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.armnet-demo-leaderboardphylop-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.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.arm1-eval-rollouts
arm1 eval rollouts
Eval rollouts (32 samples/problem) for ReasoningRegisters/arm1.
Split folders named step{k}_{benchmark}[_variant]; JSONL per shard: prompt, generation, correctness.
badlogicgames-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.arm3-eval-rollouts
arm3 eval rollouts
Eval rollouts (32 samples/problem) for ReasoningRegisters/arm3.
Split folders named step{k}_{benchmark}[_variant]; JSONL per shard: prompt, generation, correctness.
fpabl1-arm-b-fp-tokens-48k
fpabl1-arm-b-fp-tokens-48k
Pre-tokenized bins for the FinePhrase vs FineWeb ablation (fpabl1), arm fpabl1-b-fp.
Tokenizer: runs/mixed-tokenizer-48k/tokenizer (byte-BPE, 48k vocab; special ids bos=49119, eos=49120, pad=49121).
Format: uint16 little-endian, 50 shards x 100,000,000 tokens = 5,000,000,000 tokens total.
Boundary policy: source streams are already BOS/document/EOS packed; arm scheduler interleaves token chunks
Source token composition:
fp_en: 1,000,000,000
fp_ita:… See the full description on the dataset page: https://huggingface.co/datasets/procmarco/fpabl1-arm-b-fp-tokens-48k.arm2-eval-rollouts
arm2 eval rollouts
Eval rollouts (32 samples/problem) for ReasoningRegisters/arm2.
Split folders named step{k}_{benchmark}[_variant]; JSONL per shard: prompt, generation, correctness.
arm4-eval-rollouts
arm4 eval rollouts
Eval rollouts (32 samples/problem) for ReasoningRegisters/arm4.
Split folders named step{k}_{benchmark}[_variant]; JSONL per shard: prompt, generation, correctness.
qwen3.7-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.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.hermes-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.RLHFlow__ArmoRM-Llama3-8B-v0.1-details
Dataset Card for Evaluation run of RLHFlow/ArmoRM-Llama3-8B-v0.1
Dataset automatically created during the evaluation run of model RLHFlow/ArmoRM-Llama3-8B-v0.1
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/RLHFlow__ArmoRM-Llama3-8B-v0.1-details.fpabl1-arm-a-web-tokens-48k
fpabl1-arm-a-web-tokens-48k
Pre-tokenized bins for the FinePhrase vs FineWeb ablation (fpabl1), arm fpabl1-a-web.
Tokenizer: runs/mixed-tokenizer-48k/tokenizer (byte-BPE, 48k vocab; special ids bos=49119, eos=49120, pad=49121).
Format: uint16 little-endian, 50 shards x 100,000,000 tokens = 5,000,000,000 tokens total.
Boundary policy: source streams are already BOS/document/EOS packed; arm scheduler interleaves token chunks
Source token composition:
fw2_ita: 2,000,000,000… See the full description on the dataset page: https://huggingface.co/datasets/procmarco/fpabl1-arm-a-web-tokens-48k.uf-ArmoRM-Llama3-8B-v0.1Relabled UltraFeedback dataset by ArmoRM-Llama3-8B-v0.1.
Magpie_coding_sfairXC_ArmoRM_top5_reward_differencerobot_arm_6dof.jsonwildchat_armormIntel_orca_dpo_pairs-ArmoRM-ReRanked-PreferenceShareGPT