Datasets:
metadata
license: cc-by-nc-sa-4.0
language:
- en
- ja
pretty_name: MEDit-Bench
tags:
- video
- video-summarization
- temporal-grounding
- video-captioning
task_categories:
- video-text-to-text
size_categories:
- 1K<n<10K
MEDit-Bench: Temporal Grounding Annotations
Human-annotated temporal grounding data for 60 YouTube videos. For each video, annotators were given a short list of "summary messages" describing the video and asked to mark every time range in the video that supports each message. Each message was annotated independently by 3 annotators.
This dataset ships annotations only — no video files. Each row points to the source video via its YouTube ID / URL so the underlying footage can be retrieved directly from YouTube.
Dataset structure
One row = one summary message annotated by one annotator.
| column | type | description |
|---|---|---|
video_id |
string | YouTube video ID |
message |
string | Summary message text (English) |
annotator_index |
int | Index (0-based) of the annotator — 3 annotators per message |
segments |
list of [start, end] |
The cuts this annotator marked as supporting the message. HH:MM:SS:FF timecode (frame number — not converted to seconds since source frame rate varies). |
- 60 videos, 180 messages (3 per video), 540 rows (3 annotators per message).
License
Annotations are released under CC BY-NC-SA 4.0. Source videos remain the property of their original YouTube creators and are not redistributed here.