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01BitAgent /tool_callingtext100K<n<1M11 likes3.5k downloads2y agoHugging Face02NexusProjectsAI /Nexus-Agents-ToolCalling Nexus Agents — Tool-Calling Conversations Synthetic, schema-verified tool-calling conversations for training the Nexus Projects agents. This is the exact data behind Nemotron-3-Nano-30B-A3B — Nexus Agents (GGUF), including the verification transcripts that scored it (27/27 on the behavioral interview eval, vs 13/27 for the base model). Links: the fine-tuned model → Nemotron-3-Nano-30B-A3B — Nexus Agents (GGUF) · the generator + seed data + eval harness → Nexus Training Studio ·… See the full description on the dataset page: https://huggingface.co/datasets/NexusProjectsAI/Nexus-Agents-ToolCalling.texttext-generation100K<n<1M1 likes3.1k downloads4mo agoHugging Face03smolagents /toolcallingtext10K<n<100K3 likes838 downloads1y agoHugging Face04jdaddyalbs /playwright-mcp-toolcalling Purpose I wanted to train a small agent to use a browser effectively, most smaller models I tried <32b struggled to call the tools correctly. I created this dataset for two main reasons: To help with finetuning smaller models to use the browser specific tools in playwright. To look at the security implications of giving browser access to untrusted open-weight models, see blog post. Versions I am ironing out the kinks, but I will leave the older versions here in… See the full description on the dataset page: https://huggingface.co/datasets/jdaddyalbs/playwright-mcp-toolcalling.text1K<n<10K15 likes635 downloads1y agoHugging Face05BitAgent /tool_calling_shuffletext100K<n<1M5 likes406 downloads2y agoHugging Face06stindardlogic /tool-calling-english-100k Tool Calling English (100K) 100,000 tool-calling conversations in OpenAI function calling format — the largest general English tool-use dataset for fine-tuning. Motivation Models trained without tool-calling examples struggle in agentic deployments. This dataset trains the full cycle: deciding when to call a tool, calling it with correct arguments, interpreting the result, and producing a grounded final response. Dataset Description 100,000… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/tool-calling-english-100k.texttext-generation100K<n<1M1 likes386 downloads2mo agoHugging Face07Mustafaege /qwen3.5-toolcalling-v2 Qwen3.5 Tool Calling Dataset v2 An expanded tool-calling SFT dataset combining smirki/Tool-Calling-Dataset-UIGEN-X and AmanPriyanshu/tool-reasoning-sft-jupyter-agent, unified into Qwen3 messages format. Adds Jupyter notebook agent data with code execution reasoning chains. Dataset Summary Property Value Total Samples ~60K+ Train Split ~55K Test Split ~6K Sources UIGEN-X + Jupyter Agent Format Qwen3 messages Language English License Apache 2.0… See the full description on the dataset page: https://huggingface.co/datasets/Mustafaege/qwen3.5-toolcalling-v2.texttext-generation100K<n<1M49 likes343 downloads7mo agoHugging Face08younissk /tool-calling-mix This is a dataset for fine-tuning a language model to use tools. I combined sources from various other tool calling datasets and added some non-tool calling examples to prevent catastrophic forgetting. Dataset Overview Motivation This dataset was created to address the need for a diverse, high-quality dataset for training language models in tool usage. By combining multiple sources and including non-tool examples, it aims to produce models that can effectively use tools… See the full description on the dataset page: https://huggingface.co/datasets/younissk/tool-calling-mix.imagetext-generation10K<n<100K4 likes239 downloads1y agoHugging Face09smirki /Tool-Calling-Dataset-UIGEN-X Tool Calling Dataset for UIGEN-X This is a cleaned version of the interstellarninja/hermes_reasoning_tool_use dataset, specifically prepared for training with Axolotl. Usage with Axolotl datasets: - path: smirki/Tool-Calling-Dataset-UIGEN-X type: