datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AgentJudgeBench
AgentJudgeBench: Evaluating LLM Judge Reliability on Agentic Tool-Calling
A benchmark for systematically evaluating how reliably LLM judges assess
agentic tool-calling workflows across structured, dependency-driven tasks.
Why this benchmark?
AgentJudgeBench measures how reliably LLM judges assess agentic tool-calling outputs. It provides 3,808 benchmark records spanning six DAG topologies and three difficulty… See the full description on the dataset page: https://huggingface.co/datasets/ServiceNow-AI/AgentJudgeBench.agent-simulations
Agent Simulations
Made with the whileai SDK · Collections: Simulation, Start here: foundational post-training datasets
53,971 synthetic agent trajectories generated by simulations
across 34 agent types. The rows include successful and failed
trajectories for supervised fine-tuning, preference work, reinforcement learning, and
evaluation.
NOTE: This is generated test and training data, not curated ground truth. Review and
filter it for your application before training or… See the full description on the dataset page: https://huggingface.co/datasets/while-ai/agent-simulations.OpenJudge
OpenJudge Benchmark Dataset
Benchmark dataset for evaluating graders across text, multimodal, and agent scenarios. This dataset supports the OpenJudge framework with labeled preference pairs for quality-assured grader development.
Dataset Statistics
Evaluation Benchmarks
Category
Task
Files
Samples
🤖 Agent
12
166
action
1
8
memory
3
47
plan
1
7
reflection
3
52
tool
4
52
🖼️ Multimodal
4
80
image_coherence
1
20
image_editing… See the full description on the dataset page: https://huggingface.co/datasets/agentscope-ai/OpenJudge.read-along-ai-agent-traces
Read-Along AI - Agent Traces
This dataset contains the raw agent traces and conversation logs from the development of Read-Along AI, a submission for the Hugging Face Build Small Hackathon.
Dataset Description
These .jsonl files represent the unedited, behind-the-scenes "agent traces" of the AI coding assistant orchestrating the build of this project.
Sharing these traces fulfills the requirements for the "Sharing is Caring" bonus badge, providing the community… See the full description on the dataset page: https://huggingface.co/datasets/kingkw1/read-along-ai-agent-traces.TR-HASH-Agentic-SFT-32K-210K
TR-HASH Agentic SFT 32K
Balanced instruction and tool-use SFT data for
AETHORIA-AI/TR-HASH-Tokenizer-32K-Agentic.
The canonical repository name is retained, while its contents replace the former
tool-heavy 21K laboratory corpus.
Composition
Split
General instruction
Tool-aware
Total
Train
182,000
18,000
200,000
Validation
9,000
1,000
10,000
The 9% tool-aware training slice contains tool calls, no-call decisions with
tools present, and final… See the full description on the dataset page: https://huggingface.co/datasets/AETHORIA-AI/TR-HASH-Agentic-SFT-32K-210K.hendar-agentic-ai-dataset
Hendar Agentic AI Evaluation & Security Benchmark
A compact, expert-authored benchmark for evaluating trustworthy agentic AI systems across capability, tool use, retrieval, security, policy enforcement, multi-agent coordination and regression safety. The current release contains 104 synthetic cases: 13 cases in each of 8 domains.
This dataset is a public companion to the Agentic AI Academy by Hendar Mawan, PhD. It is designed for evaluation, CI regression testing, red-team… See the full description on the dataset page: https://huggingface.co/datasets/h0000w/hendar-agentic-ai-dataset.AI_Agent_Task_Dataset
🤖 Massive AI Agent Task Dataset (10.5GB)
📌 Overview
Welcome to the AI Agent Task Dataset, a massive 10.5GB procedural dataset designed for training, fine-tuning, and evaluating autonomous AI agents and LLMs.
This dataset focuses on:
Multi-step reasoning
Tool usage (APIs, frameworks, systems)
Real-world execution workflows
Perfect for building agentic AI systems, copilots, and automation models.
📑 Table of Contents
Dataset Details
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/oncody/AI_Agent_Task_Dataset.clawk-ai-agent-dataset
Clawk AI Agent Dataset
Collected by David Keane (IR240474) — NCI MSc Cybersecurity
National College of Ireland | March 2026
📖 Read the Full Journey
From RangerBot to CyberRanger V42 Gold — The Full Story
The complete story: dentist chatbot → Moltbook discovery → 4,209 real injections → V42-gold (100% block rate). Psychology, engineering, and 42 versions of persistence.
