datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
discover-toolsToolScale
ToolScale Dataset
The ToolScale dataset is a key component of the ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestrationproject. It provides synthetic environment and tool-call tasks specifically generated to aid the reinforcement learning (RL) training of small orchestrator models. These orchestrators are designed to effectively manage and coordinate diverse intelligent tools and other models for solving complex, multi-turn agentic tasks.… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/ToolScale.video-studio-toolsG1_Dex1_Organize_ToolsThis dataset was created using LeRobot.
Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as specified in Part 5 of AVP Teleoperation Documentation.
Data collection is not completed in a single session, and variations between data entries exist. Ensure these variations are accounted for during model training.
Dataset Structure
meta/info.json:
{
"codebase_version":… See the full description on the dataset page: https://huggingface.co/datasets/unitreerobotics/G1_Dex1_Organize_Tools.ToolRet-Tools🔧 Retrieving useful tools from a large-scale toolset is an important step for Large language model (LLMs) in tool learning. This project (ToolRet) contribute to (i) the first comprehensive tool retrieval benchmark to systematically evaluate existing information retrieval (IR) models on tool retrieval tasks; and (ii) a large-scale training dataset to optimize the expertise of IR models on this tool retrieval task.
This ToolRet-Tools contains the toolset corpus of our tool retrieval benchmark.… See the full description on the dataset page: https://huggingface.co/datasets/mangopy/ToolRet-Tools.Seal-ToolsThis dataset was presented in Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark.
Code: https://github.com/fairyshine/Seal-Tools
ToolSpaceevovling_tools
Evolving Tool Benchmark
This dataset accompanies the paper EVOHARNESSBENCH: Can Your Agents Keep Pace with an Evolving Harness?. See the project page for more details.
Two temporally evolving tool-use benchmarks, built by the same
dataset-agnostic evolve_tools builder,
organized into two self-contained sub-datasets:
folder
source
domains
versions (K)
tasks
eog/
ServiceNow-AI/EnterpriseOps-Gym
9: calendar, csm, drive, email, enterprise_tri_hybrid, hr, hybrid, itsm… See the full description on the dataset page: https://huggingface.co/datasets/ZixuanKe/evovling_tools.parsed_datahf-coding-tools-traces-all
HuggingFace AI Coding Tools — Agent Traces
This dataset rehydrates the benchmark results from
davidkling/hf-coding-tools-dashboard
into the JSONL session format consumed by the
Hugging Face Agent Trace Viewer.
What's inside
31 sessions, one per (tool, model, effort, thinking) configuration
9,603 query → response turns total (≈19,206 events)
Tools covered: claude_code, codex, copilot, cursor
Models: claude-opus-4-6, claude-sonnet-4-6, claude-sonnet-4.6, composer-2… See the full description on the dataset page: https://huggingface.co/datasets/davidkling/hf-coding-tools-traces-all.toolsandbox-dataSeal-Tools
Seal-Tools
This Huggingface repository contains the dataset generated in Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark.
Abstract
Seal-Tools contains self-instruct API-like tools. Seal-Tools not only offers a large
number of tools, but also includes instances
which demonstrate the practical application
of tools. Seeking to generate data on a large
scale while ensuring reliability, we propose a
self-instruct method to generate… See the full description on the dataset page: https://huggingface.co/datasets/casey-martin/Seal-Tools.browsecomp-plus-selected-tools-analysis-v1
BrowseComp-Plus: Selected Tools Analysis
Side-by-side view of selected tool calls from a reference trajectory alongside the new agent trajectory conditioned on those steps.
Retrieval model: Qwen3-Embedding-8BAgent model: gpt-oss-120bRun: traj_summary_ext_selected_tools_gpt-oss-120b_seed0
Columns
Column
Description
query_id
Query identifier
rationale
GPT rationale for why these k steps were selected from the reference trajectory
selected_indices
Step indices… See the full description on the dataset page: https://huggingface.co/datasets/timchen0618/browsecomp-plus-selected-tools-analysis-v1.Dolci-Instruct-SFT-No-ToolsA version of our new Instruct dataset with tool-use data removed, for people not needing that skill.
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… See the full description on the dataset page: https://huggingface.co/datasets/allenai/Dolci-Instruct-SFT-No-Tools.skills_go_to_githubworking here https://github.com/evalstate/skills-dev
hf-coding-tools-traces_april26
HuggingFace AI Coding Tools — Agent Traces
This dataset rehydrates the benchmark results from
davidkling/hf-coding-tools-dashboard
into the JSONL session format consumed by the
Hugging Face Agent Trace Viewer.
What's inside
32 sessions, one per (tool, model, effort, thinking) configuration
9,130 query → response turns total (≈18,260 events)
Tools covered: claude_code, codex, copilot, cursor
Models: claude-opus-4-6, claude-sonnet-4-6, claude-sonnet-4.6, composer-2… See the full description on the dataset page: https://huggingface.co/datasets/clem/hf-coding-tools-traces_april26.hf-coding-tools-traces-run-april12
HuggingFace AI Coding Tools — Agent Traces
This dataset rehydrates the benchmark results from
davidkling/hf-coding-tools-dashboard
into the JSONL session format consumed by the
Hugging Face Agent Trace Viewer.
