Update files from the datasets library (from 1.2.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

.gitattributes

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README.md

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+---
+annotations_creators:
+- machine-generated
+language_creators:
+- crowdsourced
+languages:
+ all_languages:
+ - af
+ - ar
+ - az
+ - be
+ - ber
+ - bg
+ - bn
+ - br
+ - ca
+ - cbk
+ - cmn
+ - cs
+ - da
+ - de
+ - el
+ - en
+ - eo
+ - es
+ - et
+ - eu
+ - fi
+ - fr
+ - gl
+ - gos
+ - he
+ - hi
+ - hr
+ - hu
+ - hy
+ - ia
+ - id
+ - ie
+ - io
+ - is
+ - it
+ - ja
+ - jbo
+ - kab
+ - ko
+ - kw
+ - la
+ - lfn
+ - lt
+ - mk
+ - mr
+ - nb
+ - nds
+ - nl
+ - orv
+ - ota
+ - pes
+ - pl
+ - pt
+ - rn
+ - ro
+ - ru
+ - sl
+ - sr
+ - sv
+ - tk
+ - tl
+ - tlh
+ - toki
+ - tr
+ - tt
+ - ug
+ - uk
+ - ur
+ - vi
+ - vo
+ - war
+ - wuu
+ - yue
+ af:
+ - af
+ ar:
+ - ar
+ az:
+ - az
+ be:
+ - be
+ ber:
+ - ber
+ bg:
+ - bg
+ bn:
+ - bn
+ br:
+ - br
+ ca:
+ - ca
+ cbk:
+ - cbk
+ cmn:
+ - cmn
+ cs:
+ - cs
+ da:
+ - da
+ de:
+ - de
+ el:
+ - el
+ en:
+ - en
+ eo:
+ - eo
+ es:
+ - es
+ et:
+ - et
+ eu:
+ - eu
+ fi:
+ - fi
+ fr:
+ - fr
+ gl:
+ - gl
+ gos:
+ - gos
+ he:
+ - he
+ hi:
+ - hi
+ hr:
+ - hr
+ hu:
+ - hu
+ hy:
+ - hy
+ ia:
+ - ia
+ id:
+ - id
+ ie:
+ - ie
+ io:
+ - io
+ is:
+ - is
+ it:
+ - it
+ ja:
+ - ja
+ jbo:
+ - jbo
+ kab:
+ - kab
+ ko:
+ - ko
+ kw:
+ - kw
+ la:
+ - la
+ lfn:
+ - lfn
+ lt:
+ - lt
+ mk:
+ - mk
+ mr:
+ - mr
+ nb:
+ - nb
+ nds:
+ - nds
+ nl:
+ - nl
+ orv:
+ - orv
+ ota:
+ - ota
+ pes:
+ - pes
+ pl:
+ - pl
+ pt:
+ - pt
+ rn:
+ - rn
+ ro:
+ - ro
+ ru:
+ - ru
+ sl:
+ - sl
+ sr:
+ - sr
+ sv:
+ - sv
+ tk:
+ - tk
+ tl:
+ - tl
+ tlh:
+ - tlh
+ toki:
+ - toki
+ tr:
+ - tr
+ tt:
+ - tt
+ ug:
+ - ug
+ uk:
+ - uk
+ ur:
+ - ur
+ vi:
+ - vi
+ vo:
+ - vo
+ war:
+ - war
+ wuu:
+ - wuu
+ yue:
+ - yue
+licenses:
+- cc-by-2-0
+multilinguality:
+- multilingual
+size_categories:
+- n>1M
+source_datasets:
+- extended|other-tatoeba
+task_categories:
+- conditional-text-generation
+- text-classification
+task_ids:
+- conditional-text-generation-other-given-a-sentence-generate-a-paraphrase-either-in-same-language-or-another-language
+- machine-translation
+- semantic-similarity-classification
+---
+
+# Dataset Card for TaPaCo Corpus
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** [TaPaCo: A Corpus of Sentential Paraphrases for 73 Languages](https://zenodo.org/record/3707949#.X9Dh0cYza3I)
+- **Paper:** [TaPaCo: A Corpus of Sentential Paraphrases for 73 Languages](https://www.aclweb.org/anthology/2020.lrec-1.848.pdf)
+- **Point of Contact:** [Yves Scherrer](https://blogs.helsinki.fi/yvesscherrer/)
+
+### Dataset Summary
+A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. 
+Tatoeba is a crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences 
+and translations for particular linguistic constructions and words. The paraphrase corpus is created by populating a 
+graph with Tatoeba sentences and equivalence links between sentences “meaning the same thing”. This graph is then 
+traversed to extract sets of paraphrases. Several language-independent filters and pruning steps are applied to 
+remove uninteresting sentences. A manual evaluation performed on three languages shows that between half and three 
+quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, 
+or near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million 
+sentences, with 200 – 250 000 sentences per language. It covers a range of languages for which, to our knowledge,
+no other paraphrase dataset exists.
