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DN-MOPD training prompt sets (student 2,700; teacher math/code/IF 8,000 each)

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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ student/train_3domain.jsonl filter=lfs diff=lfs merge=lfs -text
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+ teacher/code_train.jsonl filter=lfs diff=lfs merge=lfs -text
DATA_LICENSES.md ADDED
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+ # Data licenses
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+
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+ The code in `data/build/` is licensed under Apache-2.0, like the rest of the repository's code. The prompt sets in
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+ `data/student/` and `data/teacher/` mix rows from public datasets, which keep their original licenses, with synthetic
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+ rows that we release. Licenses were read from the Hugging Face dataset cards on 2026-09-28.
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+
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+ | Rows | Source | License |
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+ |---|---|---|
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+ | math: every `domain == "math"` row | [zwhe99/DeepMath-103K](https://huggingface.co/datasets/zwhe99/DeepMath-103K) (rev. `5cf055d`) | MIT |
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+ | code: every `domain == "code"` row | [PRIME-RL/Eurus-2-RL-Data](https://huggingface.co/datasets/PRIME-RL/Eurus-2-RL-Data) (rev. `9776b13`) | MIT |
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+ | IF: every `domain == "ifeval"` row | generated by `data/build/gen_ifeval_data.py` (ours) | CC BY 4.0 |
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+ | `data/build/ids/*.json`, `data/MANIFEST.json` | ours | CC BY 4.0 |
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+
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+ ## Code sub-sources
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+
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+ Eurus-2-RL-Data takes its code problems from four datasets. The `metadata.data_source` field of every code row names
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+ its sub-source.
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+
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+ | `data_source` | Dataset named by Eurus-2-RL-Data | License on its dataset card |
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+ |---|---|---|
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+ | `codecontests` | [deepmind/code_contests](https://huggingface.co/datasets/deepmind/code_contests) | CC BY 4.0 |
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+ | `taco` | [BAAI/TACO](https://huggingface.co/datasets/BAAI/TACO) | Apache-2.0 |
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+ | `apps` | [codeparrot/apps](https://huggingface.co/datasets/codeparrot/apps) | MIT |
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+ | `codeforces` | [MatrixStudio/Codeforces-Python-Submissions](https://huggingface.co/datasets/MatrixStudio/Codeforces-Python-Submissions) | unverified: the card states no license |
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+
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+ The problem statements in these datasets come from competitive-programming sites, including Codeforces, AtCoder,
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+ CodeChef, Kattis and others. Their copyright stays with the original authors. We redistribute them only as part of
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+ the upstream datasets, under the terms those datasets state.
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+
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+ ## Intermediate copy
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+
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+ The paper's pools were read from [Keven16/G-OPD-Training-Data](https://huggingface.co/datasets/Keven16/G-OPD-Training-Data)
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+ (rev. `c9bc678`). Its card states Apache-2.0.
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+
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+ Its math and code files add nothing beyond the operations described in `data/README.md`:
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+ - filtering and deduplicating DeepMath-103K;
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+ - dropping the Eurus system message;
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+ - appending a one-line instruction to each prompt.
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+
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+ `build_data.py --source upstream` therefore rebuilds every row from the two MIT-licensed originals alone.
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+
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+ ## Attribution
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+
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+ If you use these prompt sets, please cite the upstream datasets:
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+ - DeepMath-103K (He et al., 2025);
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+ - Eurus-2-RL-Data / PRIME (Cui et al., 2025);
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+ - CodeContests (Li et al., 2022);
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+ - TACO (Li et al., 2023);
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+ - APPS (Hendrycks et al., 2021).
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+
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+ Please also cite the DN-MOPD paper for the IF prompts and the selection.
