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, released as training and held-out data for 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
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 is marked as MIT-licensed. This distribution retains the MIT license and includes the complete upstream LICENSE, copied from the official DeepMath project, 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, He et al., 2025.