datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
hermes-agent-traces-filtered
Hermes Agent Reasoning Traces - Quality Filtered
A structurally filtered subset of lambda/hermes-agent-reasoning-traces, pruned from 7,646 to 3,679 rows using automated quality analysis targeting reasoning depth, structural integrity, and tool-call validity.
Why This Matters for Agent Training
Most agentic datasets teach models what tool to call but not how to reason about tool selection. The difference matters in production: an agent that dispatches tools without… See the full description on the dataset page: https://huggingface.co/datasets/DJLougen/hermes-agent-traces-filtered.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.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.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.agent_traces
pi-mono Unsloth SFT Dataset
Derived from badlogicgames/pi-mono.
This dataset converts pi coding-agent session traces into one supervised row per
assistant turn. Each row keeps the prior multi-turn agent state in the prompt and
uses only the next assistant message/action as the target.
Format:
{"instruction":"serialized system + user/tool/assistant context before this turn","output":"next assistant message or tool call"}
For Unsloth Studio, choose the Alpaca / instruction-output… See the full description on the dataset page: https://huggingface.co/datasets/valoomba/agent_traces.hermes-agent-traces-filtered
Hermes Agent Reasoning Traces - Quality Filtered
A structurally filtered subset of lambda/hermes-agent-reasoning-traces, pruned from 7,646 to 3,679 rows using automated quality analysis targeting reasoning depth, structural integrity, and tool-call validity.
Why This Matters for Agent Training
Most agentic datasets teach models what tool to call but not how to reason about tool selection. The difference matters in production: an agent that dispatches tools without… See the full description on the dataset page: https://huggingface.co/datasets/ansulev/hermes-agent-traces-filtered.weave-agent-traces-2025-11-05This dataset is 200 megabytes (30mb gzip compressed) of agent trace data from the weave-agent project.
It consists of long context python code agent traces which demonstrate a series of ReAct blocks attempting to complete a task the agent is prompted with.
Some sample traces you can view on my website:
First Working Weave-Agent TraceAgent Trace: Weave Agent At The Edge Of Sanity Trying To Check Wikipedia CitationsAgent Trace: Weave Agent Attempts To Decrypt The Vigenere CipherAgent Trace: A… See the full description on the dataset page: https://huggingface.co/datasets/jdpressman/weave-agent-traces-2025-11-05.hermes-agent-reasoning-traces
Hermes Agent Reasoning Traces
Structured fine-tuning dataset extracted from Hermes Agent execution logs and skill files.
Examples: 688
Skill examples: 688
Session examples: 0
Source: Hermes Agent (Nous Research)
Generated: 2026-08-16
Format
Each line is a JSON object with:
instruction: The user request or skill creation prompt
response: The agent's response or skill body
source: Origin (skill file or session ID)
category: Type (skill_creation or conversation)… See the full description on the dataset page: https://huggingface.co/datasets/zombierotten/hermes-agent-reasoning-traces.Simple-agent-traces
📱 Simple Agent Traces – Tiny Tool‑Calling Conversations for Small Models
Simple Agent Traces is a compact, hand‑picked dataset of 605 real‑world tool‑calling conversations, each carefully truncated to ≤8,192 tokens (using the SmolLM2‑360M tokenizer).It is purpose‑built for training and fine‑tuning tiny language models (≤500M) that must run on‑device – smartphones, edge devices, or any environment with strict memory and latency constraints.
🧹 No chain‑of‑thought, no fluff.Every… See the full description on the dataset page: https://huggingface.co/datasets/LiteMind/Simple-agent-traces.agent-omission-traces
Omission Detection — Cross-Family Agent Traces
120 tool-using agent traces produced by five open model families answering the
same law and medicine tasks, so that omission behavior can be compared across
model families on identical inputs. Each trace records the tool outputs the
orchestrator was given and the answer it wrote — the raw material for measuring how
much an agent silently omits.
These traces back the cross-family prevalence study in the Lacuna/Rubric line
(no family… See the full description on the dataset page: https://huggingface.co/datasets/Santhiyarajan/agent-omission-traces.agenda-parser-models-example-agent-traces
Agenda Parser — fine-tuned agent models
Three Gemma 4 models fine-tuned to drive the Agenda Parser's ReAct agent: at each step
the model emits a single JSON action {"thought","tool","args"} over two toolkits —
meeting-agenda packets and Michigan local-government law (Open Meetings Act, FOIA,
the Michigan Compiled Laws via Cornell LII). This card doubles as the project write-up; the
dataset itself (bottom) is a gallery of example traces from the three models.
tier
base… See the full description on the dataset page: https://huggingface.co/datasets/build-small-hackathon/agenda-parser-models-example-agent-traces.afterlight-agent-trace
Afterlight Agent Trace
This dataset publishes a representative successful agent trace from
Afterlight: The Last Signal.
The trace records the responsibilities, validation boundaries, selected models,
fallback state, and final structured result for one generated sector.
Architecture
nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16 plans a route using only supplied,
curated astrophysical concept IDs.
openbmb/MiniCPM5-1B writes names, mission language, and a fictional… See the full description on the dataset page: https://huggingface.co/datasets/KrishnaGarg/afterlight-agent-trace.mirror-hermes-agent-traces-filtered
Hermes Agent Reasoning Traces - Quality Filtered
A structurally filtered subset of lambda/hermes-agent-reasoning-traces, pruned from 7,646 to 3,679 rows using automated quality analysis targeting reasoning depth, structural integrity, and tool-call validity.
Why This Matters for Agent Training
Most agentic datasets teach models what tool to call but not how to reason about tool selection. The difference matters in production: an agent that dispatches tools without… See the full description on the dataset page: https://huggingface.co/datasets/alucent/mirror-hermes-agent-traces-filtered.