| --- |
| license: mit |
| language: |
| - en |
| source_datasets: |
| - zwhe99/DeepMath-103K |
| tags: |
| - math |
| - reasoning |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: train.parquet |
| - split: validation |
| path: held-out.parquet |
| --- |
| |
| # ResOPD-deepmath |
|
|
| A processed subset derived from [DeepMath-103K](https://huggingface.co/datasets/zwhe99/DeepMath-103K), released as training and held-out data for [ResOPD](https://github.com/InternLM/ResOPD). |
| This is a derivative dataset, not the official DeepMath release. |
|
|
| ## Files |
|
|
| | File | Dataset split | Examples | |
| | --- | --- | ---: | |
| | `train.parquet` | `train` | 1,024 | |
| | `held-out.parquet` | `validation` | 252 | |
|
|
| The Parquet files are published unchanged from the supplied processed files; only their repository filenames have been changed. |
| The held-out file is exposed as the `validation` split when loading with Hugging Face Datasets. |
|
|
| The records contain `data_source`, `prompt`, `ability`, `reward_model`, and `extra_info` fields. |
|
|
| ## Loading |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("ygyjrc/ResOPD-deepmath") |
| train = dataset["train"] |
| held_out = dataset["validation"] |
| ``` |
|
|
| ## Source and license |
|
|
| The upstream [DeepMath-103K dataset](https://huggingface.co/datasets/zwhe99/DeepMath-103K) is marked as MIT-licensed. |
| This distribution retains the MIT license and includes the complete upstream [LICENSE](LICENSE), copied from the [official DeepMath project](https://github.com/zwhe99/DeepMath/blob/main/LICENSE), including its original copyright notice: |
|
|
| Copyright (c) 2025 Zhiwei He |
|
|
| Credit for the original dataset belongs to the DeepMath authors. Please retain the copyright and permission notices when redistributing copies or substantial portions. |
|
|
| Original work: [DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning](https://arxiv.org/abs/2504.11456), He et al., 2025. |
|
|
