datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ToolScale
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.Seal-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.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.TinyQuery-Tools-Multilingual
TinyQuery Tools Multilingual
GitHub: source code, setup guide, streaming examples and tests
A synthetic, fictitious dataset for learning schema-conditioned SQL and tool actions from English, imperfect English, Hindi and Hinglish. Created for a four-hour, from-scratch small-model experiment. It contains no real user databases.
Split
Examples
Purpose
Train
347,376
Semantic scenarios, teacher language and randomized context variants
Validation
1,200
Held-out domain… See the full description on the dataset page: https://huggingface.co/datasets/karmx/TinyQuery-Tools-Multilingual.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.python-lib-tools-v0.1
Dataset Card for python-lib-tools-v0.1
This dataset has been created with distilabel.
The pipeline script was uploaded to easily reproduce the dataset:
python_tool_synth.py.
It can be run directly using the CLI:
distilabel pipeline run --script "https://huggingface.co/datasets/argilla-warehouse/python-lib-tools-v0.1/raw/main/python_tool_synth.py"
Dataset creation
Distilabel pipeline
Requirements:
# A new virtual environment with python… See the full description on the dataset page: https://huggingface.co/datasets/argilla-warehouse/python-lib-tools-v0.1.task1156_bard_analogical_reasoning_tools
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1156_bard_analogical_reasoning_tools
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1156_bard_analogical_reasoning_tools.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.python-seed-tools
Dataset card for argilla-warehouse/python-seed-tools
This dataset consists of function names, descriptions and their tool definitions to be used as seeds for an "APIGen like" dataset.
These are the seed functions used for the following datasets:
argilla-warehouse/synth-apigen-llama
argilla-warehouse/synth-apigen-qwen
It was built using the following script: create_seed_dataset.py,
using the tools defined in the tools.jsonl file.
Take a look at… See the full description on the dataset page: https://huggingface.co/datasets/argilla-warehouse/python-seed-tools.tool-reasoning-sft-TOOLS-ToolMind-data-cleaned-rectified
ToolMind — Cleaned & Rectified
~280K multi-turn tool-use conversations converted into a strict reasoning + tool-call format. Combines 128K synthetic trajectories generated via graph-based function chain sampling with 152K augmented open-source instances across 6 established datasets.
Format
Each row contains a structured multi-turn conversation with explicit reasoning traces and validated tool calls.
Message Roles
Role
Content
system
Tool-use… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-TOOLS-ToolMind-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.tool-reasoning-sft-TOOLS-hermes-reasoning-tool-style-data-cleaned-rectified-115k
Agentic Tool-Use SFT Mix
111,295 additional multi-turn agentic trajectories across four task families, following the same strict reasoning + tool-call FSM format. Combined with the original 3,827 deep-research trajectories, the dataset totals 115,122 samples.
Distribution
Category
Samples
Full
Compact
Deep Research (original)
3,827
100%
—
Multi-Turn Tool Orchestration
45,776
54%
46%
Deep Research
34,282
71%
29%
Codebase Retrieval
17,473
69%
31%… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-TOOLS-hermes-reasoning-tool-style-data-cleaned-rectified-115k.GRPO-Reasoning-Tools-Cleaned
GRPO-Reasoning-Tools-Cleaned
Deep-cleaned for GRPO/RL training | 1,998 examples | 2,608 bugs fixed
📋 Dataset Description
Structured reasoning and tool-use prompts designed for GRPO training. This cleaned version normalizes whitespace, removes XML reasoning tags, and filters non-English content.
Original source: nphearum/grpo-4k-reasoning-tools by Independent
📊 Cleaning Statistics
Metric
Value
Original examples
2,000
Clean… See the full description on the dataset page: https://huggingface.co/datasets/Eyght/GRPO-Reasoning-Tools-Cleaned.tool-reasoning-sft-TOOLS-toolmind-web-qa-sft-tool-use-data-cleaned-rectified-5.2k
ToolMind-Web-QA — Hermes Reasoning Format
Filtered and restructured version of Nanbeige/ToolMind-Web-QA.
