Datasets:

Reihaneh
/

audio_dataset

+# coding=utf-8
+# Copyright 2021 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 os
+import warnings
+import datasets
+from datasets.tasks import AutomaticSpeechRecognition
+#_DATA_URL = "https://voice-prod-bundler-ee1969a6ce8178826482b88e843c335139bd3fb4.s3.amazonaws.com/cv-corpus-6.1-2020-12-11/{}.tar.gz"
+_DATA_URL = base_url
+_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
+}
+"""
+_DESCRIPTION = """\
+Common Voice is Mozilla's initiative to help teach machines how real people speak.
+The dataset currently consists of 7,335 validated hours of speech in 60 languages, but we’re always adding more voices and languages.
+"""
+_HOMEPAGE = "https://commonvoice.mozilla.org/en/datasets"
+_LICENSE = "https://github.com/common-voice/common-voice/blob/main/LICENSE"
+_LANGUAGES = {
+    "ab": {
+        "Language": "Abkhaz",
+        "Date": "2020-12-11",
+        "Size": "39 MB",
+        "Version": "ab_1h_2020-12-11",
+        "Validated_Hr_Total": 0.05,
+        "Overall_Hr_Total": 1,
+        "Number_Of_Voice": 14,
+    },
+    "ar": {
+        "Language": "Arabic",
+        "Date": "2020-12-11",
+        "Size": "2 GB",
+        "Version": "ar_77h_2020-12-11",
+        "Validated_Hr_Total": 49,
+        "Overall_Hr_Total": 77,
+        "Number_Of_Voice": 672,
+    },
+    "as": {
+        "Language": "Assamese",
+        "Date": "2020-12-11",
+        "Size": "21 MB",
+        "Version": "as_0.78h_2020-12-11",
+        "Validated_Hr_Total": 0.74,
+        "Overall_Hr_Total": 0.78,
+        "Number_Of_Voice": 17,
+    },
+    "br": {
+        "Language": "Breton",
+        "Date": "2020-12-11",
+        "Size": "444 MB",
+        "Version": "br_16h_2020-12-11",
+        "Validated_Hr_Total": 7,
+        "Overall_Hr_Total": 16,
+        "Number_Of_Voice": 157,
+    },
+    "ca": {
+        "Language": "Catalan",
+        "Date": "2020-12-11",
+        "Size": "19 GB",
+        "Version": "ca_748h_2020-12-11",
+        "Validated_Hr_Total": 623,
+        "Overall_Hr_Total": 748,
+        "Number_Of_Voice": 5376,
+    },
+    "cnh": {
+        "Language": "Hakha Chin",
+        "Date": "2020-12-11",
+        "Size": "39 MB",
+        "Version": "ab_1h_2020-12-11",
+        "Validated_Hr_Total": 0.05,
+        "Overall_Hr_Total": 1,
+        "Number_Of_Voice": 14,
+    },
+    "cs": {
+        "Language": "Czech",
+        "Date": "2020-12-11",
+        "Size": "39 MB",
+        "Version": "ab_1h_2020-12-11",
+        "Validated_Hr_Total": 0.05,
+        "Overall_Hr_Total": 1,
+        "Number_Of_Voice": 14,
+    },
+    "cv": {
+        "Language": "Chuvash",
+        "Date": "2020-12-11",
+        "Size": "419 MB",
+        "Version": "cv_16h_2020-12-11",
+        "Validated_Hr_Total": 4,
+        "Overall_Hr_Total": 16,
+        "Number_Of_Voice": 92,
+    },
+    "cy": {
+        "Language": "Welsh",
+        "Date": "2020-12-11",
+        "Size": "3 GB",
+        "Version": "cy_124h_2020-12-11",
+        "Validated_Hr_Total": 95,
+        "Overall_Hr_Total": 124,
+        "Number_Of_Voice": 1382,
+    },
+    "de": {
+        "Language": "German",
+        "Date": "2020-12-11",
+        "Size": "22 GB",
+        "Version": "de_836h_2020-12-11",
