Before revision:  We first create a manually annotated , large evaluation dataset including over350 instructional cooking videos along with over 15, 000 English sentences in transcripts spanning over 89 recipes. We conduct analysis of the challenges posed by this task and dataset with experiments with unsupervised segmentation, semantic role labeling, and visual action detection based baselines.
After revision:  We first create a manually annotated , large evaluation dataset including over350 instructional cooking videos along with over 15, 523 video clip/sentence-level annotations. Our analysis shows that the proposed task is challenging and standard modeling approaches like unsupervised segmentation, semantic role labeling, and visual action detection based baselines.