Datasets:
Languages:
Russian
Multilinguality:
monolingual
Size Categories:
unknown
Language Creators:
crowdsourced
Annotations Creators:
found
Source Datasets:
original
ArXiv:
License:
| # coding=utf-8 | |
| # Copyright 2021 YANDEX LLC. | |
| # | |
| # 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. | |
| # Lint as: python3 | |
| """VoxDIY: Benchmark Dataset for Russian Crowdsourced Audio Transcription.""" | |
| import json | |
| import datasets | |
| from datasets.tasks import Summarization | |
| logger = datasets.logging.get_logger(__name__) | |
| _DESCRIPTION = """\ | |
| VoxDIY: Benchmark Dataset for Russian Crowdsourced Audio Transcription. | |
| """ | |
| _URL = "https://raw.githubusercontent.com/pilot7747/VoxDIY/main/data/huggingface/" | |
| _URLS = { | |
| "train": _URL + "vox-diy-rusnews.json" | |
| } | |
| class VoxDIYRusNewsConfig(datasets.BuilderConfig): | |
| """BuilderConfig for VoxDIY-RusNews.""" | |
| def __init__(self, **kwargs): | |
| """BuilderConfig for VoxDIY-RusNews. | |
| Args: | |
| **kwargs: keyword arguments forwarded to super. | |
| """ | |
| super(VoxDIYRusNewsConfig, self).__init__(**kwargs) | |
| class VoxDIYRusNews(datasets.GeneratorBasedBuilder): | |
| """VoxDIY: Benchmark Dataset for Russian Crowdsourced Audio Transcription.""" | |
| BUILDER_CONFIGS = [ | |
| VoxDIYRusNewsConfig( | |
| name="plain_text", | |
| version=datasets.Version("1.0.0", ""), | |
| description="Plain text", | |
| ), | |
| ] | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "task": datasets.Value("string"), | |
| "transcriptions": datasets.Value("string"), | |
| "performers": datasets.Value("string"), | |
| "gt": datasets.Value("string"), | |
| } | |
| ), | |
| supervised_keys=None, | |
| homepage="https://github.com/pilot7747/VoxDIY/", | |
| # citation=_CITATION, | |
| task_templates=[ | |
| Summarization( | |
| text_column="transcriptions", summary_column="gt" | |
| ) | |
| ], | |
| ) | |
| def _split_generators(self, dl_manager): | |
| downloaded_files = dl_manager.download_and_extract(_URLS) | |
| return [ | |
| datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}), | |
| ] | |
| def _generate_examples(self, filepath): | |
| """This function returns the examples in the raw (text) form.""" | |
| logger.info("generating examples from = %s", filepath) | |
| with open(filepath, encoding="utf-8") as f: | |
| crowdspeech = json.load(f) | |
| for audio in crowdspeech["data"]: | |
| task = audio.get("task", "") | |
| transcriptions = audio.get("transcriptions", "") | |
| performers = audio.get("performers", "") | |
| gt = audio.get("gt", "") | |
| yield task, { | |
| "task": task, | |
| "transcriptions": transcriptions, | |
| "performers": performers, | |
| "gt": gt, | |
| } | |