Buckets:
| tags: | |
| - trl | |
| # DeepMath-103K Dataset | |
| ## Summary | |
| [DeepMath-103K](https://huggingface.co/datasets/zwhe99/DeepMath-103K) is meticulously curated to push the boundaries of mathematical reasoning in language models. | |
| ## Data Structure | |
| - **Format**: [Conversational](https://huggingface.co/docs/trl/main/dataset_formats#conversational) | |
| - **Type**: [Prompt-only](https://huggingface.co/docs/trl/main/dataset_formats#prompt-only) | |
| Column: | |
| - `"prompt"`: The input question. | |
| - `"solution"`: The solution to the math problem. | |
| ## Generation script | |
| The script used to generate this dataset can be found [here](https://github.com/huggingface/trl/blob/main/examples/datasets/deepmath_103k.py). | |
Xet Storage Details
- Size:
- 692 Bytes
- Xet hash:
- 62fbe9f5db38bef98c1caaa224f882b98fdefc28b70b05fce2614c9cc133f9a1
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.