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#!/usr/bin/env python3
from collections import defaultdict
import os
import csv
import datasets
_NAME="RUV TV unknown speakers"
_VERSION="1.0.0"
_DESCRIPTION = """
RUV TV unknown speakers
"""
class RuvConfig(datasets.BuilderConfig):
"""BuilderConfig for The RUV TV unknown speakers Corpus"""
def __init__(self, name, **kwargs):
name=_NAME
super().__init__(name=name, **kwargs)
class RuvAsr(datasets.GeneratorBasedBuilder):
"""RUV TV unknown speakers 1.0"""
VERSION = datasets.Version(_VERSION)
BUILDER_CONFIGS = [
RuvConfig(
name=_NAME,
version=datasets.Version(_VERSION),
)
]
def _info(self):
features = datasets.Features(
{
"audio_id": datasets.Value("string"),
"audio": datasets.Audio(sampling_rate=16000),
"show_name": datasets.Value("string"),
"episode_id": datasets.Value("string"),
"text": datasets.Value("string"),
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
)
def _split_generators(self, dl_manager: datasets.DownloadManager):
metadata_path = dl_manager.download_and_extract("metadata.tsv")
audio_dir = "audio"
audio_paths = {}
audio_archives = {}
texts_path = dl_manager.download_and_extract("text")
with open(metadata_path) as f:
metadata = csv.DictReader(f, fieldnames=["audio_id", "episode_id", "show_name", "duration"], delimiter="\t")
for line in metadata:
audio_path = os.path.join(audio_dir, line["show_name"], line["episode_id"], line["audio_id"] + ".flac")
audio_paths[line["audio_id"]] = audio_path
try:
audio_archives[line["audio_id"]] = dl_manager.download_and_extract(audio_path)
except FileNotFoundError as e:
print(e)
print("Failed to download", audio_path, "continuing...")
continue
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"metadata_path": metadata_path, "audio_archives": audio_archives, "texts_path": texts_path}),
]
def _generate_examples(self, metadata_path, audio_archives, texts_path):
with open(metadata_path) as f, open(texts_path) as g:
metadata = csv.DictReader(f, fieldnames=["audio_id", "episode_id", "show_name", "duration"], delimiter="\t")
for line, text_line in zip(metadata, g.readlines()):
audio_id = line["audio_id"]
audio_file = audio_archives[audio_id]
yield audio_id, {
"audio_id": audio_id,
"audio": {"path": audio_file, "bytes": open(audio_file, "rb").read()},
"show_name": line["show_name"],
"episode_id": line["episode_id"],
"text": text_line.split(" ", maxsplit=1)[1].rstrip(),
}
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