datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
claude-fable-5-claude-code
claude-fable-5 Agent Traces
It's worth noting that our team was working with Glint-Research to collect as much fable data as possible.
These are just the anonymized raw traces of both of our teams combined. This means that Glint-Research/Fable-5-traces was created from formatting and splitting up this same dataset. If you use one for your tune, don't use the other (it's the same exact data).
For training on this dataset I recommend using the teich package to convert to openai… See the full description on the dataset page: https://huggingface.co/datasets/armand0e/claude-fable-5-claude-code.gpt-5.5-agentThis dataset was generated using teich by TeichAI
Prepare these datasets for supervised fine-tuning in just a few lines of code — see the Conversion section below.
gpt 5.5 Agent Traces
This directory contains raw agent trace files generated by teich. (I also dropped in some of my own personal traces)
All assistant responses were generated by openai/gpt-5.5.
JSONL files: 88
Training-ready tools
A complete configured tools schema snapshot is embedded in the… See the full description on the dataset page: https://huggingface.co/datasets/armand0e/gpt-5.5-agent.gpn-star-p-uniform-v1-enhancer-arm-a
marin-dna/gpn-star-p-uniform-v1-enhancer-arm-a
Human-anchored 255 bp vertebrate sequences from the Zoonomia 447-mammal Cactus alignment and UCSC hg38 MultiZ 100-way alignment.
This draft covers the enhancer region cohort with all species scope and preserves source FASTA/2bit letter case.
Non-human rows project only the central human nucleotide and extract the 255 bp target window centered on its unique mapped locus.
Anchor eligibility uses calibrated entropy from the primate… See the full description on the dataset page: https://huggingface.co/datasets/marin-dna/gpn-star-p-uniform-v1-enhancer-arm-a.kimi-k2.6-claude-code-tracesThis dataset was generated using teich by TeichAI
Prepare these datasets for supervised fine-tuning in just a few lines of code — see the Conversion section below.
Kimi K2.6 Claude Code Traces
This directory contains raw agent trace files generated by teich.
All assistant responses were generated by moonshotai/kimi-k2.6.
JSONL files: 36
Format
Each file is newline-delimited JSON representing a single captured agent session.
The trace schema is designed for… See the full description on the dataset page: https://huggingface.co/datasets/armand0e/kimi-k2.6-claude-code-traces.qwen3.7-max-pi-tracesThis dataset was generated using teich by TeichAI
Prepare these datasets for supervised fine-tuning in just a few lines of code — see the Conversion section below.
Qwen3.7 Max Pi Traces
This directory contains raw agent trace files generated by teich.
All assistant responses were generated by qwen/qwen3.7-max.
JSONL files: 47
Training-ready tools
A complete configured tools schema snapshot is embedded in the collapsed section at the bottom of this README.
Use it… See the full description on the dataset page: https://huggingface.co/datasets/armand0e/qwen3.7-max-pi-traces.phylop-uniform-v1-enhancer-arm-a
marin-dna/phylop-uniform-v1-enhancer-arm-a
Human-anchored 255 bp vertebrate sequences from the Zoonomia 447-mammal Cactus alignment and UCSC hg38 MultiZ 100-way alignment.
This draft covers the enhancer region cohort with all species scope and preserves source FASTA/2bit letter case.
Non-human rows project only the central human nucleotide and extract the 255 bp target window centered on its unique mapped locus.
Anchor eligibility uses the pipeline's pinned phyloP conservation… See the full description on the dataset page: https://huggingface.co/datasets/marin-dna/phylop-uniform-v1-enhancer-arm-a.minimax-m3-claude-code-tracesThis dataset was generated using teich by TeichAI
Prepare these datasets for supervised fine-tuning in just a few lines of code — see the Conversion section below.
Minimax M3 Claude Code Traces
This directory contains raw agent trace files generated by teich.
All assistant responses were generated by minimax/minimax-m3.
JSONL files: 31
Format
Each file is newline-delimited JSON representing a single captured agent session.
