Datasets › MLP
MLP (Multimodal Lecture Presentations)
Multimodal Lecture Presentations (MLP) is a large-scale benchmark dataset for testing the capabilities of machine learning models in multimodal understanding of educational content. To benchmark the understanding of multimodal information in lecture slides, two research tasks are introduced; they are designed to be a first step towards developing AI that can explain and illustrate lecture slides: automatic retrieval of (1) spoken explanations for an educational figure (Figure-to-Text) and (2) illustrations to accompany a spoken explanation (Text-to-Figure).
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- MLP
1 variant name, as the archive lists them.
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