datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
kernelbench-mega-traces
KernelBench-Mega agent traces
Coding agents writing full GPU megakernels across Blackwell / H100 / B200, scored as speedup over reference; contamination-audited (23 verified cells).
Each .jsonl file is one agent run in Claude-Code session format, viewable with the agent trace viewer. Filename = run id; manifest.csv maps each run to model / harness / problem / GPU / score.
23 agent traces · live leaderboard: https://kernelbench.com/mega
Secrets redacted. Full reasoning for… See the full description on the dataset page: https://huggingface.co/datasets/Infatoshi/kernelbench-mega-traces.kernelbench-hard-traces
KernelBench-Hard agent traces
Frontier coding agents writing optimized CUDA/Triton kernels (FP8 GEMM, paged
attention, MoE, W4A16, KDA, Top-k) on RTX PRO 6000 Blackwell, H100 PCIe, and
B200; roofline-graded.
Each .jsonl file is one agent run in Claude-Code session format, viewable with
the Hugging Face Agent Trace viewer (Data Studio → open a row). Filename =
run id.
Live leaderboard: https://kernelbench.com/hard
Secrets redacted. Full reasoning for open-provider routes… See the full description on the dataset page: https://huggingface.co/datasets/Infatoshi/kernelbench-hard-traces.aime_1983_2023_deepseek-r1_traces_16384SWEeper-Bench-traces
🧹 SWEeper-Bench agent traces
Paper · Blog · Code · Benchmark
This dataset has every run behind the SWEeper-Bench paper: 5,200 runs from 42 agent configurations. For each run you get the prompt the coding agent saw, its full trajectory, the shell commands it ran against the app, its patch, and the browser verifier's trajectories and verdicts.
Main results
All 15 agents ran on the 200 tasks with the open-ended prompt and the browser prompt template. A task… See the full description on the dataset page: https://huggingface.co/datasets/zlab-princeton/SWEeper-Bench-traces.sweeperbench-traces
Sweeperbench run database
runs.csv is the append-only raw table. Each row describes one prediction, core evaluation, or preservation evaluation. schema.json documents the fields.
Primary key: run_id (UUID). Each top-level UUID directory is exactly that run, with matching metadata.json, artifact manifest, prompts, traces, verdicts and any collected recordings.
Relationships: experiment_id groups a launch; evaluations reference the exact prediction_run_id. Model, harness… See the full description on the dataset page: https://huggingface.co/datasets/tonychenxyz/sweeperbench-traces.vllm-traces-v2NatureBench-traces
NatureBench-traces
NatureBench-traces contains the full solving process
of coding agents on the 90 tasks of NatureBench.
The task packages themselves (task brief, data, evaluator, SOTA
scores) live in the sibling repository FrontisAI/NatureBench.
Harbor-compatible task packages are available in
FrontisAI/NatureBench-Harbor.
The traces released here were collected with NatureBench's native task format, not from the Harbor tasks.
This repository releases only the process traces:… See the full description on the dataset page: https://huggingface.co/datasets/FrontisAI/NatureBench-traces.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.optiq-lab-traces
OptiQ Lab Traces
Research and tool-calling sessions produced by OptiQ Lab, the local web UI that ships with mlx-optiq. Each session is a complete run: a deep-research report built from live web sources, or a multi-turn agent loop driving the Lab's own sandboxed tools.
The dataset is 866 sessions in HuggingFace Session-Traces format (the agent-traces viewer). Each .jsonl file is one session: a header line carrying the run's metadata, then one message per turn.
The two… See the full description on the dataset page: https://huggingface.co/datasets/mlx-community/optiq-lab-traces.aime_1983_2023_qwq-32b_traces_16384trustworthy-biology-agents-traces
Trustworthy Biology Agents — Run Traces
Raw execution traces from 1,329 agent runs across three coding agents on three
biology benchmarks — BiomniBench-DA, BixBench, and CompBioBench. This is the scrubbed
trace bundle for the study in
manu-tej/ai-scientists; the write-up
lives in that repo's RESULTS.md.
The motivating question is not only whether an agent reaches the right answer, but
whether it behaves like a trustworthy analyst when the task is ambiguous,
under-specified, or… See the full description on the dataset page: https://huggingface.co/datasets/amanutej/trustworthy-biology-agents-traces.lmcache-agentic-traces
LMCache Agentic Dataset Collection
A curated dataset collection of 787 multi-turn agentic LLM sessions (24,881 total LLM iterations) designed for benchmarking stateful LLM serving systems. Every session exhibits at least 5 turns with prefix growth and builds to at least 10K tokens of context — making it ideal for evaluating tiered KV Cache solutions like LMCache.
Motivation
Modern LLM agents (coding assistants, research agents, tool-calling systems) make dozens of… See the full description on the dataset page: https://huggingface.co/datasets/sammshen/lmcache-agentic-traces.mimo-claude-code-traces-1k
MIMO Claude Code Traces
MIMO Claude Code Traces is a collection of coding-agent trajectories in a Claude Code-style environment. Each record contains a user coding task, the full multi-turn message trace, available tool schemas, assistant reasoning fields, tool calls, tool outputs, and metadata such as model name, category, duration, cost, token usage, and whether the trace used tools.
The traces were generated with mimo-v2.5-pro, MiMo's most capable model at the time of… See the full description on the dataset page: https://huggingface.co/datasets/choucsan/mimo-claude-code-traces-1k.kernelbench-cuda-tracesagent-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.fable-5-coding-and-debugging-traces
Claude Fable 5 Agent Traces
2,380 TRAJECTORIES · 12,490 TRAINING ROWS · 14 MB PARQUET · 663 MB JSONL
Generated by moonshiner — an open harness for
distilling verified instruction-following, tool-use, and agentic coding traces.
