datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SPADE-Grounding-Corpus-ToolUse-15K
SPADE grounding corpus: tool use (15k)
Reference documents the SPADE Environment Designer is grounded on when generating multi-turn tool-use environments. 15,552 source files drawn from nvidia/Nemotron-Pretraining-Code-v3.
Documents
15,552
Setting
tool_use
Fields
text (the document), metadata (source provenance)
Each generation prompt embeds one sampled document, so the environments a Designer
writes stay anchored to a real concept or technique rather than… See the full description on the dataset page: https://huggingface.co/datasets/spade-rl/SPADE-Grounding-Corpus-ToolUse-15K.verified-tool-use-dataset
Verified tool-use trajectories for LLM agents
This was a time-boxed experiment by an autonomous agent (Protogonos), now concluded. Nothing here is offered for sale or for hire, and no payment is accepted.
Multi-turn function-calling conversations for training and evaluating
tool-using agents — 48 trajectories across 16 domains, with every tool call
checked against its tool's JSON-Schema. The free sample in this repo is a real
slice of the full set: the viewer above renders it… See the full description on the dataset page: https://huggingface.co/datasets/protogonos/verified-tool-use-dataset.voice-light-tool-use-synthetic
Voice Light Teacher-Led Tool-Use Synthetic
This repository contains the current canonical synthetic source dataset for Voice Light's
conversational tool-use fine-tuning. The current revision contains 3,994 provider-neutral English
conversations generated from 4,000 deterministic teacher-led scenario plans. Every conversation
has four user turns so follow-up requests can depend naturally on prior turns and tool results.
The Hugging Face train split names the canonical JSONL file… See the full description on the dataset page: https://huggingface.co/datasets/BertilBraun/voice-light-tool-use-synthetic.qwen35-2b-tool-use-qwen36-27b-curation-candidates
Full candidate collections: 2B tool use + 27B data curation
This public Dataset contains two complete, unredacted, exact-40 candidate collections:
Tool use: Qwen/Qwen3.5-2B at 15852e8c16360a2fea060d615a32b45270f8a8fc, 5,849 tasks and
233,960 candidates across ACEBench, APIBank, BFCL, BIRD, NESTFUL,
Spider, and TravelPlanner.
Data curation: Qwen/Qwen3.6-27B at 6a9e13bd6fc8f0983b9b99948120bc37f49c13e9, 5,021
targets and 200,840 candidates, plus the source target rows and the… See the full description on the dataset page: https://huggingface.co/datasets/asingh15/qwen35-2b-tool-use-qwen36-27b-curation-candidates.agentic-dpo-tool-use-3k
Agentic DPO Tool-Use Pairs (3K)
Synthetic DPO preference pairs for training LLMs to use tools correctly in agentic settings.
Dataset Description
3,000 preference pairs covering 7 tool categories:
web_search — real-time web search
calculator — mathematical expression evaluation
weather_api — current weather retrieval
code_interpreter — Python code execution
database_query — SQL database queries
stock_price — financial data lookup
translate — multilingual… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/agentic-dpo-tool-use-3k.tool-use-dpo-100k
Tool Use DPO (100K)
100,000 DPO preference pairs for training models to make correct tool use decisions. Each pair includes a user prompt, a chosen response that correctly reasons about tool use, and a rejected response that makes a tool use mistake.
Covers 6 decision categories and 23 distinct tool use failure patterns found in production agentic AI systems.
Motivation
As LLMs are deployed in agentic pipelines with access to tools (APIs, databases, code execution… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/tool-use-dpo-100k.qwen35-2b-tool-use-candidates
Qwen3.5-2B Full Tool-Use Candidates
This is the complete certified seven-suite tool-use collection for Qwen/Qwen3.5-2B at immutable
model revision 15852e8c16360a2fea060d615a32b45270f8a8fc.
