Karen Hambardzumyan commited on
Commit ·
420fb36
1
Parent(s): 2ba0fd9
Version 9.0
Browse files- common_voice_9_0.py +246 -0
- languages.py +1 -0
- release_stats.py +2881 -0
common_voice_9_0.py
ADDED
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| 1 |
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# coding=utf-8
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# Copyright 2021 The HuggingFace Datasets Authors and the current dataset script contributor.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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| 9 |
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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| 13 |
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# See the License for the specific language governing permissions and
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| 14 |
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# limitations under the License.
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| 15 |
+
""" Common Voice Dataset"""
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| 18 |
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import csv
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| 19 |
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import os
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import urllib
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import datasets
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import requests
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from datasets.tasks import AutomaticSpeechRecognition
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from datasets.utils.py_utils import size_str
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from huggingface_hub import HfApi, HfFolder
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| 28 |
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from .languages import LANGUAGES
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| 29 |
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from .release_stats import STATS
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| 31 |
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_CITATION = """\
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| 32 |
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@inproceedings{commonvoice:2020,
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| 33 |
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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.},
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| 34 |
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title = {Common Voice: A Massively-Multilingual Speech Corpus},
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booktitle = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)},
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| 36 |
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pages = {4211--4215},
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| 37 |
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year = 2020
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| 38 |
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}
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| 39 |
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"""
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| 40 |
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| 41 |
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_HOMEPAGE = "https://commonvoice.mozilla.org/en/datasets"
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| 42 |
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| 43 |
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_LICENSE = "https://creativecommons.org/publicdomain/zero/1.0/"
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| 44 |
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| 45 |
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_API_URL = "https://commonvoice.mozilla.org/api/v1"
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| 46 |
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| 47 |
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| 48 |
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class CommonVoiceConfig(datasets.BuilderConfig):
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| 49 |
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"""BuilderConfig for CommonVoice."""
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| 50 |
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| 51 |
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def __init__(self, name, version, **kwargs):
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| 52 |
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self.language = kwargs.pop("language", None)
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| 53 |
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self.release_date = kwargs.pop("release_date", None)
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| 54 |
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self.num_clips = kwargs.pop("num_clips", None)
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| 55 |
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self.num_speakers = kwargs.pop("num_speakers", None)
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| 56 |
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self.validated_hr = kwargs.pop("validated_hr", None)
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| 57 |
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self.total_hr = kwargs.pop("total_hr", None)
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| 58 |
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self.size_bytes = kwargs.pop("size_bytes", None)
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| 59 |
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self.size_human = size_str(self.size_bytes)
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| 60 |
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description = (
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| 61 |
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f"Common Voice speech to text dataset in {self.language} released on {self.release_date}. "
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f"The dataset comprises {self.validated_hr} hours of validated transcribed speech data "
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| 63 |
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f"out of {self.total_hr} hours in total from {self.num_speakers} speakers. "
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| 64 |
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f"The dataset contains {self.num_clips} audio clips and has a size of {self.size_human}."
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| 65 |
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)
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| 66 |
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super(CommonVoiceConfig, self).__init__(
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| 67 |
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name=name, version=datasets.Version(version), description=description, **kwargs
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)
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| 69 |
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| 70 |
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| 71 |
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class CommonVoice(datasets.GeneratorBasedBuilder):
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| 72 |
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DEFAULT_CONFIG_NAME = "en"
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| 73 |
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DEFAULT_WRITER_BATCH_SIZE = 1000
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| 74 |
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| 75 |
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BUILDER_CONFIGS = [
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| 76 |
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CommonVoiceConfig(
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| 77 |
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name=lang,
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| 78 |
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version=STATS["version"],
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| 79 |
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language=LANGUAGES[lang],
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| 80 |
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release_date=STATS["date"],
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| 81 |
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num_clips=lang_stats["clips"],
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| 82 |
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num_speakers=lang_stats["users"],
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| 83 |
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validated_hr=float(lang_stats["validHrs"]),
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| 84 |
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total_hr=float(lang_stats["totalHrs"]),
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| 85 |
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size_bytes=int(lang_stats["size"]),
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| 86 |
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)
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| 87 |
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for lang, lang_stats in STATS["locales"].items()
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| 88 |
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]
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| 89 |
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| 90 |
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def _info(self):
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| 91 |
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total_languages = len(STATS["locales"])
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| 92 |
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total_valid_hours = STATS["totalValidHrs"]
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| 93 |
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description = (
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| 94 |
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"Common Voice is Mozilla's initiative to help teach machines how real people speak. "
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| 95 |
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f"The dataset currently consists of {total_valid_hours} validated hours of speech "
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| 96 |
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f" in {total_languages} languages, but more voices and languages are always added."
