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import os
import datasets
import pandas as pd
_DESCRIPTION = """\
This dataset is collected from Commonvoice for testing purposes.
"""
_CITATION = "Some citation"
_data_dir = "data"
class ASRTesting(datasets.GeneratorBasedBuilder):
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"path": datasets.Value("string"),
"audio": datasets.Audio(sampling_rate=16_000),
"transcript": datasets.Value("string"),
}
),
supervised_keys=None,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
download_dir = dl_manager.download_and_extract(
{
"files": os.path.join(_data_dir, "files.zip"),
"metadata": os.path.join(_data_dir, "metadata.zip")
}
)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"split": datasets.Split.TRAIN,
"data_dir": os.path.join(download_dir["files"], "files"),
"metapath": os.path.join(download_dir["metadata"], "metadata", "dataset.tsv"),
},
)
]
def _generate_examples(self, data_dir, metapath, split):
metadata = pd.read_csv(metapath, sep="\t")
for key, row in metadata.iterrows():
audio_path = os.path.join(data_dir, row["audio"])
yield key, {
"audio": audio_path,
"transcript": row["transcript"],
"path": audio_path,
} |