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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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_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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_DATAPATH = "wikihow_es.jsonl" |
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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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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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class WikiHowEs(datasets.GeneratorBasedBuilder): |
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""" WikiHowEs: Collection of Spanish tutorials. """ |
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VERSION = datasets.Version(_VERSION) |
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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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@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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@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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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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} |
