README.md

---
language:
  - en
license: cc-by-nc-4.0
multilinguality: monolingual
size_categories: 10K<n<100K
task_categories:
  - question-answering
task_ids:
  - closed-domain-qa
pretty_name: PsTuts-VQA
dataset_info:
  features:
    - name: video
      dtype: video
    - name: question
      dtype: string
    - name: answer
      dtype: string
    - name: timestamp
      dtype: float
    - name: entity_id
      dtype: string
    - name: option_id
      dtype: string
  config_name: default
  splits:
    - name: train
      num_examples: ~12000
    - name: validation
      num_examples: ~2500
    - name: test
      num_examples: ~3000
  homepage: https://sites.google.com/view/pstuts-vqa/home
  repository: https://github.com/adobe-research/PsTuts-VQA-Dataset
tags:
  - video-understanding
  - instructional-videos
  - domain-specific
  - image-editing
  - photoshop
---

# PsTuts-VQA-Dataset

**Note:** This is a mirror of Adobe Research dataset hosted at https://github.com/adobe-research/PsTuts-VQA-Dataset
and released under a permissive CC license.

https://sites.google.com/view/pstuts-vqa/home

PsTuts-VQA is a video question answering dataset on the narrated instructional videos for an image editing software. All the videos and their manual transcripts in English were obtained from the official website of the software. To collect a high-quality question answering dataset, three image editing experts using the software were hired and asked to watch the videos in sequence and generate a question and answer pair at a moment in the video. Each answer is linked to an entity or an option in an existing knowledge base for the software. The dataset includes the following resources: 76 videos (5.6 hours in total), 17,768 question-answer pairs, and a domain knowledge-base with 1,236 entities and 2,196 options.

Please see the license: https://creativecommons.org/licenses/by-nc/4.0/legalcode