laihuiyuan/mCoT-MATH
mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models Paper: https://arxiv.org/abs/2406.02301 Code: https://github.com/laihuiyuan/mCoT Model: https://huggingface.co/laihuiyuan/mCoT Introduction Based on MetaMathQA and MathInstruct , we use machine translation to compile mCoT-MATH, the first large-scale multilingual math CoT reasoning dataset containing around 6.4 million samples for 11 diverse languages. We train a 7B parameter model… See the full description on the dataset page: https://huggingface.co/datasets/laihuiyuan/mCoT-MATH.
| Author / organization | laihuiyuan |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 637 (as reported by Hugging Face) |
| Likes | 7 |
| Created | 2 April 2024 |
| Last updated at source | 17 April 2026 |
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Recent changes
- 17 Oct 2026 Description: mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models Paper: https://arxiv.org/abs/2406.02301 Code: https://github.com/laihuiyuan/mCoT Model: https://huggingface.co/laihuiyuan/mCoT Introduction Based on MetaMath → mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models Paper: https://arxiv.org/abs/2406.02301 Code: https://github.com/laihuiyuan/mCoT Model: https://huggingface.co/laihuiyuan/mCoT Introduction Based on MetaMath
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