|
from collections import defaultdict |
|
import os |
|
import json |
|
import csv |
|
csv.field_size_limit(100000000) |
|
|
|
import datasets |
|
|
|
_NAME="commonvoice_benchmark_catalan_accents" |
|
_VERSION="1.0.0" |
|
_AUDIO_EXTENSIONS=".mp3" |
|
|
|
_DESCRIPTION = """ |
|
A new presentation of the corpus Catalan Common Voice v17.0 - metadata annotated version with the splits redefined to benchmark ASR models with various Catalan accent |
|
""" |
|
|
|
_CITATION = """ |
|
@misc{armentanoaccents2024, |
|
title={Common Voice Benchmark Catalan Accents}, |
|
author={Armentano, Carme}, |
|
publisher={Barcelona Supercomputing Center} |
|
year={2024}, |
|
url={https://huggingface.co/datasets/projecte-aina/commonvoice_benchmark_catalan_accents}, |
|
} |
|
""" |
|
|
|
_HOMEPAGE = "https://huggingface.co/datasets/projecte-aina/commonvoice_benchmark_catalan_accents" |
|
|
|
_LICENSE = "CC-BY-4.0, See https://creativecommons.org/licenses/by/4.0/" |
|
|
|
_BASE_DATA_DIR = "corpus/" |
|
|
|
_METADATA_TRAIN = os.path.join(_BASE_DATA_DIR,"files","train.tsv") |
|
|
|
_METADATA_BALEARIC_FEM = os.path.join(_BASE_DATA_DIR,"files","balearic_female.tsv") |
|
_METADATA_BALEARIC_MALE = os.path.join(_BASE_DATA_DIR,"files","balearic_male.tsv") |
|
|
|
_METADATA_CENTRAL_FEMALE = os.path.join(_BASE_DATA_DIR,"files","central_female.tsv") |
|
_METADATA_CENTRAL_MALE = os.path.join(_BASE_DATA_DIR,"files","central_male.tsv") |
|
|
|
_METADATA_NORTHERN_FEMALE = os.path.join(_BASE_DATA_DIR,"files","northern_female.tsv") |
|
_METADATA_NORTHERN_MALE = os.path.join(_BASE_DATA_DIR,"files","northern_male.tsv") |
|
|
|
_METADATA_NORTHWESTERN_FEMALE = os.path.join(_BASE_DATA_DIR,"files","northwestern_female.tsv") |
|
_METADATA_NORTHWESTERN_MALE = os.path.join(_BASE_DATA_DIR,"files","northwestern_male.tsv") |
|
|
|
_METADATA_VALENCIAN_FEMALE = os.path.join(_BASE_DATA_DIR,"files","valencian_female.tsv") |
|
_METADATA_VALENCIAN_MALE = os.path.join(_BASE_DATA_DIR,"files","valencian_male.tsv") |
|
|
|
_TARS_REPO = os.path.join(_BASE_DATA_DIR,"files","tars_repo.paths") |
|
|
|
class CommonVoiceBenchmarkCatalanAccentsConfig(datasets.BuilderConfig): |
|
"""BuilderConfig for The Common Voice Benchmark Catalan Accents""" |
|
|
|
def __init__(self, name, **kwargs): |
|
name=_NAME |
|
super().__init__(name=name, **kwargs) |
|
|
|
class CommonVoiceBenchmarkCatalanAccents(datasets.GeneratorBasedBuilder): |
|
"""Common Voice Benchmark Catalan Accents""" |
|
|
|
VERSION = datasets.Version(_VERSION) |
|
BUILDER_CONFIGS = [ |
|
CommonVoiceBenchmarkCatalanAccentsConfig( |
|
name=_NAME, |
|
version=datasets.Version(_VERSION), |
|
) |
|
] |
|
|
|
def _info(self): |
|
features = datasets.Features( |
|
{ |
|
"audio": datasets.Audio(sampling_rate=16000), |
|
"client_id": datasets.Value("string"), |
|
"path": datasets.Value("string"), |
|
"sentence": datasets.Value("string"), |
|
"up_votes": datasets.Value("int32"), |
|
"down_votes": datasets.Value("int32"), |
|
"age": datasets.Value("string"), |
|
"gender": datasets.Value("string"), |
|
"accents": datasets.Value("string"), |
|
"variant": datasets.Value("string"), |
|
"locale": datasets.Value("string"), |
|
"segment": datasets.Value("string"), |
|
"mean quality": datasets.Value("string"), |
|
"stdev quality": datasets.Value("string"), |
|
"annotated_accent": datasets.Value("string"), |
|
"annotated_accent_agreement": datasets.Value("string"), |
|
"annotated_gender": datasets.Value("string"), |
|
"annotated_gender_agreement": datasets.Value("string"), |
|
"propagated_gender": datasets.Value("string"), |
|
"propagated_accents": datasets.Value("string"), |
|
"propagated_accents_norm": datasets.Value("string"), |
|
"variant_norm": datasets.Value("string"), |
|
"assigned_accent": datasets.Value("string"), |
|
"assigned_gender": datasets.Value("string"), |
|
"duration": datasets.Value("float32"), |
|
} |
|
) |
|
return datasets.DatasetInfo( |
|
description=_DESCRIPTION, |
|
features=features, |
|
homepage=_HOMEPAGE, |
|
license=_LICENSE, |
|
citation=_CITATION, |
|
) |
|
|
|
def _split_generators(self, dl_manager): |
|