The trace schema is designed for… See the full description on the dataset page: https://huggingface.co/datasets/armand0e/minimax-m3-claude-code-traces.test1_arman_20260829_141011This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
7
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_yaw.pos"… See the full description on the dataset page: https://huggingface.co/datasets/makermods/test1_arman_20260829_141011.teich-test-v1
hy3-preview coding agent traces
This directory contains raw agent trace files generated by teich.
All assistant responses were generated by tencent/hy3-preview:free.
Training-ready tools
Use this tools payload when rendering converted examples through your training chat template.
The same structure is emitted on each converted example as the tools field.
[
{
"type": "function",
"function": {
"name": "bash",
"description": "Execute bash… See the full description on the dataset page: https://huggingface.co/datasets/armand0e/teich-test-v1.minimax-m2.7-agent
Agentic Training Traces
This directory contains raw agent trace files generated by agentic-datagen.
All assistant responses were generated by minimax/minimax-m2.7.
Trace files: 20
Training-ready tools
Use this tools payload when rendering converted examples through your training chat template.
The same structure is emitted on each converted example as the tools field.
[
{
"type": "function",
"function": {
"name": "bash",
"parameters": {… See the full description on the dataset page: https://huggingface.co/datasets/armand0e/minimax-m2.7-agent.ipcc-testbadlogicgames-pi-mono-opus-filteredFiltered version of badlogicgames/pi-mono - Only opus traces, dropped invalid sessions as well.
All traces present are training safe and teich compatible
kimi-k2.6-agentThis dataset was generated using teich by TeichAI
Prepare these datasets for supervised fine-tuning in just a few lines of code — see the Conversion section below.
Kimi K2.6 Agent Traces
This directory contains raw agent trace files generated by teich.
All assistant responses were generated by moonshotai/kimi-k2.6.
JSONL files: 15
Training-ready tools
A complete configured tools schema snapshot is embedded in the collapsed section at the bottom of this README.… See the full description on the dataset page: https://huggingface.co/datasets/armand0e/kimi-k2.6-agent.armanual-dinner-table
armanual — bimanual SO-101 dinner-table demonstrations
Demonstrations for Bimanual VLA Manipulation with Multi-Modal Reasoning (Intel Physical AI
Online Challenge). Two simulated SO-101 arms set a dinner table in MuJoCo: placing plates, cups
and cutlery, opening a drawer to reach the cutlery, handing objects between arms, and pouring.
Code: https://github.com/pythonsniffer/armanual
What is in it
Episodes
114
Frames
22,206 (20 Hz)
Distinct… See the full description on the dataset page: https://huggingface.co/datasets/pythonsniffer/armanual-dinner-table.claude-opus-4.8-pi-tracesMore expensive than anticpated so you only get 4 lol :P
This dataset was generated using teich by TeichAI
Prepare these datasets for supervised fine-tuning in just a few lines of code — see the Conversion section below.
Claude Opus 4.8 Pi Traces
This directory contains raw agent trace files generated by teich.
All assistant responses were generated by anthropic/claude-opus-4.8.
JSONL files: 4
Training-ready tools
A complete configured tools schema snapshot is… See the full description on the dataset page: https://huggingface.co/datasets/armand0e/claude-opus-4.8-pi-traces.libero-spatial-latents-v2qwen3.7-plus-claude-codeThis dataset was generated using teich by TeichAI
Prepare these datasets for supervised fine-tuning in just a few lines of code — see the Conversion section below.
Qwen3.6 Plus Claude Code Traces
This directory contains raw agent trace files generated by teich.
All assistant responses were generated by qwen/qwen3.7-plus.
JSONL files: 7
Format
Each file is newline-delimited JSON representing a single captured agent session.
The trace schema is designed for… See the full description on the dataset page: https://huggingface.co/datasets/armand0e/qwen3.7-plus-claude-code.funes-armand0e-kimi-k2-6-claude-code-traces
Funes recall store — Kimi K2.6 Claude Code traces
A funes recall store built by indexing
armand0e/kimi-k2.6-claude-code-traces
(36 Claude Code-style coding-agent sessions generated with Kimi K2.6).
