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README.md

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+---
+license: apache-2.0
+task_categories:
+  - text-generation
+language:
+  - en
+tags:
+  - on-policy-distillation
+  - cross-tokenizer
+  - knowledge-distillation
+  - mathematics
+  - code
+size_categories:
+  - 10K<n<100K
+configs:
+  - config_name: default
+    data_files: mix-20k.jsonl
+---
+
+# BPM Training Prompts (mix-20k)
+
+[arXiv:2607.22334](https://arxiv.org/abs/2607.22334) · [Project page](https://bpm-opd.github.io/)
+
+Prompt corpus behind every reported result in **BPM** (Byte-Prefix Marginalization), a
+cross-tokenizer on-policy distillation method. Prompt-only.
+
+| Domain | Rows | Source | Upstream license |
+|---|---|---|---|
+| Mathematics | 10,000 | `dapo-17k` | Apache-2.0 |
+| Code | 10,000 | `taco:*` | Apache-2.0 |
+
+## Fields
+
+| Field | Type | Notes |
+|---|---|---|
+| `prompt` | list of `{role, content}` | Chat-format user turn |
+| `label` | string | Reference answer for mathematics; empty for code |
+| `domain` | string | `math` or `code` |
+| `source` | string | e.g. `dapo-17k`, `taco:codeforces` |
+| `metadata` | dict | `rm_type` (`dapo` / `code_sandbox`); code rows carry `tests` |
+| `difficulty` | string | Code rows: `EASY` / `MEDIUM` / `HARD` |
+| `idx`, `has_starter` | int, bool | Function-signature code rows |
+
+```python
+from datasets import load_dataset
+ds = load_dataset("K1zE/BPM", split="train")
+```
+
+Redistributed for research reproduction; items remain subject to their original sources' terms.
+
+## Citation
+
+```bibtex
+@misc{wang2026bpm,
+  title={Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization},
+  author={Hao Wang and Kun Yuan and Wenlin Zhong and Minglei Zhang and Han Xiao and Ming Sun and Honggang Qi},
+  year={2026},
+  archivePrefix={arXiv},
+  primaryClass={cs.LG},
+  eprint={2607.22334},
+}
+```

mix-20k.jsonl

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