Ox-Alpha-10k / README.md
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metadata
task_categories:
  - text-generation
language:
  - en
pretty_name: Ox Alpha Chat Traces
tags:
  - conversational
  - distillation
  - teich
  - stealth/ox-alpha
configs:
  - config_name: default
    data_files:
      - split: train
        path: '*.jsonl'

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%
Writing & communication 584 5.9%
Math & quantitative reasoning 575 5.8%
Mobile development 340 3.4%
Creativity 300 3.0%
Instruction following & structured output 293 2.9%
Biology 274 2.8%
Physics & astronomy 250 2.5%
Economics & finance 240 2.4%
Machine learning 240 2.4%
Security engineering (defensive) 240 2.4%
Law & policy 239 2.4%
Health & medicine 237 2.4%
Education & tutoring 235 2.4%
Multilingual & translation 232 2.3%
Chemistry 223 2.2%
Humanities & social science 200 2.0%
Data tasks (SQL, spreadsheets, wrangling) 183 1.8%
Engineering 150 1.5%
Earth & environmental science 148 1.5%
Research methods 75 0.8%
DevOps / SRE 40 0.4%
Explanation 15 0.2%
Safety 12 0.1%
Total 9,954 100%

Difficulty

Tier Rows Share
Hard 4,398 44.2%
Medium 3,443 34.6%
Expert 984 9.9%
Foundational 943 9.5%
Mixed (curated seeds) 186 1.9%

Family

Family Rows Share
Ability (do a task) 7,077 71.1%
Knowledge (explain/analyze) 2,691 27.0%
Curated seed (original hand-picked) 186 1.9%