Varek Phase 0 dataset build

README.md

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+# Varek SFT Mix A - Generalized Coding
+
+Part of the **Varek** project: a sub-1B parameter edge-deployable model for generalized coding.
+
+## Composition
+
+| Source dataset | Conversations |
+|---|---|
+| `qwen3.8-max-50k` | 44,179 |
+| `qgk-sft_code` | 13,427 |
+| `qgk-sft_reasoning` | 9,950 |
+| `multi-distilled` | 8,242 |
+| `qgk-sft_math` | 4,891 |
+| `multi-cybersecurity` | 4,849 |
+| `multi-coding` | 2,229 |
+| `kimik3` | 2,033 |
+| `claude-mythos` | 75 |
+
+**Total: 89,875 conversations**
+
+## Processing pipeline
+
+1. Parsed upstream parquet/jsonl (messages stored as JSON strings were decoded)
+2. OpenAI-format tool_calls normalized (arguments JSON-string -> dict) for Qwen chat-template compatibility
+3. Quality filters: quality score >= 0.75 (fable-5), >= 0.7 (q38/vibecoding), sampling_weight > 0 (qgk)
+4. Cross-source deduplication: exact-conversation SHA-256 + assistant-output-only SHA-256
+5. Test splits of every upstream family held out globally (leak blocklist) - reserved for evaluation
+6. RaceBench excluded entirely per project policy; never loaded or referenced
+
+## License
+
+Inherits upstream licenses: MIT for most sources. The `multi-*` shards derive from an
+upstream repository published under a custom/other license; treat this derivative accordingly.

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