5,849 original tasks
exactly 40 unprivileged candidates per task
233,960 complete candidate responses
ACEBench, APIBank, BFCL, BIRD, NESTFUL, Spider, and TravelPlanner
AppWorld is not included
data/unprivileged.jsonl is a byte-for-byte copy of the certified collection. Original task IDs… See the full description on the dataset page: https://huggingface.co/datasets/asingh15/qwen35-2b-tool-use-candidates.hermes-tool-use-reasoning-ar
Arabic Hermes Tool-Use Reasoning
Arabic translation of the Hermes Tool Use Reasoning dataset for research on Arabic function calling, tool selection, argument generation, and tool-call verification.
The release contains 2,422 examples covering 1,172 unique tools in ShareGPT format.
Dataset Structure
Each example contains:
{
"tools": [...],
"conversations": [...]
}
tools: candidate tool declarations, including names, descriptions, parameter names, types, and… See the full description on the dataset page: https://huggingface.co/datasets/Makeen-AraFC/hermes-tool-use-reasoning-ar.qwen36-27b-tool-use-candidates
Qwen3.6-27B Full Tool-Use Candidates
This is the complete certified seven-suite tool-use collection for Qwen/Qwen3.6-27B at revision
6a9e13bd6fc8f0983b9b99948120bc37f49c13e9.
5,849 original tasks
exactly 40 unprivileged candidates per task
233,960 complete candidate responses
ACEBench, APIBank, BFCL, BIRD, NESTFUL, Spider, and TravelPlanner
AppWorld is not included
data/unprivileged.jsonl is a byte-for-byte copy of the certified collection. Original task IDs, task
text, tool… See the full description on the dataset page: https://huggingface.co/datasets/asingh15/qwen36-27b-tool-use-candidates.glaive-tool-use-reasoning-ar
Arabic Glaive Tool-Use Reasoning
Arabic translation and augmentation of the Glaive Function Calling data for research on Arabic function calling, tool selection, argument generation, and tool-call verification.
The release contains 3,336 examples covering 414 tools in ShareGPT format.
Dataset Structure
Each example contains:
{
"tools": [...],
"conversations": [...]
}
tools: candidate tool declarations, including names, descriptions, parameter names, types… See the full description on the dataset page: https://huggingface.co/datasets/Makeen-AraFC/glaive-tool-use-reasoning-ar.indonesian-agent-tooluse
Agent Tool-Use Bahasa Indonesia 🤖
Dataset 241 contoh function-calling / tool-use berbahasa Indonesia — instruksi user natural + tool definitions + tool calls yang tepat + response.
Kenapa dataset ini ada?
Tool-calling adalah tren paling panas di HF (orca-agentinstruct 466 likes, Toucan 226, DeepScaleR 205) — tapi tidak ada satu pun dataset tool-use berbahasa Indonesia. Model lokal yang bisa panggil tool (cek cuaca, booking, cari rute) dalam bahasa Indonesia = gap… See the full description on the dataset page: https://huggingface.co/datasets/LorthGyu/indonesian-agent-tooluse.zeroclaw-tool-use-training
ZeroClaw Tool-Use Training Data
Training dataset for teaching LLMs to use tools in the ZeroClaw autonomous agent runtime.
Format
Standard chat-messages JSONL. Each line is a complete multi-turn conversation:
{"messages": [{"role": "system", "content": "..."}, {"role": "user", "content":"..."}, {"role": "assistant", "content": "<tool_call>...</tool_call>"}]}
Stats
457 examples with 1470 tool-call turns
25 tools covered: shell, file_read, file_write… See the full description on the dataset page: https://huggingface.co/datasets/lmcoleman/zeroclaw-tool-use-training.keural-nova-tooluse
Keural Nova — tool-calling SFT slice (PRIVATE)
Tool-calling data used for Keural Nova v1.2. 17,337 rows: single-turn, multi-turn
(call -> tool result -> final answer), negative (no-call), and long-context up to 32k tokens.
Rendered as Qwen XML tool calls via ms-swift's native agent schema
(tool_call/tool roles + per-row tools JSON string).
tooluse_short.jsonl — 14,337 rows (<= ~3.6k tokens)
tooluse_long32k.jsonl — 3,000 rows (8k–32k tokens)
Sources / licenses:… See the full description on the dataset page: https://huggingface.co/datasets/mkd-hossain/keural-nova-tooluse.