Merge branch 'main' of https://huggingface.co/datasets/IVLLab/MultiDialog into main
Browse files- MultiDialog.py +0 -75
- README.md +5 -0
MultiDialog.py
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import json
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import os
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from datasets import load_dataset, DatasetInfo, DatasetDict, SplitGenerator, Split, Features, Value, Audio
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_DESCRIPTION = """
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Custom version of the Common Voice dataset with additional test_freq split including custom audio and metadata.
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"""
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_CITATION = """
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@inproceedings{commonvoice:2020,
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author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
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title = {Common Voice: A Massively-Multilingual Speech Corpus},
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booktitle = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)},
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year = 2020
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}
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"""
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_HOMEPAGE = "https://commonvoice.mozilla.org/en/datasets"
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_LICENSE = "https://creativecommons.org/publicdomain/zero/1.0/"
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class CustomCommonVoice(datasets.GeneratorBasedBuilder):
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"""Builder for a modified Common Voice dataset including a custom test_freq split."""
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VERSION = datasets.Version("1.0.0")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(name="test_freq", description="Custom rare test split of the Common Voice dataset."),
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]
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DEFAULT_CONFIG_NAME = "test_freq" # Default configuration to use if none specified.
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def _info(self):
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return DatasetInfo(
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description=_DESCRIPTION,
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features=Features({
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"id": Value("string"),
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"utterance": Value("int32"),
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"from": Value("string"),
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"value": Value("string"),
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"emotion": Value("string"),
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"file_name": Value("string"),
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"audio": Audio(sampling_rate=16_000),
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}),
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supervised_keys=("audio", "value"),
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homepage=_HOMEPAGE,
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citation=_CITATION,
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license=_LICENSE,
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)
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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test_freq_dir = os.path.abspath("test_freq") # Adjust path as needed
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test_freq_metadata = os.path.join(test_freq_dir, "metadata.jsonl")
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return [
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SplitGenerator(
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name=Split.TEST,
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gen_kwargs={"metadata_path": test_freq_metadata, "audio_dir": test_freq_dir}),
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]
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def _generate_examples(self, metadata_path, audio_dir):
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"""Yields examples."""
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with open(metadata_path, 'r', encoding='utf-8') as f:
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for line in f:
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metadata = json.loads(line)
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audio_path = os.path.join(audio_dir, metadata['file_name'])
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yield metadata['id'], {
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"id": metadata['id'],
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"utterance": metadata['utterance'],
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"from": metadata['from'],
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"value": metadata['value'],
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"emotion": metadata['emotion'],
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"file_name": metadata['file_name'],
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"audio": audio_path,
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}
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README.md
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@@ -9,6 +9,11 @@ language:
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- en
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size_categories:
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- 1K<n<10K
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---
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- en
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size_categories:
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- 1K<n<10K
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# configs:
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# - config_name: default
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# data_files:
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# - split: test_freq
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# path: test_freq/*, metadata.jsonl
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---
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