🔗 Links
Resource
URL
📦 This Dataset
DavidTKeane/clawk-ai-agent-dataset
🤖… See the full description on the dataset page: https://huggingface.co/datasets/DavidTKeane/clawk-ai-agent-dataset.ai-agents-fr
Agents IA - Dataset Francais
Dataset bilingue complet sur les Agents IA, les Frameworks Multi-Agents et le Model Context Protocol (MCP).
Contenu du Dataset
Categorie
Nombre d'entrees
Description
Architectures d'Agents
15
ReAct, Plan-and-Execute, Reflexion, Multi-Agent, Hierarchique, Swarm, etc.
Frameworks
12
CrewAI, AutoGen, LangGraph, Semantic Kernel, Haystack, Dify, etc.
MCP & Tool Use
15
Architecture MCP, transports, function calling, securite… See the full description on the dataset page: https://huggingface.co/datasets/AYI-NEDJIMI/ai-agents-fr.ai-agents-en
AI Agents - English Dataset
Comprehensive bilingual dataset on AI Agents, Multi-Agent Frameworks, and the Model Context Protocol (MCP).
Dataset Contents
Category
Entry Count
Description
Agent Architectures
15
ReAct, Plan-and-Execute, Reflexion, Multi-Agent, Hierarchical, Swarm, etc.
Frameworks
12
CrewAI, AutoGen, LangGraph, Semantic Kernel, Haystack, Dify, etc.
MCP & Tool Use
15
MCP architecture, transports, function calling, security, ecosystem… See the full description on the dataset page: https://huggingface.co/datasets/AYI-NEDJIMI/ai-agents-en.agent-evaluation-benchmark
Agent Evaluation Benchmark
A benchmark dataset for evaluating AI agent tool-use capabilities across 55+ test cases spanning 14 categories.
Overview
This benchmark tests whether AI agents can correctly select and use the right MCP tools for real-world tasks. It covers data retrieval, blockchain queries, security analysis, academic research, and more.
Categories
Category
Test Cases
Description
Weather
5
Forecasts, UV index, climate history
Blockchain… See the full description on the dataset page: https://huggingface.co/datasets/aiagentkarl/agent-evaluation-benchmark.ai-agent-security-dataset
AI Agent Security and System Prompt Leakage Dataset
Dataset Overview
This dataset was created for research on AI agent security, with a specific focus on system prompt leakage, jailbreak resistance, and security-aligned fine-tuning.
The dataset evaluates how often AI agents reveal confidential information embedded inside their system prompts when exposed to adversarial prompts. It also compares the behavior of a baseline language model against a model fine-tuned using… See the full description on the dataset page: https://huggingface.co/datasets/Dhanjo/ai-agent-security-dataset.ai-agent-security-sft-dpo
AI Agent Security — SFT + DPO
Fine-tuning data for teaching an AI agent to protect its confidential configuration without
becoming uselessly over-cautious. Built for
thesreedath/gemma-2-2b-qa-sft and
derived from
Dhanjo/ai-agent-security-dataset.
Why the helpfulness axis exists
leakage_score in the source dataset is one-sided: a model that refuses every request
scores a perfect 0.0. An existing fine-tune reported 0.0114 mean leakage (down from 0.4611
baseline)… See the full description on the dataset page: https://huggingface.co/datasets/sumitguha13/ai-agent-security-sft-dpo.agenttool-polymorph-landscape
AgentTool Polymorph Landscape
A deterministic public teaching companion for @agenttool/polymorph-landscape@0.1.0-dev.0.
The four lesson rows are original Apache-2.0 paraphrases in English, Cantonese Traditional Chinese, Mandarin Traditional Chinese, and Mandarin Simplified Chinese. They are marked training_eligible: true. The landscape and reachability-shift rows are reference artifacts marked training_eligible: false: they contain bounded scientific claims and primary-source… See the full description on the dataset page: https://huggingface.co/datasets/Yu-and-Ai/agenttool-polymorph-landscape.moltbook-ai-agent-posts
Moltbook AI Agent Posts Dataset
This dataset contains posts and conversations from Moltbook.com, a platform for AI character roleplay and interaction. It was collected as part of a research project comparing synthetic (AI-generated) and organic (human-generated) discourse patterns.
Dataset Statistics
Total Posts: 25,445
Unique Authors: 9,955
Date Range: N/A to N/A
Dataset Structure
Each example contains:
id: Unique post identifier
title: Post title
content:… See the full description on the dataset page: https://huggingface.co/datasets/qugemingzi/moltbook-ai-agent-posts.agenttool-memetic-landscape
AgentTool Memetic Landscape
A deterministic public teaching companion for @agenttool/memetic-landscape@0.1.0-dev.0.
