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README.md

@@ -1,188 +0,0 @@
----
-language:
-- en
-tags:
-- huggingartists
-- lyrics
----
-
-# Dataset Card for "huggingartists/nirvana"
-
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [How to use](#how-to-use)
-- [Dataset Structure](#dataset-structure)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-
-## Dataset Description
-
-- **Homepage:** [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists)
-- **Repository:** [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists)
-- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Size of the generated dataset:** 0.336531 MB
-
-
- <div class="inline-flex flex-col" style="line-height: 1.5;">
-    <div class="flex">
-        <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/4c1373962cfc3a668a3e30da9a76a34c.640x640x1.jpg&#39;)">
-        </div>
-    </div>
-    <a href="https://huggingface.co/huggingartists/nirvana">
-      <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div>
-    </a>
-    <div style="text-align: center; font-size: 16px; font-weight: 800">Nirvana</div>
-    <a href="https://genius.com/artists/nirvana">
-    	<div style="text-align: center; font-size: 14px;">@nirvana</div>
-    </a>
-</div>
-
-### Dataset Summary
-
- The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.
- Model is available [here](https://huggingface.co/huggingartists/nirvana).
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Languages
-
-en
-
-## How to use
-
-How to load this dataset directly with the datasets library:
-
-```python
-from datasets import load_dataset
-
-dataset = load_dataset("huggingartists/nirvana")
-```
-
-## Dataset Structure
-
-An example of 'train' looks as follows.
-```
-This example was too long and was cropped:
-
-{
-    "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..."
-}
-```
-
-### Data Fields
-
-The data fields are the same among all splits.
-
-- `text`: a `string` feature.
-
-
-### Data Splits
-
-| train |validation|test|
-|------:|---------:|---:|
-|TRAIN_0.336531|         -|   -|
-
-'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:
-
-```python
-from datasets import load_dataset, Dataset, DatasetDict
-import numpy as np
-
-datasets = load_dataset("huggingartists/nirvana")
-
-train_percentage = 0.9
-validation_percentage = 0.07
-test_percentage = 0.03
-
-train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])*train_percentage), int(len(datasets['train']['text'])*(train_percentage + validation_percentage))])
-
-datasets = DatasetDict(
-    {
-        'train': Dataset.from_dict({'text': list(train)}),
-        'validation': Dataset.from_dict({'text': list(validation)}),
-        'test': Dataset.from_dict({'text': list(test)})
-    }
-)
-```
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the source language producers?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the annotators?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Personal and Sensitive Information
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Discussion of Biases
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Other Known Limitations
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Licensing Information
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Citation Information
-
-```
-@InProceedings{huggingartists,
-    author={Aleksey Korshuk}
-    year=2021
-}
-```

datasets.json

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-version https://git-lfs.github.com/spec/v1
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-size 309320

nirvana.py

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-# coding=utf-8
-# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# 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.
-"""Lyrics dataset parsed from Genius"""
-
-
-import csv
-import json
-import os
-import gzip
-
-import datasets
-
-
-_CITATION = """\
-@InProceedings{huggingartists:dataset,
-title = {Lyrics dataset},
-author={Aleksey Korshuk
-},
-year={2021}
-}
-"""
-
-
-_DESCRIPTION = """\
-This dataset is designed to generate lyrics with HuggingArtists.
-"""
-
-# Add a link to an official homepage for the dataset here
-_HOMEPAGE = "https://github.com/AlekseyKorshuk/huggingartists"
-
-# Add the licence for the dataset here if you can find it
-_LICENSE = "All rights belong to copyright holders"
-
-_URL = "https://huggingface.co/datasets/huggingartists/nirvana/resolve/main/datasets.json"
-
-# Name of the dataset
-class LyricsDataset(datasets.GeneratorBasedBuilder):
-    """Lyrics dataset"""
-
-    VERSION = datasets.Version("1.0.0")
-
-    def _info(self):
-        # This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
-        features = datasets.Features(
-                {
-                    "text": datasets.Value("string"),
-                }
-            )
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            # This defines the different columns of the dataset and their types
-            features=features,  # Here we define them above because they are different between the two configurations
-            # If there's a common (input, target) tuple from the features,
-            # specify them here. They'll be used if as_supervised=True in
-            # builder.as_dataset.
-            supervised_keys=None,
-            # Homepage of the dataset for documentation
-            homepage=_HOMEPAGE,
-            # License for the dataset if available
-            license=_LICENSE,
-            # Citation for the dataset
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        # This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
-        # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
-
-        # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLs
-        # 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.
-        # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
-
-        data_dir = dl_manager.download_and_extract(_URL)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": data_dir,
-                    "split": "train",
-                },
-            ),
-        ]
-        
-
-    def _generate_examples(self, filepath, split):
-        """Yields examples as (key, example) tuples."""
-        # This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
-        
-        with open(filepath, encoding="utf-8") as f:
-            data = json.load(f)
-            for id, pred in enumerate(data[split]):
-                yield id, {"text": pred}