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""" AfriSpeech-200 Dataset""" |
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import csv |
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import os |
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import json |
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import datasets |
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from datasets.utils.py_utils import size_str |
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from tqdm import tqdm |
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from .accent_stats import ACCENT_STATS |
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_CITATION = """ TBD """ |
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_DESCRIPTION = """\ |
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AFRISPEECH-200 is a 200hr Pan-African speech corpus for clinical and general domain English accented ASR; |
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a dataset with 120 African accents from 13 countries and 2,463 unique African speakers. |
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Our goal is to raise awareness for and advance Pan-African English ASR research, |
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especially for the clinical domain. |
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""" |
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ACCENT_MAPPER = { |
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'akan (fante)': 'akan-fante', |
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'igbo and yoruba': 'igbo-and-yoruba', |
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'ijaw(nembe)': 'ijaw-nembe', |
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'luganda and kiswahili': 'luganda-and-kiswahili', |
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'luo, swahili': 'luo-swahili', |
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'nasarawa eggon': 'nasarawa-eggon', |
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'south african english': 'south-african-english', |
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'southern sotho': 'southern-sotho', |
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'swahili ,luganda ,arabic': 'swahili-luganda-arabic', |
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'venda and xitsonga': 'venda-and-xitsonga', |
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'yala mbembe': 'yala-mbembe', |
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'yoruba, hausa': 'yoruba-hausa' |
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} |
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ACCENT_MAPPER_REVERSED = {v:k for k,v in ACCENT_MAPPER.items()} |
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_ALL_CONFIGS = [ |
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'yoruba', 'igbo', 'swahili', 'ijaw', 'xhosa', 'twi', 'luhya', |
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'igala', 'urhobo', 'hausa', 'kiswahili', 'zulu', 'isizulu', |
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'venda and xitsonga', 'borana', 'afrikaans', 'setswana', 'idoma', |
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'izon', 'chichewa', 'ebira', 'tshivenda', 'isixhosa', |
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'kinyarwanda', 'tswana', 'luganda', 'luo', 'venda', 'dholuo', |
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'akan (fante)', 'sepedi', 'kikuyu', 'isindebele', |
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'luganda and kiswahili', 'akan', 'sotho', 'south african english', |
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'sesotho', 'swahili ,luganda ,arabic', 'shona', 'damara', |
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'southern sotho', 'luo, swahili', 'ateso', 'meru', 'siswati', |
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'portuguese', 'esan', 'nasarawa eggon', 'ibibio', 'isoko', |
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'pidgin', 'alago', 'nembe', 'ngas', 'kagoma', 'ikwere', 'fulani', |
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'bette', 'efik', 'edo', 'hausa/fulani', 'bekwarra', 'epie', |
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'afemai', 'benin', 'nupe', 'tiv', 'okrika', 'etsako', 'ogoni', |
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'kubi', 'gbagyi', 'brass', 'oklo', 'ekene', 'ika', 'berom', 'jaba', |
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'itsekiri', 'ukwuani', 'yala mbembe', 'afo', 'english', 'ebiobo', |
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'igbo and yoruba', 'okirika', 'kalabari', 'ijaw(nembe)', 'anaang', |
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'eggon', 'bini', 'yoruba, hausa', 'ekpeye', 'bajju', 'kanuri', |
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'delta', 'khana', 'ogbia', 'mada', 'mwaghavul', 'angas', 'ikulu', |
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'eleme', 'igarra', 'etche', 'agatu', 'bassa', 'jukun', 'urobo', |
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'ibani', 'obolo', 'idah', 'eket', 'nyandang', 'estako', 'ishan', |
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'bassa-nge/nupe', 'bagi', 'gerawa' |
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] |
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_HOMEPAGE = "https://github.com/intron-innovation/AfriSpeech-Dataset-Paper" |
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_LICENSE = "http://creativecommons.org/licenses/by-nc-sa/4.0/" |
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_AUDIO_URL = "audio/{accent}/{split}/{split}_{accent}_{shard_idx}.tar.gz" |
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_AUDIO_URL_ALL = "audio/{split}/{split}_{shard_idx}.tar.gz" |
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_TRANSCRIPT_URL = "transcripts/{accent}/{split}.csv" |
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_TRANSCRIPT_URL_ALL = "transcripts/{split}.csv" |
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_N_SHARDS_URL = "accents.json" |
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_SHARDS = { |
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'train': 35, |
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'dev': 2, |
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'test': 4 |
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} |
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class AfriSpeechConfig(datasets.BuilderConfig): |
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"""BuilderConfig for afrispeech""" |
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def __init__( |
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self, accent, **kwargs |
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): |
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self.name = accent |
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self.homepage = _HOMEPAGE |
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self.num_clips = kwargs.pop("num_clips", None) |
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self.num_speakers = kwargs.pop("num_speakers", None) |
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self.duration_secs = kwargs.pop("duration", None) |
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description = ( |
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f"AfriSpeech dataset in {accent} accent(s) with {self.num_clips} clips " |
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f"{self.num_speakers} speakers and {self.duration_secs} seconds" |
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) |
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super(AfriSpeechConfig, self).__init__( |
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name=self.name, |
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version=datasets.Version("1.0.0", ""), |
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description=description, |
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**kwargs, |
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) |
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def _build_config(accent): |
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return AfriSpeechConfig( |
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accent=accent, |
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num_clips=ACCENT_STATS[accent]["num_clips"] if ACCENT_STATS[accent]["num_clips"] else None, |
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num_speakers=ACCENT_STATS[accent]["num_speakers"] if ACCENT_STATS[accent]["num_speakers"] else None, |
