nutrientdocs/grounding-benchmark
Grounding Benchmark Is a claim actually supported by the document it cites? This benchmark evaluates value grounding — whether a short hypothesis (a number, date, or fact) is entailed by a premise drawn from a real document (financial tables, filings, Wikipedia tables, prose evidence). It is a binary NLI task framed for the document-AI setting, with a deliberate focus on the case general NLI models fail: numeric and date grounding, and hard negatives that are lexically close but… See the full description on the dataset page: https://huggingface.co/datasets/nutrientdocs/grounding-benchmark.
| Author / organization | nutrientdocs |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 176 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 14 July 2026 |
| Last updated at source | 15 July 2026 |
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- nutrientdocs/grounding-enModel · used to train
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