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/TeichAI/DeepSeek-v4-Pro-Agent.Ox-Alpha-Pi-TracesThis dataset was generated using teich by TeichAI
Ox-Alpha Pi Agent Coding Traces
This directory contains raw agent trace files generated by teich.
JSONL files: 2247
Model metadata: stealth/ox-alpha
Domains and prompt distribution
Topic
Traces
Games & simulation (headless)
196
Frontend & Node-testable web
159
Health & medicine informatics
139
ML & scientific computing (CPU)
123
Data analysis & reporting
122
Computational biology & chemistry… See the full description on the dataset page: https://huggingface.co/datasets/TeichAI/Ox-Alpha-Pi-Traces.Ox-Alpha-10k
Ox Alpha - 10k
10,005 single-turn prompts for text-response teacher generation
Each row carries id, category, subcategory
All data was gathered using stealth/ox-alpha via OpenRouter (reasoning effort high)
Topic distribution
Category
Rows
Share
Coding (incl. Go/Rust, C++/Java/C#, shell/CLI)
944
9.5%
Knowledge QA
891
9.0%
Logical reasoning & decisions
734
7.4%
Web development
720
7.2%
Game development
720
7.2%
Three.js / browser 3D
620
6.2%… See the full description on the dataset page: https://huggingface.co/datasets/TeichAI/Ox-Alpha-10k.TeichAI-thinking-reasoning-x
TeichAI Thinking & Reasoning Datasets
A collection of prompts answered by large language models (LLMs) such as Google Gemini and OpenAI ChatGPT, with long-form reasoning enabled.
These datasets were originally created by TeichAI for distillation and reasoning-focused training workflows.
Schema
Each row in the dataset has the following fields:
question_hash: Truncated, base64-encoded MD5 hash of the question, useful for filtering and deduplication.
question: The… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/TeichAI-thinking-reasoning-x.Claude-Opus-Dataclaw-Unredacted
Claude Opus Dataclaw Unredacted
How this dataset was built
Collected the local Petromallet raw export plus selected public Dataclaw uploads.
Filtered to the supported Opus-family source rows.
Deduplicated by session_id and first user message.
Converted raw assistant tool_uses directly into structured OpenAI-style tool_calls.
Derived per-row tool definitions from canonical schemas and observed tool usage.
Preserved assistant reasoning in <think>...</think> blocks.… See the full description on the dataset page: https://huggingface.co/datasets/TeichAI/Claude-Opus-Dataclaw-Unredacted.Aurora-Alpha-15.5k
Aurora Alpha 15.5k
This is a non-reasoning dataset generated using the stealth model Aurora Alpha.
The prompts from this dataset were almost all generated by GPT 5.1 and Gemini 3 (flash and pro).
The categories covered include academia, multi-lingual creative writing, finance, health, law, marketing/SEO, programming, philosophy, web dev, python scripting, and science.
Stats:
Cost: $ 0 (USD)
Tokens (input + output): 54.1 M
gpt-5-codex-250xopen-moderator-v1
Open Moderator
Summary
Open Moderator is an English moderation dataset of ~11,000 chat-style examples derived from publicly submitted posts on Confess Your Sins. Each example is labeled into one of several safety categories to support text classification and moderation-oriented text generation.
Source
Data source: Confess Your Sins (public submissions): https://confessyoursins.online/
Generation pipeline: Datagen by TeichAI:… See the full description on the dataset page: https://huggingface.co/datasets/TeichAI/open-moderator-v1.