| tags: | |
| - hetu | |
| - mathreasoning | |
| - cotgen | |
| # HETU-MathReasoning-CotGen-Data | |
| Training data for the **HETU (Hints Enable True Understanding)** paper. | |
| - **Task:** math reasoning (AIME, GSM8K, MATH-500, Omni-MATH, GPQA-Diamond, MMLU) | |
| - **Method:** CotGen | |
| - **Examples:** 3,481 train / 35-36 held-out val | |
| - **Format:** ShareGPT (`system` + `conversations: [{from, value}]`), used for LoRA SFT via LLaMA-Factory. | |
| Single-turn ShareGPT conversations, curated DeepSeek-R1-style math reasoning distillation. Each row: the raw math/logic problem (human turn) and the full teacher chain-of-thought plus a boxed final answer (gpt turn), with loss computed over the entire gpt turn. | |
| Files: | |
| - `train.json` -- training split | |
| - `val.json` -- held-out validation split | |
| See the HETU paper for full dataset construction methodology, and the corresponding | |
| `HETU-*-MathReasoning-CotGen` model repos for checkpoints trained on this data. | |