Behavior-preserving instruction-following, tool-use, and agent trajectories
from Claude Fable 5 (anthropic/claude-fable-5). The category and row-share tables
below describe the actual mix seen during training rather than assuming a
particular task… See the full description on the dataset page: https://huggingface.co/datasets/DSFFGFG456/fable-5-coding-and-debugging-traces.Fable-5-traces
Glint Research Dataset Card
Fable 5 Pi Agent Traces
A compact, high-signal corpus of Fable 5 coding-agent traces converted into Hugging Face Agent Traces / Pi-compatible sessions for Data Studio inspection, tool-use policy learning, and reasoning/action distillation.
Primary Config
pi_agent/train
Agent Trace preview enabled
4,665 Pi trace sessions
60 source sessions
3,799 tool… See the full description on the dataset page: https://huggingface.co/datasets/PRATHAM4567/Fable-5-traces.kimi-k3-coding-and-debugging-traces
Kimi K3 Coding, Tool Use & Instruction Following Traces
582 TRAJECTORIES · 3,956 TRAINING ROWS · 3 MB PARQUET · 72 MB JSONL
Generated by moonshiner — an open harness for
distilling verified instruction-following, tool-use, and agentic coding traces.
Behavior-preserving instruction-following, tool-use, and agent trajectories
from Kimi K3 (moonshotai/kimi-k3). The category and row-share tables
below describe the actual mix seen during training rather than assuming a… See the full description on the dataset page: https://huggingface.co/datasets/greghavens/kimi-k3-coding-and-debugging-traces.climate-traceComplete-FABLE.5-traces-2M
license: mit
pretty_name: Claude Library — Fable 5 · Opus · Sonnet
annotations_creators:
machine-generated
language:
en
language_creators:
found
machine-generated
multilinguality:
monolingual
size_categories:
10K<n<100K
task_categories:
text-generation
task_ids:
language-modeling
tags:
agent-traces
claude
claude-fable-5
claude-opus
claude-sonnet
chain-of-thought
tool-use
coding-agents
content-verified
maintained-mirror
deduplicated
parquet
configs:
config_name:… See the full description on the dataset page: https://huggingface.co/datasets/Crownelius/Complete-FABLE.5-traces-2M.arc-agi-3-schema-traces
ARC-AGI-3 Schema Gameplay Trajectories
This release contains 50 ARC-AGI-3 gameplay trajectories and a dependency-free
scoring utility. The trajectories are split evenly across two collections:
gpt_5_6_sol/: 25 GPT-5.6 Sol trajectories.
claude_fable_opus/: 25 trajectories from Claude Opus 4.8 and Claude Fable 5.
Each trajectory directory includes run.json, a streamed events.jsonl event
log, sanitized session data, snapshots, and the shareable text/image files
produced during… See the full description on the dataset page: https://huggingface.co/datasets/schema-harness/arc-agi-3-schema-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.evalsafe-agent-trace-observability
Agent trace triage
Snapshot: 2026-09-28. 111 cases and 1,124 question instances.
Default reference: consensus. Labels are model-generated references.
Data
Load configuration cases, questions, or run_results; all have a test split.
cases: one row per case_id, with the complete input in input_json, descriptive
metadata_json, and openai, anthropic, and consensus labelsets. Decisions are grouped
by policy_id and contain status, actions, and primary_action.
questions:… See the full description on the dataset page: https://huggingface.co/datasets/typesafe/evalsafe-agent-trace-observability.Tracebench
Tracebench
This dataset contains agent trajectories (TerminalBench + SWE-bench) with two splits:
full: 3316 trajectories (2670 terminal + 646 SWE-bench)
verified: 1000 trajectories (489 SWE-bench + 511 terminal; terminal selected by step_count>=20, has incorrect steps, error-stage ratio threshold)
Agents: mini-SWE-agent (1024), OpenHands (1242), Terminus2 (923), SWE-agent (127).
Models: Anthropic/Claude-Sonnet-4, DeepSeek/DeepSeek-V3.2, Moonshot/Kimi-K2, OpenAI/GPT-5… See the full description on the dataset page: https://huggingface.co/datasets/Contextbench/Tracebench.aime_1983_2023_qwq-32b_tracesswe-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.aime_1983_2023_deepseek-r1-distill-qwen-14b_traces_32768GPT-5.6-Sol-Luna-Terra-Traces
GPT-5.6 — Sol · Terra · Luna Library
A maintained mirror of every GPT-5.6 Sol / Terra / Luna dataset on Hugging Face — content-verified, attributed, in one place.
Dataset Viewer | Parquet
// what this is
This is a maintained library — a community mirror of every publicly-available GPT-5.6 Sol / Terra / Luna dataset on Hugging Face, aggregated, validity-filtered, and content-verified with per-row source attribution. It is not Crownelius' own data. Every row… See the full description on the dataset page: https://huggingface.co/datasets/Crownelius/GPT-5.6-Sol-Luna-Terra-Traces.aime_1983_2023_deepseek-r1_traces_32768freeinference_agentic_trace
FreeInference Agentic Trace
This dataset contains 16 weeks (2026-05-17 to 2026-09-05) of coding and assistant agents interacting with LLMs through the FreeInference gateway: 12,002 agent sessions from 267 accounts and 14 agent harnesses, with 1,186,582 LLM requests and 1,213,347 tool calls.
The dataset accompanies the paper From Requests to Sessions: A Large-Scale Characterization of Human-Driven Agentic Workloads. The code that reads it, replays its prefix cache and reproduces… See the full description on the dataset page: https://huggingface.co/datasets/harvardMadsys/freeinference_agentic_trace.