datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
agent-llm-traces-v2
Exgentic Agent LLM Traces v2 — Agent Chat Only
OpenTelemetry-shaped execution traces for 10,057 agent runs across 6 benchmarks (AppWorld, SWE-bench, BrowseCompPlus, τ²-bench Airline/Retail/Telecom), filtered to the agent under test's chat-only LLM calls. This is the dataset for replay testing, behavioral analysis, or any task where you care about what the benchmarked model actually did — not the eval scaffolding around it.
This v2 release expands upon Exgentic/agent-llm-traces… See the full description on the dataset page: https://huggingface.co/datasets/Exgentic/agent-llm-traces-v2.agent-traces
Trace Commons — Agent Traces
Trace Commons is one open, public dataset of coding-agent sessions — the
back-and-forth between a developer and an AI coding agent, including prompts,
model responses, tool calls, and command output — contributed voluntarily as an
open resource for studying, evaluating, and building on how these agents
actually work.
Every trace here was donated only from a public, open-source repository, was
anonymized on the contributor's own machine before upload… See the full description on the dataset page: https://huggingface.co/datasets/trace-commons/agent-traces.agent-llm-traces
Multi-Benchmark LLM Agent Traces
A comprehensive dataset of OpenTelemetry traces capturing LLM inference behavior across multiple agent frameworks, benchmarks, and model providers. This dataset enables research into LLM performance analysis, agent behavior patterns, and inference optimization.
Collected by Exgentic - A platform for LLM observability and performance optimization.
Dataset Overview
This dataset contains 1,781 execution traces capturing detailed agent… See the full description on the dataset page: https://huggingface.co/datasets/Exgentic/agent-llm-traces.ninja-agent-traces
Tau retired-king tasks and rollouts
This dataset is written by the Tau validator when a challenger becomes king.
tasks contains one viewer-friendly row per generated task.
rollouts contains one viewer-friendly row per terminal qualification or duel
solve and is the default table shown on the dataset page.
events contains one flattened row per redacted proxy-observed LLM call.
payloads contains complete solution diffs plus request and response bodies split
into bounded, ordered… See the full description on the dataset page: https://huggingface.co/datasets/Wejh/ninja-agent-traces.open-agent-traces
Open Agent Traces
17,019 LLM-enriched agent trace events across 500 workflow runs in 10 enterprise domains and 3 workflow patterns.
Generated with ocelgen (pip install open-agent-traces) and validated against the OCEL 2.0 standard, PM4Py, and 5 semantic validation layers.
from datasets import load_dataset
ds = load_dataset("juliensimon/open-agent-traces", "incident-response")
for event in ds["train"]:
if event["run_id"] == "run-0000":
print(f"{event['event_type']:25s}… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/open-agent-traces.agent-trace
AgentTrace
AgentTrace is an open dataset of tool-using language-model agent traces with execution telemetry. Each trace records model-generation steps, tool calls, wall-clock timing, OS-level resource usage, tool inputs and outputs, reasoning content, and reproducibility metadata.
The repository contains the dataset, collection code, analysis scripts, and the deterministic NL2Bash fixture needed to replay the local command-line tasks.
Links
GitHub:… See the full description on the dataset page: https://huggingface.co/datasets/pagarsky/agent-trace.agent-llm-traces
Multi-Benchmark LLM Agent Traces
A comprehensive dataset of OpenTelemetry traces capturing LLM inference behavior across multiple agent frameworks, benchmarks, and model providers. This dataset enables research into LLM performance analysis, agent behavior patterns, and inference optimization.
Collected by Exgentic - A platform for LLM observability and performance optimization.
Dataset Overview
This dataset contains 1,781 execution traces capturing detailed agent… See the full description on the dataset page: https://huggingface.co/datasets/DiscoPosse/agent-llm-traces.soc-agent-traces-100k
SOC-Agent-Traces-100K
Multi-step SOC investigation agent traces in session-trace format. Each
record is a complete investigation session: an alert arrives, an analyst agent
gathers evidence through nine read-only tools, and closes with a structured
JSON triage report.
Instead of single-turn alert → answer pairs, every record captures the full
reasoning trajectory:
alert → get_surrounding_events → get_process_tree → lookup_attack
→ search_sigma → get_asset_context →… See the full description on the dataset page: https://huggingface.co/datasets/alirezaaminzadeh/soc-agent-traces-100k.soc-agent-traces-10k
SOC-Agent-Traces-10K
Multi-step SOC investigation agent traces in session-trace format. Each
record is a complete investigation session: an alert arrives, an analyst agent
gathers evidence through nine read-only tools, and closes with a structured
JSON triage report.
Instead of single-turn alert → answer pairs, every record captures the full
reasoning trajectory:
alert → get_surrounding_events → get_process_tree → lookup_attack
→ search_sigma → get_asset_context →… See the full description on the dataset page: https://huggingface.co/datasets/alirezaaminzadeh/soc-agent-traces-10k.agent-traces
Agent Trace Dataset
Generated by build_hf_dataset.py. Each subset is one benchmark; rows are per-task trace records with score, trace, tool stats, and a link to the full trace files under trace_data/<benchmark>/<row_id>/.
betterwright-agent-traces
BetterWright Agent Traces
Full, untruncated agent trajectories recorded inside the BetterWright harness (v2.8.7, runAgentTask — the same loop behind betterwright exec) while two open models drove a real BetterChromium browser against the live web. Every row is one complete run: the harness system prompt and tool schemas, every model turn with its full reasoning, every browser tool call (JavaScript/Playwright-style snippets executed by the harness), every tool result exactly as… See the full description on the dataset page: https://huggingface.co/datasets/ProCreations/betterwright-agent-traces.agent-trace
AgentTrace
AgentTrace is an open dataset of tool-using language-model agent traces with execution telemetry. Each trace records model-generation steps, tool calls, wall-clock timing, OS-level resource usage, tool inputs and outputs, reasoning content, and reproducibility metadata.
