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asr_nepali.py

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+# 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/SonishMaharjan/male-female/upload/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="ne-NP",
+            version="0.01",
+            language="ne-NP",
+            release_date="22nov2023",
+        )
+    ]
+
+    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. "
+        )
+        features = datasets.Features(
+            {
+                
+                "path": datasets.Value("string"),
+                "audio": datasets.features.Audio(sampling_rate=48_000),
+                "sentence": datasets.Value("string"),
+                
+            }
+        )
+
+        return datasets.DatasetInfo(
+            description=description,
+            features=features,
+            supervised_keys=None,
+            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", "test")
+        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,
+            "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(".wav"):
+                    row["path"] += ".wav"
+                # 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

count_n_shards.py

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+from pathlib import Path
+import json
+
+
+splits = ["train","test"]
+
+if __name__ == "__main__":
+    n_files = {}
+    lang_dirs = [d for d in Path("audio").iterdir() if d.is_dir()]
+    for lang_dir in lang_dirs:
+        lang = lang_dir.name
+        n_files[lang] = {}
+        for split in splits:
+            split_dir = lang_dir / split
+            if split_dir.exists():
+                n_files_per_split = len(list(split_dir.glob("*.tar")))
+            else:
+                n_files_per_split = 0
+            n_files[lang][split] = n_files_per_split
+
+    with open("n_shards.json", "w") as f:
+        json.dump(dict(sorted(n_files.items(), key=lambda x: x[0])), f, ensure_ascii=False, indent=4)

languages.py

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+LANGUAGES = {'ne-NP': 'Nepali'}

n_shards.json

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+{
+    "ne-NP": {
+        "train": 1,
+        "test": 1
+    }
+}

