| 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 | |
| ```python | |
| 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` | |