Filters applied: valid role transitions only · known tools only · non-empty user + answer required
Size: 5,274 examples (from 5,624 original trajectories, 350 dropped)
Source
The original dataset contains 5,624 complex multi-hop QA trajectories grounded in Wikipedia
entity-relation graphs. Each trajectory has an average of ~138 turns with multiple tool calls
across… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-TOOLS-toolmind-web-qa-sft-tool-use-data-cleaned-rectified-5.2k.eu-compliance-tools-80k
eu-compliance-tools-80k
80K multi-turn tool-calling traces for EU regulatory compliance workflows — GDPR, AI Act, NIS2, DSA, PSD3, CSRD. Each example includes full tool definitions, realistic API calls, error-recovery turns, and role-specific user profiles (DPO, CISO, compliance officer). Apache 2.0 — commercial use permitted.
The only open dataset combining EU regulatory coverage with agentic tool-use patterns. Timed for the EU AI Act enforcement wave.
Quick Load… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/eu-compliance-tools-80k.SLM-Tools-300k
SLM-tools-300k
351,833 agentic tool-use traces in Anthropic-style ChatML format — for teaching small models tool-calling with concise step-by-step reasoning.
Format
Each JSONL line: {"rendered": <full ChatML string>, "messages": [...], "metrics": {...}}.
ChatML blocks per trace:
available_tools — full JSON tool schemas
system — assistant persona / style directive
user — request
assistant — <reasoning>…</reasoning> + <tool_call>{"name","arguments"}</tool_call>… See the full description on the dataset page: https://huggingface.co/datasets/DomofonResearch/SLM-Tools-300k.tool-reasoning-sft-TOOLS-context-management-handling
Tool Reasoning SFT — Context Management
A mixed-domain tool-use SFT dataset for training context-aware reasoning with structured tool interactions.
Format
Each row contains a JSON-serialized message list following a multi-role conversation format with tool definitions and calls.
Usage
from datasets import load_dataset
ds = load_dataset("AmanPriyanshu/tool-reasoning-sft-TOOLS-context-management-handling", split="train")
License
Apache 2.0
synoema-coder-3b-tools-corpus
Synoema Tools — Training Corpora
Exact corpora used to fine-tune the 100% Synoema agentic tool-use models
(3B,
1.5B).
Website: https://synoema.tech
Files
File
Used for
Examples
merged_seq_c8.jsonl
3B C8 (100%)
18317
merged_seq_c12.jsonl
1.5B C12 (100%)
17321
targeted/targeted_seq_c9mw_3b.jsonl
3B multi-write fix (TU4/TU13)
44
targeted/targeted_seq_c11fix_1.5b.jsonl
1.5B fix (TU4/TU13/TU20/TU30)
36
targeted/targeted_seq_c10fix_0.8b.jsonl
0.8B fix… See the full description on the dataset page: https://huggingface.co/datasets/delimitter/synoema-coder-3b-tools-corpus.hf-coding-tools-dashboard-v2
HuggingFace AI Coding Tools Dashboard (Enhanced)
Enhanced benchmark data from the HuggingFace AI Dashboard — includes query metadata (query_set, intent), run metadata (run_name, run_date), and freshness flags for stale references.
This is the v2 enhanced dataset. The original dataset is at davidkling/hf-coding-tools-dashboard.
Dataset Structure
Split
Description
Rows
results
Enhanced results with query/run metadata and freshness flags
9146
queries… See the full description on the dataset page: https://huggingface.co/datasets/davidkling/hf-coding-tools-dashboard-v2.hf-coding-tools-dashboard-all
HuggingFace AI Coding Tools Dashboard
Benchmark data from the HuggingFace AI Dashboard — tracking how AI coding tools (Claude Code, Codex, Copilot, Cursor) recommend HuggingFace products across 32 developer categories.
Dataset Structure
Split
Description
Rows
results
Full benchmark results with LLM responses, cost, tokens, latency, and product detection
9603
queries
Benchmark query definitions across 32 categories
404
runs
Run metadata and tool/model… See the full description on the dataset page: https://huggingface.co/datasets/davidkling/hf-coding-tools-dashboard-all.claude-tools-sft-merged
claude-tools-sft-merged
Merged SFT dataset in ChatML format (<|im_start|> / <|im_end|>),
deduplicated and filtered, ready for instruction fine-tuning.
Covers general instruction following, reasoning (<think> traces),
function calling, coding, and multi-turn conversation.