+        "Validated_Hr_Total": 777,
+        "Overall_Hr_Total": 836,
+        "Number_Of_Voice": 12659,
+    },
+    "dv": {
+        "Language": "Dhivehi",
+        "Date": "2020-12-11",
+        "Size": "515 MB",
+        "Version": "dv_19h_2020-12-11",
+        "Validated_Hr_Total": 18,
+        "Overall_Hr_Total": 19,
+        "Number_Of_Voice": 167,
+    },
+    "el": {
+        "Language": "Greek",
+        "Date": "2020-12-11",
+        "Size": "364 MB",
+        "Version": "el_13h_2020-12-11",
+        "Validated_Hr_Total": 6,
+        "Overall_Hr_Total": 13,
+        "Number_Of_Voice": 118,
+    },
+    "en": {
+        "Language": "English",
+        "Date": "2020-12-11",
+        "Size": "56 GB",
+        "Version": "en_2181h_2020-12-11",
+        "Validated_Hr_Total": 1686,
+        "Overall_Hr_Total": 2181,
+        "Number_Of_Voice": 66173,
+    },
+    "eo": {
+        "Language": "Esperanto",
+        "Date": "2020-12-11",
+        "Size": "3 GB",
+        "Version": "eo_102h_2020-12-11",
+        "Validated_Hr_Total": 90,
+        "Overall_Hr_Total": 102,
+        "Number_Of_Voice": 574,
+    },
+    "es": {
+        "Language": "Spanish",
+        "Date": "2020-12-11",
+        "Size": "15 GB",
+        "Version": "es_579h_2020-12-11",
+        "Validated_Hr_Total": 324,
+        "Overall_Hr_Total": 579,
+        "Number_Of_Voice": 19484,
+    },
+    "et": {
+        "Language": "Estonian",
+        "Date": "2020-12-11",
+        "Size": "732 MB",
+        "Version": "et_27h_2020-12-11",
+        "Validated_Hr_Total": 19,
+        "Overall_Hr_Total": 27,
+        "Number_Of_Voice": 543,
+    },
+    "eu": {
+        "Language": "Basque",
+        "Date": "2020-12-11",
+        "Size": "3 GB",
+        "Version": "eu_131h_2020-12-11",
+        "Validated_Hr_Total": 89,
+        "Overall_Hr_Total": 131,
+        "Number_Of_Voice": 1028,
+    },
+    "fa": {
+        "Language": "Persian",
+        "Date": "2020-12-11",
+        "Size": "8 GB",
+        "Version": "fa_321h_2020-12-11",
+        "Validated_Hr_Total": 282,
+        "Overall_Hr_Total": 321,
+        "Number_Of_Voice": 3655,
+    },
+    "fi": {
+        "Language": "Finnish",
+        "Date": "2020-12-11",
+        "Size": "48 MB",
+        "Version": "fi_1h_2020-12-11",
+        "Validated_Hr_Total": 1,
+        "Overall_Hr_Total": 1,
+        "Number_Of_Voice": 27,
+    },
+    "fr": {
+        "Language": "French",
+        "Date": "2020-12-11",
+        "Size": "18 GB",
+        "Version": "fr_682h_2020-12-11",
+        "Validated_Hr_Total": 623,
+        "Overall_Hr_Total": 682,
+        "Number_Of_Voice": 12953,
+    },
+    "fy-NL": {
+        "Language": "Frisian",
+        "Date": "2020-12-11",
+        "Size": "1 GB",
+        "Version": "fy-NL_46h_2020-12-11",
+        "Validated_Hr_Total": 14,
+        "Overall_Hr_Total": 46,
+        "Number_Of_Voice": 467,
+    },
+    "ga-IE": {
+        "Language": "Irish",
+        "Date": "2020-12-11",
+        "Size": "149 MB",
+        "Version": "ga-IE_5h_2020-12-11",
+        "Validated_Hr_Total": 3,
+        "Overall_Hr_Total": 5,
+        "Number_Of_Voice": 101,
+    },
+    "hi": {
+        "Language": "Hindi",
+        "Date": "2020-12-11",
