datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
b3-agent-security-benchmark-weak[paper] [blogpost] [game]
b3 AI Security Benchmark: Breaking Agent Backbones
Highly contextalized prompt injections crowd-sourced during the Gandalf Agent Breaker Challenge.
This is a low-quality version of the data behind Breaking Agent Backbones: Evaluating the Security
of Backbone LLMs in AI Agents.
The high quality dataset was used to evaluate the security of more than 30 LLMs.
Dataset Summary
Purpose: This dataset contains crowdsourced adversarial attacks… See the full description on the dataset page: https://huggingface.co/datasets/Lakera/b3-agent-security-benchmark-weak.deepresearchgym-agentic-search-logs
DeepResearchGym Agentic Search Logs
This repository hosts the dataset accompanying the paper “Agentic Search in the Wild” (arXiv: https://arxiv.org/abs/2601.17617).
The dataset contains 14M+ search queries collected via DeepResearchGym (DRGym), an open-source search API designed for DeepResearch-style agentic search. For more background on DRGym, see: https://arxiv.org/abs/2505.19253.
All records have been anonymized and shuffled to prevent re-identification, and we additionally… See the full description on the dataset page: https://huggingface.co/datasets/cx-cmu/deepresearchgym-agentic-search-logs.AgentYear: 2025License: MITAuthor: Sepideh Moafi
PathogenAgentAI Instruction Dataset
Dataset Description
A ClinVar-derived dataset developed as part of the PathogenAgentAI research software project. The dataset is released in two parallel formats:
Tabular version (train.csv, valid.csv, test.csv) — structured genomic-variant data for classical ML and analysis.
BioGPT instruction version (biogpt_train.csv, biogpt_valid.csv, biogpt_test.csv) — instruction-style data… See the full description on the dataset page: https://huggingface.co/datasets/Sepideh2027/Agent.PortBench-Market
PortBench Market Base Dataset
Dataset Description
A ten-year (Jan 2015–Dec 2025) daily financial dataset covering 183 instruments across six heterogeneous asset classes, designed for multi-asset portfolio management research and LLM evaluation.
Asset Coverage
Asset Class
Instruments
Data Fields
Sources
Equities
126
OHLCV + return
Yahoo Finance (ETFs: broad market, sector, factor, international)
Bonds
16
Close + return (ETFs); yield… See the full description on the dataset page: https://huggingface.co/datasets/AgenticFinLab/PortBench-Market.agentic-reasoning-benchmark
Agentic & Reasoning Benchmark (ARB) – Expanded
Ein synthetischer Benchmark mit 2.550 Fragen und Lösungen, optimiert für die Evaluation von Agentic Capabilities und Reasoning.
Überblick
Eigenschaft
Wert
Anzahl Beispiele
2.550
Kategorien
8
Schwierigkeitsgrade
easy / medium / hard
Formate
CSV + JSON
Reproduzierbarkeit
Generator-Skript (seed=42) enthalten
Lizenz
CC-BY-4.0
Kategorien
Kategorie
Anzahl
Beschreibung… See the full description on the dataset page: https://huggingface.co/datasets/roskosmos19/agentic-reasoning-benchmark.Habilidades_Agente_v1
Description
Español:
Presentamos un conjunto de datos que presenta tres partes principales:
1. Dataset sobre habilidades blandas.
2. Dataset de conversaciones empresariales entre agentes y clientes.
3. Dataset curado de Alpaca en español: Este dataset toma como base el dataset https://huggingface.co/datasets/somosnlp/somos-alpaca-es,
y fue curado con la herramienta Argilla, alcanzando 9400 registros curados.
Los datos están estructurados en torno a un método que se describe… See the full description on the dataset page: https://huggingface.co/datasets/somosnlp-hackathon-2023/Habilidades_Agente_v1.qwen9b-coop-mini-swe-agent
qwen9b-coop-mini-swe-agent
Two-agent cooperative coding trajectories generated by running
CooperBench in coop mode on
the CooperData task set, using
Qwen/Qwen3.5-9B as the model and mini_swe_agent_v2 as the agent framework.
Each pair runs two agents in parallel — one per feature — coordinating via Redis messaging and a shared git remote.
