Datasets:

maximoss
/

gqnli-fr

Tasks:

Text Classification

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Sub-tasks:

natural-language-inference

multi-input-text-classification

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maximoss commited on Apr 16

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@@ -74,7 +74,9 @@ This dataset can be used for the task of Natural Language Inference (NLI), also
 **ACL:**
 Maximos Skandalis, Richard Moot, Christian Retoré, and Simon Robillard. 2024. *New datasets for automatic detection of textual entailment and of contradictions between sentences in French*. 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Turin, Italy. European Language Resources Association (ELRA) and International Committee on Computational Linguistics (ICCL).
 And
 Ruixiang Cui, Daniel Hershcovich, and Anders Søgaard. 2022. [Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks](https://aclanthology.org/2022.naacl-main.359). In *Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*, pages 4875–4893, Seattle, United States. Association for Computational Linguistics.
 ### Acknowledgements

 **ACL:**
 Maximos Skandalis, Richard Moot, Christian Retoré, and Simon Robillard. 2024. *New datasets for automatic detection of textual entailment and of contradictions between sentences in French*. 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Turin, Italy. European Language Resources Association (ELRA) and International Committee on Computational Linguistics (ICCL).
 And
 Ruixiang Cui, Daniel Hershcovich, and Anders Søgaard. 2022. [Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks](https://aclanthology.org/2022.naacl-main.359). In *Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*, pages 4875–4893, Seattle, United States. Association for Computational Linguistics.
 ### Acknowledgements