Datasets:
File size: 3,858 Bytes
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import os
import re
import csv
import json
import datasets
_DESCRIPTION = "Spanish articles from WikiHow"
_HOMEPAGE = "https://www.wikihow.com"
_LICENSE = "CC BY-NC-SA 3.0"
_VERSION = "1.1.0"
_DATAPATH = "wikihow_es.jsonl"
_CATEGORIES = [
"salud",
"viajes",
"deportes",
"relaciones",
"pasatiempos",
"adolescentes",
"vida-familiar",
"en-el-trabajo",
"comida-y-diversión",
"finanzas-y-negocios",
"mascotas-y-animales",
"carreras-y-educación",
"filosofía-y-religión",
"arte-y-entretenimiento",
"en-la-casa-y-el-jardín",
"cuidado-y-estilo-personal",
"computadoras-y-electrónica",
"días-de-fiesta-y-tradiciones",
"automóviles-y-otros-vehículos",
]
def format_methods(methods, short=False):
EOL = "\n" if short else "\n\n"
formatted = []
for method in methods:
if method["title"].lower() != "pasos":
content = f"Método {method['number']}: {method['title']}{EOL}"
else:
content = f"Sigue los siguientes pasos:{EOL}"
for step in method["steps"]:
step_content = re.sub(r"\n+", "\n", step).strip()
if short:
step_content = step_content.split("\n")[0]
content += step_content + EOL
formatted.append(content.strip())
return formatted
class WikiHowEs(datasets.GeneratorBasedBuilder):
""" WikiHowEs: Collection of Spanish tutorials. """
VERSION = datasets.Version(_VERSION)
DEFAULT_CONFIG_NAME = "all"
BUILDER_CONFIGS = [datasets.BuilderConfig(name="all", version=VERSION, description="All articles from WikiHow-ES.")]
for _CAT in _CATEGORIES:
BUILDER_CONFIGS.append(
datasets.BuilderConfig(name=_CAT, version=VERSION, description=f"Articles from the category {_CAT}")
)
@staticmethod
def _info():
features = datasets.Features(
{
"category": datasets.Value("string"),
"question": datasets.Value("string"),
"introduction": datasets.Value("string"),
"answers": datasets.features.Sequence(datasets.Value("string")),
"short_answers": datasets.features.Sequence(datasets.Value("string")),
"url": datasets.Value("string"),
"num_answers": datasets.Value("int32"),
"num_refs": datasets.Value("int32"),
"expert_author": datasets.Value("bool"),
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
homepage=_HOMEPAGE,
license=_LICENSE,
)
@staticmethod
def _split_generators(dl_manager):
data_dir = dl_manager.download_and_extract(_DATAPATH)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": data_dir,
},
),
]
def _generate_examples(self, filepath):
with open(filepath, encoding="utf-8") as f:
for key, row in enumerate(f):
data = json.loads(row)
if self.config.name in ["all", data["category"].lower()]:
yield key, {
"category": data["category"],
"question": f"¿{data['title']}?",
"introduction": data["intro"],
"answers": format_methods(data["methods"], short=False),
"short_answers": format_methods(data["methods"], short=True),
"num_answers": data["num_methods"],
"num_refs": data["num_refs"],
"expert_author": data["expert_author"],
"url": data["url"],
} |