| # Web Research + GitHub + Website Coding Dataset | |
| Version: 1.1.0 | |
| Total examples: 5,000,000 | |
| ## Splits | |
| - train: 4,750,000 | |
| - validation: 125,000 | |
| - test: 125,000 | |
| ## Core capabilities | |
| - Web search | |
| - Web research | |
| - Evidence extraction | |
| - Fact verification | |
| - Multi-hop research | |
| - Multi-layer technical analysis | |
| - Architecture analysis | |
| - Root-cause analysis | |
| - Security analysis | |
| - Performance analysis | |
| - UX analysis | |
| - Design analysis | |
| - Refactoring | |
| - Code review | |
| - Debugging | |
| - Website coding | |
| - Design systems | |
| - Developer experience | |
| - Developer onboarding | |
| - API developer experience | |
| - Documentation experience | |
| ## Source diversity | |
| - Hugging Face: 20% | |
| - GitLab: 10% | |
| - Codeberg: 5% | |
| - Stack Exchange: 15% | |
| - MDN: 15% | |
| - PyPI: 10% | |
| - npm: 10% | |
| - Official web documentation: 10% | |
| - GitHub: 5% | |
| ## Multi-layer reasoning structure | |
| Each deep analysis can cover: | |
| 1. Problem | |
| 2. Context | |
| 3. Evidence | |
| 4. Architecture | |
| 5. Implementation | |
| 6. Quality | |
| 7. Security | |
| 8. Performance | |
| 9. UX | |
| 10. Design | |
| 11. Developer Experience | |
| 12. Validation | |
| 13. Trade-offs | |
| 14. Final synthesis | |
| ## Rate limits | |
| GitHub is intentionally limited to a small anchor pool. | |
| The 5,000,000 examples are generated locally from the collected | |
| source anchors and therefore do not require 5,000,000 API requests. | |
| ## Data note | |
| The dataset consists primarily of generated examples grounded | |
| in public technical source metadata and URLs. It is not intended | |
| to be a bulk reproduction of third-party website contents. |