release_stats.py

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+STATS = {'bundleURLTemplate': 'cv-corpus-11.0-2022-09-21/cv-corpus-11.0-2022-09-21-{locale}.tar.gz', 'date': '2022-09-21', 'name': 'Common Voice Corpus 11.0', 'multilingual': True, 'locales': {'en': {'duration': 11152496587, 'buckets': {'dev': 16354, 'invalidated': 252599, 'other': 290846, 'reported': 4366, 'test': 16354, 'train': 948736, 'validated': 1618225}, 'reportedSentences': 4294, 'clips': 2161670, 'splits': {'accent': {'': 1}, 'age': {'': 0.37, 'twenties': 0.24, 'sixties': 0.04, 'thirties': 0.13, 'teens': 0.06, 'seventies': 0.01, 'fourties': 0.1, 'fifties': 0.05, 'eighties': 0, 'nineties': 0}, 'gender': {'': 0.37, 'male': 0.45, 'female': 0.15, 'other': 0.02}}, 'users': 84673, 'size': 79751937788, 'checksum': '0efd86ca6b40641b55d1411b7d3b1f1ab8626de4b207504953706df201d198a5', 'avgDurationSecs': 5.159, 'validDurationSecs': 8348752.95, 'totalHrs': 3097.91, 'validHrs': 2319.09}, 'fa': {'buckets': {'dev': 10288, 'invalidated': 13793, 'other': 24401, 'reported': 2168, 'test': 10288, 'train': 26951, 'validated': 309996}, 'reportedSentences': 2159, 'duration': 1392397316, 'clips': 348190, 'splits': {'accent': {'': 1}, 'age': {'': 0.25, 'twenties': 0.31, 'thirties': 0.37, 'fifties': 0.02, 'fourties': 0.03, 'teens': 0.03, 'sixties': 0}, 'gender': {'': 0.22, 'male': 0.71, 'female': 0.07, 'other': 0}}, 'users': 4124, 'size': 10237548588, 'checksum': 'e40247da130302d1dd71e5f25742a0f2f61e8627e7b674c13294967a23f6cf47', 'avgDurationSecs': 3.999, 'validDurationSecs': 1239661.1, 'totalHrs': 386.77, 'validHrs': 344.35}, 'fr': {'buckets': {'dev': 16089, 'invalidated': 57607, 'other': 14359, 'reported': 6586, 'test': 16089, 'train': 485034, 'validated': 652051}, 'reportedSentences': 6510, 'duration': 3623103766, 'clips': 724017, 'splits': {'accent': {'': 1}, 'age': {'twenties': 0.17, 'thirties': 0.16, '': 0.36, 'teens': 0.03, 'fourties': 0.14, 'fifties': 0.1, 'sixties': 0.03, 'seventies': 0.01, 'eighties': 0, 'nineties': 0}, 'gender': {'male': 0.61, '': 0.28, 'female': 0.1, 'other': 0.01}}, 'users': 16785, 'size': 25947906602, 'checksum': 'f763f9b1817280cd37db4d4161a9afc76257024d5bb54951a5987464e1e2ebb4', 'avgDurationSecs': 5.004, 'validDurationSecs': 3262973.706, 'totalHrs': 1006.41, 'validHrs': 906.38}, 'es': {'buckets': {'dev': 15520, 'invalidated': 52095, 'other': 1180383, 'reported': 2033, 'test': 15520, 'train': 230467, 'validated': 305875}, 'reportedSentences': 2019, 'duration': 7475216238, 'clips': 1538353, 'splits': {'accent': {'': 1}, 'age': {'thirties': 0.1, '': 0.13, 'fifties': 0.04, 'twenties': 0.56, 'teens': 0.08, 'fourties': 0.03, 'sixties': 0.06, 'eighties': 0, 'seventies': 0, 'nineties': 0}, 'gender': {'male': 0.54, '': 0.13, 'other': 0, 'female': 0.33}}, 'users': 24516, 'size': 47288212406, 'checksum': '319ae22d17dc2158322bb189a4938faba0debe653b611a325ee80c672be277a1', 'avgDurationSecs': 4.859, 'validDurationSecs': 1486318.008, 'totalHrs': 2076.44, 'validHrs': 412.86}, 'sl': {'buckets': {'dev': 1206, 'invalidated': 251, 'other': 1562, 'reported': 34, 'test': 1207, 'train': 1423, 'validated': 9590}, 'reportedSentences': 35, 'duration': 43522354, 'clips': 11403, 'splits': {'accent': {'': 1}, 'age': {'twenties': 0.51, 'teens': 0.08, '': 0.2, 'sixties': 0.07, 'fifties': 0.07, 'fourties': 0.02, 'thirties': 0.05}, 'gender': {'female': 0.16, 'male': 0.64, '': 0.2, 'other': 0}}, 'users': 138, 'size': 309245843, 'checksum': 'acbbccd20450efbfb100ab1f5fd0484756d761a3300d1e5eaf8fd403a56f5bbf', 'avgDurationSecs': 3.817, 'validDurationSecs': 36602.594, 'totalHrs': 12.08, 'validHrs': 10.16}, 'kab': {'buckets': {'dev': 14994, 'invalidated': 19492, 'other': 110003, 'reported': 8947, 'test': 14994, 'train': 151534, 'validated': 608713}, 'reportedSentences': 8942, 'duration': 2462033464, 'clips': 738208, 'splits': {'accent': {'': 1}, 'age': {'fourties': 0.09, 'thirties': 0.29, '': 0.28, 'fifties': 0.19, 'twenties': 0.12, 'eighties': 0, 'teens': 0, 'sixties': 0.03, 'seventies': 0}, 'gender': {'male': 0.54, '': 0.26, 'female': 0.2, 'other': 0}}, 'users': 1496, 'size': 18395506381, 'checksum': '09e61eddb933a73606af153a5ed9394390f531093d79b004d27635ee79ecd95b', 'avgDurationSecs': 3.335, 'validDurationSecs': 2030148.381, 'totalHrs': 683.89, 'validHrs': 563.93}, 'cy': {'buckets': {'dev': 5247, 'invalidated': 4337, 'other': 18730, 'reported': 156, 'test': 5266, 'train': 7726, 'validated': 88378}, 'reportedSentences': 157, 'duration': 541540989, 'clips': 111445, 'splits': {'accent': {'': 1}, 'age': {'fourties': 0.16, 'twenties': 0.13, 'sixties': 0.06, 'fifties': 0.09, '': 0.43, 'thirties': 0.09, 'seventies': 0.01, 'eighties': 0, 'teens': 0.02}, 'gender': {'male': 0.33, 'female': 0.24, '': 0.41, 'other': 0.01}}, 'users': 1723, 'size': 3980577087, 'checksum': 'b1a5d115e0b65bcab23e1fbbc170ed3b61d74aeba506720202d8b732089136cd', 'avgDurationSecs': 4.859, 'validDurationSecs': 429452.282, 'totalHrs': 150.42, 'validHrs': 119.29}, 'ca': {'buckets': {'dev': 16340, 'invalidated': 76690, 'other': 481402, 'reported': 5357, 'test': 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'nineties': 0}, 'gender': {'male': 0.59, '': 0.32, 'female': 0.09, 'other': 0.01}}, 'users': 17226, 'size': 31626133806, 'checksum': '94a0c7aeb0d18a280380e5a568d21251ed421f093bc164c9f67d8b28dfbecaaf', 'avgDurationSecs': 5.167, 'validDurationSecs': 4164640.91, 'totalHrs': 1233.32, 'validHrs': 1156.84}, 'tt': {'buckets': {'dev': 3062, 'invalidated': 388, 'other': 252, 'reported': 3, 'test': 5124, 'train': 9778, 'validated': 28538}, 'reportedSentences': 4, 'duration': 109538738, 'clips': 29178, 'splits': {'accent': {'': 1}, 'age': {'': 0.2, 'thirties': 0.73, 'twenties': 0.05, 'sixties': 0, 'fifties': 0.01, 'teens': 0, 'fourties': 0, 'seventies': 0.01}, 'gender': {'': 0.2, 'male': 0.78, 'female': 0.02}}, 'users': 223, 'size': 809543535, 'checksum': 'e56d549c0aa66f6df596350347dd38d76778da732d3393d4b2d0281ff68cc8dc', 'avgDurationSecs': 3.754, 'validDurationSecs': 107136.079, 'totalHrs': 30.42, 'validHrs': 29.76}, 'ta': {'buckets': {'dev': 11758, 'invalidated': 5575, 'other': 87993, 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