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duration=round(ACCENT_STATS[accent]["duration"], 2) if ACCENT_STATS[accent]["duration"] else None, |
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) |
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class AfriSpeech(datasets.GeneratorBasedBuilder): |
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DEFAULT_WRITER_BATCH_SIZE = 1000 |
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VERSION = datasets.Version("1.0.0") |
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BUILDER_CONFIGS = [_build_config(name) for name in list(ACCENT_STATS.keys()) + ["all"]] |
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def _info(self): |
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description = _DESCRIPTION |
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features = datasets.Features( |
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{ |
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"speaker_id": datasets.Value("string"), |
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"path": datasets.Value("string"), |
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"audio_id": datasets.Value("string"), |
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"audio": datasets.features.Audio(sampling_rate=44_100), |
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"transcript": datasets.Value("string"), |
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"age_group": datasets.Value("string"), |
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"gender": datasets.Value("string"), |
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"accent": datasets.Value("string"), |
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"domain": datasets.Value("string"), |
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"country": datasets.Value("string"), |
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"duration": datasets.Value("float"), |
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} |
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) |
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return datasets.DatasetInfo( |
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description=description, |
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features=features, |
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supervised_keys=None, |
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homepage=_HOMEPAGE, |
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license=_LICENSE, |
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citation=_CITATION, |
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version=self.VERSION, |
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) |
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def _split_generators(self, dl_manager): |
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"""Returns SplitGenerators.""" |
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accent = self.config.name |
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n_shards = _SHARDS |
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audio_urls = {} |
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splits = ("train", "dev") |
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for split in splits: |
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if accent == 'all': |
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audio_urls[split] = [ |
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_AUDIO_URL_ALL.format(split=split, shard_idx=i) for i in range(_SHARDS[split]) |
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] |
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else: |
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audio_urls[split] = [ |
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_AUDIO_URL.format(accent=accent, split=split, |
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shard_idx=i) for i in range(ACCENT_STATS[accent][split]['shards']) |
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] |
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archive_paths = dl_manager.download(audio_urls) |
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local_extracted_archive_paths = dl_manager.extract(archive_paths) if not dl_manager.is_streaming else {} |
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if accent == 'all': |
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meta_urls = {split: _TRANSCRIPT_URL_ALL.format(split=split) for split in splits} |
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else: |
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meta_urls = {split: _TRANSCRIPT_URL.format(accent=accent, split=split) for split in splits} |
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meta_paths = dl_manager.download_and_extract(meta_urls) |
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split_generators = [] |
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split_names = { |
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"train": datasets.Split.TRAIN, |
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"dev": datasets.Split.VALIDATION, |
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} |
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for split in splits: |
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split_generators.append( |
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datasets.SplitGenerator( |
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name=split_names.get(split, split), |
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gen_kwargs={ |
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"local_extracted_archive_paths": local_extracted_archive_paths.get(split), |
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"archives": [dl_manager.iter_archive(path) for path in archive_paths.get(split)], |
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"meta_path": meta_paths[split], |
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}, |
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), |
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) |
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return split_generators |
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def _generate_examples(self, local_extracted_archive_paths, archives, meta_path): |
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"""Yields examples as (key, example) tuples.""" |
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data_fields = [key for key in self._info().features.keys() if key not in ["audio", "path"]] |
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metadata = {} |
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with open(meta_path, "r", encoding="utf-8") as f: |
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reader = csv.DictReader(f) |
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for row in tqdm(reader, desc="Reading metadata..."): |
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accent = ACCENT_MAPPER_REVERSED.get(self.config.name, self.config.name) |
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if (row['accent'] == accent) or (accent == 'all'): |
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row["speaker_id"] = row["user_ids"] |
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audio_id = "/".join(row["audio_paths"].split("/")[-2:]) |
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metadata[audio_id] = {field: row.get(field, "") for field in data_fields} |
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for i, audio_archive in enumerate(archives): |
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for filename, file in audio_archive: |
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filename = "/".join(filename.split("/")[-2:]) |
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if filename in metadata: |
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result = dict(metadata[filename]) |
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path = os.path.join(local_extracted_archive_paths[i], filename) if local_extracted_archive_paths else filename |
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result["audio"] = {"path": path, "bytes": file.read()} |
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result["audio_id"] = filename.replace(".wav", "") |
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result["path"] = path if local_extracted_archive_paths else filename |
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yield path, result |
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