip"
+- config_name: spa_Latn
+  data_files:
+  - split: train
+    path: "data/spa_Latn/train.parquet.gzip"
+- config_name: sqi_Latn
+  data_files:
+  - split: train
+    path: "data/sqi_Latn/train.parquet.gzip"
+- config_name: srp_Cyrl
+  data_files:
+  - split: train
+    path: "data/srp_Cyrl/train.parquet.gzip"
+- config_name: srp_Latn
+  data_files:
+  - split: train
+    path: "data/srp_Latn/train.parquet.gzip"
+- config_name: swe_Latn
+  data_files:
+  - split: train
+    path: "data/swe_Latn/train.parquet.gzip"
+- config_name: swh_Latn
+  data_files:
+  - split: train
+    path: "data/swh_Latn/train.parquet.gzip"
+- config_name: tam_Taml
+  data_files:
+  - split: train
+    path: "data/tam_Taml/train.parquet.gzip"
+- config_name: tet_Latn
+  data_files:
+  - split: train
+    path: "data/tet_Latn/train.parquet.gzip"
+- config_name: tha_Thai
+  data_files:
+  - split: train
+    path: "data/tha_Thai/train.parquet.gzip"
+- config_name: tir_Ethi
+  data_files:
+  - split: train
+    path: "data/tir_Ethi/train.parquet.gzip"
+- config_name: tsn_Latn
+  data_files:
+  - split: train
+    path: "data/tsn_Latn/train.parquet.gzip"
+- config_name: tur_Latn
+  data_files:
+  - split: train
+    path: "data/tur_Latn/train.parquet.gzip"
+- config_name: twi_Latn
+  data_files:
+  - split: train
+    path: "data/twi_Latn/train.parquet.gzip"
+- config_name: ukr_Cyrl
+  data_files:
+  - split: train
+    path: "data/ukr_Cyrl/train.parquet.gzip"
+- config_name: urd_Arab
+  data_files:
+  - split: train
+    path: "data/urd_Arab/train.parquet.gzip"
+- config_name: wol_Latn
+  data_files:
+  - split: train
+    path: "data/wol_Latn/train.parquet.gzip"
+- config_name: xho_Latn
+  data_files:
+  - split: train
+    path: "data/xho_Latn/train.parquet.gzip"
+- config_name: yor_Latn
+  data_files:
+  - split: train
+    path: "data/yor_Latn/train.parquet.gzip"
+- config_name: zho_Hans
+  data_files:
+  - split: train
+    path: "data/zho_Hans/train.parquet.gzip"
+- config_name: zho_Hant
+  data_files:
+  - split: train
+    path: "data/zho_Hant/train.parquet.gzip"
+- config_name: zul_Latn
+  data_files:
+  - split: train
+    path: "data/zul_Latn/train.parquet.gzip"
+---
+# Dataset Card for PolyNews
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Uses](#uses)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Data Collection and Processing](#data-collection-and-processing)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** https://huggingface.co/datasets/aiana94/polynews
+<!-- - **Repository:** https://github.com/andreeaiana/nase -->
+<!-- - **Paper:**  -->
+- **Point of Contact:** [Andreea Iana](https://andreeaiana.github.io/)
+- **License:** [CC-BY-4.0-NC](https://creativecommons.org/licenses/by-nc/4.0/)
+
+### Dataset Summary
+PolyNews is a multilingual dataset containing news titles in 79 languages and 19 scripts.
+
+### Uses
+
+This dataset can be used for domain adaptation of language models.
