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@@ -53,3 +53,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+transcript/pt/times.txt filter=lfs diff=lfs merge=lfs -text
+transcript/pt/validated.tsv filter=lfs diff=lfs merge=lfs -text

audio/pt/dev/pt_dev_0.tar

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audio/pt/invalidated/pt_invalidated_0.tar

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audio/pt/other/pt_other_0.tar

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audio/pt/test/pt_test_0.tar

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audio/pt/train/pt_train_0.tar

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common_voice_15_0.py

@@ -0,0 +1,200 @@
+# coding=utf-8
+# Copyright 2022 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+""" Common Voice Dataset"""
+
+
+import csv
+import os
+import json
+
+import datasets
+from datasets.utils.py_utils import size_str
+from tqdm import tqdm
+
+from .languages import LANGUAGES
+from .release_stats import STATS
+
+
+_CITATION = """\
+@inproceedings{commonvoice:2020,
+  author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
+  title = {Common Voice: A Massively-Multilingual Speech Corpus},
+  booktitle = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)},
+  pages = {4211--4215},
+  year = 2020
+}
+"""
+
+_HOMEPAGE = "https://commonvoice.mozilla.org/en/datasets"
+
+_LICENSE = "https://creativecommons.org/publicdomain/zero/1.0/"
+
+# TODO: change "streaming" to "main" after merge!
+_BASE_URL = "https://huggingface.co/datasets/fsicoli/common_voice_15_0_pt/resolve/main/"
+
+_AUDIO_URL = _BASE_URL + "audio/{lang}/{split}/{lang}_{split}_{shard_idx}.tar"
+
+_TRANSCRIPT_URL = _BASE_URL + "transcript/{lang}/{split}.tsv"
+
+_N_SHARDS_URL = _BASE_URL + "n_shards.json"
+
+
+class CommonVoiceConfig(datasets.BuilderConfig):
+    """BuilderConfig for CommonVoice."""
+
+    def __init__(self, name, version, **kwargs):
+        self.language = kwargs.pop("language", None)
+        self.release_date = kwargs.pop("release_date", None)
+        self.num_clips = kwargs.pop("num_clips", None)
+        self.num_speakers = kwargs.pop("num_speakers", None)
+        self.validated_hr = kwargs.pop("validated_hr", None)
+        self.total_hr = kwargs.pop("total_hr", None)
+        self.size_bytes = kwargs.pop("size_bytes", None)
+        self.size_human = size_str(self.size_bytes)
+        description = (
+            f"Common Voice speech to text dataset in {self.language} released on {self.release_date}. "
+            f"The dataset comprises {self.validated_hr} hours of validated transcribed speech data "
+            f"out of {self.total_hr} hours in total from {self.num_speakers} speakers. "
+            f"The dataset contains {self.num_clips} audio clips and has a size of {self.size_human}."
+        )
+        super(CommonVoiceConfig, self).__init__(
+            name=name,
+            version=datasets.Version(version),
+            description=description,
+            **kwargs,
+        )
+
+
+class CommonVoice(datasets.GeneratorBasedBuilder):
+    DEFAULT_WRITER_BATCH_SIZE = 1000
+
+    BUILDER_CONFIGS = [
+        CommonVoiceConfig(
+            name=lang,
+            version=STATS["version"],
+            language=LANGUAGES[lang],
+            release_date=STATS["date"],
+            num_clips=lang_stats["clips"],
+            num_speakers=lang_stats["users"],
+            validated_hr=float(lang_stats["validHrs"]) if lang_stats["validHrs"] else None,
+            total_hr=float(lang_stats["totalHrs"]) if lang_stats["totalHrs"] else None,
+            size_bytes=int(lang_stats["size"]) if lang_stats["size"] else None,
+        )
+        for lang, lang_stats in STATS["locales"].items()
+    ]
+
+    def _info(self):
+        total_languages = len(STATS["locales"])
+        total_valid_hours = STATS["totalValidHrs"]
+        description = (
+            "Common Voice is Mozilla's initiative to help teach machines how real people speak. "
+            f"The dataset currently consists of {total_valid_hours} validated hours of speech "
