datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Tool-Star-SFT-54KThe cold start dataset of Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning
hf paper link: https://huggingface.co/papers/2505.16410
arxiv link: https://arxiv.org/abs/2505.16410
Github Repo: https://github.com/dongguanting/Tool-Star
tools-benchmark
Cynaptics Tools Benchmark
Public split: 54 multi-hop QA examples (18 each of 2/3/4-hop).
Fields: id, question, context, answer, category, subcategory, metadata.
tool-reasoning-sft-TOOLS-hermes_reasoning_tool_use-data-cleaned-rectified
Hermes Reasoning Tool Use — Cleaned & Rectified
👥 Follow the Author
Aman Priyanshu
Overview
This dataset is a cleaned and restructured version of interstellarninja/hermes_reasoning_tool_use. The original dataset uses the Hermes/NousResearch multi-turn format with from/value fields and embedded <think> + <tool_call> tags inside single gpt turns. This version converts it into a strict multi-turn conversation structure with validated role transitions.… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-TOOLS-hermes_reasoning_tool_use-data-cleaned-rectified.tool-reasoning-sft-TOOLS-toolace-sft-tool-use-agent-data-cleaned-rectified
ToolACE - Tool-Use Agent Data Cleaned & Rectified
👥 Follow the Author
Aman Priyanshu
Overview
This dataset is a cleaned and restructured version of the Team-ACE/ToolACE dataset. ToolACE is a high-quality conversational tool-use dataset containing 11,300+ examples of natural language interactions requiring function calling across diverse domains. This version converts the original OpenAI function-call format into a standardized multi-turn tool-use… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-TOOLS-toolace-sft-tool-use-agent-data-cleaned-rectified.hr-ops-tools
HR-Ops: 8,621 rows of tool calling and cited policy for HR assistants
A training set for HR-operations assistants, built around one idea: make the HR task
objectively checkable. The headline shard is tool calling against authored HR-ops
function schemas, where a correct answer is exact JSON and a wrong one cannot hide behind
fluent prose. Built for the Adaption AutoScientist Challenge, Part 2 (HR).
What this dataset proves, and how you check it
rows
8… See the full description on the dataset page: https://huggingface.co/datasets/Jainamshahhh/hr-ops-tools.grpo-4k-reasoning-tools
🧠 GRPO 4K Reasoning Tools
A compact, high-quality dataset designed to train and evaluate reasoning-capable LLMs with tool usage and function calling. This dataset focuses on structured thinking, multi-step reasoning, and practical tool integration across diverse NLP tasks.
📌 Overview
GRPO 4K Reasoning Tools is a curated dataset of ~4K examples that combines:
🧩 Step-by-step reasoning (“thinking” traces)
🛠️ Tool usage / function calling patterns
🧠 Multi-task learning… See the full description on the dataset page: https://huggingface.co/datasets/nphearum/grpo-4k-reasoning-tools.type-schema-tools-calls
type-schema-tools-calls
Dataset for TypeSchema Tool Calling
Tool-Star-SFT-54KThe cold start dataset of Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning
hf paper link: https://huggingface.co/papers/2505.16410
arxiv link: https://arxiv.org/abs/2505.16410
Github Repo: https://github.com/dongguanting/Tool-Star
Tool_Selection_Disambiguation
🇰🇿 Kazakh Tool Selection and Disambiguation Dataset
Dataset Summary
Kazakh Tool Selection and Disambiguation Dataset is a Kazakh-language dataset designed for training and evaluating Large Language Models (LLMs) in agentic AI scenarios that require choosing the most appropriate tool from multiple available options.
The dataset focuses on tool-selection reasoning, where the assistant must understand the user’s intent, compare available tools, avoid unnecessary… See the full description on the dataset page: https://huggingface.co/datasets/farabi-lab/Tool_Selection_Disambiguation.