+        "Size": "20 MB",
+        "Version": "hi_0.8h_2020-12-11",
+        "Validated_Hr_Total": 0.54,
+        "Overall_Hr_Total": 0.8,
+        "Number_Of_Voice": 31,
+    },
+    "hsb": {
+        "Language": "Sorbian, Upper",
+        "Date": "2020-12-11",
+        "Size": "76 MB",
+        "Version": "hsb_2h_2020-12-11",
+        "Validated_Hr_Total": 2,
+        "Overall_Hr_Total": 2,
+        "Number_Of_Voice": 19,
+    },
+    "hu": {
+        "Language": "Hungarian",
+        "Date": "2020-12-11",
+        "Size": "232 MB",
+        "Version": "hu_8h_2020-12-11",
+        "Validated_Hr_Total": 8,
+        "Overall_Hr_Total": 8,
+        "Number_Of_Voice": 47,
+    },
+    "ia": {
+        "Language": "InterLinguia",
+        "Date": "2020-12-11",
+        "Size": "216 MB",
+        "Version": "ia_8h_2020-12-11",
+        "Validated_Hr_Total": 6,
+        "Overall_Hr_Total": 8,
+        "Number_Of_Voice": 36,
+    },
+    "id": {
+        "Language": "Indonesian",
+        "Date": "2020-12-11",
+        "Size": "454 MB",
+        "Version": "id_17h_2020-12-11",
+        "Validated_Hr_Total": 9,
+        "Overall_Hr_Total": 17,
+        "Number_Of_Voice": 219,
+    },
+    "it": {
+        "Language": "Italian",
+        "Date": "2020-12-11",
+        "Size": "5 GB",
+        "Version": "it_199h_2020-12-11",
+        "Validated_Hr_Total": 158,
+        "Overall_Hr_Total": 199,
+        "Number_Of_Voice": 5729,
+    },
+    "ja": {
+        "Language": "Japanese",
+        "Date": "2020-12-11",
+        "Size": "146 MB",
+        "Version": "ja_5h_2020-12-11",
+        "Validated_Hr_Total": 3,
+        "Overall_Hr_Total": 5,
+        "Number_Of_Voice": 235,
+    },
+    "ka": {
+        "Language": "Georgian",
+        "Date": "2020-12-11",
+        "Size": "99 MB",
+        "Version": "ka_3h_2020-12-11",
+        "Validated_Hr_Total": 3,
+        "Overall_Hr_Total": 3,
+        "Number_Of_Voice": 44,
+    },
+    "kab": {
+        "Language": "Kabyle",
+        "Date": "2020-12-11",
+        "Size": "16 GB",
+        "Version": "kab_622h_2020-12-11",
+        "Validated_Hr_Total": 525,
+        "Overall_Hr_Total": 622,
+        "Number_Of_Voice": 1309,
+    },
+    "ky": {
+        "Language": "Kyrgyz",
+        "Date": "2020-12-11",
+        "Size": "553 MB",
+        "Version": "ky_22h_2020-12-11",
+        "Validated_Hr_Total": 11,
+        "Overall_Hr_Total": 22,
+        "Number_Of_Voice": 134,
+    },
+    "lg": {
+        "Language": "Luganda",
+        "Date": "2020-12-11",
+        "Size": "199 MB",
+        "Version": "lg_8h_2020-12-11",
+        "Validated_Hr_Total": 3,
+        "Overall_Hr_Total": 8,
+        "Number_Of_Voice": 76,
+    },
+    "lt": {
+        "Language": "Lithuanian",
+        "Date": "2020-12-11",
+        "Size": "129 MB",
+        "Version": "lt_4h_2020-12-11",
+        "Validated_Hr_Total": 2,
+        "Overall_Hr_Total": 4,
+        "Number_Of_Voice": 30,
+    },
+    "lv": {
+        "Language": "Latvian",
+        "Date": "2020-12-11",
+        "Size": "199 MB",
+        "Version": "lv_7h_2020-12-11",
+        "Validated_Hr_Total": 6,
+        "Overall_Hr_Total": 7,
+        "Number_Of_Voice": 99,
+    },
+    "mn": {
