Add train and held-out datasets with upstream MIT license and attribution

LICENSE

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+MIT License
+
+Copyright (c) 2025 Zhiwei He
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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 ---
-license: apache-2.0
+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.
+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.

held-out.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bd5252ba27120ac719396096ab6a707e52f0ea4f8edb20ff9c1d05c381441a56
+size 54949

train.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0c69a68d7298ad17ec2790bf3f01bcae24ad3a02e52ba8c5d106bf2d7ae5dbac
+size 184207