| --- |
| license: cc-by-nc-4.0 |
| language: |
| - en |
| pretty_name: FML project, multi-teacher distillation data (experiment 2) |
| tags: |
| - knowledge-distillation |
| - math |
| - code |
| task_categories: |
| - text-generation |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # Multi-teacher distillation data (CS725 course project, experiment 2) |
|
|
| Training data for distilling **Qwen2.5-Math-7B-Instruct** (math) and **Qwen2.5-Coder-7B-Instruct** (code) into a small |
| student (Qwen2.5-1.5B-Instruct). Files are in [`exp2/`](exp2/); `exp2/README.md` describes every file and how the data |
| was built (`exp2/gen_data.py`). |
|
|
| Each row holds token ids (Qwen2.5 vocabulary) of `prompt` (the teacher's chat template and system prompt), `response` |
| (the teacher's own answer, greedy decoding) and `gold` (the dataset's reference answer). The last 200 rows of each file |
| are validation rows. |
|
|
| | File | Rows | Sources | |
| |---|---|---| |
| | `exp2/math.jsonl` | 14,559 | GSM8K train + MATH train | |
| | `exp2/code.jsonl` | 14,956 | KodCode-Light-RL-10K + KodCode-V1 | |
| | `exp2/math_hard_val.jsonl` | 200 | MATH train (held out) | |
|
|
| ## Sources and licenses |
|
|
| - **GSM8K** (`openai/gsm8k`, train split) — MIT. |
| - **MATH** (`EleutherAI/hendrycks_math`, train split; Hendrycks et al., 2021) — MIT. |
| - **KodCode** (`KodCode/KodCode-Light-RL-10K`, `KodCode/KodCode-V1`; Xu et al., 2025) — **CC BY-NC 4.0: non-commercial |
| use only, with attribution.** Because the code rows derive from KodCode, this dataset is released under CC BY-NC 4.0. |
| - **Teacher answers** generated with Qwen2.5-Math-7B-Instruct and Qwen2.5-Coder-7B-Instruct (Apache-2.0). |
|
|
| Teacher answers are not filtered for correctness (the math teacher is right on ~96% of GSM8K and ~83% of MATH rows). |
| Overlap with the GSM8K test set, MATH-500, HumanEval(+) and MBPP(+) was removed (see `exp2/README.md`). |
|
|
