datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
DeepSeek-v4-Pro-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.
DeepSeek v4 Pro Agent Traces
This directory contains raw agent trace files generated by teich.
All assistant responses were generated by deepseek/deepseek-v4-pro.
JSONL files: 4006
Training-ready tools
A complete configured tools schema snapshot is embedded in the collapsed section at the bottom of… See the full description on the dataset page: https://huggingface.co/datasets/ronaldcmz/DeepSeek-v4-Pro-Agent.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/ronaldcmz/claude-fable-5-claude-code.data-ai-slop-detectorGAG
GAG Datasets
This directory contains the dataset files used by GAG for:
materials-domain training and evaluation,
adjuvant-domain training and evaluation, and
mixed-domain routing experiments with PPR (Prototype-based Plug-and-play Routing).
All dataset files are stored in JSONL format, with one sample per line.
Directory Layout
datasets/
materials_domain/
material_domain_knowledge_base_cleaned.jsonl
RSC_3661_refined_train.jsonl
RSC_646_refined_dev.jsonl… See the full description on the dataset page: https://huggingface.co/datasets/rongjili/GAG.ronin_trainMcAuleyLabsAmazonReviewImageEmbeddings_ViTronin_test