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| 97 |
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)
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| 98 |
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features = datasets.Features(
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| 99 |
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{
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| 100 |
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"client_id": datasets.Value("string"),
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| 101 |
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"path": datasets.Value("string"),
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| 102 |
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"audio": datasets.features.Audio(sampling_rate=48_000),
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| 103 |
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"sentence": datasets.Value("string"),
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| 104 |
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"up_votes": datasets.Value("int64"),
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| 105 |
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"down_votes": datasets.Value("int64"),
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| 106 |
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"age": datasets.Value("string"),
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| 107 |
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"gender": datasets.Value("string"),
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| 108 |
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"accent": datasets.Value("string"),
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| 109 |
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"locale": datasets.Value("string"),
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| 110 |
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"segment": datasets.Value("string"),
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| 111 |
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}
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| 112 |
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)
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| 113 |
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| 114 |
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return datasets.DatasetInfo(
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| 115 |
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description=description,
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| 116 |
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features=features,
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| 117 |
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supervised_keys=None,
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| 118 |
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homepage=_HOMEPAGE,
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| 119 |
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license=_LICENSE,
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| 120 |
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citation=_CITATION,
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| 121 |
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version=self.config.version,
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| 122 |
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#task_templates=[
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| 123 |
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# AutomaticSpeechRecognition(audio_file_path_column="path", transcription_column="sentence")
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| 124 |
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#],
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| 125 |
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)
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| 126 |
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| 127 |
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def _get_bundle_url(self, locale, url_template):
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| 128 |
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# path = encodeURIComponent(path)
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| 129 |
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path = url_template.replace("{locale}", locale)
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| 130 |
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path = urllib.parse.quote(path.encode("utf-8"), safe="~()*!.'")
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| 131 |
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# use_cdn = self.config.size_bytes < 20 * 1024 * 1024 * 1024
|
| 132 |
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# response = requests.get(f"{_API_URL}/bucket/dataset/{path}/{use_cdn}", timeout=10.0).json()
|
| 133 |
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response = requests.get(f"{_API_URL}/bucket/dataset/{path}", timeout=10.0).json()
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| 134 |
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return response["url"]
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| 135 |
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| 136 |
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def _log_download(self, locale, bundle_version, auth_token):
|
| 137 |
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if isinstance(auth_token, bool):
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| 138 |
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auth_token = HfFolder().get_token()
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| 139 |
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email = HfApi().whoami(auth_token)["email"]
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| 140 |
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payload = {"email": email, "locale": locale, "dataset": bundle_version}
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| 141 |
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requests.post(f"{_API_URL}/{locale}/downloaders", json=payload).json()
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| 142 |
+
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| 143 |
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def _split_generators(self, dl_manager):
|
| 144 |
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"""Returns SplitGenerators."""
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| 145 |
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hf_auth_token = dl_manager.download_config.use_auth_token
|
| 146 |
+
if hf_auth_token is None:
|
| 147 |
+
raise ConnectionError("Please set use_auth_token=True or use_auth_token='<TOKEN>' to download this dataset")
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| 148 |
+
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| 149 |
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bundle_url_template = STATS["bundleURLTemplate"]
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| 150 |
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bundle_version = bundle_url_template.split("/")[0]
|
| 151 |
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dl_manager.download_config.ignore_url_params = True
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| 152 |
+
|
| 153 |
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self._log_download(self.config.name, bundle_version, hf_auth_token)
