mskov commited on
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2da63d4
·
1 Parent(s): 54f3adf

Update misophoniaSounds.py

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  1. misophoniaSounds.py +9 -8
misophoniaSounds.py CHANGED
@@ -8,13 +8,14 @@ _HOMEPAGE = "https://huggingface.co/datasets/mskov/misophoniaSounds"
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  _CITATION = ""
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  _DESCRIPTION = "Dataset for misophonia inducing sound detection"
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  _DATA_URLS = {
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- "https://huggingface.co/datasets/mskov/misophoniaSounds/data/all_audio.tar.gz"
 
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  }
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  _PROMPTS_URLS ={
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- "train": "https://huggingface.co/datasets/mskov/misophoniaSounds/data/train_prompts.csv",
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- "test": "https://huggingface.co/datasets/mskov/misophoniaSounds/data/test_prompts.csv"
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- #"train": "train_prompts.csv",
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- #"test": "test_prompts.csv"
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  }
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  _NAMES = ["breathing", "chewing", "coughing", "mouth_sounds", "lip_smack", "sniffling", "yawn"]
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@@ -26,15 +27,15 @@ class Miso(datasets.GeneratorBasedBuilder):
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  features=datasets.Features(
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  {
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  "audio": datasets.Audio(sampling_rate=16_000),
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- "transcript": datasets.features.ClassLabel(names=_NAMES),
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- #"transcript": datasets.Value("string"),
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  }
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  ),
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  #supervised_keys=("audio"),
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  supervised_keys=None,
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  homepage=_HOMEPAGE,
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  citation=_CITATION,
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- task_templates=[AutomaticSpeechRecognition(audio_column="audio", transcription_column="transcription")],
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  )
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  def _split_generators(self, dl_manager):
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  #data_files = dl_manager.download_and_extract(_DATA_URLS),
 
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  _CITATION = ""
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  _DESCRIPTION = "Dataset for misophonia inducing sound detection"
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  _DATA_URLS = {
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+ #"https://huggingface.co/datasets/mskov/misophoniaSounds/data/all_audio.tar.gz"
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+ "data/all_audio.tar.gz"
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  }
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  _PROMPTS_URLS ={
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+ #"train": "https://huggingface.co/datasets/mskov/misophoniaSounds/data/train_prompts.csv",
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+ #"test": "https://huggingface.co/datasets/mskov/misophoniaSounds/data/test_prompts.csv"
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+ "train": "data/rain_prompts.csv",
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+ "test": "data/test_prompts.csv"
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  }
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  _NAMES = ["breathing", "chewing", "coughing", "mouth_sounds", "lip_smack", "sniffling", "yawn"]
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  features=datasets.Features(
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  {
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  "audio": datasets.Audio(sampling_rate=16_000),
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+ #"transcript": datasets.features.ClassLabel(names=_NAMES),
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+ "transcript": datasets.Value("string"),
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  }
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  ),
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  #supervised_keys=("audio"),
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  supervised_keys=None,
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  homepage=_HOMEPAGE,
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  citation=_CITATION,
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+ task_templates=[AutomaticSpeechRecognition(audio_column="audio", transcription_column="transcript")],
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  )
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  def _split_generators(self, dl_manager):
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  #data_files = dl_manager.download_and_extract(_DATA_URLS),