Convert dataset to Parquet

README.md

@@ -1,14 +1,14 @@
 ---
-pretty_name: WikiHow-ES
-license: cc-by-nc-sa-3.0
-size_categories: 1K<n<10K
 language: es
+license: cc-by-nc-sa-3.0
 multilinguality: monolingual
+size_categories: 1K<n<10K
 task_categories:
 - text-classification
 - question-answering
 - conversational
 - summarization
+pretty_name: WikiHow-ES
 tags:
 - Spanish
 - WikiHow
@@ -16,6 +16,609 @@ tags:
 - Tutorials
 - Step-By-Step
 - Instruction Tuning
+dataset_info:
+- config_name: adolescentes
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: introduction
+    dtype: string
+  - name: answers
+    sequence: string
+  - name: short_answers
+    sequence: string
+  - name: url
+    dtype: string
+  - name: num_answers
+    dtype: int32
+  - name: num_refs
+    dtype: int32
+  - name: expert_author
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 1991245
+    num_examples: 201
+  download_size: 1153947
+  dataset_size: 1991245
+- config_name: all
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: introduction
+    dtype: string
+  - name: answers
+    sequence: string
+  - name: short_answers
+    sequence: string
+  - name: url
+    dtype: string
+  - name: num_answers
+    dtype: int32
+  - name: num_refs
+    dtype: int32
+  - name: expert_author
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 70513673
+    num_examples: 7380
+  download_size: 38605450
+  dataset_size: 70513673
+- config_name: arte-y-entretenimiento
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: introduction
+    dtype: string
+  - name: answers
+    sequence: string
+  - name: short_answers
+    sequence: string
+  - name: url
+    dtype: string
+  - name: num_answers
+    dtype: int32
+  - name: num_refs
+    dtype: int32
+  - name: expert_author
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 2567138
+    num_examples: 254
+  download_size: 1438019
+  dataset_size: 2567138
+- config_name: automóviles-y-otros-vehículos
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: introduction
+    dtype: string
+  - name: answers
+    sequence: string
+  - name: short_answers
+    sequence: string
+  - name: url
+    dtype: string
+  - name: num_answers
+    dtype: int32
+  - name: num_refs
+    dtype: int32
+  - name: expert_author
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 890122
+    num_examples: 100
+  download_size: 480587
+  dataset_size: 890122
+- config_name: carreras-y-educación
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: introduction
+    dtype: string
+  - name: answers
+    sequence: string
+  - name: short_answers
+    sequence: string
+  - name: url
+    dtype: string
+  - name: num_answers
+    dtype: int32
+  - name: num_refs
+    dtype: int32
+  - name: expert_author
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 6020903
+    num_examples: 564
+  download_size: 3261593
+  dataset_size: 6020903
+- config_name: comida-y-diversión
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: introduction
+    dtype: string
+  - name: answers
+    sequence: string
+  - name: short_answers
+    sequence: string
+  - name: url
+    dtype: string
+  - name: num_answers
+    dtype: int32
+  - name: num_refs
+    dtype: int32
+  - name: expert_author
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 3602835
+    num_examples: 454
+  download_size: 1866935
+  dataset_size: 3602835
+- config_name: computadoras-y-electrónica
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: introduction
+    dtype: string
+  - name: answers
+    sequence: string
+  - name: short_answers
+    sequence: string
+  - name: url
+    dtype: string
+  - name: num_answers
+    dtype: int32
+  - name: num_refs
+    dtype: int32
+  - name: expert_author
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 5457681
+    num_examples: 821
+  download_size: 2647916
+  dataset_size: 5457681
+- config_name: cuidado-y-estilo-personal
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: introduction
+    dtype: string
+  - name: answers
+    sequence: string
+  - name: short_answers
+    sequence: string
+  - name: url
+    dtype: string
+  - name: num_answers
+    dtype: int32
+  - name: num_refs
+    dtype: int32
+  - name: expert_author
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 7368188
+    num_examples: 724
+  download_size: 4088837
+  dataset_size: 7368188
+- config_name: deportes
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: introduction
+    dtype: string
+  - name: answers
+    sequence: string
+  - name: short_answers
+    sequence: string
+  - name: url
+    dtype: string
+  - name: num_answers
+    dtype: int32
+  - name: num_refs
+    dtype: int32
+  - name: expert_author
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 1935432
+    num_examples: 201
+  download_size: 1028678
+  dataset_size: 1935432
+- config_name: días-de-fiesta-y-tradiciones
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: introduction
+    dtype: string
+  - name: answers
+    sequence: string
+  - name: short_answers
+    sequence: string
+  - name: url
+    dtype: string
+  - name: num_answers
+    dtype: int32
+  - name: num_refs
+    dtype: int32
+  - name: expert_author
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 920660
+    num_examples: 86
+  download_size: 534900
+  dataset_size: 920660
+- config_name: en-el-trabajo
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: introduction
+    dtype: string
+  - name: answers
+    sequence: string
+  - name: short_answers
+    sequence: string
+  - name: url
+    dtype: string
+  - name: num_answers
+    dtype: int32
+  - name: num_refs
+    dtype: int32
+  - name: expert_author
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 2313935
+    num_examples: 211
+  download_size: 1274004
+  dataset_size: 2313935
+- config_name: en-la-casa-y-el-jardín
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: introduction
+    dtype: string
+  - name: answers
+    sequence: string
+  - name: short_answers
+    sequence: string
+  - name: url
+    dtype: string
+  - name: num_answers
+    dtype: int32
+  - name: num_refs
+    dtype: int32
