Dataset · Hugging Face

suryadv/concor-video-data-filtered

Name: concor-video-data-filtered
Creator: suryadv
Keywords: language:en, size_categories:100K<n<1M, modality:tabular, modality:text, region:us, referring-video-object-segmentation, video-instance-segmentation, instance-tracklets, manual-annotation, ref-youtube-vos, revos, gpt-refined, video-captioning

ConCor Video Data (Filtered) Ref-YouTube-VOS and ReVOS annotations linking exact caption spans to full instance-mask tracklets in both directions (BCC: Bidirectional Concept Correspondence). GPT refinement addresses the main observed failure modes: incorrect spaCy entity links, irrelevant or excessive context masks, unsupported descriptions, and broken correspondences. Automated review improves these annotations; it does not certify every mask or caption as correct.… See the full description on the dataset page: https://huggingface.co/datasets/suryadv/concor-video-data-filtered.

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Author / organization	suryadv
Downloads	135 (as reported by Hugging Face)
Likes	0
Created	15 September 2026
Last updated at source	13 October 2026

referring-video-object-segmentationvideo-instance-segmentationinstance-trackletsmanual-annotationref-youtube-vosrevosgpt-refinedvideo-captioning

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