chat_template field_messages: conversations message_property_mappings: role: from content: value split: train Example Structure { "conversations": [ { "from": "system"… See the full description on the dataset page: https://huggingface.co/datasets/smirki/Tool-Calling-Dataset-UIGEN-X.texttext-generation10K<n<100K4 likes175 downloads1y agoHugging Face10dougalldeepmind /2026-07-31-toolcalling-tulu-20-80-mixture Tool-calling + TULU3 replay SFT mixture (20/80) for Qwen3.6-27B The training mixture behind LASR-Callum/2026-07-31-wrongly-trained-qwen36-toolcalling-tulu-lora-20-80: 1,492,442 Qwen3.6 tokens across 2,002 pre-rendered conversations, split 19.96% agentic tool-use / 80.04% TULU3 replay. Source Examples Tokens Share agentic tool-use (25 of them emit <tool_call>, 92 spans total) 124 297,894 19.96% TULU3 replay 1,878 1,194,548 80.04% Total 2,002 1,492,442… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-07-31-toolcalling-tulu-20-80-mixture.texttext-generation1K<n<10K1 likes155 downloads24d agoHugging Face11dougalldeepmind /2026-07-31-toolcalling-tulu-sft-run Run record — Qwen3.6-27B tool-calling 20/80 SFT Everything the training run produced except the weights: the TRL log history, the resolved config, the environment, the loss/accuracy figure and its greppable markdown mirror. The adapter is at LASR-Callum/2026-07-31-wrongly-trained-qwen36-toolcalling-tulu-lora-20-80; the training data is at LASR-Callum/2026-07-31-toolcalling-tulu-20-80-mixture. Required metadata field value experiment One bf16 LoRA SFT… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-07-31-toolcalling-tulu-sft-run.tabularn<1K0 likes144 downloads24d agoHugging Face12Kedar84 /tool_calling_formattedtextn<1K0 likes110 downloads2y agoHugging Face13Kedar84 /tool_calling_extendedtextn<1K0 likes86 downloads2y agoHugging Face14Mustafaege /qwen3.5-toolcalling-v1 Qwen3.5 Tool Calling Dataset v1 A tool-calling SFT dataset built from smirki/Tool-Calling-Dataset-UIGEN-X (a cleaned version of interstellarninja/hermes_reasoning_tool_use), converted from ShareGPT conversations format to Qwen3 messages format. Features deep reasoning chains with <think> tags followed by structured tool calls. Dataset Summary Property Value Total Samples 51,004 Train Split 45,904 Test Split 5,100 Source smirki/Tool-Calling-Dataset-UIGEN-X… See the full description on the dataset page: https://huggingface.co/datasets/Mustafaege/qwen3.5-toolcalling-v1.texttext-generation10K<n<100K1 likes85 downloads7mo agoHugging Face15Theafricatechguy /qwen3.5-toolcalling-v1 Qwen3.5 Tool Calling Dataset v1 A tool-calling SFT dataset built from smirki/Tool-Calling-Dataset-UIGEN-X (a cleaned version of interstellarninja/hermes_reasoning_tool_use), converted from ShareGPT conversations format to Qwen3 messages format. Features deep reasoning chains with <think> tags followed by structured tool calls. Dataset Summary Property Value Total Samples 51,004 Train Split 45,904 Test Split 5,100 Source… See the full description on the dataset page: https://huggingface.co/datasets/Theafricatechguy/qwen3.5-toolcalling-v1.texttext-generation10K<n<100K0 likes81 downloads28d agoHugging Face16tejeshbhalla /tool_callingtext1K<n<10K0 likes73 downloads2y agoHugging Face17JungHun /Efficient_ToolCallingtext100K<n<1M1 likes70 downloads10mo agoHugging Face18tuandunghcmut /Nemotron-SFT-Agentic-v2-search-toolcalling-parquet Nemotron-SFT-Agentic-v2 Search and Tool Calling Parquet Subset Parquet conversion of nvidia/Nemotron-SFT-Agentic-v2 containing only the search and tool calling splits. Nested JSON fields are preserved as compact JSON strings to keep a stable Parquet schema across records. Files search.parquet: 5,968 rows tool_calling.parquet: 8,444 rows Note: one malformed source record in tool_calling.jsonl is preserved via __raw_record and __parse_error. text10K<n<100K0 likes66 downloads3mo agoHugging Face19AwaisAdilKhokhar /dataset-for-toolcallingtext100K<n<1M0 likes61 downloads1y