TVR

TV show Retrieval

Dataset Information
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Overview

A new multimodal retrieval dataset. TVR requires systems to understand both videos and their associated subtitle (dialogue) texts, making it more realistic. The dataset contains 109K queries collected on 21.8K videos from 6 TV shows of diverse genres, where each query is associated with a tight temporal window.

Source: TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval

Variants: TVR

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Video Retrieval Hero w/ pre-training HERO: Hierarchical Encoder for Video+Language … 2020-05-01
Video Retrieval XML (Lei et al., 2020) TVR: A Large-Scale Dataset for … 2020-01-24

Research Papers

Recent papers with results on this dataset: