dolphinteam/DophinWhistle-Classification-Finetuning

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - config_name: unbalanced data_files: - split: train path: unbalanced/train-* - split: test path: unbalanced/test-* - config_name: all data_files: - split: train path: all/train-* - split: test path: all/test-* --- # DolphinWhistle-Classification-Finetuning This dataset contains embedded dolphin whistle segments with identity labels for finetuning audio encoders. ## Available configs - `default` (`balanced`): 2400 train / 600 test / 6 labels - `unbalanced`: 2790 train / 698 test / 10 labels - `all`: 6683 train / 1671 test / 10 labels ## Label sets - `default` (`balanced`): NSW_9, SW_Luna, SW_Nana, SW_Neo, SW_Nikita, SW_Yosefa - `unbalanced`: NSW_3, NSW_6, NSW_9, SW_Dana, SW_Luna, SW_Nana, SW_Neo, SW_Nikita, SW_Shy, SW_Yosefa - `all`: NSW_3, NSW_6, NSW_9, SW_Dana, SW_Luna, SW_Nana, SW_Neo, SW_Nikita, SW_Shy, SW_Yosefa ## Example ```python from datasets import load_dataset, Audio balanced = load_dataset("dolphinteam/DophinWhistle-Classification-Finetuning") unbalanced = load_dataset("dolphinteam/DophinWhistle-Classification-Finetuning", "unbalanced") all_cfg = load_dataset("dolphinteam/DophinWhistle-Classification-Finetuning", "all") unbalanced["train"] = unbalanced["train"].cast_column("audio", Audio(decode=False)) ```