---
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`).