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import os
import json
import tarfile
import datasets
class LEMASDataset(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("1.0.0")
def _info(self):
return datasets.DatasetInfo(
description="LEMAS multilingual training dataset with split audio archives",
features=datasets.Features(
{
"key": datasets.Value("string"),
"audio": datasets.Audio(),
"dur": datasets.Value("float32"),
"txt": datasets.Value("string"),
"align": datasets.features.Sequence({
"txt": datasets.Value("string"),
"words": datasets.features.Sequence({
"word": datasets.Value("string"),
"start": datasets.Value("float32"),
"end": datasets.Value("float32"),
"score": datasets.Value("float32"),
}),
}),
}
),
supervised_keys=("audio", "txt"),
homepage="https://your-project-homepage",
license="Apache-2.0",
)
def _split_generators(self, dl_manager):
# 假设你上传的文件结构已经是这样的解压路径
# LEMAS-Dataset/train/de/de000.jsonl, de000.tar.gz ...
data_dir = dl_manager.extract("LEMAS-Dataset/train") # 或者目录路径，也可以改成dl_manager.manual_dir等
# 遍历所有语言目录
languages = [d for d in os.listdir(data_dir) if os.path.isdir(os.path.join(data_dir, d))]
all_generators = []
for lang in languages:
lang_dir = os.path.join(data_dir, lang)
jsonl_files = sorted([f for f in os.listdir(lang_dir) if f.endswith(".jsonl")])
tar_files = sorted([f for f in os.listdir(lang_dir) if f.endswith(".tar.gz")])
# 匹配jsonl和tar.gz
for jsonl_file in jsonl_files:
prefix = jsonl_file[:-6]
tar_file = prefix + ".tar.gz"
if tar_file not in tar_files:
continue
all_generators.append(
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"jsonl_path": os.path.join(lang_dir, jsonl_file),
"audio_archive_path": os.path.join(lang_dir, tar_file),
},
)
)
return all_generators
def _generate_examples(self, jsonl_path, audio_archive_path):
# 打开tar.gz文件
archive = tarfile.open(audio_archive_path, "r:gz")
members = {m.name: m for m in archive.getmembers()}
def get_audio_bytes(path_in_archive):
if path_in_archive not in members:
raise FileNotFoundError(f"Audio {path_in_archive} not found in archive {audio_archive_path}")
f = archive.extractfile(members[path_in_archive])
if f is None:
raise FileNotFoundError(f"Cannot extract {path_in_archive} from {audio_archive_path}")
return f.read()
with open(jsonl_path, "r", encoding="utf-8") as f:
for line in f:
example = json.loads(line)
audio_bytes = get_audio_bytes(example["audio"])
yield example["key"], {
"key": example["key"],
"audio": {"bytes": audio_bytes, "path": example["audio"]},
"dur": example["dur"],
"txt": example["txt"],
"align": example["align"],
}
archive.close()
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