MANIFEST.json ADDED
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+ {
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+ "description": "Released training prompt sets of DN-MOPD. Check or rebuild with data/build/build_data.py.",
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+ "row_schema": {
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+ "prompt": "chat messages [{role, content}] (student, math, code) or a plain string (teacher IF; the trainer wraps it as one user message)",
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+ "label": "math: reference answer; code: JSON string {inputs, outputs} of test cases; IF: JSON string list of constraints",
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+ "domain": "math | code | ifeval",
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+ "teacher": "teacher routing name (= domain)",
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+ "metadata": "{domain, data_source, src_index}: domain selects the verifier; src_index is the row's position in its source pool"
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+ },
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+ "files": {
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+ "student/train_3domain.jsonl": {
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+ "sha256": "5317739721646bd5394775eaef0019e4fded5ac5b8d481e61a2ba8bd754ac08e",
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+ "bytes": 45968876,
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+ "rows": 2700,
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+ "domains": {
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+ "code": 900,
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+ "ifeval": 900,
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+ "math": 900
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+ },
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+ "data_sources": {
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+ "DeepMath-103K": 900,
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+ "apps": 156,
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+ "codecontests": 370,
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+ "codeforces": 92,
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+ "synthetic-ifeval-v1": 900,
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+ "taco": 282
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+ },
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+ "in_git": true,
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+ "used_by": "every student run (Label, DN-MOPD, single-teacher OPD, uniform pool, dynamic router, annealed injection, SeqKD-SFT generation, controls)"
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+ },
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+ "teacher/math_train.jsonl": {
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+ "sha256": "60ef3d6dee3b405a81ed51d8b646e403228bd6f49e3412a987f90783da4e331c",
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+ "bytes": 3838298,
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+ "rows": 8000,
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+ "domains": {
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+ "math": 8000
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+ },
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+ "data_sources": {
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+ "DeepMath-103K": 8000
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+ },
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+ "in_git": true,
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+ "used_by": "GRPO math teachers"
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+ },
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+ "teacher/code_train.jsonl": {
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+ "sha256": "f52b5143f0ed1721e1bba3d997e432151794a09e03b60c045ecaa3c764d5c9e8",
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+ "bytes": 917096848,
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+ "rows": 8000,
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+ "domains": {
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+ "code": 8000
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+ },
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+ "data_sources": {
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+ "apps": 1087,
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+ "codecontests": 3069,
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+ "codeforces": 853,
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+ "taco": 2991
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+ },
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+ "in_git": false,
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+ "used_by": "GRPO code teachers"
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+ },
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+ "teacher/if_train.jsonl": {
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+ "sha256": "60b169a376ed9fffc445b1ffb8a7adfe81d7c9ffacc7b253324385b2367d96d8",
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+ "bytes": 3722418,
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+ "rows": 8000,
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+ "domains": {
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+ "ifeval": 8000
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+ },
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+ "data_sources": {
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+ "synthetic-ifeval-v1": 8000
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+ },
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+ "in_git": true,
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+ "used_by": "GRPO IF teachers"
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+ }
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+ }
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+ }
README.md ADDED
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+ ---
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+ pretty_name: DN-MOPD Training Prompts
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+ license:
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+ - mit
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+ - cc-by-4.0
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+ language:
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+ - en
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+ task_categories:
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+ - text-generation
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+ tags:
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+ - on-policy-distillation
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+ - multi-teacher-distillation
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+ - reinforcement-learning
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+ - math
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+ - code
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+ - instruction-following
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+ size_categories:
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+ - 10K<n<100K
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+ configs:
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+ - config_name: student
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+ data_files:
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+ - split: train
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+ path: student/train_3domain.jsonl
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+ - config_name: teacher_math
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+ data_files:
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+ - split: train
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+ path: teacher/math_train.jsonl
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+ - config_name: teacher_code
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+ data_files:
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+ - split: train
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+ path: teacher/code_train.jsonl
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+ - config_name: teacher_if
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+ data_files:
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+ - split: train
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+ path: teacher/if_train.jsonl
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+ ---
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+
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+ # DN-MOPD Training Prompts
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+
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+ These are the exact prompt sets used in the Qwen3.5 experiments of
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+ **Beyond Teacher Assignment: Domain-Normalized Multi-Teacher On-Policy Distillation** (DN-MOPD).
