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README.md
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---
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language:
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- en
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tags:
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- huggingartists
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- lyrics
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---
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# Dataset Card for "huggingartists/john-k-samson"
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [How to use](#how-to-use)
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- [Dataset Structure](#dataset-structure)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [About](#about)
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## Dataset Description
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- **Homepage:** [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists)
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- **Repository:** [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists)
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- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Size of the generated dataset:** 0.128555 MB
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<div class="inline-flex flex-col" style="line-height: 1.5;">
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<div class="flex">
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<div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/0af64278d82733c4487d404fd3703ef7.894x894x1.jpg')">
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</div>
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</div>
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<a href="https://huggingface.co/huggingartists/john-k-samson">
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<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div>
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</a>
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<div style="text-align: center; font-size: 16px; font-weight: 800">John K. Samson</div>
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<a href="https://genius.com/artists/john-k-samson">
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<div style="text-align: center; font-size: 14px;">@john-k-samson</div>
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</a>
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</div>
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### Dataset Summary
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The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.
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Model is available [here](https://huggingface.co/huggingartists/john-k-samson).
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### Supported Tasks and Leaderboards
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Languages
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en
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## How to use
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How to load this dataset directly with the datasets library:
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```python
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from datasets import load_dataset
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dataset = load_dataset("huggingartists/john-k-samson")
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```
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## Dataset Structure
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An example of 'train' looks as follows.
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```
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This example was too long and was cropped:
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{
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"text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..."
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}
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```
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### Data Fields
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The data fields are the same among all splits.
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- `text`: a `string` feature.
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### Data Splits
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| train |validation|test|
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|------:|---------:|---:|
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|116| -| -|
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'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:
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```python
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from datasets import load_dataset, Dataset, DatasetDict
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import numpy as np
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datasets = load_dataset("huggingartists/john-k-samson")
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train_percentage = 0.9
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validation_percentage = 0.07
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test_percentage = 0.03
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train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])*train_percentage), int(len(datasets['train']['text'])*(train_percentage + validation_percentage))])
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datasets = DatasetDict(
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{
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'train': Dataset.from_dict({'text': list(train)}),
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'validation': Dataset.from_dict({'text': list(validation)}),
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'test': Dataset.from_dict({'text': list(test)})
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}
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)
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```
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## Dataset Creation
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### Curation Rationale
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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#### Who are the source language producers?
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Annotations
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#### Annotation process
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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#### Who are the annotators?
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Personal and Sensitive Information
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Discussion of Biases
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Other Known Limitations
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## Additional Information
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### Dataset Curators
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Licensing Information
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Citation Information
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```
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@InProceedings{huggingartists,
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author={Aleksey Korshuk}
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year=2021
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}
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```
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## About
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*Built by Aleksey Korshuk*
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[![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk)
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[![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk)
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[![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky)
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For more details, visit the project repository.
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[![GitHub stars](https://img.shields.io/github/stars/AlekseyKorshuk/huggingartists?style=social)](https://github.com/AlekseyKorshuk/huggingartists)
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datasets.json → default/john-k-samson-train.parquet
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version https://git-lfs.github.com/spec/v1
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size
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oid sha256:fe6a8023364b136c644cf37fd355aef8024d6b6639d8ab129ba214627e3cfa62
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john-k-samson.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 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/huggingartists/john-k-samson/resolve/main/datasets.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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-
}
|
60 |
-
)
|
61 |
-
return datasets.DatasetInfo(
|
62 |
-
# This is the description that will appear on the datasets page.
|
63 |
-
description=_DESCRIPTION,
|
64 |
-
# This defines the different columns of the dataset and their types
|
65 |
-
features=features, # Here we define them above because they are different between the two configurations
|
66 |
-
# If there's a common (input, target) tuple from the features,
|
67 |
-
# specify them here. They'll be used if as_supervised=True in
|
68 |
-
# builder.as_dataset.
|
69 |
-
supervised_keys=None,
|
70 |
-
# Homepage of the dataset for documentation
|
71 |
-
homepage=_HOMEPAGE,
|
72 |
-
# License for the dataset if available
|
73 |
-
license=_LICENSE,
|
74 |
-
# Citation for the dataset
|
75 |
-
citation=_CITATION,
|
76 |
-
)
|
77 |
-
|
78 |
-
def _split_generators(self, dl_manager):
|
79 |
-
"""Returns SplitGenerators."""
|
80 |
-
# This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
|
81 |
-
# If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
|
82 |
-
|
83 |
-
# dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLs
|
84 |
-
# 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.
|
85 |
-
# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
|
86 |
-
|
87 |
-
data_dir = dl_manager.download_and_extract(_URL)
|
88 |
-
return [
|
89 |
-
datasets.SplitGenerator(
|
90 |
-
name=datasets.Split.TRAIN,
|
91 |
-
# These kwargs will be passed to _generate_examples
|
92 |
-
gen_kwargs={
|
93 |
-
"filepath": data_dir,
|
94 |
-
"split": "train",
|
95 |
-
},
|
96 |
-
),
|
97 |
-
]
|
98 |
-
|
99 |
-
|
100 |
-
def _generate_examples(self, filepath, split):
|
101 |
-
"""Yields examples as (key, example) tuples."""
|
102 |
-
# This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
|
103 |
-
|
104 |
-
with open(filepath, encoding="utf-8") as f:
|
105 |
-
data = json.load(f)
|
106 |
-
for id, pred in enumerate(data[split]):
|
107 |
-
yield id, {"text": pred}
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