mapama247 commited on
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e1359c1
1 Parent(s): 2ca25a2

Delete loading script

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  1. wikihow_es.py +0 -114
wikihow_es.py DELETED
@@ -1,114 +0,0 @@
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- import os
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- import re
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- import csv
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- import json
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- import datasets
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-
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- _DESCRIPTION = "Spanish articles from WikiHow"
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- _HOMEPAGE = "https://www.wikihow.com"
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- _LICENSE = "CC BY-NC-SA 3.0"
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- _VERSION = "1.1.0"
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-
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- _DATAPATH = "wikihow_es.jsonl"
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-
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- _CATEGORIES = [
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- "salud",
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- "viajes",
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- "deportes",
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- "relaciones",
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- "pasatiempos",
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- "adolescentes",
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- "vida-familiar",
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- "en-el-trabajo",
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- "comida-y-diversión",
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- "finanzas-y-negocios",
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- "mascotas-y-animales",
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- "carreras-y-educación",
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- "filosofía-y-religión",
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- "arte-y-entretenimiento",
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- "en-la-casa-y-el-jardín",
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- "cuidado-y-estilo-personal",
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- "computadoras-y-electrónica",
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- "días-de-fiesta-y-tradiciones",
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- "automóviles-y-otros-vehículos",
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- ]
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-
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- def format_methods(methods, short=False):
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- EOL = "\n" if short else "\n\n"
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- formatted = []
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- for method in methods:
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- if method["title"].lower() != "pasos":
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- content = f"Método {method['number']}: {method['title']}{EOL}"
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- else:
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- content = f"Sigue los siguientes pasos:{EOL}"
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- for step in method["steps"]:
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- step_content = re.sub(r"\n+", "\n", step).strip()
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- if short:
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- step_content = step_content.split("\n")[0]
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- content += step_content + EOL
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- formatted.append(content.strip())
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- return formatted
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-
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-
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- class WikiHowEs(datasets.GeneratorBasedBuilder):
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- """ WikiHowEs: Collection of Spanish tutorials. """
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-
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- VERSION = datasets.Version(_VERSION)
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-
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- DEFAULT_CONFIG_NAME = "all"
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- BUILDER_CONFIGS = [datasets.BuilderConfig(name="all", version=VERSION, description="All articles from WikiHow-ES.")]
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- for _CAT in _CATEGORIES:
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- BUILDER_CONFIGS.append(
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- datasets.BuilderConfig(name=_CAT, version=VERSION, description=f"Articles from the category {_CAT}")
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- )
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-
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- @staticmethod
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- def _info():
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- features = datasets.Features(
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- {
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- "category": datasets.Value("string"),
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- "question": datasets.Value("string"),
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- "introduction": datasets.Value("string"),
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- "answers": datasets.features.Sequence(datasets.Value("string")),
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- "short_answers": datasets.features.Sequence(datasets.Value("string")),
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- "url": datasets.Value("string"),
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- "num_answers": datasets.Value("int32"),
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- "num_refs": datasets.Value("int32"),
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- "expert_author": datasets.Value("bool"),
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- }
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- )
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- return datasets.DatasetInfo(
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- description=_DESCRIPTION,
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- features=features,
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- homepage=_HOMEPAGE,
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- license=_LICENSE,
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- )
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-
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- @staticmethod
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- def _split_generators(dl_manager):
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- data_dir = dl_manager.download_and_extract(_DATAPATH)
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- return [
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- datasets.SplitGenerator(
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- name=datasets.Split.TRAIN,
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- gen_kwargs={
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- "filepath": data_dir,
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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):
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- with open(filepath, encoding="utf-8") as f:
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- for key, row in enumerate(f):
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- data = json.loads(row)
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- if self.config.name in ["all", data["category"].lower()]:
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- yield key, {
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- "category": data["category"],
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- "question": f"¿{data['title']}?",
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- "introduction": data["intro"],
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- "answers": format_methods(data["methods"], short=False),
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- "short_answers": format_methods(data["methods"], short=True),
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- "num_answers": data["num_methods"],
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- "num_refs": data["num_refs"],
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- "expert_author": data["expert_author"],
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- "url": data["url"],
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- }