+            f" in {total_languages} languages, but more voices and languages are always added."
+        )
+        features = datasets.Features(
+            {
+                "client_id": datasets.Value("string"),
+                "path": datasets.Value("string"),
+                "audio": datasets.features.Audio(sampling_rate=48_000),
+                "sentence": datasets.Value("string"),
+                "up_votes": datasets.Value("int64"),
+                "down_votes": datasets.Value("int64"),
+                "age": datasets.Value("string"),
+                "gender": datasets.Value("string"),
+                "accent": datasets.Value("string"),
+                "locale": datasets.Value("string"),
+                "segment": datasets.Value("string"),
+                "variant": datasets.Value("string"),
+            }
+        )
+
+        return datasets.DatasetInfo(
+            description=description,
+            features=features,
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+            version=self.config.version,
+        )
+
+    def _split_generators(self, dl_manager):
+        lang = self.config.name
+        n_shards_path = dl_manager.download_and_extract(_N_SHARDS_URL)
+        with open(n_shards_path, encoding="utf-8") as f:
+            n_shards = json.load(f)
+
+        audio_urls = {}
+        splits = ("train", "dev", "test", "other", "invalidated")
+        for split in splits:
+            audio_urls[split] = [
+                _AUDIO_URL.format(lang=lang, split=split, shard_idx=i) for i in range(n_shards[lang][split])
+            ]
+        archive_paths = dl_manager.download(audio_urls)
+        local_extracted_archive_paths = dl_manager.extract(archive_paths) if not dl_manager.is_streaming else {}
+
+        meta_urls = {split: _TRANSCRIPT_URL.format(lang=lang, split=split) for split in splits}
+        meta_paths = dl_manager.download_and_extract(meta_urls)
+
+        split_generators = []
+        split_names = {
+            "train": datasets.Split.TRAIN,
+            "dev": datasets.Split.VALIDATION,
+            "test": datasets.Split.TEST,
+        }
+        for split in splits:
+            split_generators.append(
+                datasets.SplitGenerator(
+                    name=split_names.get(split, split),
+                    gen_kwargs={
+                        "local_extracted_archive_paths": local_extracted_archive_paths.get(split),
+                        "archives": [dl_manager.iter_archive(path) for path in archive_paths.get(split)],
+                        "meta_path": meta_paths[split],
+                    },
+                ),
+            )
+
+        return split_generators
+
+    def _generate_examples(self, local_extracted_archive_paths, archives, meta_path):
+        data_fields = list(self._info().features.keys())
+        metadata = {}
+        with open(meta_path, encoding="utf-8") as f:
+            reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
+            for row in tqdm(reader, desc="Reading metadata..."):
+                if not row["path"].endswith(".mp3"):
+                    row["path"] += ".mp3"
+                # accent -> accents in CV 8.0
+                if "accents" in row:
+                    row["accent"] = row["accents"]
+                    del row["accents"]
+                # if data is incomplete, fill with empty values
+                for field in data_fields:
+                    if field not in row:
+                        row[field] = ""
+                metadata[row["path"]] = row
+
+        for i, audio_archive in enumerate(archives):
+            for path, file in audio_archive:
+                _, filename = os.path.split(path)
+                if filename in metadata:
+                    result = dict(metadata[filename])
+                    # set the audio feature and the path to the extracted file
+                    path = os.path.join(local_extracted_archive_paths[i], path) if local_extracted_archive_paths else path
+                    result["audio"] = {"path": path, "bytes": file.read()}
+                    result["path"] = path
+                    yield path, result
+
+

