datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
glaive_function_calling_v1_standardizedcrypto-agent-safe-function-calling
CrAI-SafeFuncCall Dataset
📄 Paper: Real AI Agents with Fake Memories: Fatal Context Manipulation
Attacks on Web3 Agents
🤗 Dataset: CrAI-SafeFuncCall
📊 Benchmark: CrAI-Bench
Overview
The CrAI-SafeFuncCall dataset is designed to enhance the security of AI agents when performing function calls in the high-stakes domain of cryptocurrency and financial applications. It focuses on the critical challenge of detecting and mitigating memory injection attacks. Derived from the… See the full description on the dataset page: https://huggingface.co/datasets/SentientAGI/crypto-agent-safe-function-calling.glm-5.3-flash-function-calling
GLM-5.3-Flash Function Calling (multi-turn agentic, Coding/DevOps)
Synthetic multi-turn agentic function-calling conversations generated with
zai-org/GLM-5.3-Flash via HF Inference Providers.
Format: OpenAI chat messages with a tools array of JSON-schema function definitions.
Assistant turns carry tool_calls; tool outputs are model-simulated (role: "tool").
Domains: {"containers": 75, "lint_build": 49, "git": 74, "deploy": 70, "shell": 69, "code_review": 71, "ci": 35… See the full description on the dataset page: https://huggingface.co/datasets/closestfriend/glm-5.3-flash-function-calling.Function_calling_SFTcrypto-agent-safe-function-calling
CrAI-SafeFuncCall Dataset
📄 Paper: Real AI Agents with Fake Memories: Fatal Context Manipulation
Attacks on Web3 Agents
🤗 Dataset: CrAI-SafeFuncCall
📊 Benchmark: CrAI-Bench
Overview
The CrAI-SafeFuncCall dataset is designed to enhance the security of AI agents when performing function calls in the high-stakes domain of cryptocurrency and financial applications. It focuses on the critical challenge of detecting and mitigating memory injection attacks. Derived from the… See the full description on the dataset page: https://huggingface.co/datasets/peiyao-sentient/crypto-agent-safe-function-calling.gpt-4o-function-calling-traces
Dataset Card for Dataset Name
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/cfahlgren1/gpt-4o-function-calling-traces.audio-function-calling
Audio Function Calling Dataset
A synthetic multi-turn conversation dataset for audio-based tool/function calling.
Each sample contains a system prompt with tool definitions, alternating user and assistant turns,
where user turns are designed for audio (natural spoken language with filler words) and assistant
turns may include tool calls.
Note: This is the first batch (137 audio samples, 153 text-only samples). We are actively improving the generation pipeline and will be adding… See the full description on the dataset page: https://huggingface.co/datasets/mlech26l/audio-function-calling.glaive-function-calling-v2-ko-refined
glaive-function-calling-v2-ko-refined
Created by: Seungwoo Ryu
Overview
This dataset is an enhanced version of the heegyu/glaive-function-calling-v2-ko dataset, specifically optimized for Qwen models and addressing JSON parsing issues in the original dataset. The dataset contains Korean conversations with function calling annotations, standardized for easier use in tool-augmented language models, with particular attention to Qwen's function calling implementation.… See the full description on the dataset page: https://huggingface.co/datasets/tryumanshow/glaive-function-calling-v2-ko-refined.xlam-function-calling-60k-cli
xLAM Function Calling 60K — Positional CLI
A deterministic transformation of Salesforce/xlam-function-calling-60k, created with the APIGen pipeline by Salesforce AI Research. This is an independent derivative, not an official Salesforce release.
60,000 examples; 100,011 calls; zero conversion failures. Every call preserves its original name, argument names, values, and JSON value types. The exported Parquet file was independently read back and all rows were validated again. This… See the full description on the dataset page: https://huggingface.co/datasets/rifqi2320/xlam-function-calling-60k-cli.restructured-glaive-function-calling-v2
Glaive Function Calling V2 (Structured)
This dataset is a cleaned and structured version of the originalGlaive Function Calling V2.
The goal of this dataset is to make the conversations easier to use for training tool-calling / function-calling language models, such as:
Llama
Qwen
Mistral
DeepSeek
other OpenAI-compatible tool calling models
The original dataset stores conversations as raw text.This version converts them into a structured message format suitable for modern LLM… See the full description on the dataset page: https://huggingface.co/datasets/muhammadravi251001/restructured-glaive-function-calling-v2.Nemotron-RL-Agentic-Function-Calling-Pivot-v1-prompt-only
Nemotron-RL-Agentic-Function-Calling-Pivot-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Agentic-Function-Calling-Pivot-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Agentic-Function-Calling-Pivot-v1-prompt-only.oasst2_orpo_mix_function_call_phi_3_v1
https://huggingface.co/datasets/NickyNicky/function_call_orpo_sft_phi3_chatML_only
https://huggingface.co/datasets/NickyNicky/oasst2_orpo_mix_tokenizer_phi_3_v1
function_call_orpo_sft_phi3_chatML_only
take dataset
hiyouga/glaive-function-calling-v2-sharegpt
load code.
from datasets import load_dataset
# unsloth_Phi_3_mini_4k_instruct_unsloth_oasst2_orpo_mix_tokenizer_phi_3_v1_0001
import os
dataset = load_dataset('NickyNicky/function_call_orpo_sft_phi3_only','default')
# sft
data_formater=data_formater.remove_columns(['prompt','chosen','rejected'])
# orpo-dpo
data_formater=data_formater.remove_columns(['Text'])
sft Column 'Text'.
You are a helpful AI… See the full description on the dataset page: https://huggingface.co/datasets/NickyNicky/function_call_orpo_sft_phi3_chatML_only.new_single_turn_function_calling_splitsingle_turn_function_callingaudio-function-calling
Audio Function Calling Dataset
A synthetic multi-turn conversation dataset for audio-based tool/function calling.
Each sample contains a system prompt with tool definitions, alternating user and assistant turns,
where user turns are designed for audio (natural spoken language with filler words) and assistant
turns may include tool calls.
Note: This is the first batch (137 audio samples, 153 text-only samples). We are actively improving the generation pipeline and will be adding… See the full description on the dataset page: https://huggingface.co/datasets/nandinireddy123/audio-function-calling.repoexec_functioncalling_testgpt-4o-function-calling-traces
tags:
observers
Dataset Card for Dataset Name
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo… See the full description on the dataset page: https://huggingface.co/datasets/pprajan/gpt-4o-function-calling-traces.repoexec_function_calling