Dataset · Hugging Face

facebook/PLM-Video-Human

Name: PLM-Video-Human
Creator: facebook
License: cc-by-4.0
Keywords: task_categories:multiple-choice, task_categories:visual-question-answering, annotations_creators:other, language_creators:other, language:en, license:cc-by-4.0, size_categories:1M<n<10M, format:parquet, modality:tabular, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2504.13180

Dataset Card for PLM-Video Human PLM-Video-Human is a collection of human-annotated resources for training Vision Language Models, focused on detailed video understanding. Training tasks include: fine-grained open-ended question answering (FGQA), Region-based Video Captioning (RCap), Region-based Dense Video Captioning (RDCap) and Region-based Temporal Localization (RTLoc). [📃 Tech Report] [📂 Github] Dataset Structure Fine-Grained Question Answering (FGQA)… See the full description on the dataset page: https://huggingface.co/datasets/facebook/PLM-Video-Human.

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Author / organization	facebook
License (as declared)	cc-by-4.0
Downloads	539 (as reported by Hugging Face)
Likes	30
Created	28 March 2025
Last updated at source	21 May 2025

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