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from datasets import GeneratorBasedBuilder, DatasetInfo, SplitGenerator, Split, Features, Value, Audio,SplitGenerator, Split
import os
import json
import csv
import datasets
from datasets.utils.py_utils import size_str
from tqdm import tqdm
_BASE_URL = "https://huggingface.co/datasets/iulik-pisik/audio_vreme/resolve/main/"
_AUDIO_URL = _BASE_URL + "audio/{split}.tar"
_TRANSCRIPT_URL = _BASE_URL + "transcript/{split}.tsv"
class AudioVreme(GeneratorBasedBuilder):
def _info(self):
return DatasetInfo(
description="Dataset de vreme preluat de la ProTV",
features=Features({
"path": Value("string"),
"audio": Audio(sampling_rate=16000),
"sentence": Value("string"),
"gender": Value("string"),
"name": Value("string"),
}),
supervised_keys=("audio", "transcript"),
homepage="https://huggingface.co/datasets/iulik-pisik/audio_vreme",
citation="Referința de citare a datasetului",
)
def _split_generators(self, dl_manager):
audio_urls = {
"train_audio": _AUDIO_URL.format(split="train"),
"test_audio": _AUDIO_URL.format(split="test"),
"validation_audio": _AUDIO_URL.format(split="validation"),
}
tsv_urls = {
"train_tsv": _TRANSCRIPT_URL.format(split="train"),
"test_tsv": _TRANSCRIPT_URL.format(split="test"),
"validation_tsv": _TRANSCRIPT_URL.format(split="validation"),
}
downloaded_audio_files = dl_manager.download_and_extract(audio_urls)
downloaded_tsv_files = dl_manager.download(tsv_urls)
return [
SplitGenerator(
name=Split.TRAIN,
gen_kwargs={
"archive_path": downloaded_audio_files["train_audio"],
"tsv_path": downloaded_tsv_files["train_tsv"],
},
),
SplitGenerator(
name=Split.TEST,
gen_kwargs={
"archive_path": downloaded_audio_files["test_audio"],
"tsv_path": downloaded_tsv_files["test_tsv"],
},
),
SplitGenerator(
name=Split.VALIDATION,
gen_kwargs={
"archive_path": downloaded_audio_files["validation_audio"],
"tsv_path": downloaded_tsv_files["validation_tsv"],
},
),
]
def _generate_examples(self, archive_path, tsv_path):
with open(tsv_path, encoding="utf-8") as f:
reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
for row in tqdm(reader, desc="Se citesc datele..."):
audio_file_name = row["path"]
audio_path = os.path.join(archive_path, audio_file_name)
if not os.path.isfile(audio_path):
continue
yield audio_file_name, {
"path": audio_path,
"audio": audio_path,
"sentence": row["sentence"],
"gender": row["gender"],
"name": row["name"]
} |