Statistics
Metric
Value
Total examples
298,979
Duplicates removed
44,928
Min length (chars)
142
Median length (chars)
3,033
Mean length (chars)
4,231
P90 length (chars)
11… See the full description on the dataset page: https://huggingface.co/datasets/someoneatemylastsliceofpizza/claude-tools-sft-merged.hf-coding-tools-dashboard
HuggingFace AI Coding Tools Dashboard
Benchmark data from the HuggingFace AI Dashboard — tracking how AI coding tools (Claude Code, Codex, Copilot, Cursor) recommend HuggingFace products across 32 developer categories.
Dataset Structure
Split
Description
Rows
results
Full benchmark results with LLM responses, cost, tokens, latency, and product detection
9146
queries
Benchmark query definitions across 32 categories
404
runs
Run metadata and tool/model… See the full description on the dataset page: https://huggingface.co/datasets/davidkling/hf-coding-tools-dashboard.hf-coding-tools-dashboard-run-april12
HuggingFace AI Coding Tools Dashboard
Benchmark data from the HuggingFace AI Dashboard — tracking how AI coding tools (Claude Code, Codex, Copilot, Cursor) recommend HuggingFace products across 32 developer categories.
Dataset Structure
Split
Description
Rows
results
Full benchmark results with LLM responses, cost, tokens, latency, and product detection
8875
queries
Benchmark query definitions across 32 categories
263
runs
Run metadata and tool/model… See the full description on the dataset page: https://huggingface.co/datasets/davidkling/hf-coding-tools-dashboard-run-april12.hf-coding-tools-dashboard-builder
HuggingFace AI Coding Tools Dashboard
Benchmark data from the HuggingFace AI Dashboard — tracking how AI coding tools (Claude Code, Codex, Copilot, Cursor) recommend HuggingFace products across 32 developer categories.
Dataset Structure
Split
Description
Rows
results
Full benchmark results with LLM responses, cost, tokens, latency, and product detection
581
queries
Benchmark query definitions across 32 categories
120
runs
Run metadata and tool/model… See the full description on the dataset page: https://huggingface.co/datasets/davidkling/hf-coding-tools-dashboard-builder.gemma3n-conversational-reasoning-with-tools
Gemma3N Conversational Reasoning With Embedded Tool Traces
Prepared for Unsloth Gemma3/Gemma3N conversational notebooks that expect ShareGPT conversations.
Multi-turn conversations are preserved.
Reasoning blocks (<think>...</think>) are preserved.
Tool call traces are preserved by embedding them in assistant text as tags:
<tool_call ...>...</tool_call>
<tool_response ...>...</tool_response>
Use:
from datasets import load_dataset
from unsloth.chat_templates import… See the full description on the dataset page: https://huggingface.co/datasets/Cyleux/gemma3n-conversational-reasoning-with-tools.harmony-tools
Harmony Tool-Call Conversations
This dataset contains 10000 synthetic Harmony-formatted conversations designed to teach models
how to reason about tool usage, issue function calls, and craft final answers after receiving tool outputs.
Repo: dwojcik/harmony-tools
Schema: prompt / completion pairs following the OpenAI Harmony prompt syntax.
Focus: tool invocation planning, JSON argument formatting, and final response composition.
Stage Breakdown
final_answer: 5000… See the full description on the dataset page: https://huggingface.co/datasets/dwojcik/harmony-tools.tool-reasoning-sft-TOOLS-mobile-actions-data-cleaned-rectified
Mobile Actions — Cleaned & Rectified
8.7K on-device function calling conversations converted into a strict reasoning + tool-call format. Covers 7 Android mobile actions including calendar events, emails, contacts, maps, flashlight, and Wi-Fi settings.
Format
Each row contains a structured conversation with explicit reasoning traces and validated tool calls.
Message Roles
Role
Content
system
Tool-use protocol + cleaned JSON tool schemas +… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-TOOLS-mobile-actions-data-cleaned-rectified.ToolScale
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/yoknachen/ToolScale.hf-coding-tools-dashboard-april
HuggingFace AI Coding Tools Dashboard (Enhanced)
Enhanced benchmark data from the HuggingFace AI Dashboard — includes query metadata (query_set, intent), run metadata (run_name, run_date), and freshness flags for stale references.
This is the v2 enhanced dataset. The original dataset is at davidkling/hf-coding-tools-dashboard.
Dataset Structure
Split
Description
Rows
results
Enhanced results with query/run metadata and freshness flags
9146
queries… See the full description on the dataset page: https://huggingface.co/datasets/clem/hf-coding-tools-dashboard-april.