datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cc-traces-weka-062126
semianalysisai/cc-traces-weka-062126
WekaTrace corpus derived from SemiAnalysis Claude Code proxy traces. Built 2026-06-21 17:48:24 UTC via utils/agentic/build_weka_hf_dataset.py.
Filters
Trace version: exactly v7
min Anthropic requests per session: 20
Claude Code CLI ≥ 2.1.139 (every row)
peak concurrent sub-agent groups ≤ 10
Non-image rows only (image content excluded at source)
Classifier calls excluded (max_tokens<=64 AND no tools → SUGGESTION MODE, title-gen… See the full description on the dataset page: https://huggingface.co/datasets/semianalysisai/cc-traces-weka-062126.cc-traces-weka-062126-256k
semianalysisai/cc-traces-weka-062126-256k
WekaTrace corpus derived from SemiAnalysis Claude Code proxy traces. Built 2026-06-21 17:49:45 UTC via utils/agentic/build_weka_hf_dataset.py.
Derived from semianalysisai/cc-traces-weka-062126 by applying the 256k per-request cap and preserving the surviving requests' relative timestamps.
Filters
Trace version: exactly v7
min Anthropic requests per session: 20
Claude Code CLI ≥ 2.1.139 (every row)
peak concurrent… See the full description on the dataset page: https://huggingface.co/datasets/semianalysisai/cc-traces-weka-062126-256k.Open-SWE-Traces
Open-SWE-Traces: Advancing Distillation for Software Engineering Agents
🚨 What's New
[09/26] Release v1.2: Added new agent trajectories generated by Qwen3.8-27B for
mini-swe-agent. Trajectories for OpenCode and Claude Code harnesses will be released soon.
[08/26] Release v1.1: Added new agent trajectories generated by DeepSeek-V4-Flash-0731 and
Qwen3.6-27B across OpenHands,
SWE-agent, and mini-swe-agent harnesses.
[06/21] Release v1.0: Released 207k agent… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Open-SWE-Traces.cot-eval-traces-2.0kernelbench-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.TraceSpatial-Trace
TraceSpatial-Trace
Project · Paper · Code
TraceSpatial-Trace is the RGB-and-QA tracing subset of TraceSpatial, introduced by the RoboTracer project. It supports learning to translate language instructions into spatial waypoints for object manipulation and robot end-effector motion.
This release contains 517,215 referenced RGB images and 3,623,880 question–answer pairs, extracted from 1,067,822 original conversation records across AgiBot, CA-1M, DROID, RoboTwin, and ScanNet. It… See the full description on the dataset page: https://huggingface.co/datasets/VCG-EAI/TraceSpatial-Trace.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.misc-merged-claude-code-traces-v1
MISC Unification of Public Claude Code Traces
A unified dataset of 32,133 deduplicated Claude API conversation traces focused on software engineering and code generation tasks. This dataset merges and normalizes traces from 10 different source datasets into a single, consistent format.
Dataset Description
This dataset contains real Claude API interaction traces capturing software engineering workflows including:
Code generation and modification
Bug fixing and debugging… See the full description on the dataset page: https://huggingface.co/datasets/nlile/misc-merged-claude-code-traces-v1.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.distillation-stream-traces
Distillation stream traces
Tool-call traces from open models working on agent benchmarks. The AI Alignment @ Illinois distillation stream records them to test whether a student model copies how its teacher acts with tools. Each run is one fresh attempt at one task.
Runs
Folder
Model
Tasks
Solved
Date
qwen3.8-27b/first-traces-v0
Qwen/Qwen3.8-27B, revision 1d4bf0f2
10 from SWE-bench Verified
9
2026-10-01
qwen3.8-27b/four-benchmarks-v0
Qwen/Qwen3.8-27B
2… See the full description on the dataset page: https://huggingface.co/datasets/Mithilss/distillation-stream-traces.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.Fable-GPT-5.5-Distillation-Traces
Agent Traces Curated 2026 (v3 Merged)
A unified distillation corpus of 9,057,143 records spanning agentic
coding traces, math/code/science reasoning, tool-use trajectories, and
preference data. 8,876,012 train + 181,131 eval, stratified by source.
What this is
This is the v3 merged corpus that supersedes both v1 and v2 of this dataset.
It combines five major source groups through a unified normalization
pipeline:
Original v2 RESMP-DEV (de-fragmented, re-deduped):… See the full description on the dataset page: https://huggingface.co/datasets/RESMP-DEV/Fable-GPT-5.5-Distillation-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.terminal-bench-traces-localkernelbench-cuda-tracesterminal-bench-2.1-qwen3.8-27b-traces
Terminal-Bench 2.1 traces: Qwen3.8-27B-GPTQ-4bit, xhigh / medium / low / off
Complete agent trajectories, verifier output, timing and token usage for all 89
Terminal-Bench 2.1 tasks run locally with
btbtyler09/Qwen3.8-27B-GPTQ-4bit
on 2× RTX 3090, plus the adaptive fallback reruns at lower reasoning effort.
Headline result: 62/89 (69.66%) at xhigh in a single clean pass.
Cumulative best-of across xhigh → medium → low → off fallbacks: 70/89 (78.65%).
The second number is not a… See the full description on the dataset page: https://huggingface.co/datasets/Lottolabs/terminal-bench-2.1-qwen3.8-27b-traces.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.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.