languages.py

@@ -0,0 +1 @@
+LANGUAGES = {'ab': 'Abkhaz', 'ace': 'Acehnese', 'ady': 'Adyghe', 'af': 'Afrikaans', 'am': 'Amharic', 'an': 'Aragonese', 'ar': 'Arabic', 'arn': 'Mapudungun', 'as': 'Assamese', 'ast': 'Asturian', 'az': 'Azerbaijani', 'ba': 'Bashkir', 'bas': 'Basaa', 'be': 'Belarusian', 'bg': 'Bulgarian', 'bm': 'Bambara', 'bn': 'Bengali', 'bo': 'Tibetan', 'br': 'Breton', 'bs': 'Bosnian', 'bxr': 'Buryat', 'byv': 'Medumba', 'ca': 'Catalan', 'cak': 'Kaqchikel', 'ckb': 'Central Kurdish', 'cnh': 'Hakha Chin', 'co': 'Corsican', 'cs': 'Czech', 'cv': 'Chuvash', 'cy': 'Welsh', 'da': 'Danish', 'dag': 'Dagbani', 'de': 'German', 'dsb': 'Sorbian, Lower', 'dv': 'Dhivehi', 'dyu': 'Dioula', 'el': 'Greek', 'en': 'English', 'eo': 'Esperanto', 'es': 'Spanish', 'et': 'Estonian', 'eu': 'Basque', 'fa': 'Persian', 'ff': 'Fulah', 'fi': 'Finnish', 'fo': 'Faroese', 'fr': 'French', 'fy-NL': 'Frisian', 'ga-IE': 'Irish', 'gl': 'Galician', 'gn': 'Guarani', 'gom': 'Goan Konkani', 'ha': 'Hausa', 'he': 'Hebrew', 'hi': 'Hindi', 'hil': 'Hiligaynon', 'hr': 'Croatian', 'hsb': 'Sorbian, Upper', 'ht': 'Haitian', 'hu': 'Hungarian', 'hy-AM': 'Armenian', 'hyw': 'Armenian Western', 'ia': 'Interlingua', 'id': 'Indonesian', 'ie': 'Interlingue', 'ig': 'Igbo', 'is': 'Icelandic', 'it': 'Italian', 'izh': 'Izhorian', 'ja': 'Japanese', 'jbo': 'Lojban', 'ka': 'Georgian', 'kaa': 'Karakalpak', 'kab': 'Kabyle', 'kbd': 'Kabardian', 'ki': 'Kikuyu', 'kk': 'Kazakh', 'km': 'Khmer', 'kmr': 'Kurmanji Kurdish', 'kn': 'Kannada', 'knn': 'Konkani (Devanagari)', 'ko': 'Korean', 'kpv': 'Komi-Zyrian', 'kw': 'Cornish', 'ky': 'Kyrgyz', 'lb': 'Luxembourgish', 'lg': 'Luganda', 'lij': 'Ligurian', 'ln': 'Lingala', 'lo': 'Lao', 'lt': 'Lithuanian', 'lv': 'Latvian', 'mai': 'Maithili', 'mdf': 'Moksha', 'mg': 'Malagasy', 'mhr': 'Meadow Mari', 'mk': 'Macedonian', 'ml': 'Malayalam', 'mn': 'Mongolian', 'mni': 'Meetei Lon', 'mos': 'Mossi', 'mr': 'Marathi', 'mrj': 'Hill Mari', 'ms': 'Malay', 'mt': 'Maltese', 'my': 'Burmese', 'myv': 'Erzya', 'nan-tw': 'Taiwanese (Minnan)', 'nb-NO': 'Norwegian Bokmål', 'nd': 'IsiNdebele (North)', 'ne-NP': 'Nepali', 'nhe': 'Eastern Huasteca Nahuatl', 'nhi': 'Western Sierra Puebla Nahuatl', 'nia': 'Nias', 'nl': 'Dutch', 'nn-NO': 'Norwegian Nynorsk', 'nr': 'IsiNdebele (South)', 'nso': 'Northern Sotho', 'ny': 'Chinyanja', 'nyn': 'Runyankole', 'oc': 'Occitan', 'om': 'Afaan Oromo', 'or': 'Odia', 'pa-IN': 'Punjabi', 'pap-AW': 'Papiamento (Aruba)', 'pl': 'Polish', 'ps': 'Pashto', 'pt': 'Portuguese', 'quc': "K'iche'", 'quy': 'Quechua Chanka', 'rm-sursilv': 'Romansh Sursilvan', 'rm-vallader': 'Romansh Vallader', 'ro': 'Romanian', 'ru': 'Russian', 'rw': 'Kinyarwanda', 'sah': 'Sakha', 'sat': 'Santali (Ol Chiki)', 'sc': 'Sardinian', 'scn': 'Sicilian', 'sdh': 'Southern Kurdish', 'shi': 'Shilha', 'si': 'Sinhala', 'sk': 'Slovak', 'skr': 'Saraiki', 'sl': 'Slovenian', 'snk': 'Soninke', 'so': 'Somali', 'sq': 'Albanian', 'sr': 'Serbian', 'ss': 'Siswati', 'st': 'Southern Sotho', 'sv-SE': 'Swedish', 'sw': 'Swahili', 'syr': 'Syriac', 'ta': 'Tamil', 'te': 'Telugu', 'tg': 'Tajik', 'th': 'Thai', 'ti': 'Tigrinya', 'tig': 'Tigre', 'tk': 'Turkmen', 'tl': 'Tagalog', 'tn': 'Setswana', 'tok': 'Toki Pona', 'tr': 'Turkish', 'ts': 'Xitsonga', 'tt': 'Tatar', 'tw': 'Twi', 'ty': 'Tahitian', 'tyv': 'Tuvan', 'uby': 'Ubykh', 'udm': 'Udmurt', 'ug': 'Uyghur', 'uk': 'Ukrainian', 'ur': 'Urdu', 'uz': 'Uzbek', 've': 'Tshivenda', 'vec': 'Venetian', 'vi': 'Vietnamese', 'vot': 'Votic', 'wo': 'Wolof', 'xh': 'Xhosa', 'yi': 'Yiddish', 'yo': 'Yoruba', 'yue': 'Cantonese', 'zgh': 'Tamazight', 'zh-CN': 'Chinese (China)', 'zh-HK': 'Chinese (Hong Kong)', 'zh-TW': 'Chinese (Taiwan)', 'zu': 'Zulu', 'zza': 'Zaza'}

n_shards.json

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+}

release_stats.py

@@ -0,0 +1 @@
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