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AbstractPhil/qwen-deepfashion-fused

qwen-deepfashion-fused Every SFW row of AbstractPhil/qwen-deepfashion processed by the qwen-test-runner 12-process fused extraction system: age gate (strict) → 3×caption structuring (Qwen3.5-9B, slot-registry schema) → 12 deterministic vision task JSONs (tasks_json) → FusedScene (fused_json: entities with mask-containment-owned stratified attributes, relations with continuous offsets, counts, shared basin) → deterministic fused prompt (prompt_fused). Shards are strictly under… See the full description on the dataset page: https://huggingface.co/datasets/AbstractPhil/qwen-deepfashion-fused.

sourceHugging Faceapache-2.0updated 3mo agoView on Hugging Face

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qwen-deepfashion-fused

Every SFW row of `AbstractPhil/qwen-deepfashion` processed by the qwen-test-runner 12-process fused extraction system: age gate (strict) → 3×caption structuring (Qwen3.5-9B, slot-registry schema) → 12 deterministic vision task JSONs (tasks_json) → FusedScene (fused_json: entities with mask-containment-owned stratified attributes, relations with continuous offsets, counts, shared basin) → deterministic fused prompt (prompt_fused).

Shards are strictly under 350MB, guaranteed; _manifests/ carries one completion marker per source shard (rows in/kept/rejected + timings). Rows kept: 122139 (rejected by the age gate: 38076).

All extraction models are Apache-2.0/MIT — outputs are redistributable. Methodology: the qwen-test-runner repo, docs/VISION_PIPELINE.md.