datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
agent-symbolic-guardrailsThis dataset contains data associated with the paper Symbolic Guardrails for Domain-Specific Agents: Stronger Safety and Security Guarantees Without Sacrificing Utility.
Code: https://github.com/hyn0027/agent-symbolic-guardrails
Subsets
literature_review
This subset contains the metadata of the systematic literature review data. Details are discussed in Section 3 in the paper.
adversarial_MedAgentBench
This subset contains the adversarial tasks we… See the full description on the dataset page: https://huggingface.co/datasets/hyn0027D/agent-symbolic-guardrails.context-ucurve-coding-agents
Context U-curve: 36 coding-agent runs under six context-clearing policies
How often should an LLM coding agent's context be cleared? This dataset holds every run behind the report
"Clear Every Third Task: A Measured U-Curve in the Context Economy of Coding Agents"
(Evgenii Arsentev, 2026; corrected version 1.2, DOI 10.5281/zenodo.22759217; version 1.0: DOI 10.5281/zenodo.22699668).
A fixed suite of twelve programming tasks was run under six session-length policies — a fresh… See the full description on the dataset page: https://huggingface.co/datasets/arsentev-ai/context-ucurve-coding-agents.SkillLeakBench
SkillLeakBench
A credential-leakage benchmark for LLM agent skills, from the ASE 2026 paper How Your Credentials Are Leaked by LLM Agent Skills: An Empirical Study.
📄 Paper: https://arxiv.org/abs/2604.03070
💻 Code & detection pipeline: https://github.com/AgentSkillsPrivacy/SkillLeakBench
📦 Archive: https://doi.org/10.5281/zenodo.19367969
Dataset summary
We collected 170,226 skills from SkillsMP and analyzed a 17,022-skill sample with static secret extraction… See the full description on the dataset page: https://huggingface.co/datasets/AgentSkillPrivacy/SkillLeakBench.wc2026-agents
WC2026-Agents: ChatGPT vs Claude vs Gemini vs Grok on the 2026 FIFA World Cup
WC2026-Agents is a contamination-free benchmark in which four frontier LLMs act as autonomous forecasting agents over the entire 2026 FIFA World Cup (104 matches, 11 June to 19 July 2026). Each agent (Claude Opus 4.8, ChatGPT GPT-5.5 with high reasoning, Gemini 3.1 Pro, and Grok Expert Mode) ran an identical search, act, reflect loop per match: search the web, commit to a 1X2 (team A win / draw / team… See the full description on the dataset page: https://huggingface.co/datasets/dingjiacheng/wc2026-agents.agent-shoppable-census
Agent-Shoppable Census
Can an AI agent buy a ring here?
This is a reproducible census of 100 US online sellers of engagement rings and
diamond jewelry. It tests public agent-readiness signals and separates them into
two tiers so that default ecommerce-platform features do not inflate the result.
The September 2026 snapshot reports 18 Tier A sellers with merchant-built agent
signals, 52 Tier B sellers with platform-inherited signals, and 30 sellers that
were unreachable to the… See the full description on the dataset page: https://huggingface.co/datasets/JacobiusMakes/agent-shoppable-census.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.agent-scraper-price-index-2026-09
Agent scraper price index, September 2026
The rows behind the report Agent scraper price index, September 2026 on cracked.ai: what 1,000 results cost for 18 of the most requested scraping and search capabilities, tool by tool, through three routes.
Method
For each capability, every live candidate tool on Cracked is listed with three prices for 1,000 results: the price billed on Cracked's own provider account (cost_1000_cracked_usd, provider price plus the $0.001… See the full description on the dataset page: https://huggingface.co/datasets/crackedvibe/agent-scraper-price-index-2026-09.nichevault-uk-estate-agents
NicheVault UK Estate Agents — Free Sample Dataset
15 active UK companies registered under SIC 68310 — Real estate agencies — collected from Companies House.
This public sample lets you inspect the formatting, provenance and exact 14-column schema used in the paid NicheVault dataset.
Dataset contents
15 company records
Active on the Companies House register at time of collection. Some records may carry an additional status qualifier, shown in status_detail, such… See the full description on the dataset page: https://huggingface.co/datasets/NicheVault/nichevault-uk-estate-agents.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.erc8004-simulated-agents
ERC-8004 Simulated Agents — labeled synthetic dataset (6,000 agents)
⚠️ This dataset is fully synthetic. No public labeled dataset of malicious ERC-8004 agents exists (the standard reached mainnet in 2026 and exposes no trust label), so this dataset simulates the feature distributions the three ERC-8004 registries would expose, for training/evaluating trustworthiness models. For real on-chain data see the companion Base mainnet census.
Composition
6,000 agents, 1… See the full description on the dataset page: https://huggingface.co/datasets/rsoft-latam/erc8004-simulated-agents.agents-course-unit3-invitees-expandedcryoprotective-agents
eamag/cryoprotective-agents
Auto-generated CSV using papers2dataset tool. THIS IS A PROOF OF CONCEPT, done with a free LLM and not double checked
synthetic_agentsagent-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.