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Datasets:
WM33333
/
NCS-STR

Tasks:
Visual Question Answering
Image-to-Text
Modalities:
Image
Text
Formats:
parquet
Languages:
English
Size:
100K - 1M
Libraries:
Datasets
Dask
Polars
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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
Downloads last month
518
Number of rows:
103,549
Total file size:
142 GB