Datasetpublic

zhendongnvidia/qwen3-tool-calling-sft-dataset

Tool Calling Dataset for Fine-Tuning High-quality tool calling dataset with consistent schema for supervised fine-tuning. Dataset Description This dataset contains 11 high-quality single-turn tool calling conversations in standard OpenAI chat completion format. Features ✅ Schema Consistent: All parameter types normalized across records ✅ Quality Filtered: GPT-4o-mini evaluated (score ≥ 7.0/10) ✅ OpenAI Compatible: Ready for direct use with OpenAI… See the full description on the dataset page: https://huggingface.co/datasets/zhendongnvidia/qwen3-tool-calling-sft-dataset.

sourceHugging Faceupdated 1y agoView on Hugging Face

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Dataset Card

Tool Calling Dataset for Fine-Tuning

High-quality tool calling dataset with consistent schema for supervised fine-tuning.

Dataset Description

This dataset contains 11 high-quality single-turn tool calling conversations in standard OpenAI chat completion format.

Features

—✅ Schema Consistent: All parameter types normalized across records
—✅ Quality Filtered: GPT-4o-mini evaluated (score ≥ 7.0/10)
—✅ OpenAI Compatible: Ready for direct use with OpenAI fine-tuning API
—✅ JSONL Format: One conversation per line

Format

Each record contains:

—tools: Complete tool definitions with parameters
—messages: OpenAI-format conversation with tool_calls
—metadata: Quality scores and processing info

Usage

python

import json
from datasets import load_dataset

# Load dataset
dataset = load_dataset('zhendongnvidia/qwen3-tool-calling-sft-dataset')

# Or load directly from file
with open('consolidated_tool_calling_dataset.jsonl', 'r') as f:
    data = [json.loads(line) for line in f]

# Use for fine-tuning
for record in data:
    tools = record['tools']
    messages = record['messages']
    # Ready for OpenAI fine-tuning!

Stats

—Records: 11 high-quality conversations
—Format: JSONL (newline-delimited JSON)
—Schema: Fully consistent across all records
—Generated: 2025-09-16 10:56:11

License

MIT License - Free for research and commercial use.