|
| 154 |
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archive_path = dl_manager.download(self._get_bundle_url(self.config.name, bundle_url_template))
|
| 155 |
+
local_extracted_archive = dl_manager.extract(archive_path) if not dl_manager.is_streaming else None
|
| 156 |
+
|
| 157 |
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if self.config.version < datasets.Version("5.0.0"):
|
| 158 |
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path_to_data = ""
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| 159 |
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else:
|
| 160 |
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path_to_data = "/".join([bundle_version, self.config.name])
|
| 161 |
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path_to_clips = "/".join([path_to_data, "clips"]) if path_to_data else "clips"
|
| 162 |
+
|
| 163 |
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return [
|
| 164 |
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datasets.SplitGenerator(
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| 165 |
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name=datasets.Split.TRAIN,
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| 166 |
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gen_kwargs={
|
| 167 |
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"local_extracted_archive": local_extracted_archive,
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| 168 |
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"archive_iterator": dl_manager.iter_archive(archive_path),
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| 169 |
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"metadata_filepath": "/".join([path_to_data, "train.tsv"]) if path_to_data else "train.tsv",
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| 170 |
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"path_to_clips": path_to_clips,
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| 171 |
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},
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| 172 |
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),
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| 173 |
+
datasets.SplitGenerator(
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| 174 |
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name=datasets.Split.TEST,
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| 175 |
+
gen_kwargs={
|
| 176 |
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"local_extracted_archive": local_extracted_archive,
|
| 177 |
+
"archive_iterator": dl_manager.iter_archive(archive_path),
|
| 178 |
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"metadata_filepath": "/".join([path_to_data, "test.tsv"]) if path_to_data else "test.tsv",
|
| 179 |
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"path_to_clips": path_to_clips,
|
| 180 |
+
},
|
| 181 |
+
),
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| 182 |
+
datasets.SplitGenerator(
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| 183 |
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name=datasets.Split.VALIDATION,
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| 184 |
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gen_kwargs={
|
| 185 |
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"local_extracted_archive": local_extracted_archive,
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| 186 |
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"archive_iterator": dl_manager.iter_archive(archive_path),
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| 187 |
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"metadata_filepath": "/".join([path_to_data, "dev.tsv"]) if path_to_data else "dev.tsv",
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| 188 |
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"path_to_clips": path_to_clips,
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| 189 |
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},
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| 190 |
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),
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| 191 |
+
datasets.SplitGenerator(
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| 192 |
+
name="other",
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| 193 |
+
gen_kwargs={
|
| 194 |
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"local_extracted_archive": local_extracted_archive,
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| 195 |
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"archive_iterator": dl_manager.iter_archive(archive_path),
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| 196 |
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"metadata_filepath": "/".join([path_to_data, "other.tsv"]) if path_to_data else "other.tsv",
|
| 197 |
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"path_to_clips": path_to_clips,
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| 198 |
+
},
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| 199 |
+
),
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| 200 |
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datasets.SplitGenerator(
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| 201 |
+
name="invalidated",
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| 202 |
+
gen_kwargs={
|
| 203 |
+
"local_extracted_archive": local_extracted_archive,
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| 204 |
+
"archive_iterator": dl_manager.iter_archive(archive_path),
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| 205 |
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"metadata_filepath": "/".join([path_to_data, "invalidated.tsv"]) if path_to_data else "invalidated.tsv",
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| 206 |
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"path_to_clips": path_to_clips,
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| 207 |
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},
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| 208 |
+
),
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| 209 |
+
]
|
| 210 |
+
|
| 211 |
+
def _generate_examples(self, local_extracted_archive, archive_iterator, metadata_filepath, path_to_clips):
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| 212 |
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"""Yields examples."""
|
| 213 |
+
data_fields = list(self._info().features.keys())
|
| 214 |
+
|
| 215 |
+
metadata = {}
|
| 216 |
+
metadata_found = False
|
| 217 |
+
for path, f in archive_iterator:
|
| 218 |
+
if path == metadata_filepath:
|
| 219 |
+
metadata_found = True
|
| 220 |
+
lines = (line.decode("utf-8") for line in f)
|
| 221 |
+
reader = csv.DictReader(lines, delimiter="\t", quoting=csv.QUOTE_NONE)
|
| 222 |
+
for row in reader:
|
| 223 |
+
# set absolute path for mp3 audio file
|
| 224 |
+
if not row["path"].endswith(".mp3"):
|
| 225 |
+
row["path"] += ".mp3"
|
| 226 |
+
row["path"] = os.path.join(path_to_clips, row["path"])
|
| 227 |
+
# accent -> accents in CV 8.0
|
| 228 |
+
if "accents" in row:
|
| 229 |
+
row["accent"] = row["accents"]
|
| 230 |
+
del row["accents"]
|
| 231 |
+
# if data is incomplete, fill with empty values
|
| 232 |
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for field in data_fields:
|
| 233 |
+
if field not in row:
|
| 234 |
+
row[field] = ""
|
| 235 |
+
metadata[row["path"]] = row
|
| 236 |
+
elif path.startswith(path_to_clips):
|
| 237 |
+
assert metadata_found, "Found audio clips before the metadata TSV file."
