datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gaia2
Gaia2
Paper | Code | Project Page
Dataset Summary
Gaia2 is a benchmark dataset for evaluating AI agent capabilities in simulated environments. The dataset contains 800 scenarios that test agent performance in environments where time flows continuously and events occur dynamically.
The dataset evaluates seven core capabilities: Execution (multi-step planning and state changes), Search (information gathering and synthesis), Adaptability (dynamic response to environmental… See the full description on the dataset page: https://huggingface.co/datasets/meta-agents-research-environments/gaia2.gaia2_filesystem
GAIA2 Filesystem
This is a dataset containing files for the GAIA2 benchmark. You should not use this dataset on its own, but instead use the Meta Agents Research Environments framework to execute scenarios from that GAIA2 dataset.
Dataset Link
https://huggingface.co/datasets/meta-agents-research-environments/gaia2
Contact Details
Publishing POC: Meta AI Research Team
Affiliation: Meta Platforms, Inc.
Website:… See the full description on the dataset page: https://huggingface.co/datasets/meta-agents-research-environments/gaia2_filesystem.research-agent-rl-episodesgaia2-cli
GAIA2 CLI
Benchmark dataset for gaia2-cli, the CLI-based agent evaluation harness.
Schema
Each row has two columns:
Column
Type
Description
scenario_id
string
Unique scenario identifier (e.g. scenario_universe_21_1qgjj6)
scenario
string
Complete scenario as a JSON string
Usage
from datasets import load_dataset
import json
# Load a specific config (160 scenarios)
ds = load_dataset("meta-agents-research-environments/gaia2-cli", "adaptability"… See the full description on the dataset page: https://huggingface.co/datasets/meta-agents-research-environments/gaia2-cli.tool-reasoning-sft-RESEARCH-openresearcher-dataset-sft-deep-research-agent-data-cleaned
OpenResearcher Dataset - Cleaned & Restructured
👥 Follow the Author
Aman Priyanshu
Overview
This dataset is a cleaned and restructured version of the OpenResearcher Dataset released by the TIGER-AI-Lab. The original dataset contains 96K+ long-horizon deep research trajectories generated by GPT-OSS-120B with native browser tools. This version converts the GPT-OSS channel-based message format into a standardized multi-turn tool-use conversation… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-RESEARCH-openresearcher-dataset-sft-deep-research-agent-data-cleaned.agent-trajectories-swe-bench-test-minus-verified
Agent Trajectories: SWE-bench Test \ Verified — Mixed Teachers (gpt-5.2 / gpt-5-mini)
Summary
Full multi-turn agent trajectories collected from the SWE-bench Test minus Verified split
(i.e., SWE-bench Test instances that are not part of SWE-bench Verified).
Intended for SFT of agent models on coding tasks.
Data Collection
Each trajectory was produced by a GT-aware lookahead agent that, at every turn:
Sampled a candidate response from both gpt-5.2 and… See the full description on the dataset page: https://huggingface.co/datasets/JetBrains-Research/agent-trajectories-swe-bench-test-minus-verified.ai-research-berkeley-agentic-verification-harness-opt
Agentic Verification Meta-Verifier Traces
This public, manually gated Dataset repository stores immutable phase snapshots
from Meta-Verifier experiments.
Each run is organized as:
experiments/<theme>/<method>/<run>/phases/
train/ # Solver, delegated-verifier, Proposer/Reflector, harness population
val/ # Full validation traces, metrics, and selected frozen harness
heldout/ # Claimed held-out stage, all scheduled cells, and final scores
Access requests are… See the full description on the dataset page: https://huggingface.co/datasets/MinjaeLee-FuriosaAI-Ext/ai-research-berkeley-agentic-verification-harness-opt.ai-research-berkeley-agentic-verification-benchmarkInternal documentation
lmcache-agentic-traces_Otel
Agentic LLM Traces – OTel Format
Overview
Real-world agentic LLM sessions converted to OpenTelemetry (OTel) trace format, derived from sammshen/lmcache-agentic-traces. Each session is a multi-turn agent interaction involving tool calls (bash commands, file edits, web search, etc.), spanning 5–50 turns and totalling 24,880 spans.
Traces come from three agentic benchmarks: SWE-bench, GAIA, and WildClaw. They are formatted as OTel spans following gen_ai.* semantic… See the full description on the dataset page: https://huggingface.co/datasets/ibm-research/lmcache-agentic-traces_Otel.tool-reasoning-sft-RESEARCH-dr-tulu-sft-deep-research-agent-data-cleaned-rectified
Deep Research - Tulu SFT Data Cleaned Rectified
👥 Follow the Author
Supriti Vijay
Overview
This dataset is a cleaned and restructured version of the DR-TULU SFT dataset released by AllenAI's RL Research team. The original DR-TULU dataset represents significant work in creating high-quality training data for reasoning-enhanced language models with tool use capabilities. This version addresses structural issues in the original release while preserving… See the full description on the dataset page: https://huggingface.co/datasets/SupritiVijay/tool-reasoning-sft-RESEARCH-dr-tulu-sft-deep-research-agent-data-cleaned-rectified.agent-trajectories-swesmith-random-subset
Agent Trajectories: SWE-Smith Random Subset — Single Model
Summary
Full multi-turn agent trajectories collected from a random subset of SWE-Smith issues,
generated with a single model per trajectory (no branching or lookahead).
