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Data · dataset · 2025

TencentARC/Video-Holmes

Listed in Hugging Face Datasets

Description

Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning? Junhao Cheng1,2, Yuying Ge1,✉, Teng Wang1,✉, Yixiao Ge1, Jing Liao2, Ying Shan1 1ARC Lab, Tencent PCG, 2City University of Hong Kong 🔎 Introduction Video-Holmes is a benchmark designed to evaluate the complex video reasoning capabilities of MLLMs. Video-Holmes consists of 1,837 questions derived from 270 manually annotated suspense short films (ranging from 1 to 5 minutes)… See the full description on the dataset page: huggingface.co/datasets/TencentARC/Video-Holmes.

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Catalogue records · 1

Topics

Stated by source
video · video text to text
Inferred from text
Video 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsTencentARC/Video-Holmes15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:videosource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:videoenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
concepts[task].hf_task:video-text-to-textsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0