+        "Language": "Mongolian",
+        "Date": "2020-12-11",
+        "Size": "464 MB",
+        "Version": "mn_17h_2020-12-11",
+        "Validated_Hr_Total": 11,
+        "Overall_Hr_Total": 17,
+        "Number_Of_Voice": 376,
+    },
+    "mt": {
+        "Language": "Maltese",
+        "Date": "2020-12-11",
+        "Size": "405 MB",
+        "Version": "mt_15h_2020-12-11",
+        "Validated_Hr_Total": 7,
+        "Overall_Hr_Total": 15,
+        "Number_Of_Voice": 171,
+    },
+    "nl": {
+        "Language": "Dutch",
+        "Date": "2020-12-11",
+        "Size": "2 GB",
+        "Version": "nl_63h_2020-12-11",
+        "Validated_Hr_Total": 59,
+        "Overall_Hr_Total": 63,
+        "Number_Of_Voice": 1012,
+    },
+    "or": {
+        "Language": "Odia",
+        "Date": "2020-12-11",
+        "Size": "190 MB",
+        "Version": "or_7h_2020-12-11",
+        "Validated_Hr_Total": 0.87,
+        "Overall_Hr_Total": 7,
+        "Number_Of_Voice": 34,
+    },
+    "pa-IN": {
+        "Language": "Punjabi",
+        "Date": "2020-12-11",
+        "Size": "67 MB",
+        "Version": "pa-IN_2h_2020-12-11",
+        "Validated_Hr_Total": 0.5,
+        "Overall_Hr_Total": 2,
+        "Number_Of_Voice": 26,
+    },
+    "pl": {
+        "Language": "Polish",
+        "Date": "2020-12-11",
+        "Size": "3 GB",
+        "Version": "pl_129h_2020-12-11",
+        "Validated_Hr_Total": 108,
+        "Overall_Hr_Total": 129,
+        "Number_Of_Voice": 2647,
+    },
+    "pt": {
+        "Language": "Portuguese",
+        "Date": "2020-12-11",
+        "Size": "2 GB",
+        "Version": "pt_63h_2020-12-11",
+        "Validated_Hr_Total": 50,
+        "Overall_Hr_Total": 63,
+        "Number_Of_Voice": 1120,
+    },
+    "rm-sursilv": {
+        "Language": "Romansh Sursilvan",
+        "Date": "2020-12-11",
+        "Size": "263 MB",
+        "Version": "rm-sursilv_9h_2020-12-11",
+        "Validated_Hr_Total": 5,
+        "Overall_Hr_Total": 9,
+        "Number_Of_Voice": 78,
+    },
+    "rm-vallader": {
+        "Language": "Romansh Vallader",
+        "Date": "2020-12-11",
+        "Size": "103 MB",
+        "Version": "rm-vallader_3h_2020-12-11",
+        "Validated_Hr_Total": 2,
+        "Overall_Hr_Total": 3,
+        "Number_Of_Voice": 39,
+    },
+    "ro": {
+        "Language": "Romanian",
+        "Date": "2020-12-11",
+        "Size": "250 MB",
+        "Version": "ro_9h_2020-12-11",
+        "Validated_Hr_Total": 6,
+        "Overall_Hr_Total": 9,
+        "Number_Of_Voice": 130,
+    },
+    "ru": {
+        "Language": "Russian",
+        "Date": "2020-12-11",
+        "Size": "3 GB",
+        "Version": "ru_130h_2020-12-11",
+        "Validated_Hr_Total": 111,
+        "Overall_Hr_Total": 130,
+        "Number_Of_Voice": 1412,
+    },
+    "rw": {
+        "Language": "Kinyarwanda",
+        "Date": "2020-12-11",
+        "Size": "40 GB",
+        "Version": "rw_1510h_2020-12-11",
+        "Validated_Hr_Total": 1183,
+        "Overall_Hr_Total": 1510,
+        "Number_Of_Voice": 410,
+    },
+    "sah": {
+        "Language": "Sakha",
+        "Date": "2020-12-11",
+        "Size": "173 MB",
+        "Version": "sah_6h_2020-12-11",
+        "Validated_Hr_Total": 4,