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+
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+ - **Project page:** https://lixin.ai/DN-MOPD
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+ - **Code:** https://github.com/LiXin97/DN-MOPD
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+ - **Paper:** arXiv link coming soon
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+
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+ The code repository downloads these files into `data/` with the same paths.
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+
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+ ## Files
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+
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+ | Config | File | Rows | Used by |
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+ |---|---|---|---|
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+ | `student` | `student/train_3domain.jsonl` | 2,700 (900 math, 900 code, 900 IF) | every student run: Label, DN-MOPD, single-teacher OPD, uniform pool, dynamic router, annealed injection, the controls, SeqKD-SFT generation |
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+ | `teacher_math` | `teacher/math_train.jsonl` | 8,000 | GRPO math teachers |
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+ | `teacher_code` | `teacher/code_train.jsonl` | 8,000 (917 MB, mostly test cases) | GRPO code teachers |
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+ | `teacher_if` | `teacher/if_train.jsonl` | 8,000 | GRPO instruction-following (IF) teachers |
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+
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+ `MANIFEST.json` lists the sha256, size, row count and source counts of every file.
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+ `ids/student_math_code_ids.json` lists the 1,800 math and code prompts selected for the student set.
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+
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+ ## Row schema
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+
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+ ```json
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+ {"prompt": [{"content": "...", "role": "user"}],
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+ "label": "...",
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+ "domain": "math",
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+ "teacher": "math",
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+ "metadata": {"domain": "math", "data_source": "DeepMath-103K", "src_index": 13934}}
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+ ```
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+
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+ | Field | Meaning |
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+ |---|---|
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+ | `prompt` | One user message. The chat template is applied with `enable_thinking=false`. In `teacher/if_train.jsonl` the prompt is a plain string, which the trainer wraps as one user message. |
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+ | `label` | **math:** the reference answer, graded by a rule-based math verifier. **code:** a JSON string `{"inputs": [...], "outputs": [...]}` of stdin/stdout test cases. **IF:** a JSON list of verifiable constraints. |
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+ | `domain` / `metadata.domain` | `math`, `code` or `ifeval`. It selects the verifier and the teacher, and it is the domain DN-MOPD normalizes over. |
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+ | `teacher` | The teacher that scores the prompt under label routing; always equal to `domain`. |
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+ | `metadata.data_source`, `metadata.src_index` | The source dataset, and the row's position in its source pool. |
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+
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+ ## How the files were built
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+
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+ **Math pool** (57,046 prompts) comes from [DeepMath-103K](https://huggingface.co/datasets/zwhe99/DeepMath-103K) (rev. `5cf055d`).
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+ - Questions are deduplicated by text in first-occurrence order.
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+ - A question is kept if any of its occurrences has difficulty ≥ 6.
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+ - Each prompt is followed by the line "Please reason step by step, and put your final answer within \boxed{}."
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+
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+ **Code pool** (25,276 prompts) is every code row of [Eurus-2-RL-Data](https://huggingface.co/datasets/PRIME-RL/Eurus-2-RL-Data) (rev. `9776b13`).
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+ - The system message is dropped.
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+ - Each user message is followed by the line "You need to think first then write the Python code."
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+
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+ **IF prompts** are 8,000 generated writing tasks.
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+ - Each carries 1–3 verifiable constraints from a closed set of 19 types.
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+ - Every constraint set is checked so that an empty answer fails it.
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+ - No third-party text is used.
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+
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+ **Student set.**
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+ - **Math and code:** 900 math and 900 code prompts, chosen before the Qwen3.5 experiments as prompts whose Qwen3-4B pass rate lay in [0.125, 0.875]. The pass rate was measured from 8 samples at temperature 1.0.
