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  This dataset can be used for the task of Natural Language Inference (NLI), also known as Recognizing Textual Entailment (RTE), which is a sentence-pair classification task.
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- ### Languages
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- [More Information Needed]
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  ## Dataset Structure
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- ### Data Instances
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  ### Data Fields
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  - `pair_ID`: Sentence pair ID.
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  The dataset was machine translated from English to French using the latest neural machine translation [opus-mt-tc-big](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-fr) model available for French.
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  The translation of the sentences was carried out on November 26th, 2023.
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- ### Curation Rationale
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- ### Source Data
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- #### Initial Data Collection and Normalization
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- #### Who are the source language producers?
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- ### Annotations
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- #### Annotation process
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- #### Who are the annotators?
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- ### Personal and Sensitive Information
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- ## Considerations for Using the Data
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- ### Social Impact of Dataset
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- ### Discussion of Biases
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- ### Other Known Limitations
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  ## Additional Information
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- ### Dataset Curators
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- ### Licensing Information
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  ### Citation Information
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  **BibTeX:**
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  ### Acknowledgements
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- This translation of the original dataset was done as part of a research project supported by the Defence Innovation Agency (AID) of the Directorate General of Armament (DGA) of the French Ministry of Armed Forces, and by the ICO, _Institut Cybersécurité Occitanie_, funded by Région Occitanie, France.
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- ### Contributions
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- [More Information Needed]
 
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  This dataset can be used for the task of Natural Language Inference (NLI), also known as Recognizing Textual Entailment (RTE), which is a sentence-pair classification task.
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  ## Dataset Structure
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  ### Data Fields
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  - `pair_ID`: Sentence pair ID.
 
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  The dataset was machine translated from English to French using the latest neural machine translation [opus-mt-tc-big](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-fr) model available for French.
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  The translation of the sentences was carried out on November 26th, 2023.
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  ## Additional Information
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  ### Citation Information
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  **BibTeX:**
 
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  ### Acknowledgements
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+ This translation of the original dataset was done as part of a research project supported by the Defence Innovation Agency (AID) of the Directorate General of Armament (DGA) of the French Ministry of Armed Forces, and by the ICO, _Institut Cybersécurité Occitanie_, funded by Région Occitanie, France.