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dleemiller/FineCat-NLI-Reason

FineCat-NLI-Reason A broad-coverage natural language inference training set (premise / hypothesis / label), with short reasoning traces and synthetic structural counterexamples. It extends FineCat-NLI with domain sources (clinical, scientific, legal, financial, fact-checking, RAG faithfulness, dialogue) and robustness data (monotonicity, negation, veridicality). Configs config rows columns fast (default) 2,015,619 train / 33,357 validation premise… See the full description on the dataset page: https://huggingface.co/datasets/dleemiller/FineCat-NLI-Reason.

Author / organizationdleemiller
License (as declared)other
Downloads209 (as reported by Hugging Face)
Likes0
Created28 September 2026
Last updated at source6 October 2026
nlinatural-language-inferencereasoningsynthetic
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