Datasets › SCICAP
SCICAP
SCICAP is a large-scale image captioning dataset that contains real-world scientific figures and captions. SCICAP was constructed using more than two million images from over 290,000 papers collected and released by arXiv.
Image source: https://arxiv.org/pdf/2110.11624v1.pdf
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 | ||||
|---|---|---|---|---|---|---|
| Image Captioning | SCICAP | CNN+LSTM (Vision only, First sentence) BLEU-4 0.0219 | SciCap: Generating Captions for Scientific Figures | tingyaohsu/scicap | 9 | 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 18. 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 | |||
|---|---|---|---|---|
| SciCap: Generating Captions for Scientific Figures | 1 | 9 | 22 Oct 2021 | not harvested |
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- SCICAP
1 variant name, as the archive lists them.
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