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Dataset ยท Hugging Face

hkust-nlp/dart-math-uniform

๐ŸŽฏ DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving ๐Ÿ“ Paper@arXiv | ๐Ÿค— Datasets&Models@HF | ๐Ÿฑ Code@GitHub ๐Ÿฆ Thread@X(Twitter) | ๐Ÿถ ไธญๆ–‡ๅšๅฎข@็ŸฅไนŽ | ๐Ÿ“Š Leaderboard@PapersWithCode | ๐Ÿ“‘ BibTeX Datasets: DART-Math DART-Math datasets are the state-of-the-art and data-efficient open-source instruction tuning datasets for mathematical reasoning. Figure 1: Left: Average accuracy on 6 mathematical benchmarks. We compareโ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/hkust-nlp/dart-math-uniform.

Author / organizationhkust-nlp
License (as declared)mit
Downloads1.3K (as reported by Hugging Face)
Likes13
Created29 May 2024
Last updated at source2 August 2024
syntheticmathematics
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  • 16 Oct 2026 Description: ๐ŸŽฏ DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving ๐Ÿ“ Paper@arXiv | ๐Ÿค— Datasets&Models@HF | ๐Ÿฑ Code@GitHub ๐Ÿฆ Thread@X(Twitter) | ๐Ÿถ ไธญๆ–‡ๅšๅฎข@็ŸฅไนŽ | ๐Ÿ“Š Leaderboard@PapersWithCode | ๐Ÿ“‘ BibTeX Datasets: DART-Math DART- โ†’ ๐ŸŽฏ DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving ๐Ÿ“ Paper@arXiv&nbsp;|&nbsp;๐Ÿค— Datasets&Models@HF | ๐Ÿฑ Code@GitHub ๐Ÿฆ Thread@X(Twitter) | ๐Ÿถ ไธญๆ–‡ๅšๅฎข@็ŸฅไนŽ | ๐Ÿ“Š Leaderboard@PapersWithCode | ๐Ÿ“‘ BibTeX Datasets: DART-

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