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huggingartists

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  2. README.md +204 -0
  3. bladee.py +107 -0
  4. datasets.json +3 -0
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README.md ADDED
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+ ---
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+ languages:
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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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+
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+ # Dataset Card for "huggingartists/bladee"
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+
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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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+
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+ ## Dataset Description
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+
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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:** 0.428949 MB
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+
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+
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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(&#39;https://images.genius.com/1abf6ff09c7c4209c458e5937b088aba.640x640x1.jpg&#39;)">
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+ </div>
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+ </div>
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+ <a href="https://huggingface.co/huggingartists/bladee">
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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">Bladee</div>
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+ <a href="https://genius.com/artists/bladee">
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+ <div style="text-align: center; font-size: 14px;">@bladee</div>
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+ </a>
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+ </div>
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+
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+ ### Dataset Summary
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+
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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/bladee).
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+
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+ ### Supported Tasks and Leaderboards
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+
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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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+
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+ ### Languages
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+
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+ en
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+
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+ ## How to use
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+
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+ How to load this dataset directly with the datasets library:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("huggingartists/bladee")
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+ ```
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+
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+ ## Dataset Structure
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+
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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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+ {
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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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+
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+ ### Data Fields
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+
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+ The data fields are the same among all splits.
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+
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+ - `text`: a `string` feature.
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+
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+
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+ ### Data Splits
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+
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+ | train |validation|test|
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+ |------:|---------:|---:|
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+ |318| -| -|
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+
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+ 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:
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+
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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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+
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+ datasets = load_dataset("huggingartists/bladee")
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+
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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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+
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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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+
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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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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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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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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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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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+
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+ #### Who are the source language producers?
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+
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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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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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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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+
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+ #### Who are the annotators?
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+
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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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+
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+ ### Personal and Sensitive Information
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+
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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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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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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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+
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+ ### Discussion of Biases
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+
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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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+
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+ ### Other Known Limitations
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+
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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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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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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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+
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+ ### Licensing Information
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+
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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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+
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+ ### Citation Information
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+
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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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+
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+
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+ ## About
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+
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+ *Built by Aleksey Korshuk*
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+
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+ [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk)
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+
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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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+
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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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+
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+ For more details, visit the project repository.
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+
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+ [![GitHub stars](https://img.shields.io/github/stars/AlekseyKorshuk/huggingartists?style=social)](https://github.com/AlekseyKorshuk/huggingartists)
bladee.py ADDED
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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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+
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+
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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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+
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+ import datasets
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+
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+
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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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+
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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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+
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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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+
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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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+
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+ _URL = "https://huggingface.co/datasets/huggingartists/bladee/resolve/main/datasets.json"
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+
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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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+
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+ VERSION = datasets.Version("1.0.0")
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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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