+        "Overall_Hr_Total": 6,
+        "Number_Of_Voice": 42,
+    },
+    "sl": {
+        "Language": "Slovenian",
+        "Date": "2020-12-11",
+        "Size": "212 MB",
+        "Version": "sl_7h_2020-12-11",
+        "Validated_Hr_Total": 5,
+        "Overall_Hr_Total": 7,
+        "Number_Of_Voice": 82,
+    },
+    "sv-SE": {
+        "Language": "Swedish",
+        "Date": "2020-12-11",
+        "Size": "402 MB",
+        "Version": "sv-SE_15h_2020-12-11",
+        "Validated_Hr_Total": 12,
+        "Overall_Hr_Total": 15,
+        "Number_Of_Voice": 222,
+    },
+    "ta": {
+        "Language": "Tamil",
+        "Date": "2020-12-11",
+        "Size": "648 MB",
+        "Version": "ta_24h_2020-12-11",
+        "Validated_Hr_Total": 14,
+        "Overall_Hr_Total": 24,
+        "Number_Of_Voice": 266,
+    },
+    "th": {
+        "Language": "Thai",
+        "Date": "2020-12-11",
+        "Size": "325 MB",
+        "Version": "th_12h_2020-12-11",
+        "Validated_Hr_Total": 8,
+        "Overall_Hr_Total": 12,
+        "Number_Of_Voice": 182,
+    },
+    "tr": {
+        "Language": "Turkish",
+        "Date": "2020-12-11",
+        "Size": "592 MB",
+        "Version": "tr_22h_2020-12-11",
+        "Validated_Hr_Total": 20,
+        "Overall_Hr_Total": 22,
+        "Number_Of_Voice": 678,
+    },
+    "tt": {
+        "Language": "Tatar",
+        "Date": "2020-12-11",
+        "Size": "741 MB",
+        "Version": "tt_28h_2020-12-11",
+        "Validated_Hr_Total": 26,
+        "Overall_Hr_Total": 28,
+        "Number_Of_Voice": 185,
+    },
+    "uk": {
+        "Language": "Ukrainian",
+        "Date": "2020-12-11",
+        "Size": "1 GB",
+        "Version": "uk_43h_2020-12-11",
+        "Validated_Hr_Total": 30,
+        "Overall_Hr_Total": 43,
+        "Number_Of_Voice": 459,
+    },
+    "vi": {
+        "Language": "Vietnamese",
+        "Date": "2020-12-11",
+        "Size": "50 MB",
+        "Version": "vi_1h_2020-12-11",
+        "Validated_Hr_Total": 0.74,
+        "Overall_Hr_Total": 1,
+        "Number_Of_Voice": 62,
+    },
+    "vot": {
+        "Language": "Votic",
+        "Date": "2020-12-11",
+        "Size": "7 MB",
+        "Version": "vot_0.28h_2020-12-11",
+        "Validated_Hr_Total": 0,
+        "Overall_Hr_Total": 0.28,
+        "Number_Of_Voice": 3,
+    },
+    "zh-CN": {
+        "Language": "Chinese (China)",
+        "Date": "2020-12-11",
+        "Size": "2 GB",
+        "Version": "zh-CN_78h_2020-12-11",
+        "Validated_Hr_Total": 56,
+        "Overall_Hr_Total": 78,
+        "Number_Of_Voice": 3501,
+    },
+    "zh-HK": {
+        "Language": "Chinese (Hong Kong)",
+        "Date": "2020-12-11",
+        "Size": "3 GB",
+        "Version": "zh-HK_100h_2020-12-11",
+        "Validated_Hr_Total": 50,
+        "Overall_Hr_Total": 100,
+        "Number_Of_Voice": 2536,
+    },
+    "zh-TW": {
+        "Language": "Chinese (Taiwan)",
+        "Date": "2020-12-11",
+        "Size": "2 GB",
+        "Version": "zh-TW_78h_2020-12-11",
+        "Validated_Hr_Total": 55,
+        "Overall_Hr_Total": 78,
+        "Number_Of_Voice": 1444,
+    },
+}
+class CommonVoiceConfig(datasets.BuilderConfig):
+    """BuilderConfig for CommonVoice."""
