datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Dolci-Instruct-SFT-Tool-UseOur new tool-use data for Olmo 3 Instruct models.
For the full dataset, documentation, etc. see the main dataset card.
This dataset is licensed under ODC-BY. It is intended for research and educational use in accordance with Ai2's Responsible Use Guidelines.
Citation
@misc{olmo2025olmo3,
title={Olmo 3},
author={Team Olmo and Allyson Ettinger and Amanda Bertsch and Bailey Kuehl and David Graham and David Heineman and Dirk Groeneveld and Faeze Brahman and Finbarr Timbers and Hamish… See the full description on the dataset page: https://huggingface.co/datasets/allenai/Dolci-Instruct-SFT-Tool-Use.toolace_hermes_tool_usetool-use-llama-format
Open Paws Tool Use Llama Format
This dataset is part of the Open Paws initiative to develop AI training data aligned with animal liberation and advocacy principles. Created to train AI systems that understand and promote animal welfare, rights, and liberation.
Dataset Details
Dataset Type: Tool Use Data
Format: JSONL (JSON Lines)
Languages: Multilingual (primarily English)
Focus: Animal advocacy and ethical reasoning
Organization: Open Paws
License: Apache 2.0… See the full description on the dataset page: https://huggingface.co/datasets/open-paws/tool-use-llama-format.tool-use-multiturn-reasoningsaraiki-tool-use-sfthermes_salesforce_apigen_tool_useagent-tool-use-trajectories
Agent Tool Use Trajectories (10K) 🚀
Dataset Description
This dataset contains 10,000 highly complex, multi-step dialogue trajectories designed to train open-source Large Language Models (LLMs) in advanced Agent Tool Use, Function Calling, and Reasoning.
Curated with professional AI training and data annotation standards, this dataset moves beyond simple synthetic Q&A pairs. It strictly follows the ChatML format and focuses heavily on multi-tool orchestration… See the full description on the dataset page: https://huggingface.co/datasets/Toprak1yu/agent-tool-use-trajectories.tool-reasoning-sft-CODING-text_to_terminal_v2-sft-tool-use-agent-data-cleaned-rectified
Text to Terminal, v2 — Cleaned & Rectified
👥 Follow the Author
Aman Priyanshu
Overview
This dataset is a cleaned, combined, and thinking-augmented version of muellerzr/text_to_terminal_v2. It pairs natural language instructions with their corresponding terminal/bash commands, now augmented with explicit <think> reasoning traces that model the step-by-step thought process before producing the final command.The restructuring approach is directly… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-CODING-text_to_terminal_v2-sft-tool-use-agent-data-cleaned-rectified.tool-math
Tool Math
Tool Math is a chat-style math reasoning dataset designed for small language models that need to learn when to call a calculator tool and how to continue from the returned value.
Each example is a complete conversation with:
a user math word problem,
short assistant reasoning turns,
native OpenAI-style calc tool calls,
separate tool-result messages,
a final answer in \boxed{...},
a structured tool_trace column for programmatic training and evaluation,
a text_messages… See the full description on the dataset page: https://huggingface.co/datasets/User01110/tool-math.Dolci-Instruct-SFT-Tool-Use-SAA subset of our tool use data for Olmo 3 7B Instruct. To see more, refer to the rest of the tool use dataset and our main SFT data.
License
Dolci-Instruct-SFT-Tool-Use-SA is licensed under the Share-Alike CC BY-SA license. It is intended for research and educational use in accordance with Ai2's Responsible Use Guidelines.
Citation
@misc{olmo2025olmo3,
title={Olmo 3},
author={Team Olmo and Allyson Ettinger and Amanda Bertsch and Bailey Kuehl and David Graham and David… See the full description on the dataset page: https://huggingface.co/datasets/allenai/Dolci-Instruct-SFT-Tool-Use-SA.tool-use-finetuningDataset for fine-tuning gemma-3-1b-it for function calling. The code and other resources for this project are linked below.
Resources:
YouTube Video
Blog Post
GitHub Repo
Fine-tuned Model | Original Model
Citation
If you find this dataset helpful, please cite:
@dataset{talebi2025,
author = {Shaw Talebi},
title = {tool-use-finetuning},
year = {2025},
publisher = {Hugging Face},
howpublished =… See the full description on the dataset page: https://huggingface.co/datasets/shawhin/tool-use-finetuning.hermes-reasoning-tool-usebam-scientific-tool-use
BAM Scientific Tool Use
Inspect real welding measurement files, calculate a precisely specified result, and cite the evidence used. BAM Scientific Tool Use is a small, auditable dataset for evaluating language models with Python tools. It contains 160 tasks over 30 welding passes from five physical workpieces: 130 answerable calculations and 30 constructed cases where a required file is withheld.
