Datasets:
File size: 1,172 Bytes
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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.
|