Datasets:
Download CAP/summary.json from aviadcohz/Detecture_ICLR_Benchmarking: direct link, hf CLI and curl.
- Browser
- Download file 2.64 kB
-
https://huggingface.co/datasets/aviadcohz/Detecture_ICLR_Benchmarking/resolve/main/CAP/summary.json
- Command line
-
hf download hf://datasets/aviadcohz/Detecture_ICLR_Benchmarking/CAP/summary.json
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curl -L -o summary.json https://huggingface.co/datasets/aviadcohz/Detecture_ICLR_Benchmarking/resolve/main/CAP/summary.json
2.64 kB
| { | |
| "name": "CAP", | |
| "path": "/home/aviad/datasets/CAP", | |
| "texture_type": "category-independent appearance partitioning (two-region transition crops)", | |
| "k_nominal": "2", | |
| "source": "RWTD_Coco CAP_balanced_256: 212 manually curated anchors plus 44 CAP-supervised additions, all from the COCO-Stuff 164K stuffthingmaps tiers; NOT derived from ADE20K", | |
| "built_utc": "2026-09-02T08:45:51.767195+00:00", | |
| "selection": { | |
| "method": "manual review", | |
| "selection_dir": "(local manual selection)", | |
| "n_selected": 256, | |
| "by_source_pool": { | |
| "CAP_500": 152, | |
| "CAP_500/candidate": 13, | |
| "CAP_FC/candidate": 8, | |
| "raw/tier1": 49, | |
| "raw/tier2": 34 | |
| }, | |
| "by_tier": { | |
| "tier1": 201, | |
| "tier2": 55 | |
| }, | |
| "n_cap500": 248, | |
| "n_cap_cf": 8, | |
| "by_curation": { | |
| "CAP_supervised_extension": 44, | |
| "manual anchor": 212 | |
| }, | |
| "anchor_note": "The manually curated anchors are identified per entry by provenance.curation.is_cap_anchor=true; the rest were added by the CAP-supervised ranker. No separate anchor directory is kept -- filter on that flag instead.", | |
| "note": "Entries with cap_selection.cap_cf=true come from the CAP-CF pool and were chosen because their two regions look alike. They are counterfactual probes, not typical samples; keep them separable when computing set-level statistics." | |
| }, | |
| "directories": { | |
| "images": 256, | |
| "masks": 256, | |
| "overlays": 256, | |
| "textures_mask": 512 | |
| }, | |
| "metadata_files": { | |
| "metadata.json": { | |
| "num_entries": 256, | |
| "total_texture_instances": 512, | |
| "non_empty_descriptions": 0 | |
| } | |
| }, | |
| "k_distribution": { | |
| "2": 256 | |
| }, | |
| "description_policy": "blank (annotation_status=pending_human)", | |
| "provenance_audit": { | |
| "ade20k_derived_entries": 0, | |
| "clean": true, | |
| "image_bytes_verified_against_source": 256 | |
| }, | |
| "mirrors": { | |
| "repo_copy": "RWTD_Coco/output/CAP_balanced_256", | |
| "note": "same 256 samples and the same region masks. This copy follows the Detecture dataset layout: masks/<id>_annotation.png is the RGB annotation the sibling datasets use. The repo copy follows the RWTD_Coco tier layout instead -- the same regions live there as label_masks/<id>.png (tri-value) and masks/<id>.png (binary, region A) -- and it adds manifest.jsonl/.csv, source_label_crops/ and contact_sheets/ for the statistics pipeline." | |
| }, | |
| "image_sizes": { | |
| "sampled": 50, | |
| "unique_sizes_in_sample": 4, | |
| "width": { | |
| "min": 192, | |
| "max": 256 | |
| }, | |
| "height": { | |
| "min": 192, | |
| "max": 256 | |
| }, | |
| "constant": false, | |
| "example_size": [ | |
| 192, | |
| 192 | |
| ] | |
| } | |
| } |