Datasets:
Tasks:
Video Classification
Modalities:
Video
Languages:
English
Size:
< 1K
Tags:
temporal-localization
video-understanding
multimodal
multimodal-safety
content-moderation
long-video
License:
Update README.md
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README.md
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@@ -64,19 +64,21 @@ The dataset consists of 450 real-world long videos (all ≥3 minutes in duration
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## Dataset Structure
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The dataset is released as a single CSV file with 450 rows (one row per video) and 4 core columns, with segment-level annotations stored in structured list format:
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Column Name Description
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videoID Unique identifier for each video, corresponding to the original platform's video ID
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segment-level annotation One-hot encoded labels for 11 harmful categories, with one list per annotated segment in the video
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segment-level timestamp Start and end timestamps (in mm:ss format) for each annotated harmful segment, with one pair per segment
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contributing modalities One-hot encoded labels for 3 contributing modalities (visual, textual, auditory), with one list per annotated segment
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Key Dataset Statistics
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Total videos: 450
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Total annotated harmful segments: 1,099
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Video duration range: 3–40 minutes
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Average harmful segment duration: 68.31 seconds
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Harmful categories: 11 fine-grained classes (Information Harm, Verbal Abuse, Hate, Bias, Addiction Harm, Sexual Harm, Physical Harm, Violence, Blood/Gore, Criminal Activity, Danger)
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Contributing modalities: 3 classes (Visual, Textual, Auditory)
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## Dataset Creation
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### Curation Rationale
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## Dataset Structure
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The dataset is released as a single CSV file with 450 rows (one row per video) and 4 core columns, with segment-level annotations stored in structured list format:
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| Column Name | Description |
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|---------------------------|-----------------------------------------------------------------------------|
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| `videoID` | Unique identifier for each video, corresponding to the original platform's video ID |
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| `segment-level annotation`| One-hot encoded labels for 11 harmful categories, with one list per annotated segment in the video |
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| `segment-level timestamp` | Start and end timestamps (in `mm:ss` format) for each annotated harmful segment, with one pair per segment |
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| `contributing modalities` | One-hot encoded labels for 3 contributing modalities (visual, textual, auditory), with one list per annotated segment |
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### Key Dataset Statistics
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- Total videos: 450
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- Total annotated harmful segments: 1,099
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- Video duration range: 3–40 minutes
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- Average harmful segment duration: 68.31 seconds
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- Harmful categories: 11 fine-grained classes (Information Harm, Verbal Abuse, Hate, Bias, Addiction Harm, Sexual Harm, Physical Harm, Violence, Blood/Gore, Criminal Activity, Danger)
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- Contributing modalities: 3 classes (Visual, Textual, Auditory)
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## Dataset Creation
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### Curation Rationale
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