yoavgurarieh/BonaFide
BonaFide This is a dataset containing ground-truth faithfulness labels for chains of thought (CoTs), used for evaluating CoT faithfulness metrics. The current benchmark results are in the BonaFide benchmark space. Methodology We construct tasks whose outputs reveal which intermediate computations must have produced them, then label CoTs against those computations. Diversionary setting. Each question is given alongside a misleading hint pointing to a random wrong… See the full description on the dataset page: https://huggingface.co/datasets/yoavgurarieh/BonaFide.
| Author / organization | yoavgurarieh |
|---|---|
| License (as declared) | mit |
| Downloads | 487 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 13 May 2026 |
| Last updated at source | 26 May 2026 |
Popularity, last 3 days
487 now (+4 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
Recent changes
- 17 Oct 2026 Description: BonaFide This is a dataset containing ground-truth faithfulness labels for chains of thought (CoTs), used for evaluating CoT faithfulness metrics. The current benchmark results are in the BonaFide benchmark space. Methodology We construct t → BonaFide This is a dataset containing ground-truth faithfulness labels for chains of thought (CoTs), used for evaluating CoT faithfulness metrics. The current benchmark results are in the BonaFide benchmark space. Methodology We construct t
Changes detected by Silytics between refreshes of the source.
Related papers
More from yoavgurarieh
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.