File size: 2,937 Bytes
976ddd0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 |
import json
import os
from datasets import load_dataset, DatasetInfo, DatasetDict, SplitGenerator, Split, Features, Value, Audio
_DESCRIPTION = """
Custom version of the Common Voice dataset with additional test_freq split including custom audio and metadata.
"""
_CITATION = """
@inproceedings{commonvoice:2020,
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.},
title = {Common Voice: A Massively-Multilingual Speech Corpus},
booktitle = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)},
year = 2020
}
"""
_HOMEPAGE = "https://commonvoice.mozilla.org/en/datasets"
_LICENSE = "https://creativecommons.org/publicdomain/zero/1.0/"
class CustomCommonVoice(datasets.GeneratorBasedBuilder):
"""Builder for a modified Common Voice dataset including a custom test_freq split."""
VERSION = datasets.Version("1.0.0")
BUILDER_CONFIGS = [
datasets.BuilderConfig(name="test_freq", description="Custom rare test split of the Common Voice dataset."),
]
DEFAULT_CONFIG_NAME = "test_freq" # Default configuration to use if none specified.
def _info(self):
return DatasetInfo(
description=_DESCRIPTION,
features=Features({
"id": Value("string"),
"utterance": Value("int32"),
"from": Value("string"),
"value": Value("string"),
"emotion": Value("string"),
"file_name": Value("string"),
"audio": Audio(sampling_rate=16_000),
}),
supervised_keys=("audio", "value"),
homepage=_HOMEPAGE,
citation=_CITATION,
license=_LICENSE,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
test_freq_dir = os.path.abspath("test_freq") # Adjust path as needed
test_freq_metadata = os.path.join(test_freq_dir, "metadata.jsonl")
return [
SplitGenerator(
name=Split.TEST,
gen_kwargs={"metadata_path": test_freq_metadata, "audio_dir": test_freq_dir}),
]
def _generate_examples(self, metadata_path, audio_dir):
"""Yields examples."""
with open(metadata_path, 'r', encoding='utf-8') as f:
for line in f:
metadata = json.loads(line)
audio_path = os.path.join(audio_dir, metadata['file_name'])
yield metadata['id'], {
"id": metadata['id'],
"utterance": metadata['utterance'],
"from": metadata['from'],
"value": metadata['value'],
"emotion": metadata['emotion'],
"file_name": metadata['file_name'],
"audio": audio_path,
}
|