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Update parquet files
Browse files- .gitattributes +1 -0
- README.md +0 -39
- VoxDIY-RusNews.py +0 -105
- dataset_infos.json +0 -1
- plain_text/vox_diy-rus_news-train.parquet +3 -0
.gitattributes
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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plain_text/vox_diy-rus_news-train.parquet filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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annotations_creators:
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- found
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language_creators:
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- crowdsourced
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language:
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- ru
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license:
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- cc-by-4.0
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multilinguality:
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- monolingual
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size_categories:
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- unknown
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source_datasets:
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- original
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task_categories:
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- summarization
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- automatic-speech-recognition
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- text2text-generation
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task_ids: []
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pretty_name: VoxDIY RusNews
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language_bcp47:
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- ru-RU
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tags:
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- conditional-text-generation
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- stuctured-to-text
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- speech-recognition
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---
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# Dataset Card for VoxDIY RusNews
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## Dataset Description
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- **Repository:** [GitHub](https://github.com/Toloka/CrowdSpeech)
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- **Paper:** [Paper](https://openreview.net/forum?id=3_hgF1NAXU7)
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- **Point of Contact:** research@toloka.ai
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### Dataset Summary
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VoxDIY RusNews is a dataset for crowdsourced text aggregation collected via VoxDIY pipeline. RusNews dataset was used as a source for the speech generation step.
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VoxDIY-RusNews.py
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# coding=utf-8
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# Copyright 2021 YANDEX LLC.
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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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#
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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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# See the License for the specific language governing permissions and
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# limitations under the License.
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# Lint as: python3
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"""VoxDIY: Benchmark Dataset for Russian Crowdsourced Audio Transcription."""
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import json
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import datasets
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from datasets.tasks import Summarization
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logger = datasets.logging.get_logger(__name__)
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_DESCRIPTION = """\
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VoxDIY: Benchmark Dataset for Russian Crowdsourced Audio Transcription.
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"""
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_URL = "https://raw.githubusercontent.com/pilot7747/VoxDIY/main/data/huggingface/"
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_URLS = {
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"train": _URL + "vox-diy-rusnews.json"
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}
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class VoxDIYRusNewsConfig(datasets.BuilderConfig):
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"""BuilderConfig for VoxDIY-RusNews."""
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def __init__(self, **kwargs):
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"""BuilderConfig for VoxDIY-RusNews.
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Args:
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**kwargs: keyword arguments forwarded to super.
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"""
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super(VoxDIYRusNewsConfig, self).__init__(**kwargs)
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class VoxDIYRusNews(datasets.GeneratorBasedBuilder):
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"""VoxDIY: Benchmark Dataset for Russian Crowdsourced Audio Transcription."""
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BUILDER_CONFIGS = [
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VoxDIYRusNewsConfig(
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name="plain_text",
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version=datasets.Version("1.0.0", ""),
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description="Plain text",
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),
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]
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"task": datasets.Value("string"),
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"transcriptions": datasets.Value("string"),
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"performers": datasets.Value("string"),
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"gt": datasets.Value("string"),
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}
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),
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supervised_keys=None,
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homepage="https://github.com/pilot7747/VoxDIY/",
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# citation=_CITATION,
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task_templates=[
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Summarization(
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text_column="transcriptions", summary_column="gt"
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)
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],
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)
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def _split_generators(self, dl_manager):
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downloaded_files = dl_manager.download_and_extract(_URLS)
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
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]
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def _generate_examples(self, filepath):
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"""This function returns the examples in the raw (text) form."""
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logger.info("generating examples from = %s", filepath)
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with open(filepath, encoding="utf-8") as f:
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crowdspeech = json.load(f)
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for audio in crowdspeech["data"]:
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task = audio.get("task", "")
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transcriptions = audio.get("transcriptions", "")
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performers = audio.get("performers", "")
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gt = audio.get("gt", "")
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yield task, {
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"task": task,
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"transcriptions": transcriptions,
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"performers": performers,
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"gt": gt,
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}
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dataset_infos.json
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{"plain_text": {"description": "VoxDIY: Benchmark Dataset for Russian Crowdsourced Audio Transcription.\n", "citation": "", "homepage": "https://github.com/pilot7747/VoxDIY/", "license": "", "features": {"task": {"dtype": "string", "id": null, "_type": "Value"}, "transcriptions": {"dtype": "string", "id": null, "_type": "Value"}, "performers": {"dtype": "string", "id": null, "_type": "Value"}, "gt": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "summarization", "text_column": "transcriptions", "summary_column": "gt"}], "builder_name": "vox_diy_rus_news", "config_name": "plain_text", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 4847274, "num_examples": 3091, "dataset_name": "vox_diy_rus_news"}}, "download_checksums": {"https://raw.githubusercontent.com/pilot7747/VoxDIY/main/data/huggingface/vox-diy-rusnews.json": {"num_bytes": 13223752, "checksum": "623a9a24bc19c000402206e04fddaa76f640ab675364e845947a4bd1501792c8"}}, "download_size": 13223752, "post_processing_size": null, "dataset_size": 4847274, "size_in_bytes": 18071026}}
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plain_text/vox_diy-rus_news-train.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:52ccf7bd2c495d63aeb5b7777e97712b869fc54bb4fc13d395375790b043cec6
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size 1053413
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