The four lesson rows are original Apache-2.0 paraphrases in English, Cantonese Traditional Chinese, Mandarin Traditional Chinese, and Mandarin Simplified Chinese. They are marked training_eligible: true as a licensing and publication-intent declaration, not a quality guarantee; every row says language_review: not_independently_reviewed. The landscape… See the full description on the dataset page: https://huggingface.co/datasets/Yu-and-Ai/agenttool-memetic-landscape.ai-job-prompts
Dataset Card for Job Descriptions and AI Prompts
Dataset Summary
This dataset includes job descriptions and AI prompts for various occupations. The prompts are designed to induce an AI to act as a person in the specified occupation. The dataset is structured with columns for the industry category, the AI prompt, the job description, and the O*NET-SOC code.
Columns
Title: The industry category of an occupation.
Prompt: A prompt that induces an AI to act like a… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/ai-job-prompts.ai-search-agent
AI Search Agent Agent Meta and Traffic Dataset in AI Agent Marketplace | AI Agent Directory | AI Agent Index from DeepNLP
This dataset is collected from AI Agent Marketplace Index and Directory at http://www.deepnlp.org, which contains AI Agents's meta information such as agent's name, website, description, as well as the monthly updated Web performance metrics, including Google,Bing average search ranking positions, Github Stars, Arxiv References, etc.
The dataset is helpful for AI… See the full description on the dataset page: https://huggingface.co/datasets/DeepNLP/ai-search-agent.PowerBench-AI-Agents
PowerBench – AI Agents
Content warning & responsible use. This dataset contains prompts that
deliberately solicit strategies for concentrating power — including requests
designed to disempower others or to grab power illegitimately —
alongside legitimate control requests, framed from both a human narrator and
an AI-agent narrator. The prompts exist to measure and defend against
unsafe model behavior (refusal vs. over-refusal of power-related requests).
They are released for… See the full description on the dataset page: https://huggingface.co/datasets/PowerBench/PowerBench-AI-Agents.ai-agent-law
AI Agent Law Agent Meta and Traffic Dataset in AI Agent Marketplace | AI Agent Directory | AI Agent Index from DeepNLP
This dataset is collected from AI Agent Marketplace Index and Directory at http://www.deepnlp.org, which contains AI Agents's meta information such as agent's name, website, description, as well as the monthly updated Web performance metrics, including Google,Bing average search ranking positions, Github Stars, Arxiv References, etc.
The dataset is helpful for AI… See the full description on the dataset page: https://huggingface.co/datasets/DeepNLP/ai-agent-law.agentic-ai-instructions-id-en-cleaned
🧹 Agentic AI Instructions (ID-EN) - Cleaned Version
This dataset is the 100% cleaned and validated version of Kimsang766/agentic-ai-instructions-id-en. It has been processed through an enterprise-grade automated data pipeline to ensure pristine data quality for AI and LLM instruction-tuning.
🛠️ Cleaning Pipeline (The Process)
This dataset was sanitized using Polars and validated to guarantee:
0 Missing Values (Nulls): All rows with empty translations were… See the full description on the dataset page: https://huggingface.co/datasets/Kimsang766/agentic-ai-instructions-id-en-cleaned.hermes-agent-reasoning-traces
Hermes Agent Reasoning Traces
Multi-turn tool-calling trajectories for training AI agents using the Hermes Agent harness. Each sample is a real agent conversation with step-by-step reasoning (<think> blocks) and actual tool execution results.
This dataset has two configs, one per source model:
Config
Model
Samples
kimi
Moonshot AI Kimi-K2.5
7,646
glm-5.1
ZhipuAI GLM-5.1-FP8
7,055
Loading
from datasets import load_dataset
# Kimi-K2.5 traces
ds =… See the full description on the dataset page: https://huggingface.co/datasets/ai-with-vishal/hermes-agent-reasoning-traces.mcp-server-catalog
MCP Server Catalog
A comprehensive catalog of 38 Model Context Protocol (MCP) servers for AI agents, covering data access, agent infrastructure, business-to-agent interfaces, compliance, and more.
Overview
This dataset provides a structured catalog of MCP servers that give AI agents access to real-world data and capabilities. Each server follows the MCP standard and can be used with Claude, GPT, and other LLMs that support tool use.
Categories
Category… See the full description on the dataset page: https://huggingface.co/datasets/aiagentkarl/mcp-server-catalog.