agoHugging Face20oddadmix /tool-calling-ar-augmentedtext100K<n<1M0 likes61 downloads3mo agoHugging Face21kshitijthakkar /smolagents-toolcalling-mergedtext10K<n<100K0 likes54 downloads1y agoHugging Face22ProjectScugnizz /scugnizz-toolcalling-synthetic-v3 Scugnizz Tool Calling Synthetic Dataset sintetico per TOOL_CALL / TOOL_RESULT. Categorie: { "negative_tool_not_available": 18, "tool_result_mail": 2530, "positive_hash": 6, "similar_tools": 90, "tool_result_finance": 164457, "positive_ip": 15, "tool_result_weather": 134612, "positive_dns": 60, "positive_multitool": 432, "tool_result_calendar": 448, "positive_weather": 72, "negative_no_tool_needed": 3, "negative_missing_required_arg": 3… See the full description on the dataset page: https://huggingface.co/datasets/ProjectScugnizz/scugnizz-toolcalling-synthetic-v3.texttext-generation100K<n<1M0 likes54 downloads3mo agoHugging Face23JungHun /Efficient_ToolCalling_traintext10K<n<100K1 likes50 downloads10mo agoHugging Face24minh132 /tool_callingtext100K<n<1M0 likes49 downloads2y agoHugging Face25igidn /loap-reasoning-toolcalling-20k loap-reasoning-toolcalling-20k loap-reasoning-toolcalling-20k is a synthetic dataset designed to train language models in reasoning (Chain of Thought) and tool usage. Language: English Format: Chat (System, User, Model, Tool) Dataset Structure [ { "id": "synthetic_agent_00001", "conversations": [ { "role": "system", "content": "You are a helpful AI agent.\nYou have access to the following tools:" }, { "role": "tools"… See the full description on the dataset page: https://huggingface.co/datasets/igidn/loap-reasoning-toolcalling-20k.texttext-generation10K<n<100K3 likes49 downloads8mo agoHugging Face26CodeXomics /CodeXomics-ToolCalling-v1 CodeXomics-ToolCalling-v1 This dataset contains the supervised tool-calling trajectories used to fine-tune CodeXomics-ToolAgent-4B-v1 (internally qwen3.5:4b-codexomics-tools-v5) for the CodeXomics genomics workbench (an AI-native genome browser; source: github.com/Scilence2022/CodeXomics). It is released as the reproducibility artifact for the corresponding paper section and is licensed under Apache-2.0. Contents train.jsonl — 373 supervised examples valid.jsonl… See the full description on the dataset page: https://huggingface.co/datasets/CodeXomics/CodeXomics-ToolCalling-v1.textn<1K0 likes49 downloads2mo agoHugging Face27CreativeBuilds /tool-callingtextn<1K1 likes46 downloads2y agoHugging Face28annajuliaasf /tool-calling-traces-ptbr Tool calling conversations in Portuguese 484 synthetic conversations that teach a model when to call a tool, which one to call and with which arguments, and also when to answer directly, with no tool at all. Each line of the file is a complete conversation: the user's question, the tool call, the simulated return of that tool, and the final answer. It was built because no dataset of tool calling in Portuguese with fictional tools existed. The 30 tools and the user questions were… See the full description on the dataset page: https://huggingface.co/datasets/annajuliaasf/tool-calling-traces-ptbr.texttext-generationn<1K0 likes42 downloads2mo agoHugging Face29AIGym /tool-calling-v1text10K<n<100K0 likes40 downloads1y agoHugging Face30txchmechanicus /qwen3.5-toolcalling-v2 Qwen3.5 Tool Calling Dataset v2 An expanded tool-calling SFT dataset combining smirki/Tool-Calling-Dataset-UIGEN-X and AmanPriyanshu/tool-reasoning-sft-jupyter-agent, unified into Qwen3 messages format. Adds Jupyter notebook agent data with code execution reasoning chains. Dataset Summary Property Value Total Samples ~60K+ Train Split ~55K Test Split ~6K Sources UIGEN-X + Jupyter Agent Format Qwen3 messages Language English License Apache 2.0… See the full description on the dataset page: https://huggingface.co/datasets/txchmechanicus/qwen3.5-toolcalling-v2.texttext-generation100K<n<1M1 likes40 downloads7mo agoHugging Face

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