Delete loading script

common_language.py

@@ -1,168 +0,0 @@
-# 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 Language Dataset"""
-
-import os
-
-import datasets
-
-
-_DATA_URL = "data/CommonLanguage.zip"
-
-_CITATION = """\
-@dataset{ganesh_sinisetty_2021_5036977,
-  author       = {Ganesh Sinisetty and
-                  Pavlo Ruban and
-                  Oleksandr Dymov and
-                  Mirco Ravanelli},
-  title        = {CommonLanguage},
-  month        = jun,
-  year         = 2021,
-  publisher    = {Zenodo},
-  version      = {0.1},
-  doi          = {10.5281/zenodo.5036977},
-  url          = {https://doi.org/10.5281/zenodo.5036977}
-}
-"""
-
-_DESCRIPTION = """\
-This dataset is composed of speech recordings from languages that were carefully selected from the CommonVoice database.
-The total duration of audio recordings is 45.1 hours (i.e., 1 hour of material for each language).
-The dataset has been extracted from CommonVoice to train language-id systems.
-"""
-
-_HOMEPAGE = "https://zenodo.org/record/5036977"
-
-_LICENSE = "https://creativecommons.org/licenses/by/4.0/legalcode"
-
-_LANGUAGES = [
-    "Arabic",
-    "Basque",
-    "Breton",
-    "Catalan",
-    "Chinese_China",
-    "Chinese_Hongkong",
-    "Chinese_Taiwan",
-    "Chuvash",
-    "Czech",
-    "Dhivehi",
-    "Dutch",
-    "English",
-    "Esperanto",
-    "Estonian",
-    "French",
-    "Frisian",
-    "Georgian",
-    "German",
-    "Greek",
-    "Hakha_Chin",
-    "Indonesian",
-    "Interlingua",
-    "Italian",
-    "Japanese",
-    "Kabyle",
-    "Kinyarwanda",
-    "Kyrgyz",
-    "Latvian",
-    "Maltese",
-    "Mangolian",
-    "Persian",
-    "Polish",
-    "Portuguese",
-    "Romanian",
-    "Romansh_Sursilvan",
-    "Russian",
-    "Sakha",
-    "Slovenian",
-    "Spanish",
-    "Swedish",
-    "Tamil",
-    "Tatar",
-    "Turkish",
-    "Ukranian",
-    "Welsh",
-]
-
-
-class CommonLanguage(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("0.1.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="full", version=VERSION, description="The entire Common Language dataset"),
-    ]
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "client_id": datasets.Value("string"),
-                "path": datasets.Value("string"),
-                "audio": datasets.Audio(sampling_rate=48_000),
-                "sentence": datasets.Value("string"),
-                "age": datasets.Value("string"),
-                "gender": datasets.Value("string"),
-                "language": datasets.ClassLabel(names=_LANGUAGES),
-            }
-        )
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-
-        dl_path = dl_manager.download_and_extract(_DATA_URL)
-        archive_path = os.path.join(dl_path, "common_voice_kpd")
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"archive_path": archive_path, "split": "train"},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={"archive_path": archive_path, "split": "dev"},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"archive_path": archive_path, "split": "test"},
-            ),
-        ]
-
-    def _generate_examples(self, archive_path, split):
-        """Yields examples."""
-        key = 0
-        for language in _LANGUAGES:
-            csv_path = os.path.join(archive_path, language, f"{split}.csv")
-            with open(csv_path, encoding="utf-16") as fin:
-                next(fin)  # skip the header
-                for line in fin:
-                    client_id, wav_name, sentence, age, gender = line.strip().split("\t")[1:]
-                    path = os.path.join(archive_path, language, split, client_id, wav_name)
-                    yield key, {
-                        "client_id": client_id,
-                        "path": path,
-                        "audio": path,
-                        "sentence": sentence,
-                        "age": age,
-                        "gender": gender,
-                        "language": language,
-                    }
-                    key += 1