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diyer22/Panda-CVL-test

Panda-CVL Test Split This dataset is based on the paper onPanda: Efficient Annotation of On-Policy Alignment Data for LLMs and Agents via Token-Level Correction. Code is available at GitHub. Overview Panda-CVL is a token-level correction dataset and benchmark annotated with the onPanda tool. Given a question-response pair, the model first judges whether the response is acceptable. If correction is needed, it must locate the first inappropriate token and replace it… See the full description on the dataset page: https://huggingface.co/datasets/diyer22/Panda-CVL-test.

Author / organizationdiyer22
License (as declared)cc0-1.0
Downloads998 (as reported by Hugging Face)
Likes0
Created22 September 2026
Last updated at source23 September 2026
token-level-correctiontoken-levelself-correctiononPanda
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