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+ - **IF:** 900 of the IF prompts.
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+ - The combined set was shuffled with seed 42.
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+
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+ **Teacher pools** start from the student rows of their domain and extend through the source pool to 8,000 rows, skipping duplicates. The IF teacher uses all 8,000 generated prompts.
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+
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+ `data/build/build_data.py` in the code repository rebuilds all four files byte for byte from the public sources. The one input it cannot recompute is the choice of the 1,800 student math/code prompts, which is published as ids.
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+
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+ ## Licenses
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+
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+ | Rows | Source | License |
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+ |---|---|---|
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+ | math | [zwhe99/DeepMath-103K](https://huggingface.co/datasets/zwhe99/DeepMath-103K) | MIT |
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+ | code | [PRIME-RL/Eurus-2-RL-Data](https://huggingface.co/datasets/PRIME-RL/Eurus-2-RL-Data) | MIT |
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+ | IF (`ifeval`) | generated by the DN-MOPD authors | CC BY 4.0 |
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+ | `MANIFEST.json`, `ids/` | DN-MOPD authors | CC BY 4.0 |
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+
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+ Eurus-2-RL-Data draws its code problems from four datasets:
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+ - CodeContests (CC BY 4.0)
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+ - TACO (Apache-2.0)
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+ - APPS (MIT)
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+ - Codeforces submissions (no license stated on its card)
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+
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+ The problem statements originate from competitive-programming sites, and their copyright stays with the original authors. See `DATA_LICENSES.md` for details.
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+
121
+ Some code test cases contain strings that look like IP addresses or access keys. They come from programming problems about parsing such strings and are kept unchanged because the reward uses them.
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+
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+ ## Citation
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+
125
+ ```bibtex
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+ @misc{li2026dnmopd,
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+ title = {Beyond Teacher Assignment: Domain-Normalized Multi-Teacher On-Policy Distillation},
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+ author = {Li, Xin and Jiang, Hao and Gao, Xin and Wang, Annan and Xie, Yuchen and Guo, Jinghao and Qu, Xingwei and Zhang, Yichi and Yuen, Chau},
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+ year = {2026},
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+ url = {https://lixin.ai/DN-MOPD}
131
+ }
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+ ```
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+
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+ Please also cite the upstream datasets:
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+ - DeepMath-103K (He et al., 2025)
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+ - Eurus-2-RL-Data / PRIME (Cui et al., 2025)
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+ - CodeContests (Li et al., 2022)
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+ - TACO (Li et al., 2023)