The repository contains the dataset, collection code, analysis scripts, and the deterministic NL2Bash fixture needed to replay the local command-line tasks.
Links
GitHub:… See the full description on the dataset page: https://huggingface.co/datasets/tesraghavan/agent-trace.agent-traces-data-pipeline-debugging
Agent Traces: data-pipeline-debugging
Synthetic multi-agent workflow traces with LLM-enriched content for the data-pipeline-debugging domain.
Part of the juliensimon/open-agent-traces collection — 10 datasets covering diverse domains and workflow patterns.
What is this dataset?
This dataset contains 2,033 events across 50 workflow runs, each representing a complete multi-agent execution trace. Every trace includes:
Agent reasoning — chain-of-thought for each… See the full description on the dataset page: https://huggingface.co/datasets/tesraghavan/agent-traces-data-pipeline-debugging.agenttune-agent-ops-SFT-qwen3-0.6b-tracesagenttune-agent-ops-GRPO-tracesagent-traces-customer-support-triage
Agent Traces: customer-support-triage
Synthetic multi-agent workflow traces with LLM-enriched content for the customer-support-triage domain.
Part of the juliensimon/open-agent-traces collection — 10 datasets covering diverse domains and workflow patterns.
What is this dataset?
This dataset contains 1,483 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… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/agent-traces-customer-support-triage.agent-traces-data-pipeline-debugging
Agent Traces: data-pipeline-debugging
Synthetic multi-agent workflow traces with LLM-enriched content for the data-pipeline-debugging domain.
Part of the juliensimon/open-agent-traces collection — 10 datasets covering diverse domains and workflow patterns.
What is this dataset?
This dataset contains 2,033 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… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/agent-traces-data-pipeline-debugging.agent-trace
AgentTrace
AgentTrace is an open dataset of tool-using language-model agent traces with execution telemetry. Each trace records model-generation steps, tool calls, wall-clock timing, OS-level resource usage, tool inputs and outputs, reasoning content, and reproducibility metadata.
The repository contains the dataset, collection code, analysis scripts, and the deterministic NL2Bash fixture needed to replay the local command-line tasks.
Links
GitHub:… See the full description on the dataset page: https://huggingface.co/datasets/yasuo6/agent-trace.agent-trace-sentiment
Coding-Agent User Message Sentiment
User messages from every public format:agent-traces dataset on the Hugging Face Hub, classified as POSITIVE / NEUTRAL / NEGATIVE by a small open LLM, with a one-sentence reason for each label so you can audit any classification.
Accompanies the blog post "Your AI Coding Agent Has a Patience Cliff".
What's in here
Each row is one message from a developer to their coding agent (Claude Code, Pi, Codex, or variants).
Column
Type… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/agent-trace-sentiment.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.rrma-lean4-agent-traces
RRMA Lean 4 Agent Traces
416 multi-agent Lean 4 proof search traces across two Erdős problems, three model tiers, and four difficulty rungs.
v2 (2026-06-10) — label + format correction. The original upload had two defects:
(1) messages was a JSON string, not an array; (2) reward was set to 1.0 if the
text SCORE=1.0 appeared anywhere in the conversation — including the worker prompt
("repeat until SCORE=1.0") and file reads of the oracle script, so almost every trace was
labeled… See the full description on the dataset page: https://huggingface.co/datasets/vincentoh/rrma-lean4-agent-traces.agent-traces-legal-document-analysis
Agent Traces: legal-document-analysis
Synthetic multi-agent workflow traces with LLM-enriched content for the legal-document-analysis domain.
Part of the juliensimon/open-agent-traces collection — 10 datasets covering diverse domains and workflow patterns.
What is this dataset?
This dataset contains 1,498 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… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/agent-traces-legal-document-analysis.agent-traces-code-review-pipeline
Agent Traces: code-review-pipeline
Synthetic multi-agent workflow traces with LLM-enriched content for the code-review-pipeline domain.
Part of the juliensimon/open-agent-traces collection — 10 datasets covering diverse domains and workflow patterns.
What is this dataset?
This dataset contains 2,035 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… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/agent-traces-code-review-pipeline.computer-use-agent-traces-250k
Computer-Use Traces Dataset
250,000 real-world computer-use traces with screen states, browser sessions, UI actions, task instructions, and completion outcomes for training AI agents.
This repository contains the full technical specification, annotation schema, and sample metadata files (Parquet). The production dataset is rights-cleared and delivered directly to buyers. Request access to see the full schema and get a real sample package.
Overview
The… See the full description on the dataset page: https://huggingface.co/datasets/Datoric/computer-use-agent-traces-250k.agent-trace-user-messagesscientific-agent-protocol-traces
SciAgentTrace
Matched cross-domain dataset of scientific-agent protocols. The central
comparison contains the same 6,653 problems under two actor models and four
protocols: 53,224 trajectories in 40 complete model--benchmark--protocol
groups. The broader table-first package contains 68,892
trajectories. Begin with trajectories, outcomes, or matched_outcomes, then
follow stable identifiers to messages and compressed raw traces.
Repository:… See the full description on the dataset page: https://huggingface.co/datasets/AgentsSci/scientific-agent-protocol-traces.clingen-agent-traces