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.mcphunt-agent-traces
MCPHunt Agent Traces
Agent execution traces from the MCPHunt evaluation framework, measuring
cross-boundary data propagation in multi-server MCP agents.
Contents
main/ — 3,615 traces from 5 models across 147 tasks and 7 environment
variants (risky_v1/v2/v3, benign, hard_neg_v1/v2/v3). One JSON file per model.
mitigation/ — 2,706 traces from the prompt-mitigation study (M0--M3
levels) across 3 models.
live_guard_defense/ — 387 DeepSeek-V4-Flash traces from the… See the full description on the dataset page: https://huggingface.co/datasets/lihaonan0716/mcphunt-agent-traces.conda-forge-agent-tracesvideo_agent_trace
Friday prompt delivery — 30K text-only corpus
本目录是可直接消费的 prompt 交付包；所有内容均来自已完成的 Friday GPT 文本生产，不包含视频，也不表示 H3/视频评测通过。
文件
文件
内容
top_historical_test_prompts_4of5.jsonl
第一轮多轮历史实验中全局最高接受率的两条 test prompt（各 4/5）。
family_champion_test_prompts.jsonl
四个家族各自采用的 champion test prompt；包含 4/5、4/5、3/5、3/5 的历史结果与选择理由。
base_prompts_1200.jsonl
1,200 条干净 base prompt，每条有稳定 base_id。
injection_prompts_30000.jsonl
30,000 条最终 injection prompt；prompt 是可直接读取的 prompt… See the full description on the dataset page: https://huggingface.co/datasets/ppppppz/video_agent_trace.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.swe-bench-lite-agent-traces-v14
AgentBRANE SWE-bench Lite Agent Traces v14
This release contains the 1,890 harness-native agent traces selected by the sealed SWE-bench Lite v14 publication record (1,379/1,890 resolved, 73.0%). It includes Claude Code, Codex, and Pi sessions across seven models and three replicates. No internal research notes are included.
Load the observation table:
from datasets import load_dataset
traces = load_dataset("melissapan/swe-bench-lite-agent-traces-v14", split="train")
Each row… See the full description on the dataset page: https://huggingface.co/datasets/melissapan/swe-bench-lite-agent-traces-v14.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.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.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.hermes-agent-trace-samples-2026-06-05
Hermes Agent Raw Session Samples
Five public-safe raw Hermes Agent session exports generated on 2026-06-05 with the Hermes CLI using Hugging Face Inference Providers.
Each file in sessions/ is the exact single-session output from:
hermes sessions export sessions/<session_id>.jsonl --session-id <session_id>
No derived tables, flattened rows, SQLite database, or formatted JSON copies are included.
agent-traces-flashmaniaswival.dev agent traces for single-shot "Reimplement trackmania" prompt using Gemini-3.5-flash.
Generated code: https://github.com/dip-proto/flashmania
pi-agent-traces-sft
pi-agent-traces-sft
Merged supervised-fine-tuning dataset of coding-agent session traces (the "pi"
harness format), converted to conversational format for Unsloth SFT of Qwen3-family
models.
Files
pi_sft_qwen3_24k.jsonl — recommended training file. Every session fits in
24,576 tokens (Qwen3 tokenizer). 5,717 sessions, max length 24,564 tokens.
pi_sft_qwen3.jsonl — full unfiltered set (6,929 sessions, up to ~632k tokens).
Sources (merged)… See the full description on the dataset page: https://huggingface.co/datasets/vojtavlas2/pi-agent-traces-sft.mcphunt-agent-traces
MCPHunt Agent Traces
Agent execution traces from the MCPHunt evaluation framework, measuring
cross-boundary data propagation in multi-server MCP agents.
Contents
main/ — 3,615 traces from 5 models across 147 tasks and 7 environment
variants (risky_v1/v2/v3, benign, hard_neg_v1/v2/v3). One JSON file per model.
mitigation/ — 2,706 traces from the prompt-mitigation study (M0--M3
levels) across 3 models.
live_guard_defense/ — 387 DeepSeek-V4-Flash traces from the… See the full description on the dataset page: https://huggingface.co/datasets/mcphunt-benchmark/mcphunt-agent-traces.agent-spaces-tracesagent-race-traces
Agent Race Traces
Coding-agent session traces from running the same task and the same one-line prompt through multiple harnesses and driver models. Useful for comparing how different agent harnesses + models approach an identical real-world ML task.
Blog post: danielvanstrien.xyz/posts/2026/agent-race
The task
Fine-tune a model on biglam/on_the_books to identify Jim Crow laws, train via HF Jobs, push the trained model to the Hub.
The exact one-line prompt was… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/agent-race-traces.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.tutordesk-agent-traces
TutorDesk AI — Agent Traces
Sharing is Caring badge dataset for the HuggingFace Build Small Hackathon 2026.
Contents
build_sessions/ — Claude Code Build Sessions (native trace viewer)
7 raw Claude Code (Sonnet 4.6) JSONL sessions covering the full build of
TutorDesk AI — from blank repo through Phase 6 completion. Natively rendered by
HF Data Studio's agent trace viewer.
Sessions cover: repo scaffolding, Modal serving architecture, 5-agent pipeline… See the full description on the dataset page: https://huggingface.co/datasets/naazimsnh02/tutordesk-agent-traces.agent-traces-exampleagent-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>/.
job-search-assistant-agent-tracesoc-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.agent-tracesagent-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.add-sam-3-lite-text-agent-traces
add_sam_3_lite_text agent traces
Raw Codex Desktop session traces related to work on the add_sam_3_lite_text branch in NielsRogge/transformers.
These JSONL files are uploaded from ~/.codex/sessions, following the Hugging Face agent trace viewer guidance:
https://huggingface.co/changelog/agent-trace-viewer
Before publication, the files were scanned with TruffleHog and additionally scrubbed for plaintext token-shaped secrets. Encrypted reasoning payloads were left untouched.… See the full description on the dataset page: https://huggingface.co/datasets/nielsr/add-sam-3-lite-text-agent-traces.repro-learning-to-share-selective-memory-for-efficient-parallel-agentic-systems-traces
Agent traces
Agent sessions published from a Trackio Logbook.
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.agenttune-agent-ops-SFT-qwen3-0.6b-traces