+
+### Supported Tasks and Leaderboards
+Paraphrase detection and generation have become popular tasks in NLP
+and are increasingly integrated into a wide variety of common downstream tasks such as machine translation
+, information retrieval, question answering, and semantic parsing. Most of the existing datasets
+ cover only a single language – in most cases English – or a small number of languages. Furthermore, some paraphrase
+  datasets focus on lexical and phrasal rather than sentential paraphrases, while others are created (semi
+  -)automatically using machine translation.
+
+The number of sentences per language ranges from 200 to 250 000, which makes the dataset
+more suitable for fine-tuning and evaluation purposes than
+for training. It is well-suited for multi-reference evaluation
+of paraphrase generation models, as there is generally not a
+single correct way of paraphrasing a given input sentence.
+
+### Languages
+
+The dataset contains paraphrases in Afrikaans, Arabic, Azerbaijani, Belarusian, Berber languages, Bulgarian, Bengali
+, Breton, Catalan; Valencian, Chavacano, Mandarin, Czech, Danish, German, Greek, Modern (1453-), English, Esperanto
+, Spanish; Castilian, Estonian, Basque, Finnish, French, Galician, Gronings, Hebrew, Hindi, Croatian, Hungarian
+, Armenian, Interlingua (International Auxiliary Language Association), Indonesian, Interlingue; Occidental, Ido
+, Icelandic, Italian, Japanese, Lojban, Kabyle, Korean, Cornish, Latin, Lingua Franca Nova\t, Lithuanian, Macedonian
+, Marathi, Bokmål, Norwegian; Norwegian Bokmål, Low German; Low Saxon; German, Low; Saxon, Low, Dutch; Flemish, ]Old
+ Russian, Turkish, Ottoman (1500-1928), Iranian Persian, Polish, Portuguese, Rundi, Romanian; Moldavian; Moldovan, 
+ Russian, Slovenian, Serbian, Swedish, Turkmen, Tagalog, Klingon; tlhIngan-Hol, Toki Pona, Turkish, Tatar, 
+ Uighur; Uyghur, Ukrainian, Urdu, Vietnamese, Volapük, Waray, Wu Chinese and Yue Chinese
+
+## Dataset Structure
+
+### Data Instances
+Each data instance corresponds to a paraphrase, e.g.:
+```
+{ 
+    'paraphrase_set_id': '1483',  
+    'sentence_id': '5778896',
+    'paraphrase': 'Ɣremt adlis-a.', 
+    'lists': ['7546'], 
+    'tags': [''],
+    'language': 'ber'
+}
+```
+
+### Data Fields
+Each dialogue instance has the following fields:
+- `paraphrase_set_id`:  a running number that groups together all sentences that are considered paraphrases of each
+ other
+- `sentence_id`: OPUS sentence id
+- `paraphrase`: Sentential paraphrase in a given language for a given paraphrase_set_id
+- `lists`: Contributors can add sentences to list in order to specify the original source of the data
+- `tags`: Indicates morphological or phonological properties of the sentence when available
+- `language`: Language identifier, one of the 73 languages that belong to this dataset.
+
+### Data Splits
+
+The dataset is having a single `train` split, contains a total of 1.9 million sentences, with 200 – 250 000
+ sentences per language
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+Creative Commons Attribution 2.0 Generic
+
+### Citation Information
+
+```
+@dataset{scherrer_yves_2020_3707949,
+  author       = {Scherrer, Yves},
+  title        = {{TaPaCo: A Corpus of Sentential Paraphrases for 73 Languages}},
+  month        = mar,
+  year         = 2020,
+  publisher    = {Zenodo},
+  version      = {1.0},
+  doi          = {10.5281/zenodo.3707949},
+  url          = {https://doi.org/10.5281/zenodo.3707949}
+}
+```

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