+
+### Languages
+
+There are 79 languages available:
+
+|**Code**   |    **Language**             |   **Script**       |**\#Articles (K)**|
+|:-----------|:---------------------------|:-------------------|:---------|
+| amh\_Ethi |   Amharic                 | Ethiopic          | 0.569   |
+| arb\_Arab |   Modern Standard Arabic  | Arabic            | 11.103  |
+| ayr\_Latn |   Central Aymara          | Latin             | 12.892  |
+| bam\_Latn |   Bambara                 | Latin             | 2.920   |
+| bbj\_Latn |   Ghomálá’                | Latin             | 2.141   |
+| ben\_Beng |   Bengali                 | Bengali           | 2.517   |
+| bos\_Latn |   Bosnian                 | Latin             | 0.298   |
+| bul\_Cyrl |   Bulgarian               | Cyrillic          | 1.808   |
+| cat\_Latn |   Catalan                 | Latin             | 30.419  |
+| ces\_Latn |   Czech                   | Latin             | 58.384  |
+| ckb\_Arab |   Central Kurdish         | Arabic            | 0.014   |
+| dan\_Latn |   Danish                  | Latin             | 9.459   |
+| deu\_Latn |   German                  | Latin             | 145.518 |
+| ell\_Grek |   Greek                   | Greek             | 50.598  |
+| eng\_Latn |   English                 | Latin             | 982.181 |
+| est\_Latn |   Estonian                | Latin             | 3.942   |
+| ewe\_Latn |   Éwé                     | Latin             | 2.007   |
+| fil\_Latn |   Filipino                | Latin             | 3.313   |
+| fin\_Latn |   Finnish                 | Latin             | 19.602  |
+| fon\_Latn |   Fon                     | Latin             | 2.611   |
+| fra\_Latn |   French                  | Latin             | 481.801 |
+| guj\_Gujr |   Gujarati                | Gujarati          | 0.691   |
+| guw\_Latn |   Gun                     | Latin             | 1.068   |
+| hau\_Latn |   Hausa                   | Latin             | 7.907   |
+| heb\_Hebr |   Hebrew                  | Hebrew            | 0.360   |
+| hin\_Deva |   Hindi                   | Devanagari        | 0.721   |
+| hun\_Latn |   Hungarian               | Latin             | 22.226  |
+| ibo\_Latn |   Igbo                    | Latin             | 7.717   |
+| ind\_Latn |   Indonesian              | Latin             | 17.759  |
+| ita\_Latn |   Italian                 | Latin             | 163.475 |
+| jpn\_Jpan |   Japanese                | Japanese          | 20.805  |
+| kaz\_Cyrl |   Kazakh                  | Cyrillic          | 0.763   |
+| khm\_Khmr |   Khmer                   | Khmer             | 0.235   |
+| kor\_Hang |   Korean                  | Hangul            | 3.722   |
+| lav\_Latn |   Latvian                 | Latin             | 3.971   |
+| lin\_Latn |   Lingala                 | Latin             | 0.602   |
+| lit\_Latn |   Lithuanian              | Latin             | 3.948   |
+| lug\_Latn |   Ganda                   | Latin             | 4.769   |
+| luo\_Latn |   Luo                     | Latin             | 4.251   |
+| mkd\_Cyrl |   Macedonian              | Cyrillic          | 10.663  |
+| mos\_Latn |   Mossi                   | Latin             | 2.463   |
+| mya\_Mymr |   Burmese                 | Myanmar           | 0.606   |
+| nld\_Latn |   Dutch                   | Latin             | 53.219  |
+| nor\_Latn |   Norwegian               | Latin             | 0.529   |
+| npi\_Deva |   Nepali                  | Devanagari        | 0.225   |
+| orm\_Latn |   Oromo                   | Latin             | 1.124   |
+| ory\_Orya |   Odia                    | Oriya             | 0.042   |
+| pan\_Guru |   Eastern Panjabi         | Gurmukhi          | 0.345   |
+| pcm\_Latn |   Nigerian Pidgin         | Latin             | 5.746   |
+| pes\_Arab |   Western Persian         | Arabic            | 1.540   |
+| plt\_Latn |   Malagasy                | Latin             | 393.974 |
+| pol\_Latn |   Polish                  | Latin             | 80.990  |
+| por\_Latn |   Portuguese              | Latin             | 156.085 |
+| ron\_Latn |   Romanian                | Latin             | 10.475  |
+| run\_Latn |   Rundi                   | Latin             | 1.113   |
+| rus\_Cyrl |   Russian                 | Cyrillic          | 144.074 |
+| sna\_Latn |   Shona                   | Latin             | 1.128   |
+| som\_Latn |   Somali                  | Latin             | 1.019   |
+| spa\_Latn |   Spanish                 | Latin             | 681.521 |
+| sqi\_Latn |   Albanian                | Latin             | 7.289   |
+| srp\_Cyrl |   Serbian                 | Cyrillic          | 1.056   |
