Datasets:
| task_categories: | |
| - text-generation | |
| tags: | |
| - distillation | |
| - llm | |
| - on-policy-distillation | |
| # Do We Really Need KL Divergence for On-Policy Distillation of Large Language Models? | |
| This dataset supports the paper [Do We Really Need KL Divergence for On-Policy Distillation of Large Language Models?](https://huggingface.co/papers/2609.33791). It contains training and evaluation data for on-policy distillation (OPD) experiments, including BinaryOPD, positive/negative reward experiments, and consensus multi-teacher on-policy distillation (C-MOPD). | |
| Code and additional details are available in the [GitHub repository](https://github.com/LeapLabTHU/KL-Free-OPD). | |
| ## Dataset Structure | |
| | Split | File | Content | | |
| |----------|-----------------------------------------|----------------------------------------------------------------| | |
| | `train/` | `DAPO-Math-17k.parquet` | DAPO math training set | | |
| | `train/` | `DeepMath-103K-filtered-level6.parquet` | DeepMath, difficulty ≥ 6 | | |
| | `train/` | `Eurus-RL-Data-code.parquet` | Eurus code training set | | |
| | `train/` | `math_and_code.parquet` | Balanced DeepMath + Eurus mixture for MOPD/C-MOPD | | |
| | `eval/` | `math_eval.parquet` | AIME24/25, AMC, MATH500, Minerva, OlympiadBench, IMO-Bench | | |
| | `eval/` | `livecodebench_v6.parquet` | LiveCodeBench v6 evaluation slice | | |
| | `eval/` | `HumanEval.parquet` | HumanEval | | |
| | `eval/` | `MBPP.parquet` | MBPP | | |
| ## Usage | |
| Please refer to the [GitHub README](https://github.com/LeapLabTHU/KL-Free-OPD) for training scripts, reward variants, multi-teacher distillation experiments, and evaluation instructions. |