Datasets › SRI-APPROVE Fine-Grained Video Classification
SRI-APPROVE Fine-Grained Video Classification
APPROVE consists of curated YouTube videos annotated with educational content. APPROVE consists of 193 hours of expert-annotated videos with 19 classes (7 literacy codes, 11 math, and background) and each video is associated with approximately 3 labels on average.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Video Classification | SRI-APPROVE Fine-Grained Video Classification | Multi-Label Prototypes Contrastive Learning AUPR 88.4 | Class Prototypes Based Contrastive Learning for... | — | 1 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos | 0 | 1 | 1 Jan 2023 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- SRI-APPROVE Fine-Grained Video Classification
1 variant name, as the archive lists them.
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