Delete letras-carnaval-cadiz.py
Browse files- letras-carnaval-cadiz.py +0 -72
letras-carnaval-cadiz.py
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from datasets import DatasetBuilder, SplitGenerator, Split, Features, Value, Sequence, BuilderConfig, GeneratorBasedBuilder
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import datasets
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from datasets.utils.download_manager import DownloadManager
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from typing import List, Any, Tuple
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import json
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import os
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# Mapping for song_type and group_type
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song_type_mapping = {
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1: "presentación",
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2: "pasodoble/tango",
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3: "cuplé",
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4: "estribillo",
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5: "popurrí",
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6: "cuarteta",
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}
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group_type_mapping = {
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1: "coro",
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2: "comparsa",
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3: "chirigota",
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4: "cuarteto",
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}
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class CadizCarnivalConfig(BuilderConfig):
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def __init__(self, **kwargs):
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super().__init__(version=datasets.Version("1.0.2"), **kwargs)
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class CadizCarnivalDataset(GeneratorBasedBuilder):
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VERSION = "1.0.0"
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BUILDER_CONFIGS = [
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CadizCarnivalConfig(name="accurate", description="This part of my dataset covers accurate data"),
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CadizCarnivalConfig(name="midaccurate", description="This part of my dataset covers midaccurate data"),
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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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"id": Value("string"),
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"authors": Sequence(Value("string")),
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"song_type": Value("string"),
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"year": Value("string"),
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"group": Value("string"),
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"group_type": Value("string"),
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"lyrics": Sequence(Value("string")),
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}),
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supervised_keys=None,
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homepage="https://letrascarnavalcadiz.com/",
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citation="_CITATION",
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)
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def _split_generators(self, dl_manager: DownloadManager) -> List[SplitGenerator]:
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urls_to_download = {
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"accurate": "https://huggingface.co/datasets/IES-Rafael-Alberti/letras-carnaval-cadiz/raw/main/data/accurate-00000-of-00001.json",
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"midaccurate": "https://huggingface.co/datasets/IES-Rafael-Alberti/letras-carnaval-cadiz/raw/main/data/midaccurate-00000-of-00001.json"
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}
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downloaded_files = dl_manager.download_and_extract(urls_to_download)
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return [
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SplitGenerator(name="accurate", gen_kwargs={"filepath": downloaded_files["accurate"]}),
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SplitGenerator(name="midaccurate", gen_kwargs={"filepath": downloaded_files["midaccurate"]}),
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]
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def _generate_examples(self, filepath: str):
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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 item in data:
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item["song_type"] = song_type_mapping.get(item["song_type"], "indefinido")
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item["group_type"] = group_type_mapping.get(item["group_type"], "indefinido")
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yield item["id"], item
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