+  - name: expert_author
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 4311584
+    num_examples: 496
+  download_size: 2293097
+  dataset_size: 4311584
+- config_name: filosofía-y-religión
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: introduction
+    dtype: string
+  - name: answers
+    sequence: string
+  - name: short_answers
+    sequence: string
+  - name: url
+    dtype: string
+  - name: num_answers
+    dtype: int32
+  - name: num_refs
+    dtype: int32
+  - name: expert_author
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 2717929
+    num_examples: 264
+  download_size: 1547991
+  dataset_size: 2717929
+- config_name: finanzas-y-negocios
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: introduction
+    dtype: string
+  - name: answers
+    sequence: string
+  - name: short_answers
+    sequence: string
+  - name: url
+    dtype: string
+  - name: num_answers
+    dtype: int32
+  - name: num_refs
+    dtype: int32
+  - name: expert_author
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 5183587
+    num_examples: 459
+  download_size: 2761337
+  dataset_size: 5183587
+- config_name: mascotas-y-animales
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: introduction
+    dtype: string
+  - name: answers
+    sequence: string
+  - name: short_answers
+    sequence: string
+  - name: url
+    dtype: string
+  - name: num_answers
+    dtype: int32
+  - name: num_refs
+    dtype: int32
+  - name: expert_author
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 3224822
+    num_examples: 338
+  download_size: 1772324
+  dataset_size: 3224822
+- config_name: pasatiempos
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: introduction
+    dtype: string
+  - name: answers
+    sequence: string
+  - name: short_answers
+    sequence: string
+  - name: url
+    dtype: string
+  - name: num_answers
+    dtype: int32
+  - name: num_refs
+    dtype: int32
+  - name: expert_author
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 6366593
+    num_examples: 729
+  download_size: 3430327
+  dataset_size: 6366593
+- config_name: relaciones
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: introduction
+    dtype: string
+  - name: answers
+    sequence: string
+  - name: short_answers
+    sequence: string
+  - name: url
+    dtype: string
+  - name: num_answers
+    dtype: int32
+  - name: num_refs
+    dtype: int32
+  - name: expert_author
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 4053092
+    num_examples: 388
+  download_size: 2270175
+  dataset_size: 4053092
+- config_name: salud
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: introduction
+    dtype: string
+  - name: answers
+    sequence: string
+  - name: short_answers
+    sequence: string
+  - name: url
+    dtype: string
+  - name: num_answers
+    dtype: int32
+  - name: num_refs
+    dtype: int32
+  - name: expert_author
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 8334993
+    num_examples: 804
+  download_size: 4538289
+  dataset_size: 8334993
+- config_name: viajes
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: introduction
+    dtype: string
+  - name: answers
+    sequence: string
+  - name: short_answers
+    sequence: string
+  - name: url
+    dtype: string
+  - name: num_answers
+    dtype: int32
+  - name: num_refs
+    dtype: int32
+  - name: expert_author
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 1509893
+    num_examples: 139
+  download_size: 851347
+  dataset_size: 1509893
+- config_name: vida-familiar
+  features:
+  - name: category
+    dtype: string
+  - name: question
+    dtype: string
+  - name: introduction
+    dtype: string
+  - name: answers
+    sequence: string
+  - name: short_answers
+    sequence: string
+  - name: url
+    dtype: string
+  - name: num_answers
+    dtype: int32
+  - name: num_refs
+    dtype: int32
+  - name: expert_author
+    dtype: bool
+  splits:
+  - name: train
+    num_bytes: 1743050
+    num_examples: 147
+  download_size: 984068
+  dataset_size: 1743050
+configs:
+- config_name: adolescentes
+  data_files:
+  - split: train
+    path: adolescentes/train-*
+- config_name: all
+  data_files:
+  - split: train
+    path: all/train-*
+  default: true
+- config_name: arte-y-entretenimiento
+  data_files:
+  - split: train
+    path: arte-y-entretenimiento/train-*
+- config_name: automóviles-y-otros-vehículos
+  data_files:
+  - split: train
+    path: automóviles-y-otros-vehículos/train-*
+- config_name: carreras-y-educación
+  data_files:
+  - split: train
+    path: carreras-y-educación/train-*
+- config_name: comida-y-diversión
+  data_files:
+  - split: train
+    path: comida-y-diversión/train-*
+- config_name: computadoras-y-electrónica
+  data_files:
+  - split: train
+    path: computadoras-y-electrónica/train-*
+- config_name: cuidado-y-estilo-personal
+  data_files:
+  - split: train
+    path: cuidado-y-estilo-personal/train-*
+- config_name: deportes
+  data_files:
+  - split: train
+    path: deportes/train-*
+- config_name: días-de-fiesta-y-tradiciones
+  data_files:
+  - split: train
+    path: días-de-fiesta-y-tradiciones/train-*
+- config_name: en-el-trabajo
+  data_files:
+  - split: train
+    path: en-el-trabajo/train-*
+- config_name: en-la-casa-y-el-jardín
+  data_files:
+  - split: train
+    path: en-la-casa-y-el-jardín/train-*
+- config_name: filosofía-y-religión
+  data_files:
+  - split: train
+    path: filosofía-y-religión/train-*
+- config_name: finanzas-y-negocios
+  data_files:
+  - split: train
+    path: finanzas-y-negocios/train-*
+- config_name: mascotas-y-animales
+  data_files:
+  - split: train
+    path: mascotas-y-animales/train-*
+- config_name: pasatiempos
+  data_files:
+  - split: train
+    path: pasatiempos/train-*
+- config_name: relaciones
+  data_files:
+  - split: train
+    path: relaciones/train-*
+- config_name: salud
+  data_files:
+  - split: train
+    path: salud/train-*
+- config_name: viajes
+  data_files:
+  - split: train
+    path: viajes/train-*
+- config_name: vida-familiar
+  data_files:
+  - split: train
+    path: vida-familiar/train-*
 ---
 
