| | """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): |
| | |
| | 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"], |
| | } |
