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EliteVoiceProject.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.
+"""Elite Voice Project"""
+
+import csv
+import json
+import os
+
+import datasets
+
+_CITATION = """\
+@InProceedings{elitevoiceproject:dataset,
+    title = {Elite Voice Project},
+    author={Elite35P Server.},
+    year={2022}
+}
+"""
+
+_HOMEPAGE = "https://nyahello.jp/"
+
+_LICENSE = "https://hololive.hololivepro.com/guidelines/"
+
+_BASE_URL = "https://huggingface.co/datasets/Elite35P-Server/EliteVoiceProject/resolve/main/"
+
+_AUDIO_URL = _BASE_URL + "audio/{platform}/{platform}_{version}.tar"
+
+_TRANSCRIPT_URL = _BASE_URL + "transcript/{platform}/{platform}_{version}.tsv"
+
+
+class EliteVoiceProjectConfig(datasets.BuilderConfig):
+    """BuilderConfig for EliteVoiceProject."""
+
+    def __init__(self, name, version, **kwargs):
+        self.language = kwargs.pop("language", None)
+        self.release_date = kwargs.pop("release_date", None)
+        description = (
+            f"Elite Voice Project speech to text dataset in {self.language} released on {self.release_date}. "
+        )
+        super(EliteVoiceProjectConfig, self).__init__(
+            name=name,
+            version=datasets.Version(version),
+            description=description,
+            **kwargs,
+        )
+
+
+class EliteVoiceProject(datasets.GeneratorBasedBuilder):
+    DEFAULT_WRITER_BATCH_SIZE = 1000
+
+    BUILDER_CONFIGS = [
+        EliteVoiceProjectConfig(
+            name='Elite Voice Project',
+            version='1',
+            language='Japanese',
+            release_date='2022-12-06',
+        )
+    ]
+
+    def _info(self):
+        description = (
+            "Elite Voice Project はホロライブ所属VTuberのさくらみこ氏の声をデータセット化することを目的に"
+            "TwitterのSpace配信等のアーカイブから音声を切り出し、センテンスを当てています。"
+            "当データセットは、hololive productionの二次創作ガイドラインに沿ってご利用ください。"
+        )
+        features = datasets.Features(
+            {
+                "audio": datasets.features.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,
+            version=self.config.version,
+        )
+
+    def _split_generators(self, dl_manager):
+        version = self.config.version
+        
+        audio_urls = {}
+        #splits = ("twitter", "youtube", "twitch", "test")
+        splits = ("twitter")
+        for split in splits:
+            audio_urls[split] = [
+                _AUDIO_URL.format(platform=split, version=version)
+            ]
+        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(platform=split, version=version) for split in splits}
+        meta_paths = dl_manager.download_and_extract(meta_urls)
+
+        split_generators = []
+        split_names = {
+            "twitter": datasets.Split.TRAIN,
+            #"youtube": datasets.Split.TRAIN,
+            #"twitch": 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(".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 filename, file in audio_archive:
+                _, filename = os.path.split(filename)
+                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], filename) if local_extracted_archive_paths else filename
+                    result["audio"] = {"path": path, "bytes": file.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_paths else filename
+
+                    yield path, result

README.md

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+---
+license: other
+---
+# Elite Voice Project
+
+これはホロライブ所属Vtuberさくらみこ氏の声をデータセット化し音声認識などで活用できるようにする事を目的とした非公式プロジェクトです。
+
+## LICENSEについて
+
+### データセット内の音声データ
+
+すべてのデータは、[hololive productionの二次創作ガイドライン](https://www.hololive.tv/terms)に準拠する形で利用されています。
+
+これらのデータの著作権はカバー株式会社等が保有しており、リポジトリオーナー、コントリビューターは一切の権利を有しておりません。

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