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- # Dataset Card for UD_French_GSD_PLUS
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  ## Table of Contents
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  - [Dataset Card for [Needs More Information]](#dataset-card-for-needs-more-information)
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  ## Dataset Description
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- - **Homepage:** https://github.com/qanastek/UD_FRENCH_GSD_PLUS
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- - **Repository:** https://github.com/qanastek/UD_FRENCH_GSD_PLUS
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  - **Paper:** [Needs More Information]
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  - **Leaderboard:** [Needs More Information]
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  - **Point of Contact:** [email protected]
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  ### Dataset Summary
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- `UD_FRENCH_GSD_Plus` is a part-of-speech tagging corpora based on [UD_French-GSD](https://universaldependencies.org/treebanks/fr_gsd/index.html) which was originally created in 2015 and is based on the [universal dependency treebank v2.0](https://github.com/ryanmcd/uni-dep-tb).
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  Originally, the corpora consists of 400,399 words (16,341 sentences) and had 17 different classes. Now, after applying our tags augmentation script `transform.py`, we obtain 60 different classes which add semantic information such as: the gender, number, mood, person, tense or verb form given in the different CoNLL-U fields from the original corpora.
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  ### Dataset Curators
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- __UD_FRENCH_GSD_PLUS__: Labrak Yanis, Dufour Richard
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  __UD_FRENCH-GSD__: de Marneffe Marie-Catherine, Guillaume Bruno, McDonald Ryan, Suhr Alane, Nivre Joakim, Grioni Matias, Dickerson Carly, Perrier Guy
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+ # ANTILLES : An Open French Linguistically Enriched Part-of-Speech Corpus
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  ## Table of Contents
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  - [Dataset Card for [Needs More Information]](#dataset-card-for-needs-more-information)
 
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  ## Dataset Description
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+ - **Homepage:** https://github.com/qanastek/ANTILLES
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+ - **Repository:** https://github.com/qanastek/ANTILLES
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  - **Paper:** [Needs More Information]
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  - **Leaderboard:** [Needs More Information]
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  - **Point of Contact:** [email protected]
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  ### Dataset Summary
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+ `ANTILLES` is a part-of-speech tagging corpora based on [UD_French-GSD](https://universaldependencies.org/treebanks/fr_gsd/index.html) which was originally created in 2015 and is based on the [universal dependency treebank v2.0](https://github.com/ryanmcd/uni-dep-tb).
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  Originally, the corpora consists of 400,399 words (16,341 sentences) and had 17 different classes. Now, after applying our tags augmentation script `transform.py`, we obtain 60 different classes which add semantic information such as: the gender, number, mood, person, tense or verb form given in the different CoNLL-U fields from the original corpora.
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  ### Dataset Curators
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+ __ANTILLES__: Labrak Yanis, Dufour Richard
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  __UD_FRENCH-GSD__: de Marneffe Marie-Catherine, Guillaume Bruno, McDonald Ryan, Suhr Alane, Nivre Joakim, Grioni Matias, Dickerson Carly, Perrier Guy
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