LibriS2S / libris2s.py
PedroDKE's picture
update dataset_info, placement of ds file and test loader script
4029de7
"""LibriS2S dataset."""
import csv
import os
from typing import Dict, List, Tuple
import datasets
_CITATION = """@inproceedings{jeuris-niehues-2022-libris2s,
title = "{L}ibri{S}2{S}: A {G}erman-{E}nglish Speech-to-Speech Translation Corpus",
author = "Jeuris, Pedro and Niehues, Jan",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
year = "2022",
url = "https://aclanthology.org/2022.lrec-1.98",
pages = "928--935"
}"""
_DESCRIPTION = """LibriS2S: A German-English Speech-to-Speech Translation Corpus"""
_HOMEPAGE = "https://huggingface.co/datasets/PedroDKE/LibriS2S"
_LICENSE = "cc-by-nc-sa-4.0"
class LibriS2S(datasets.GeneratorBasedBuilder):
"""LibriS2S dataset."""
VERSION = datasets.Version("1.0.0")
def _info(self) -> datasets.DatasetInfo:
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"book_id": datasets.Value("int64"),
"DE_audio": datasets.Audio(),
"EN_audio": datasets.Audio(),
"score": datasets.Value("float32"),
"DE_transcript": datasets.Value("string"),
"EN_transcript": datasets.Value("string"),
}
),
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
"""Returns SplitGenerators."""
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"split": "train",
"data_dir": ".",
},
),
]
def _generate_examples(self, split: str, data_dir: str) -> Tuple[int, Dict]:
"""Yields examples."""
csv_path = os.path.join(data_dir, "alignments", "all_de_en_alligned_cleaned.csv")
with open(csv_path, encoding="utf-8") as f:
reader = csv.DictReader(f)
for idx, row in enumerate(reader):
# Handle paths for both DE and EN audio
de_audio_path = os.path.join(data_dir, row["DE_audio"])
en_audio_path = os.path.join(data_dir, row["EN_audio"])
yield idx, {
"book_id": int(row["book_id"]),
"DE_audio": de_audio_path,
"EN_audio": en_audio_path,
"score": float(row["score"]),
"DE_transcript": row["DE_transcript"],
"EN_transcript": row["EN_transcript"],
}