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Update parquet files
Browse files- .gitattributes +0 -37
- comedy-scripts.json +0 -0
- comedy-scripts.py +0 -107
- default/comedy-scripts-train.parquet +3 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.bin.* filter=lfs diff=lfs merge=lfs -text
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*.bz2 filter=lfs diff=lfs merge=lfs -text
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*.ftz filter=lfs diff=lfs merge=lfs -text
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*.h5 filter=lfs diff=lfs merge=lfs -text
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*.lfs.* filter=lfs diff=lfs merge=lfs -text
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*.model filter=lfs diff=lfs merge=lfs -text
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*.msgpack filter=lfs diff=lfs merge=lfs -text
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*.onnx filter=lfs diff=lfs merge=lfs -text
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*.ot filter=lfs diff=lfs merge=lfs -text
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*.parquet 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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*.rar filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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# Audio files - uncompressed
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*.pcm filter=lfs diff=lfs merge=lfs -text
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*.sam filter=lfs diff=lfs merge=lfs -text
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*.raw filter=lfs diff=lfs merge=lfs -text
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# Audio files - compressed
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*.flac filter=lfs diff=lfs merge=lfs -text
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*.ogg filter=lfs diff=lfs merge=lfs -text
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*.wav filter=lfs diff=lfs merge=lfs -text
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comedy-scripts.json
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comedy-scripts.py
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# coding=utf-8
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# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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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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"""Lyrics dataset parsed from Genius"""
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import csv
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import json
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import os
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import gzip
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import datasets
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_CITATION = """\
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@InProceedings{huggingartists:dataset,
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title = {Lyrics dataset},
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author={Aleksey Korshuk
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},
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year={2021}
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}
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"""
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_DESCRIPTION = """\
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This dataset is designed to generate lyrics with HuggingArtists.
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"""
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# Add a link to an official homepage for the dataset here
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_HOMEPAGE = "https://github.com/AlekseyKorshuk/huggingartists"
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# Add the licence for the dataset here if you can find it
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_LICENSE = "All rights belong to copyright holders"
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_URL = "https://huggingface.co/datasets/AlekseyKorshuk/comedy-scripts/resolve/main/comedy-scripts.json"
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# Name of the dataset
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class LyricsDataset(datasets.GeneratorBasedBuilder):
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"""Lyrics dataset"""
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VERSION = datasets.Version("1.0.0")
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def _info(self):
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# This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
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features = datasets.Features(
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{
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"text": datasets.Value("string"),
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}
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)
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return datasets.DatasetInfo(
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# This is the description that will appear on the datasets page.
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description=_DESCRIPTION,
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# This defines the different columns of the dataset and their types
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features=features, # Here we define them above because they are different between the two configurations
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# If there's a common (input, target) tuple from the features,
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# specify them here. They'll be used if as_supervised=True in
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# builder.as_dataset.
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supervised_keys=None,
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# Homepage of the dataset for documentation
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homepage=_HOMEPAGE,
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# License for the dataset if available
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license=_LICENSE,
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# Citation for the dataset
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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# This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
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# If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
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# dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLs
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# It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
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# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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data_dir = dl_manager.download_and_extract(_URL)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": data_dir,
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"split": "train",
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},
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),
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]
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def _generate_examples(self, filepath, split):
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"""Yields examples as (key, example) tuples."""
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# This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
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with open(filepath, encoding="utf-8") as f:
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data = json.load(f)
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for id, pred in enumerate(data[split]):
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yield id, {"text": pred}
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default/comedy-scripts-train.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:b7be3a146b14148b6821d8d12c7c624039f1ab8266678e5d975bbe864487e3b1
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size 748778
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