lavis-nlp/CALIBRI
CALIBRI Dataset Dataset Description CALIBRI is a comprehensive dataset for studying calibration in LLM-based code generation. It contains code generations from multiple state-of-the-art language models across three established benchmarks, along with token-level likelihood information for calibration analysis and correctness labels, based on the benchmark-provided test suites. Each sample provides 10 different generations for one problem. Dataset… See the full description on the dataset page: https://huggingface.co/datasets/lavis-nlp/CALIBRI.
| Author / organization | lavis-nlp |
|---|---|
| License (as declared) | mit |
| Downloads | 967 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 24 October 2025 |
| Last updated at source | 18 March 2026 |
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- 17 Oct 2026 Description: CALIBRI Dataset Dataset Description CALIBRI is a comprehensive dataset for studying calibration in LLM-based code generation. It contains code generations from multiple state-of-the-art language models across three established benchmarks, a → CALIBRI Dataset Dataset Description CALIBRI is a comprehensive dataset for studying calibration in LLM-based code generation. It contains code generations from multiple state-of-the-art language models across three established benchmarks, a
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