--- configs: - config_name: single_256 data_files: - path: single_256/data-00000-of-00001.arrow split: train - config_name: single_512 data_files: - path: single_512/data-00000-of-00001.arrow split: train - config_name: single_1024 data_files: - path: single_1024/data-00000-of-00001.arrow split: train - config_name: single_2048 data_files: - path: single_2048/data-00000-of-00001.arrow split: train - config_name: single_4096 data_files: - path: single_4096/data-00000-of-00001.arrow split: train - config_name: multiple_256 data_files: - path: multiple_256/data-00000-of-00001.arrow split: train - config_name: multiple_512 data_files: - path: multiple_512/data-00000-of-00001.arrow split: train - config_name: multiple_1024 data_files: - path: multiple_1024/data-00000-of-00001.arrow split: train - config_name: multiple_2048 data_files: - path: multiple_2048/data-00000-of-00001.arrow split: train - config_name: multiple_4096 data_files: - path: multiple_4096/data-00000-of-00001.arrow split: train - config_name: delete_256 data_files: - path: delete_256/data-00000-of-00001.arrow split: train - config_name: delete_512 data_files: - path: delete_512/data-00000-of-00001.arrow split: train - config_name: delete_1024 data_files: - path: delete_1024/data-00000-of-00001.arrow split: train - config_name: delete_2048 data_files: - path: delete_2048/data-00000-of-00001.arrow split: train - config_name: delete_4096 data_files: - path: delete_4096/data-00000-of-00001.arrow split: train --- ## Dataset Organization The DEG dataset is organized by subsets (single, multiple, delete) and context length. Each subset has multiple subsets corresponding to different context lengths. ## Instructions to Download You can load a dataset using HF's API, with an example below. ```python from datasets import load_dataset deg_data = load_dataset("wanglab/deg", 'single_256') # Access the train data for a specific context length train_data = deg_data['train']