The measurements come from Chaurasia et al., Tandem-GMAW: advanced pulsed and… See the full description on the dataset page: https://huggingface.co/datasets/harrrshall/bam-scientific-tool-use.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.limbic-eval-tool-use-mcp
Dataset Summary
The MCP Tool Call Evaluation Test Dataset is a synthetic dataset designed for evaluating and benchmarking language models' ability to correctly execute function calls in the context of Model Context Protocol (MCP) tools. This dataset contains 9,813 test examples that assess a model's proficiency in:
Tool Selection: Choosing the correct function from available tools
Parameter Structure: Providing all required parameters with correct names
Parameter Values: Supplying… See the full description on the dataset page: https://huggingface.co/datasets/quotientai/limbic-eval-tool-use-mcp.hermes_reasoning_tool_use_with_cursingBased on interstellarninja/hermes_reasoning_tool_use with the reasoning traces replaced by cursing.
Dolci-Think-SFT-Olmo-Hybrid-Tool-Use-SA
Licensing Information
Dolci Think SFT Olmo Hybrid Tool Use SA is licensed under the Open Data Commons Attribution License v1.0 (ODC-By). It is intended for research and educational use. For more information, please see our Responsible Use Guidelines.
hermes_interleaved_reasoning_tool_useinterleaved_tool_use_reasoningagentic-tool-use-multi-api-orchestration-2026
⚡ Agentic Tool-Use, Multi-API Calling & Autonomous Function Orchestration (2026)
Official 100-sample production preview of the Agentic Tool-Use & Multi-API Orchestration Suite (2026) by BeatsProm AI Research Lab. Engineered for parallel tool calling (<tool_call>), strict JSON-schema enforcement, stateful cursor pagination, and self-healing API error recovery.
🏛️ THE 20 AGENTIC OPERATIONAL CORES:
Parallel Portfolio Rebalancing: Multi-leg execution with… See the full description on the dataset page: https://huggingface.co/datasets/beatsprom/agentic-tool-use-multi-api-orchestration-2026.tool-reasoning-sft-TOOLS-toucan-1.5m-sft-tool-use-data-cleaned-rectified-333k
Toucan - OSS High Quality (Hermes Reasoning Format)
Filtered and restructured subset of Agent-Ark/Toucan-1.5M.
Format Inspiration: SupritiVijay/dr-tulu-sft-deep-research-agent-data-cleaned-rectified
Filters applied: OSS split only · overall_score > 3.0 · valid role transitions only
Size: ~333K examples
Format
Each example is a multi-turn conversation with strict role transitions:
system → user → reasoning → tool_call → tool_output → reasoning → ... → answer… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-TOOLS-toucan-1.5m-sft-tool-use-data-cleaned-rectified-333k.hermes_reasoning_tool_use_splitNanbeige4.1-3B-Gmail-Tool-Use-Datasets
📧 Nanbeige4.1-3B — Gmail Tool-Use Datasets
Training data for the highly aligned TurkishCodeMan/Nanbeige4.1-3B-Gmail-Tool-Use AI Agent.
📊 Dataset Overview
This repository contains the high-quality fine-tuning datasets used to align a 3B parameter model to achieve GPT-4o-mini level tool-calling parity inside LangGraph environments. The process is divided into two distinct stages: Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO).
1.… See the full description on the dataset page: https://huggingface.co/datasets/TurkishCodeMan/Nanbeige4.1-3B-Gmail-Tool-Use-Datasets.merged-tool-use
merged-tool-use
High-quality, multi-source dataset normalized to a single, OpenAI-style tool-calling schema. Built by unifying multiple public datasets into one consolidated corpus ready for training and evaluation.
Total examples: 220,247
Formats: Parquet and JSONL
Schema: messages: list[message] where each message has role, optional content, and optional tool_calls/function fields.
Contents
This dataset merges and normalizes the following sources:… See the full description on the dataset page: https://huggingface.co/datasets/Akicou/merged-tool-use.Dolci-Instruct-SFT-Tool-Usetoolace_sequential_tool_use_reasoningMiriad-Tooluse-Prompts-StratifiedKFold-View-Patch-1agentic-tool-use-suite-2026
⚡ Agentic Tool-Use & Function Calling Suite (2026 Edition)
🚀 The Definitive 2026 Training Suite for Function Calling, Model Context Protocol (MCP), and Autonomous Software Agents.
🌟 Dataset Overview
Standard open-source function-calling datasets are saturated with 10-line toy stubs, unhandled exceptions, and naive wrappers that cause models to crash under real production conditions.
The Agentic Tool-Use & Function Calling Suite (2026) enforces a Heavyweight… See the full description on the dataset page: https://huggingface.co/datasets/beatsprom/agentic-tool-use-suite-2026.trajectories-tool_use-difficult-envs-splits