The matched solo version is at
CooperBench/qwen9b-solo-mini-swe-agent.
Same task corpus, same model, same agent — only the coordination differs… See the full description on the dataset page: https://huggingface.co/datasets/CooperBench/qwen9b-coop-mini-swe-agent.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.when-agents-act
Dataset Card for "When Agents Act"
Dataset Summary
This dataset contains 702 ethical decision judgements from 9 frontier LLMs (Claude Opus 4.5, GPT-5, GPT-5 Nano, Claude Sonnet 4.5, Claude Haiku 4.5, Gemini 3 Pro, Gemini 2.5 Flash, Grok-4, Grok-4 Fast) across 10 rigorously curated AI-relevant ethical dilemmas. Models were tested in both theory mode (hypothetical reasoning) and action mode (tool-enabled agents believing actions would execute).
Key Finding: Models reverse… See the full description on the dataset page: https://huggingface.co/datasets/values-md/when-agents-act.qwen9b-solo-mini-swe-agent
qwen9b-solo-mini-swe-agent
Single-agent coding trajectories generated by running
CooperBench in solo mode on
the CooperData task set, using
Qwen/Qwen3.5-9B as the model and mini_swe_agent_v2 as the agent framework.
One agent implements both features in each task.
The matched coop version is at
CooperBench/qwen9b-coop-mini-swe-agent.
Same task corpus, same model, same agent — only the coordination differs, so
together they isolate the cooperation deficit.
At a glance… See the full description on the dataset page: https://huggingface.co/datasets/CooperBench/qwen9b-solo-mini-swe-agent.deepresearchgym-agentic-search-logs
DeepResearchGym Agentic Search Logs
This repository hosts the dataset accompanying the paper “Agentic Search in the Wild” (arXiv: https://arxiv.org/abs/2601.17617).
The dataset contains 14M+ search queries collected via DeepResearchGym (DRGym), an open-source search API designed for DeepResearch-style agentic search. For more background on DRGym, see: https://arxiv.org/abs/2505.19253.
All records have been anonymized and shuffled to prevent re-identification, and we additionally… See the full description on the dataset page: https://huggingface.co/datasets/ethanning/deepresearchgym-agentic-search-logs.agent-eval-scenarios
Agent Eval Scenarios
Agent Eval Scenarios is a compact public dataset for lightweight evaluation of AI agents working on practical engineering and operations tasks.
It is designed to be:
small enough to inspect manually
structured enough to extend into a benchmark
grounded in real agent workflows such as code review, debugging, docs synthesis, security hardening, UI verification, and workflow automation
Files
data/agent_eval_scenarios.csv — labeled scenarios with… See the full description on the dataset page: https://huggingface.co/datasets/mukunda1729/agent-eval-scenarios.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.agent-sandbox-negotiation-benchmark
Agent Sandbox Negotiation Benchmark v1
Overview
A dataset of simulated multi-agent negotiations generated using the open-source Agent Sandbox framework.
This dataset captures the final negotiation outcomes, turn depths, strategy alignments, and agreed prices of local LLMs (Llama-3 and Mistral) engaged in intense, adversarial price negotiations at massive scale.
Dataset Statistics
Simulations: 24,122
Strategies: 4 (Balanced, Aggressive, Conservative, Adaptive)… See the full description on the dataset page: https://huggingface.co/datasets/ScareRezume/agent-sandbox-negotiation-benchmark.eval-agent-traceEval Agent Trace of a MLE Agent by Celestra. Sythetically Generated by gpt 5.2 thinking
agentbank_personas
AgentBank Personas
This repository contains 1000 personas from the AgentBank dataset of Park et al. 2024, converted to CSV from the StanfordHCI/genagents dataset.
agent-sft
OpenThoughts Agent v1 SFT - Hirundo Format
Prepared from open-thoughts/OpenThoughts-Agent-v1-SFT for Hirundo custom dataset loading.
Schema
Each split has two string columns:
question: all prior turns rendered as a multi-turn transcript.
answer: the assistant response to train on.
The Hugging Face repo stores separate split files:
data/train.csv
data/validation.csv when validation_fraction > 0
The local combined CSV emitted by the script also includes a split… See the full description on the dataset page: https://huggingface.co/datasets/hirundo-io/agent-sft.