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| 238 |
+
if not metadata:
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| 239 |
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break
|
| 240 |
+
if path in metadata:
|
| 241 |
+
result = metadata[path]
|
| 242 |
+
# set audio feature
|
| 243 |
+
result["audio"] = {"path": path, "bytes": f.read()}
|
| 244 |
+
result["path"] = os.path.join(local_extracted_archive, path) if local_extracted_archive else None
|
| 245 |
+
|
| 246 |
+
yield path, result
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languages.py
ADDED
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|
| 1 |
+
LANGUAGES = {'mk': 'Macedonian', 'fr': 'French', 'tr': 'Turkish', 'cv': 'Chuvash', 'cs': 'Czech', 'ca': 'Catalan', 'sv-SE': 'Swedish', 'pl': 'Polish', 'zh-TW': 'Chinese (Taiwan)', 'he': 'Hebrew', 'nn-NO': 'Norwegian Nynorsk', 'zh-CN': 'Chinese (China)', 'de': 'German', 'tt': 'Tatar', 'el': 'Greek', 'cy': 'Welsh', 'nl': 'Dutch', 'sq': 'Albanian', 'fy-NL': 'Frisian', 'sk': 'Slovak', 'id': 'Indonesian', 'th': 'Thai', 'ru': 'Russian', 'ga-IE': 'Irish', 'ko': 'Korean', 'bn': 'Bengali', 'it': 'Italian', 'uz': 'Uzbek', 'or': 'Odia', 'da': 'Danish', 'ka': 'Georgian', 'ro': 'Romanian', 'ta': 'Tamil', 'hu': 'Hungarian', 'uk': 'Ukrainian', 'nb-NO': 'Norwegian Bokmål', 'kw': 'Cornish', 'es': 'Spanish', 'te': 'Telugu', 'ne-NP': 'Nepali', 'sr': 'Serbian', 'sl': 'Slovenian', 'kab': 'Kabyle', 'br': 'Breton', 'et': 'Estonian', 'as': 'Assamese', 'kk': 'Kazakh', 'az': 'Azerbaijani', 'sah': 'Sakha', 'kpv': 'Komi-Zyrian', 'ky': 'Kyrgyz', 'fi': 'Finnish', 'is': 'Icelandic', 'ja': 'Japanese', 'zh-HK': 'Chinese (Hong Kong)', 'hsb': 'Sorbian, Upper', 'fo': 'Faroese', 'myv': 'Erzya', 'cnh': 'Hakha Chin', 'dsb': 'Sorbian, Lower', 'ar': 'Arabic', 'an': 'Aragonese', 'ia': 'Interlingua', 'ast': 'Asturian', 'bxr': 'Buryat', 'cak': 'Kaqchikel', 'eo': 'Esperanto', 'ur': 'Urdu', 'vi': 'Vietnamese', 'mn': 'Mongolian', 'oc': 'Occitan', 'fa': 'Persian', 'ace': 'Acehnese', 'rm-sursilv': 'Romansh Sursilvan', 'mdf': 'Moksha', 'sc': 'Sardinian', 'eu': 'Basque', 'bg': 'Bulgarian', 'af': 'Afrikaans', 'ab': 'Abkhaz', 'ady': 'Adyghe', 'am': 'Amharic', 'uby': 'Ubykh', 'mrj': 'Hill Mari', 'mhr': 'Meadow Mari', 'udm': 'Udmurt', 'vot': 'Votic', 'dv': 'Dhivehi', 'hr': 'Croatian', 'rw': 'Kinyarwanda', 'izh': 'Izhorian', 'lt': 'Lithuanian', 'lv': 'Latvian', 'gl': 'Galician', 'tg': 'Tajik', 'lij': 'Ligurian', 'si': 'Sinhala', 'ha': 'Hausa', 'ba': 'Bashkir', 'ml': 'Malayalam', 'ff': 'Fulah', 'rm-vallader': 'Romansh Vallader', 'syr': 'Syriac', 'mt': 'Maltese', 'pt': 'Portuguese', 'sw': 'Swahili', 'pa-IN': 'Punjabi', 'be': 'Belarusian', 'mg': 'Malagasy', 'arn': 'Mapudungun', 'kbd': 'Kabardian', 'scn': 'Sicilian', 'my': 'Burmese', 'lg': 'Luganda', 'kaa': 'Karakalpak', 'tl': 'Tagalog', 'vec': 'Venetian', 'hy-AM': 'Armenian', 'hi': 'Hindi', 'hyw': 'Armenian Western', 'kmr': 'Kurmanji Kurdish', 'co': 'Corsican', 'ckb': 'Central Kurdish', 'gn': 'Guarani', 'bas': 'Basaa', 'yue': 'Cantonese', 'ms': 'Malay', 'ps': 'Pashto', 'ht': 'Haitian', 'mos': 'Mossi', 'mr': 'Marathi', 'ug': 'Uyghur', 'so': 'Somali', 'shi': 'Shilha', 'mai': 'Maithili', 'pap-AW': 'Papiamento (Aruba)', 'nia': 'Nias', 'tw': 'Twi', 'yo': 'Yoruba', 'nyn': 'Runyankole', 'sat': 'Santali (Ol Chiki)', 'ie': 'Interlingue', 'nan-tw': 'Taiwanese (Minnan)', 'ki': 'Kikuyu', 'yi': 'Yiddish', 'ty': 'Tahitian', 'ig': 'Igbo', 'ti': 'Tigrinya', 'quc': "K'iche'", 'tig': 'Tigre', 'mni': 'Meetei Lon', 'tk': 'Turkmen', 'quy': 'Quechua Chanka', 'bs': 'Bosnian', 'km': 'Khmer', 'gom': 'Goan Konkani', 'knn': 'Konkani (Devanagari)', 'en': 'English'}
|
release_stats.py
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| 1 |
+
STATS = {
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 12 |
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| 14 |
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| 15 |
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| 22 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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