metadata
license: apache-2.0
task_categories:
- text-generation
tags:
- math
- code
- on-policy-distillation
A2-OPD Dataset
This dataset accompanies the paper Rethinking Relative Policy Differences Transfer of On-Policy Distillation.
Code: https://github.com/KnowledgeXLab/A2-OPD
The dataset is organized by math/ and code/ folders and contains training and evaluation data for the A2-OPD experiments.
Dataset Structure
| Path | Split | Used for |
|---|---|---|
math/train.parquet |
train | DeepMath-103K training |
math/test.parquet |
test | Training validation and offline math eval |
code/train.parquet |
train | Eurus-RL-Code training |
code/validation.parquet |
validation | Training validation during code RL |
code/benchmarks/Humaneval_Plus/HumanEvalPlus.jsonl |
test | Offline HumanEval+ |
code/benchmarks/Mbpp_Plus/MbppPlus.jsonl |
test | Offline MBPP+ |
code/benchmarks/LivecodeBench/test.jsonl |
test | Offline LiveCodeBench |
Training data must be in verl parquet format. Each row needs fields such as data_source, prompt, ability, reward_model.ground_truth, and optional extra_info.
Sample Usage
# One-click download (requires huggingface_hub: `hf` or `huggingface-cli`)
hf download KnowledgeXLab/A2-OPD --repo-type dataset --local-dir data
export A2OPD_DATA_ROOT=$PWD/data # default layout matches training/eval scripts