+    def __init__(self, name, sub_version, **kwargs):
+        """
+        Args:
+          data_dir: `string`, the path to the folder containing the files in the
+            downloaded .tar
+          citation: `string`, citation for the data set
+          url: `string`, url for information about the data set
+          **kwargs: keyword arguments forwarded to super.
+        """
+        self.sub_version = sub_version
+        self.language = kwargs.pop("language", None)
+        self.date_of_snapshot = kwargs.pop("date", None)
+        self.size = kwargs.pop("size", None)
+        self.validated_hr_total = kwargs.pop("val_hrs", None)
+        self.total_hr_total = kwargs.pop("total_hrs", None)
+        self.num_of_voice = kwargs.pop("num_of_voice", None)
+        description = f"Common Voice speech to text dataset in {self.language} version {self.sub_version} of {self.date_of_snapshot}. The dataset comprises {self.validated_hr_total} of validated transcribed speech data from {self.num_of_voice} speakers. The dataset has a size of {self.size}"
+        super(CommonVoiceConfig, self).__init__(
+            name=name, version=datasets.Version("6.1.0", ""), description=description, **kwargs
+        )
+class CommonVoice(datasets.GeneratorBasedBuilder):
+    DEFAULT_WRITER_BATCH_SIZE = 1000
+    BUILDER_CONFIGS = [
+        CommonVoiceConfig(
+            name=lang_id,
+            language=_LANGUAGES[lang_id]["Language"],
+            sub_version=_LANGUAGES[lang_id]["Version"],
+            date=_LANGUAGES[lang_id]["Date"],
+            size=_LANGUAGES[lang_id]["Size"],
+            val_hrs=_LANGUAGES[lang_id]["Validated_Hr_Total"],
+            total_hrs=_LANGUAGES[lang_id]["Overall_Hr_Total"],
+            num_of_voice=_LANGUAGES[lang_id]["Number_Of_Voice"],
+        )
+        for lang_id in _LANGUAGES.keys()
+    ]
+    def _info(self):
+        warnings.warn(
+            """
+            This version of the Common Voice dataset is deprecated.
+            You can download the latest one with
+            >>> load_dataset(\"mozilla-foundation/common_voice_11_0\", \"en\")
+            """,
+            FutureWarning,
+        )
+        features = datasets.Features(
+            {
+                "path": datasets.Value("string"),
+                "audio": datasets.Audio(sampling_rate=48_000),
+                "sentence": datasets.Value("string")
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+            task_templates=[AutomaticSpeechRecognition(audio_column="audio", transcription_column="sentence")],
+        )
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # Download the TAR archive that contains the audio files:
+        #archive_path = dl_manager.download(_DATA_URL.format(self.config.name))
+        # First we locate the data using the path within the archive:
+        #path_to_data = "/".join(["cv-corpus-6.1-2020-12-11", self.config.name])
+        path_to_data = base_url
+        path_to_clips = base_url+"clips"
+        #path_to_clips = "/".join([path_to_data, "clips"])
+        metadata_filepaths = {
+            split: "/".join([path_to_data, f"{split}.tsv"])
+            for split in ["train", "test", "validation"]
+        }
+        # (Optional) In non-streaming mode, we can extract the archive locally to have actual local audio files:
+        local_extracted_archive = dl_manager.extract(archive_path) if not dl_manager.is_streaming else None
+        local_extracted_archive = base_url
+        # To access the audio data from the TAR archives using the download manager,
+        # we have to use the dl_manager.iter_archive method.