+| srp\_Latn |   Serbian                 | Latin             | 58.031  |
+| swe\_Latn |   Swedish                 | Latin             | 12.326  |
+| swh\_Latn |   Swahili                 | Latin             | 47.399  |
+| tam\_Taml |   Tamil                   | Tamil             | 0.358   |
+| tet\_Latn |   Tetun                   | Latin             | 0.626   |
+| tha\_Thai |   Thai                    | Thai              | 0.091   |
+| tir\_Ethi |   Tigrinya                | Ethiopic          | 0.079   |
+| tsn\_Latn |   Tswana                  | Latin             | 2.077   |
+| tur\_Latn |   Turkish                 | Latin             | 19.795  |
+| twi\_Latn |   Twi                     | Latin             | 3.016   |
+| ukr\_Cyrl |   Ukrainian               | Cyrillic          | 0.293   |
+| urd\_Arab |   Urdu                    | Arabic            | 0.860   |
+| wol\_Latn |   Wolof                   | Latin             | 3.345   |
+| xho\_Latn |   Xhosa                   | Latin             | 0.709   |
+| yor\_Latn |   Yorùbá                  | Latin             | 8.018   |
+| zho\_Hans |   Chinese                 | Han (Simplified)  | 59.811  |
+| zho\_Hant |   Chinese                 | Han (Traditional) | 54.600  |
+| zul\_Latn |   Zulu                    | Latin             | 3.341   |
+
+
+## Dataset Structure
+
+### Data Instances
+```
+>>> from datasets import load_dataset
+>>> data = load_dataset('aiana94/polynews', 'ron_Latn')
+
+# Please, specify the language code,
+
+# A data point example is below:
+
+{
+"text": "Un public numeros. Este uimitor succesul după doar trei ediții . ",
+"provenance": "globalvoices"
+}
+
+```
+
+### Data Fields
+
+- text (string): news text
+- provenance (string) : source dataset for the news example
+
+### Data Splits
+
+For all languages, there is only the `train` split.
+
+
+## Dataset Creation
+
+### Curation Rationale
+
+Multiple multilingual, human-translated, datasets containing news texts have been released in recent years. 
+However, these datasets are stored in different formats and various websites, and many contain numerous near duplicates. 
+With PolyNews, we aim to provide an easily-accessible, unified and deduplicated dataset that combines these disparate data sources, and which can be used for domain adaptation of language models in both high-resource and low-resource languages.
+
+### Source Data
+
+The source data consists of five multilingual news datasets.
+
+- [Wikinews](https://www.wikinews.org/) (latest dump available in May 2024)
+- [GlobalVoices](https://opus.nlpl.eu/GlobalVoices/corpus/version/GlobalVoices) (v2018q4)
+- [WMT-News](https://opus.nlpl.eu/WMT-News/corpus/version/WMT-News) (v2019)
+- [MasakhaNews](https://huggingface.co/datasets/masakhane/masakhanews) (`train` split)
+- [MAFAND](https://huggingface.co/datasets/masakhane/mafand) (`train` split)
+
+#### Data Collection and Processing
+
+We processed the data using a **working script** which covers the entire processing pipeline. It can be found [here](https://github.com/andreeaiana/nase/script/polynews).
+
+The data processing pipeline consists of:
+1. Downloading the WMT-News and GlobalVoices News from OPUS.
+2. Downloading the latest dump from WikiNews.
+3. Loading the MasakhaNews and MAFAND datasets from Hugging Face Hub (only the `train` splits).
+4. Concatenating, per language, all news texts from the source datasets.
+5. Data cleaning (e.g., removal of exact duplicates, short texts, texts in other scripts)
+6. [MinHash near-deduplication](https://github.com/bigcode-project/bigcode-dataset/blob/main/near_deduplication/minhash_deduplication.py) per language.
+
+
+### Annotations 
+
+We augment the original samples with the `provenance` annotation which specifies the original data source from which a particular examples stems.
+
+
+#### Personal and Sensitive Information
+
+The data is sourced from newspaper sources and contains mentions of public figures and individuals.
+
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+[More Information Needed]
+
+
+### Discussion of Biases
+[More Information Needed]
+
+
+### Other Known Limitations
+
+Users should keep in mind that the dataset contains short news texts (e.g., mostly titles), which might limit the applicability of the developed systems to other domains.
+
+
+## Additional Information 
+
+### Licensing Information
+The dataset is released under the [CC BY-NC Attribution-NonCommercial 4.0 International license](https://creativecommons.org/licenses/by-nc/4.0/).
+
+### Citation Infomation
+
+**BibTeX:**
+
+[More Information Needed]

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