ProceL Dataset for Learning from Instructional Videos

• ProceL is a multimodal procedural learning dataset for research on instructional video understanding.


• The dataset consists of 47.3 hours of annotated videos from 720 videos coming from 12 diverse tasks. For every task, an instruction grammar is built and videos are annotated with the beginning and ending time of each key-step in the grammar. The dataset can be downloaded from the link below. When using the dataset in your work, you should cite the following paper:
  
  E. Elhamifar, Z. Naing, Unsupervised Procedure Learning via Joint Dynamic Summarization,
  International Conference on Computer Vision (ICCV), 2020.

Dataset Page