| { | |
| "version": "0.1.0-rc1", | |
| "working_title": "OTC-Bench: Overlay–Target Confusion Benchmark", | |
| "paper_title": "When Overlays Become Targets: Diagnosing Target–Distractor Confusion in Vision-Language Models", | |
| "code_repository": "https://github.com/Seren666/OTC-Bench", | |
| "data_repository": "https://huggingface.co/datasets/MortalSnow/OTC-Bench", | |
| "targets": 800, | |
| "pairs": 1600, | |
| "stimuli": 6400, | |
| "models": 6, | |
| "model_answers": 38400, | |
| "cohorts": { | |
| "old_96": 96, | |
| "old_204": 204, | |
| "new_500": 500 | |
| }, | |
| "source": "COCO val2014", | |
| "donor_instances": 16, | |
| "donor_categories": 8, | |
| "human_ratings": 3900, | |
| "human_reviewed_pairs": 1300, | |
| "cohort_semantics": { | |
| "old_96": "Earlier development/expansion cohort", | |
| "old_204": "Earlier extension, reviewed before new-500 freeze", | |
| "new_500": "Later frozen target validation with existing donors; no donor-instance holdout" | |
| }, | |
| "generation": "See cohort-specific configs. Most runs use temperature 0/top_p 1/max_tokens 32; LLaVA uses do_sample false; some old96 seeds differ.", | |
| "public_image_redistribution": "not included; retrieve sources under their respective licenses and reconstruct", | |
| "scoring": "format_tolerant default (pre-existing uniform sensitivity) plus preserved frozen mode" | |
| } | |