| --- |
| license: mit |
| language: |
| - en |
| task_categories: |
| - text-generation |
| tags: |
| - math |
| - tool-use |
| - supervised-fine-tuning |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: sft_math_tir.json |
| --- |
| |
| # sft_math_tir |
|
|
| The **30,438-example** mathematical tool-integrated reasoning SFT file used by |
| the Trace-OPSD project's [SFT-Qwen2.5-3B](https://huggingface.co/BitZone910/SFT-Qwen2.5-3B). |
|
|
| Each record follows the Alpaca/LlamaFactory format: |
|
|
| | Field | Type | Meaning | |
| |---|---|---| |
| | `instruction` | string | Tool-use/system instruction | |
| | `input` | string | Mathematical problem | |
| | `output` | string | Demonstration with reasoning, tool actions/feedback, and answer | |
|
|
| ```python |
| from datasets import load_dataset |
| |
| data = load_dataset("BitZone910/sft_math_tir", split="train") |
| ``` |
|
|
| To use the downloaded JSON with LlamaFactory, register `sft_math_tir.json` as an |
| Alpaca-format dataset in that installation's `dataset_info.json`. |
|
|
| ## Source and license |
|
|
| Adapted from the |
| [Tool-Star-SFT-54K dataset](https://huggingface.co/datasets/dongguanting/Tool-Star-SFT-54K), |
| whose dataset card declares MIT. The original Tool-Star authors retain their |
| attribution. |
|
|
|
|
