Datasets:
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Download README.md from BitZone910/sft_math_tir: direct link, hf CLI and curl.
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https://huggingface.co/datasets/BitZone910/sft_math_tir/resolve/main/README.md
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metadata
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.
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 |
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, whose dataset card declares MIT. The original Tool-Star authors retain their attribution.