+        #
+        # This is because dl_manager.download_and_extract
+        # doesn't work to stream TAR archives in streaming mode.
+        # (we have to stream the files of a TAR archive one by one)
+        #
+        # The iter_archive method returns an iterable of (path_within_archive, file_obj) for every
+        # file in the TAR archive.
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "local_extracted_archive": local_extracted_archive,
+                    "archive_iterator": dl_manager.iter_archive(
+                        archive_path
+                    ),  # use iter_archive here to access the files in the TAR archives
+                    "metadata_filepath": metadata_filepaths["train"],
+                    "path_to_clips": path_to_clips,
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "local_extracted_archive": local_extracted_archive,
+                    "archive_iterator": dl_manager.iter_archive(
+                        archive_path
+                    ),  # use iter_archive here to access the files in the TAR archives
+                    "metadata_filepath": metadata_filepaths["test"],
+                    "path_to_clips": path_to_clips,
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "local_extracted_archive": local_extracted_archive,
+                    "archive_iterator": dl_manager.iter_archive(
+                        archive_path
+                    ),  # use iter_archive here to access the files in the TAR archives
+                    "metadata_filepath": metadata_filepaths["validation"],
+                    "path_to_clips": path_to_clips,
+                },
+            ),
+        ]
+    def _generate_examples(self, local_extracted_archive, archive_iterator, metadata_filepath, path_to_clips):
+        """Yields examples."""
+        data_fields = list(self._info().features.keys())
+        # audio is not a header of the csv files
+        data_fields.remove("audio")
+        path_idx = data_fields.index("path")
+        all_field_values = {}
+        metadata_found = False
+        # Here we iterate over all the files within the TAR archive:
+        for path, f in archive_iterator:
+            # Parse the metadata CSV file
+            if path == metadata_filepath:
+                metadata_found = True
+                lines = f.readlines()
+                headline = lines[0].decode("utf-8")
+                column_names = headline.strip().split("\t")
+                assert (
+                    column_names == data_fields
+                ), f"The file should have {data_fields} as column names, but has {column_names}"
+                for line in lines[1:]:
+                    field_values = line.decode("utf-8").strip().split("\t")
+                    # set full path for mp3 audio file
+                    audio_path = "/".join([path_to_clips, field_values[path_idx]])
+                    all_field_values[audio_path] = field_values
+            # Else, read the audio file and yield an example
+            elif path.startswith(path_to_clips):
+                assert metadata_found, "Found audio clips before the metadata TSV file."
+                if not all_field_values:
+                    break
+                if path in all_field_values:
+                    # retrieve the metadata corresponding to this audio file
+                    field_values = all_field_values[path]
+                    # if data is incomplete, fill with empty values
+                    if len(field_values) < len(data_fields):
+                        field_values += (len(data_fields) - len(field_values)) * ["''"]
+                    result = {key: value for key, value in zip(data_fields, field_values)}
+                    # set audio feature
+                    path = os.path.join(local_extracted_archive, path) if local_extracted_archive else path
+                    result["audio"] = {"path": path, "bytes": f.read()}
+                    # set path to None if the audio file doesn't exist locally (i.e. in streaming mode)
+                    result["path"] = path if local_extracted_archive else None
+                    yield path, result