 ### Dataset Summary

wikihow_es.jsonl → adolescentes/train-00000-of-00001.parquet

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-size 66088317
+oid sha256:9b55b8b957b4431670dd812b192150bf6683077900f474ac81506aae256452d6
+size 1153947

all/train-00000-of-00001.parquet

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+oid sha256:134d448af5f7d3baf754f9cf4c208e097715f4b44d445169d6fdad5329957726
+size 38605450

arte-y-entretenimiento/train-00000-of-00001.parquet

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+size 1438019

automóviles-y-otros-vehículos/train-00000-of-00001.parquet

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+size 480587

carreras-y-educación/train-00000-of-00001.parquet

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+size 3261593

comida-y-diversión/train-00000-of-00001.parquet

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+size 1866935

computadoras-y-electrónica/train-00000-of-00001.parquet

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+size 2647916

cuidado-y-estilo-personal/train-00000-of-00001.parquet

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+size 4088837

deportes/train-00000-of-00001.parquet

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días-de-fiesta-y-tradiciones/train-00000-of-00001.parquet

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en-el-trabajo/train-00000-of-00001.parquet

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+size 1274004

en-la-casa-y-el-jardín/train-00000-of-00001.parquet

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+size 2293097

filosofía-y-religión/train-00000-of-00001.parquet

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+size 1547991

finanzas-y-negocios/train-00000-of-00001.parquet

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mascotas-y-animales/train-00000-of-00001.parquet

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pasatiempos/train-00000-of-00001.parquet

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+size 3430327

relaciones/train-00000-of-00001.parquet

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+size 2270175

salud/train-00000-of-00001.parquet

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+size 4538289

viajes/train-00000-of-00001.parquet

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vida-familiar/train-00000-of-00001.parquet

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+size 984068

wikihow_es.py

@@ -1,114 +0,0 @@
-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"],
-                    }