|
|
metadata_train=dl_manager.download_and_extract(_METADATA_TRAIN) |
|
|
|
metadata_balearic_fem=dl_manager.download_and_extract(_METADATA_BALEARIC_FEM) |
|
metadata_balearic_male=dl_manager.download_and_extract(_METADATA_BALEARIC_MALE) |
|
|
|
metadata_central_female=dl_manager.download_and_extract(_METADATA_CENTRAL_FEMALE) |
|
metadata_central_male=dl_manager.download_and_extract(_METADATA_CENTRAL_MALE) |
|
|
|
metadata_northern_female=dl_manager.download_and_extract(_METADATA_NORTHERN_FEMALE) |
|
metadata_northern_male=dl_manager.download_and_extract(_METADATA_NORTHWESTERN_MALE) |
|
|
|
metadata_northwestern_female=dl_manager.download_and_extract(_METADATA_NORTHWESTERN_FEMALE) |
|
metadata_northwestern_male=dl_manager.download_and_extract(_METADATA_NORTHWESTERN_MALE) |
|
|
|
metadata_valencian_female=dl_manager.download_and_extract(_METADATA_VALENCIAN_FEMALE) |
|
metadata_valencian_male=dl_manager.download_and_extract(_METADATA_VALENCIAN_MALE) |
|
|
|
tars_repo=dl_manager.download_and_extract(_TARS_REPO) |
|
|
|
hash_tar_files=defaultdict(dict) |
|
|
|
with open(tars_repo,'r') as f: |
|
hash_tar_files['train']=[path.replace('\n','') for path in f] |
|
|
|
with open(tars_repo,'r') as f: |
|
hash_tar_files['balearic_fem']=[path.replace('\n','') for path in f] |
|
with open(tars_repo,'r') as f: |
|
hash_tar_files['balearic_male']=[path.replace('\n','') for path in f] |
|
|
|
with open(tars_repo,'r') as f: |
|
hash_tar_files['central_female']=[path.replace('\n','') for path in f] |
|
with open(tars_repo,'r') as f: |
|
hash_tar_files['central_male']=[path.replace('\n','') for path in f] |
|
|
|
with open(tars_repo,'r') as f: |
|
hash_tar_files['northern_female']=[path.replace('\n','') for path in f] |
|
with open(tars_repo,'r') as f: |
|
hash_tar_files['northern_male']=[path.replace('\n','') for path in f] |
|
|
|
with open(tars_repo,'r') as f: |
|
hash_tar_files['northwestern_female']=[path.replace('\n','') for path in f] |
|
with open(tars_repo,'r') as f: |
|
hash_tar_files['northwestern_male']=[path.replace('\n','') for path in f] |
|
|
|
with open(tars_repo,'r') as f: |
|
hash_tar_files['valencian_female']=[path.replace('\n','') for path in f] |
|
with open(tars_repo,'r') as f: |
|
hash_tar_files['valencian_male']=[path.replace('\n','') for path in f] |
|
|
|
hash_meta_paths={"train":metadata_train, |
|
"balearic_fem":metadata_balearic_fem, |
|
"balearic_male":metadata_balearic_male, |
|
"central_female":metadata_central_female, |
|
"central_male":metadata_central_male, |
|
"northern_female":metadata_northern_female, |
|
"northern_male":metadata_northern_male, |
|
"northwestern_female":metadata_northwestern_female, |
|
"northwestern_male":metadata_northwestern_male, |
|
"valencian_female":metadata_valencian_female, |
|
"valencian_male":metadata_valencian_male} |
|
|
|
audio_paths = dl_manager.download(hash_tar_files) |
|
|
|
splits=["train","balearic_fem","balearic_male","central_female","central_male","northern_female", |
|
"northern_male","northwestern_female","northwestern_male","valencian_female","valencian_male"] |
|
local_extracted_audio_paths = ( |
|
dl_manager.extract(audio_paths) if not dl_manager.is_streaming else |
|
{ |
|
split:[None] * len(audio_paths[split]) for split in splits |
|
} |
|
) |
|
|
|
return [ |
|
datasets.SplitGenerator( |
|
name="train", |
|
gen_kwargs={ |
|
"audio_archives":[dl_manager.iter_archive(archive) for archive in audio_paths["train"]], |
|
"local_extracted_archives_paths": local_extracted_audio_paths["train"], |
|
"metadata_paths": hash_meta_paths["train"], |
|
} |
|
), |
|
datasets.SplitGenerator( |
|
name="balearic_fem", |
|
gen_kwargs={ |
|
"audio_archives":[dl_manager.iter_archive(archive) for archive in audio_paths["balearic_fem"]], |
|
"local_extracted_archives_paths": local_extracted_audio_paths["balearic_fem"], |
|
"metadata_paths": hash_meta_paths["balearic_fem"], |
|
} |
|
), |
|
datasets.SplitGenerator( |
|
name="balearic_male", |
|
gen_kwargs={ |
|
"audio_archives": [dl_manager.iter_archive(archive) for archive in audio_paths["balearic_male"]], |
|
