testds1 / dataset.py
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import datasets
import tarfile
import io
import json
import soundfile as sf
import os
from pathlib import Path
class TestDS1(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("1.0.0")
def _info(self):
return datasets.DatasetInfo(
description="Dataset of audiobook chunks with audio and metadata from multiple books.",
features=datasets.Features(
{
"audio": datasets.Audio(sampling_rate=16000), # Use datasets.Audio
"audio_path": datasets.Value("string"),
"start_seconds": datasets.Value("float32"),
"end_seconds": datasets.Value("float32"),
"duration_seconds": datasets.Value("float32"),
"text": datasets.Value("string"),
"book_id": datasets.Value("string"),
}
),
supervised_keys=None,
homepage="https://huggingface.co/datasets/jtarjanyi/testds1",
citation="",
)
def _split_generators(self, dl_manager):
base_url = "https://huggingface.co/datasets/jtarjanyi/testds1/resolve/main"
book_folders = ["Buszkeseg_1"] # Update with actual folder names
tar_paths = {}
for book in book_folders:
tar_url = f"{base_url}/{book}/chunks.tar"
print(f"Downloading tar file: {tar_url}")
tar_paths[book] = dl_manager.download(tar_url)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={"tar_paths": tar_paths},
),
]
def _generate_examples(self, tar_paths):
idx = 0
for book_id, tar_path in tar_paths.items():
print(f"Processing tar file for book: {book_id} at {tar_path}")
try:
with tarfile.open(tar_path, "r") as tar:
json_files = sorted([f.name for f in tar.getmembers() if f.name.endswith(".json")])
print(f"Found {len(json_files)} JSON files in {book_id}")
for json_filename in json_files:
try:
json_file = tar.extractfile(json_filename)
if json_file is None:
print(f"Skipping {json_filename}: Could not extract from {tar_path}")
continue
json_data = json.load(json_file)
print(f"Loaded JSON: {json_filename}")
wav_filename = json_data["audio_path"]
if not wav_filename.endswith(".wav"):
print(f"Skipping {wav_filename}: Invalid audio path in {json_filename}")
continue
try:
wav_member = tar.getmember(wav_filename)
except KeyError:
print(f"Skipping {wav_filename}: Not found in {tar_path}")
continue
wav_file = tar.extractfile(wav_member)
if wav_file is None:
print(f"Skipping {wav_filename}: Could not extract from {tar_path}")
continue
wav_bytes = wav_file.read()
print(f"Extracted {wav_filename}: {len(wav_bytes)} bytes")
wav_io = io.BytesIO(wav_bytes)
_, sampling_rate = sf.read(wav_io)
print(f"Sampling rate for {wav_filename}: {sampling_rate}")
yield idx, {
"audio": {"bytes": wav_bytes, "sampling_rate": sampling_rate},
"audio_path": wav_filename,
"start_seconds": json_data["start_seconds"],
"end_seconds": json_data["end_seconds"],
"duration_seconds": json_data["duration_seconds"],
"text": json_data["text"],
"book_id": book_id,
}
idx += 1
except Exception as e:
print(f"Error processing {json_filename} in {tar_path}: {str(e)}")
continue
except Exception as e:
print(f"Error opening tar file {tar_path}: {str(e)}")
continue