Update MELD_Audio.py
Browse files- MELD_Audio.py +1 -5
MELD_Audio.py
CHANGED
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@@ -76,7 +76,6 @@ class MELD_Audio(datasets.GeneratorBasedBuilder):
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"test": "archive/test.tar.gz",
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}
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) # type: ignore # noqa: PGH003
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path_to_clips = "MELD_Audio"
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local_extracted_archive: dict[str, str] = (
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dl_manager.extract(data_path)
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if not dl_manager.is_streaming
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@@ -95,7 +94,6 @@ class MELD_Audio(datasets.GeneratorBasedBuilder):
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"split": "train",
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"local_extracted_archive": local_extracted_archive["train"],
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"audio_files": dl_manager.iter_archive(data_path["train"]),
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"path_to_clips": path_to_clips,
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},
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),
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datasets.SplitGenerator(
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@@ -105,7 +103,6 @@ class MELD_Audio(datasets.GeneratorBasedBuilder):
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"split": "dev",
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"local_extracted_archive": local_extracted_archive["dev"],
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"audio_files": dl_manager.iter_archive(data_path["dev"]),
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"path_to_clips": path_to_clips,
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},
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),
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datasets.SplitGenerator(
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@@ -115,12 +112,11 @@ class MELD_Audio(datasets.GeneratorBasedBuilder):
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"split": "test",
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"local_extracted_archive": local_extracted_archive["test"],
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"audio_files": dl_manager.iter_archive(data_path["test"]),
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"path_to_clips": path_to_clips,
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},
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),
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]
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def _generate_examples(self, filepath, split, local_extracted_archive, audio_files
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"""Yields examples."""
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metadata_df = pd.read_csv(filepath, sep=",", index_col=0, header=0)
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metadata = {}
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"test": "archive/test.tar.gz",
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}
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) # type: ignore # noqa: PGH003
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local_extracted_archive: dict[str, str] = (
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dl_manager.extract(data_path)
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if not dl_manager.is_streaming
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"split": "train",
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"local_extracted_archive": local_extracted_archive["train"],
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"audio_files": dl_manager.iter_archive(data_path["train"]),
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},
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),
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datasets.SplitGenerator(
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"split": "dev",
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"local_extracted_archive": local_extracted_archive["dev"],
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"audio_files": dl_manager.iter_archive(data_path["dev"]),
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},
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),
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datasets.SplitGenerator(
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"split": "test",
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"local_extracted_archive": local_extracted_archive["test"],
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"audio_files": dl_manager.iter_archive(data_path["test"]),
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},
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),
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]
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+
def _generate_examples(self, filepath, split, local_extracted_archive, audio_files):
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"""Yields examples."""
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metadata_df = pd.read_csv(filepath, sep=",", index_col=0, header=0)
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metadata = {}
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