10 datasets found

The HowToStep dataset is a large-scale instructional dataset constructed for training, by transforming the original transcripts of HTM-370K into around 4M ordered instructional...

A new task called Affordance-centric Question-driven Task Completion, where the AI assistant should learn from instructional videos to provide step-by-step help in the user’s view.

The INRIA YouTube Instructional Videos dataset contains five tasks of different instructional domains: “making coffee”, “changing a car tire”, “CPR”, “jumping a car”, and...

The dataset used in the paper is a dataset of instructional videos, which includes 150 videos depicting 5 daily tasks, with an average of 9.5 actions per video.

The dataset used in the paper is a dataset of instructional videos, which includes 2,750 videos spanning 18 different tasks, with an average of 7.6 actions per video.

The dataset used in the paper is a large-scale instructional video dataset, which includes 11,827 videos involving 180 different tasks, with an average of 3.6 actions per video.

The dataset used in the LORD framework for autonomous driving, consisting of images, videos, and text-based observations.

The CrossTask dataset contains 2,750 instructional videos, annotated for 133 keystep labels spanning 18 tasks.

Weakly supervised action segmentation dataset

The COIN dataset is a large-scale instructional video dataset that contains 100 hours of video. The dataset is used for instructional video analysis and understanding.