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+ - APPS (Hendrycks et al., 2021)
ids/student_math_code_ids.json ADDED
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+ {
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+ "description": "The 900 math and 900 code prompts of the student set, as positions (src_index) in the math and code pools that build_data.py derives from DeepMath-103K and Eurus-2-RL-Data. They were selected as prompts whose pass rate under Qwen3-4B (8 samples, temperature 1.0, top-p 0.95, non-thinking chat template) lay in [0.125, 0.875], then a random 900 per domain with seed 42. Those pass rates come from a model outside the paper and are not released, so the selection is published as these ids.",
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+ "order": "ascending; the student set interleaves math[i], code[i] before the seed-42 shuffle (see build_data.py)",
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+ "math": [55, 70, 139, 202, 248, 291, 300, 366, 399, 621, 665, 738, 816, 885, 1052, 1061, 1097, 1152, 1298, 1395, 1444, 1557, 1607, 1674, 1748, 1975, 2215, 2228, 2233, 2322, 2368, 2397, 2679, 2750, 2786, 2805, 2875, 2892, 2968, 3025, 3042, 3093, 3221, 3239, 3251, 3260, 3360, 3512, 3547, 3582, 3619, 3688, 4060, 4073, 4145, 4187, 4325, 4369, 4487, 4500, 4503, 4544, 4546, 4627, 4715, 4873, 4892, 4937, 4970, 5110, 5142, 5165, 5189, 5272, 5610, 5616, 5622, 5655, 5678, 5743, 5773, 5820, 5999, 6073, 6077, 6115, 6272, 6294, 6369, 6407, 6504, 6563, 6581, 6605, 6685, 6745, 6788, 6833, 6990, 7127, 7178, 7198, 7314, 7392, 7537, 7604, 7654, 7661, 7675, 7696, 7716, 7743, 7772, 7783, 7812, 7833, 7924, 7941, 7955, 7986, 8102, 8138, 8185, 8257, 8278, 8367, 8392, 8413, 8429, 8501, 8667, 8814, 8817, 8838, 8933, 8959, 8981, 8994, 9012, 9080, 9153, 9164, 9380, 9473, 9512, 9556, 9560, 9681, 9709, 9826, 10088, 10139, 10178, 10189, 10290, 10349, 10380, 10394, 10399, 10420, 10454, 10526, 10777, 10799, 10916, 10970, 10973, 11065, 11108, 11134, 11171, 11185, 11188, 11231, 11326, 11359, 11390, 11406, 11425, 11506, 11621, 11719, 11816, 11835, 11848, 11894, 12006, 12046, 12150, 12200, 12409, 12437, 12468, 12643, 12720, 12761, 12780, 12782, 12806, 12877, 12884, 12907, 12944, 13108, 13224, 13365, 13401, 13485, 13523, 13526, 13558, 13566, 13907, 13934, 13953, 14060, 14119, 14121, 14127, 14174, 14263, 14279, 14300, 14380, 14643, 14649, 14665, 14812, 14833, 14934, 15034, 15209, 15303, 15514, 15517, 15636, 15648, 15711, 15960, 16034, 16066, 16186, 16242, 16344, 16539, 16563, 16615, 16673, 16731, 16736, 16754, 16932, 17032, 17090, 17121, 17176, 17178, 17194, 17302, 17340, 17357, 17382, 17450, 17453, 17573, 17624, 17673, 17704, 17739, 17760, 17780, 17872, 17876, 17933, 17964, 18066, 18141, 18145, 18268, 18282, 18359, 18395, 18504, 18563, 18572, 18655, 18699, 18704, 18841, 19050, 19085, 19215, 19498, 19519, 19637, 19646, 19708, 19733, 19836, 19997, 20006, 20093, 20102, 20183, 20326, 20353, 20365, 20553, 20661, 20735, 20811, 20994, 21100, 21239, 21258, 21273, 21298, 21325, 21371, 21426, 21430, 21453, 21507, 21544, 21598, 21717, 21753, 22045, 22146, 22198, 22260, 22264, 22284, 22292, 22305, 22337, 22508, 22810, 22813, 22893, 23218, 23327, 23528, 23588, 23599, 23657, 23696, 23705, 23769, 23783, 23819, 23875, 23932, 24000, 24004, 24027, 24058, 24198, 24312, 24469, 24503, 24575, 24599, 24660, 24672, 24691, 24756, 24778, 24790, 24908, 25010, 25063, 25103, 25215, 25267, 25271, 25281, 25372, 25598, 25606, 25644, 25758, 25759, 25770, 25882, 25932, 26008, 26039, 26113, 26177, 26193, 26256, 26270, 26392, 26418, 26435, 26465, 26607, 26654, 26708, 26781, 26841, 26856, 26869, 26923, 26926, 26943, 26994, 27045, 27089, 27092, 27145, 27339, 27356, 27398, 27463, 27474, 27488, 27509, 27518, 27578, 27583, 27592, 27653, 27729, 27778, 27843, 27848, 27918, 27944, 27946, 27995, 28058, 28089, 28116, 28151, 28189, 28278, 28307, 28309, 28404, 28417, 28426, 28613, 28699, 28768, 28873, 29094, 29193, 29297, 29370, 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