"local_extracted_archives_paths": local_extracted_audio_paths["balearic_male"], |
|
"metadata_paths": hash_meta_paths["balearic_male"], |
|
} |
|
), |
|
datasets.SplitGenerator( |
|
name="central_female", |
|
gen_kwargs={ |
|
"audio_archives": [dl_manager.iter_archive(archive) for archive in audio_paths["central_female"]], |
|
"local_extracted_archives_paths": local_extracted_audio_paths["central_female"], |
|
"metadata_paths": hash_meta_paths["central_female"], |
|
} |
|
), |
|
datasets.SplitGenerator( |
|
name="central_male", |
|
gen_kwargs={ |
|
"audio_archives":[dl_manager.iter_archive(archive) for archive in audio_paths["central_male"]], |
|
"local_extracted_archives_paths": local_extracted_audio_paths["central_male"], |
|
"metadata_paths": hash_meta_paths["central_male"], |
|
} |
|
), |
|
datasets.SplitGenerator( |
|
name="northern_female", |
|
gen_kwargs={ |
|
"audio_archives": [dl_manager.iter_archive(archive) for archive in audio_paths["northern_female"]], |
|
"local_extracted_archives_paths": local_extracted_audio_paths["northern_female"], |
|
"metadata_paths": hash_meta_paths["northern_female"], |
|
} |
|
), |
|
datasets.SplitGenerator( |
|
name="northern_male", |
|
gen_kwargs={ |
|
"audio_archives": [dl_manager.iter_archive(archive) for archive in audio_paths["northern_male"]], |
|
"local_extracted_archives_paths": local_extracted_audio_paths["northern_male"], |
|
"metadata_paths": hash_meta_paths["northern_male"], |
|
} |
|
), |
|
datasets.SplitGenerator( |
|
name="northwestern_female", |
|
gen_kwargs={ |
|
"audio_archives": [dl_manager.iter_archive(archive) for archive in audio_paths["northwestern_female"]], |
|
"local_extracted_archives_paths": local_extracted_audio_paths["northwestern_female"], |
|
"metadata_paths": hash_meta_paths["northwestern_female"], |
|
} |
|
), |
|
datasets.SplitGenerator( |
|
name="northwestern_male", |
|
gen_kwargs={ |
|
"audio_archives": [dl_manager.iter_archive(archive) for archive in audio_paths["northwestern_male"]], |
|
"local_extracted_archives_paths": local_extracted_audio_paths["northwestern_male"], |
|
"metadata_paths": hash_meta_paths["northwestern_male"], |
|
} |
|
), |
|
datasets.SplitGenerator( |
|
name="valencian_female", |
|
gen_kwargs={ |
|
"audio_archives": [dl_manager.iter_archive(archive) for archive in audio_paths["valencian_female"]], |
|
"local_extracted_archives_paths": local_extracted_audio_paths["valencian_female"], |
|
"metadata_paths": hash_meta_paths["valencian_female"], |
|
} |
|
), |
|
datasets.SplitGenerator( |
|
name="valencian_male", |
|
gen_kwargs={ |
|
"audio_archives": [dl_manager.iter_archive(archive) for archive in audio_paths["valencian_male"]], |
|
"local_extracted_archives_paths": local_extracted_audio_paths["valencian_male"], |
|
"metadata_paths": hash_meta_paths["valencian_male"], |
|
} |
|
), |
|
] |
|
|
|
def _generate_examples(self, audio_archives, local_extracted_archives_paths, metadata_paths): |
|
|
|
features = ["client_id","sentence","up_votes","down_votes","age","gender", |
|
"accents","variant","locale","segment","mean quality","stdev quality", |
|
"annotated_accent","annotated_accent_agreement","annotated_gender", |
|
"annotated_gender_agreement","propagated_gender","propagated_accents", |
|
"propagated_accents_norm","variant_norm","assigned_accent","assigned_gender", |
|
"duration","path"] |
|
|
|
with open(metadata_paths) as f: |
|
metadata = {x["path"]: x for x in csv.DictReader(f, delimiter="\t")} |
|
|
|
for audio_archive, local_extracted_archive_path in zip(audio_archives, local_extracted_archives_paths): |
|
for audio_filename, audio_file in audio_archive: |
|
audio_id =os.path.splitext(os.path.basename(audio_filename))[0] |
|
audio_id=audio_id+_AUDIO_EXTENSIONS |
|
path = os.path.join(local_extracted_archive_path, audio_filename) if local_extracted_archive_path else audio_filename |
|
|
|
try: |
|
yield audio_id, { |
|
"path": audio_id, |
|
**{feature: metadata[audio_id][feature] for feature in features}, |
|
"audio": {"path": path, "bytes": audio_file.read()}, |
|
} |
|
except: |
|
continue |
|
|
|
|