What this is
This is not a raw trace dataset — it is a pre-built funes index: the source
sessions chunked into content blocks and embedded, stored as a
Lance table (chunks.lance).
Source
armand0e/kimi-k2.6-claude-code-traces (36 sessions)
Chunks
10,348… See the full description on the dataset page: https://huggingface.co/datasets/dacorvo/funes-armand0e-kimi-k2-6-claude-code-traces.libero_allsuites_preencodedhermes-testThis dataset was generated using teich by TeichAI
Prepare these datasets for supervised fine-tuning in just a few lines of code — see the Conversion section below.
My Agent Traces
This directory contains raw agent trace files generated by teich.
All assistant responses were generated by nex-agi/nex-n2-pro:free.
Sessions: 2
Training-ready tools
Generated agent traces carry configured or recovered tool schemas so tools remain available for training even when a… See the full description on the dataset page: https://huggingface.co/datasets/armand0e/hermes-test.funes-armand0e-minimax-m3-claude-code-traces
Funes recall store — armand0e MiniMax M3 Claude Code traces
A funes recall store built by indexing
armand0e/minimax-m3-claude-code-traces
(31 Claude Code sessions run on MiniMax M3).
What this is
This is not a raw trace dataset — it is a pre-built funes index: the source
sessions chunked into content blocks and embedded, stored as a
Lance table (chunks.lance).
Source
armand0e/minimax-m3-claude-code-traces (31 sessions)
Chunks
6,729 (4 rows with… See the full description on the dataset page: https://huggingface.co/datasets/dacorvo/funes-armand0e-minimax-m3-claude-code-traces.arm-agedon-top-v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 52,
"total_frames": 18198,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:52"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/bdemada/arm-agedon-top-v2.gen9-random-doubles-replays
Gen 9 Random Doubles replays
Every gen9randomdoublesbattle replay Pokemon Showdown still lists, plus the
ones it has since delisted, deduplicated on replay id.
229,171 battles, 2023-06-26 to 2026-08-26. 73.2% carry a rating: 61,673 at
1400 or better, 43,756 at 1500, 27,728 at 1600, 14,506 at 1700, 5,555 at 1800.
Why this exists
Neither available source is complete on its own.
HolidayOugi/pokemon-showdown-replays
holds 203,654 distinct battles for this format and… See the full description on the dataset page: https://huggingface.co/datasets/armaanp/gen9-random-doubles-replays.JobCCC-Conversational-Job-Recommendation-Bangladesh
JobCCC: A Conversational Code-Mixed Corpus for Job Recommendation in Bangladesh
Dataset Creators
Authors: Md. Arman Hossain, Mubashir Jawad, Fariha Khandakar Moon, and Sonia Binte Siraj
Supervisor: Dr. Nafis Sadeq
Institution: Department of Computer Science & Engineering, East West University
Dataset Summary
JobCCC (Conversational Code-Mixed Corpus) is a multi-turn conversational benchmark and job recommendation dataset tailored for the… See the full description on the dataset page: https://huggingface.co/datasets/Armans33115/JobCCC-Conversational-Job-Recommendation-Bangladesh.so101_terminal_sortThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/armandomm09/so101_terminal_sort.so101_terminal_sort_extThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/armandomm09/so101_terminal_sort_ext.wwii-naval-armament
WWII Naval Armament & Treaty Data
Structured tables extracted from Fleets of World War II: Design History and
Analysis (Nimble Books, ISBN 9781608881604). Three queryable tables plus the full
set of 35 extracted source tables.
table
rows
what
naval_guns
93
gun armament specs — caliber, shell weight, range, ceiling, fire control, ship class
torpedoes
42
torpedo specs — type, explosive weight, range/speed
treaty_tonnage
19
interwar naval-treaty tonnage allocations… See the full description on the dataset page: https://huggingface.co/datasets/wfzimmerman/wwii-naval-armament.libero_spatial_preencodedarm-agedonThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 20,
"total_frames": 6718,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/bdemada/arm-agedon.libero10_preencoded