Contains a resolved column from SWE-bench evaluation.
Intended for SFT of agent models on diverse, synthetically generated coding tasks.
Data Collection
Each trajectory was produced by a mini-swe-agent run with an LLM router selecting… See the full description on the dataset page: https://huggingface.co/datasets/JetBrains-Research/agent-trajectories-swesmith-random-subset.tr-academic-research-agent-index
TürkResearcher — Türkçe Tez İndeksi
TürkResearcher
için önceden kurulmuş erişim artefaktları: 633.998 Türkçe yüksek lisans/
doktora tezi özeti (YÖK Ulusal Tez Merkezi).
İçerik
Yol
Ne
chroma_db_v2/
ChromaDB indeksi — trakad-embed-v2 ile kuruldu (ürün, ~13-15 GB)
memstore/vectors_uint8.npy
uint8 nicelenmiş vektörler (633K×768, ~464 MB) — harici DB'siz bellek-içi arama için
memstore/payload.parquet
minimal atıf meta verisi (tez_no, başlık, yazar, yıl…)… See the full description on the dataset page: https://huggingface.co/datasets/hakansabunis/tr-academic-research-agent-index.equity-research-agentic-eval
Equity Research Agentic Orchestration Eval
A 55-case evaluation set for benchmarking agentic orchestration frameworks
(LangGraph, CrewAI, Agno, AutoGen) on an 11-tool equity-research toolkit. Cases
are produced by tool-first synthetic generation followed by a multi-pass LLM
enrichment + adversarial-review pipeline, then deterministic validation.
This dataset provides ground-truth expected tool behaviour and judge-model
evaluation materials for each query — it does not depend on… See the full description on the dataset page: https://huggingface.co/datasets/sccaglayanworkacc/equity-research-agentic-eval.agent-traces-market-research
Agent Traces: market-research
Synthetic multi-agent workflow traces with LLM-enriched content for the market-research domain.
Part of the juliensimon/open-agent-traces collection — 10 datasets covering diverse domains and workflow patterns.
What is this dataset?
This dataset contains 1,671 events across 50 workflow runs, each representing a complete multi-agent execution trace. Every trace includes:
Agent reasoning — chain-of-thought for each agent step
LLM prompts and… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/agent-traces-market-research.Github-Agentic_Workflow-researchtwi-streaming-voice-agent-research
Streaming Twi Voice Agent: Research & Implementation Roadmap
Date: 2026-09-05Goal: Build a real-time, low-latency conversational voice agent for Twi (Akan) business use, with production-grade polish matching Cartesia, ElevenLabs, or Deepgram.
1. Executive Summary
Twi is a low-resource language for ASR. No dedicated large-scale dataset exists on par with English (LibriSpeech) or even some African languages (e.g., NaijaVoices for Igbo/Hausa/Yoruba). However, several… See the full description on the dataset page: https://huggingface.co/datasets/dicksonsarpong9/twi-streaming-voice-agent-research.Github-Agentic-Workflow-researchresearch-agents-drillsresearch-paper-agent-reasoning-traces-unverifiedredteaming_for_research_sandbaggingtranscripts_for_research_sandbagginghow-agentic-m1-research-data
How Agentic M1 Research Data
Training and validation data used for the M1-stage 500M-parameter
How Agentic research model.
Files
pretrain/m1_pretrain_5b_clean_train.jsonl.gz: cleaned pretraining split.
pretrain/m1_pretrain_5b_clean_val.jsonl.gz: pretraining validation split.
pretrain/m1_pretrain_5b_clean_report.json: corpus construction and quality report.
pretrain/m1_pretrain_5b_clean_rejected_sample.jsonl.gz: a small sample of rejected records for auditing.… See the full description on the dataset page: https://huggingface.co/datasets/jjyaoao/how-agentic-m1-research-data.deep-research-agent
Deep Research 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… See the full description on the dataset page: https://huggingface.co/datasets/DeepNLP/deep-research-agent.agent-memory-research-corpus
Agent Memory Research Corpus (AMRC)
A public, citable dataset for agent memory research and systems.
This dataset catalogues papers, systems, benchmarks, and design patterns related to long-term memory in autonomous agents. It is intended to serve as a canonical reference corpus for researchers and practitioners building memory-augmented agents.
Dataset Summary
Field
Value
Repository
https://huggingface.co/datasets/trentdoney/agent-memory-research-corpus… See the full description on the dataset page: https://huggingface.co/datasets/trentdoney/agent-memory-research-corpus.p2pclaw-agent-research-tools
Dataset: Agent Research Tools - Herramientas de Investigación Autonomous
Descripción General
Este dataset documenta el ecosistema completo de herramientas de investigación autonomous desarrollada por Francisco Angulo de Lafuente como parte del proyecto P2PCLAW. Estas herramientas permiten a agentes IA realizar investigación científica autónoma, publicar papers verificados, y evaluarse mutuamente.
Contenido del Dataset
1. Herramientas Principales… See the full description on the dataset page: https://huggingface.co/datasets/Agnuxo/p2pclaw-agent-research-tools.synth_docs_for_research_sandbaggingICLR_methodcompany_financial_research_agentICLR_contributionAdvance-deep-research-agent