README.md

metadata

pretty_name: NCS-STR
task_categories:
  - visual-question-answering
  - image-to-text
language:
  - en
configs:
  - config_name: hands_on
    data_files:
      - split: train
        path: data/hands_on/*.parquet
  - config_name: advanced
    data_files:
      - split: train
        path: data/advanced/*.parquet

NCS-STR

NCS-STR contains two subsets:

• hands_on
• advanced

Each example contains a shuffled image sequence, an annotation, and the correct order.

Usage after uploading to Hugging Face

from datasets import load_dataset

hands_on = load_dataset("WM33333/NCS-STR", "hands_on", split="train", token=True)
advanced = load_dataset("WM33333/NCS-STR", "advanced", split="train", token=True)

Fields

• video_id: folder id extracted from the original vid path
• annotation: task annotation
• image_filenames: shuffled frame filenames
• images: shuffled image sequence, stored as image bytes in Parquet
• answer_order: correct order, preserved exactly from the JSON files
• subset: hands_on or advanced