What's inside
31 sessions, one per (tool, model, effort, thinking) configuration
8,875 query → response turns total (≈17,750 events)
Tools covered: claude_code, codex, copilot, cursor
Models: claude-opus-4-6, claude-sonnet-4-6, claude-sonnet-4.6, composer-2… See the full description on the dataset page: https://huggingface.co/datasets/davidkling/hf-coding-tools-traces-run-april12.hf-coding-tools-traces
HF Coding Tools — Agent Traces
This dataset rehydrates the benchmark run in davidkling/hf-coding-tools-dashboard into the JSONL session format consumed by the Hugging Face Agent Trace Viewer.
What's inside
31 sessions, one per (tool, model, effort, thinking) configuration
8,881 query → response turns total (≈17,762 events)
Tools covered: claude_code, codex, copilot, cursor
Models: claude-opus-4-6, claude-sonnet-4-6, claude-sonnet-4.6 (Copilot), gpt-4.1… See the full description on the dataset page: https://huggingface.co/datasets/clem/hf-coding-tools-traces.mixed-sft-openai-tools-qwen3-areal-diverse
mixed-sft-openai-tools-qwen3-areal-diverse
Private SFT dataset for the Qwen3 AReaL terminal-agent trainer. It is the
normalized, shuffled "diverse" variant of the default terminal-agent SFT recipe.
It is intended for:
terminal_agent_demo/sft/config_terminus2_l40s_default_diverse.yaml
Files
File
Rows
Description
mixed_sft_openai_tools_qwen3_areal.shuf_seed7.jsonl
127,270
Training JSONL, shuffled with seed 7 (post-filtering).… See the full description on the dataset page: https://huggingface.co/datasets/eewer/mixed-sft-openai-tools-qwen3-areal-diverse.Airbot_MMK2_storage_tools
Airbot_MMK2_storage_tools
Dataset Description
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Task Preview
View Video Directly
Overview
Total Episodes: 49
Total Frames: 7910
FPS: 30
Dataset Size: 221.53 MB
Robot Name: Airbot_MMK2
End-Effector Type: five_finger_gripper
Teleoperation Type: Due to some reasons, this dataset temporarily cannot provide the teleoperation type information.
Sensors:… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/Airbot_MMK2_storage_tools.Step-3.5-Flash-SFT-No-Tools
Step-3.5-Flash-SFT No-Tools
Filtered subset of stepfun-ai/Step-3.5-Flash-SFT containing only plain chat rows from the raw JSON shards.
Final kept rows: 1493471
No-tool rows before secret filtering: 1495099
Rows removed by accepted secret scan findings: 1628
Primary data files are Parquet shards under data/train-*.parquet.
Filter predicate:
conversations must be a list,
every message must be an object,
message roles must be limited to system, user, and assistant,
no message may… See the full description on the dataset page: https://huggingface.co/datasets/MetonymousAI/Step-3.5-Flash-SFT-No-Tools.trajectories-thinking-toolsHand_Tools
ABC-iRobotics/Hand_Tools: dataset 0000
Metric RGB-D scene dataset generated with the Label Factory workflow.
The files for this capture are stored below the 0000/ directory so
multiple numbered datasets can coexist in this repository.
Training configurations
depth_estimation: RGB input, metric depth target, intrinsics and depth units
instance_segmentation: RGB input, instance-mask target, boxes and annotations
object_pose_estimation: RGB-D input, masks, camera… See the full description on the dataset page: https://huggingface.co/datasets/ABC-iRobotics/Hand_Tools.Hand_tools
KarolyArmin/Hand_tools
Growing multi-task RGB-D collection generated with the Label Factory workflow.
Every capture is stored in its own zero-padded directory (0000, 0001,
0002, ...). Uploading a new capture appends it to the collection without
replacing earlier directories. Task configurations aggregate compatible
Parquet shards from every numbered directory.
Training configurations
depth_estimation: RGB input, metric depth target, intrinsics and depth units… See the full description on the dataset page: https://huggingface.co/datasets/KarolyArmin/Hand_tools.default-promptshf-coding-tools-traces
HuggingFace AI Coding Tools — Agent Traces
This dataset rehydrates the benchmark results from
davidkling/hf-coding-tools-dashboard
into the JSONL session format consumed by the
Hugging Face Agent Trace Viewer.
What's inside
32 sessions, one per (tool, model, effort, thinking) configuration
9,130 query → response turns total (≈18,260 events)
Tools covered: claude_code, codex, copilot, cursor
Models: claude-opus-4-6, claude-sonnet-4-6, claude-sonnet-4.6, composer-2… See the full description on the dataset page: https://huggingface.co/datasets/davidkling/hf-coding-tools-traces.Dataset-Tools
Dataset Tools: An AI Metadata Viewer
English Readme Wiki Discussions Notices License
Dataset Tools is a desktop application designed to help users browse and manage their image datasets, particularly those used with AI art generation tools (like Stable Diffusion WebUI Forge, A1111, ComfyUI) and model files (like Safetensors). Developed using Python and PyQt6, it provides an intuitive graphical interface for browsing files, viewing embedded generation parameters, and… See the full description on the dataset page: https://huggingface.co/datasets/EarthnDusk/Dataset-Tools.BEAT2_Toolsteaching_tools_2025unitree_put_away_tools_lerobot_v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "Unitree_G1_Dex1_Sim",
"total_episodes": 48,
"total_frames": 24271,
"total_tasks": 1,
"total_videos": 144,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:48"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/XiaoweiLinXL/unitree_put_away_tools_lerobot_v2.