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--- |
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pretty_name: WikiHow-ES |
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license: cc-by-nc-sa-3.0 |
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size_categories: 1K<n<10K |
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language: es |
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multilinguality: monolingual |
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task_categories: |
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- text-classification |
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- question-answering |
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- conversational |
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- summarization |
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tags: |
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- Spanish |
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- WikiHow |
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- Wiki Articles |
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- Tutorials |
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- Step-By-Step |
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- Instruction Tuning |
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--- |
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### Dataset Summary |
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Articles retrieved from the [Spanish WikiHow website](https://es.wikihow.com) on September 2023. |
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Each article contains a tutorial about a specific topic. The format is always a "How to" question |
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followed by a detailed step-by-step explanation. In some cases, the response includes several methods. |
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The main idea is to use this data for instruction tuning of Spanish LLMs, but given its nature it |
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could also be used for other tasks such as text classification or summarization. |
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### Languages |
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- Spanish (ES) |
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### Usage |
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To load the full dataset: |
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```python |
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from datasets import load_dataset |
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all_articles = load_dataset("mapama247/wikihow_es", trust_remote_code=True) |
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print(all_articles.num_rows) # output: {'train': 7380} |
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``` |
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To load only examples from a specific category: |
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```python |
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from datasets import load_dataset |
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sports_articles = load_dataset("mapama247/wikihow_es", "deportes") |
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print(sports_articles.num_rows) # output: {'train': 201} |
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``` |
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List of available categories, with the repective number of examples: |
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``` |
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computadoras-y-electrónica 821 |
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salud 804 |
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pasatiempos 729 |
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cuidado-y-estilo-personal 724 |
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carreras-y-educación 564 |
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en-la-casa-y-el-jardín 496 |
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finanzas-y-negocios 459 |
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comida-y-diversión 454 |
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relaciones 388 |
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mascotas-y-animales 338 |
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filosofía-y-religión 264 |
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arte-y-entretenimiento 254 |
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en-el-trabajo 211 |
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adolescentes 201 |
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deportes 201 |
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vida-familiar 147 |
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viajes 139 |
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automóviles-y-otros-vehículos 100 |
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días-de-fiesta-y-tradiciones 86 |
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``` |
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### Supported Tasks |
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This dataset can be used to train a model for... |
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- `instruction-tuning` |
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- `text-classification` |
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- `question-answering` |
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- `conversational` |
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- `summarization` |
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## Dataset Structure |
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### Data Instances |
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```python |
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{ |
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'category': str, |
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'question': str, |
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'introduction': str, |
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'answers': List[str], |
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'short_answers': List[str], |
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'url': str, |
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'num_answers': int, |
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'num_refs': int, |
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'expert_author': bool, |
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} |
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``` |
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### Data Fields |
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- `category`: The category (from [this list](https://es.wikihow.com/Especial:CategoryListing)) to which the example belongs to. |
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- `label`: Numerical representation of the category, for text classification purposes. |
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- `question`: The article's title, which always starts with "¿Cómo ...". |
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- `introduction`: Introductory text that precedes the step-by-step explanation. |
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- `answers`: List of complete answers, with the full explanation of each step. |
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- `short_answers`: List of shorter answers that only contain one-sentence steps. |
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- `num_answers`: The number of alternative answers provided (e.g. length of `answers`). |
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- `num_ref`: Number of references provided in the article. |
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- `expert_authors`: Whether the article's author claims to be an expert on the topic or not. |
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- `url`: The URL address of the original article. |
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### Data Splits |
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There is only one split (`train`) that contains a total of 7,380 examples. |
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## Dataset Creation |
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### Curation Rationale |
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This dataset was created for language model alignment to end tasks and user preferences. |
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### Source Data |
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How-To questions with detailed step-by-step answers, retrieved from the WikiHow website. |
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#### Data Collection and Normalization |
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All articles available in September 2023 were extracted, no filters applied. |
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Along with the article's content, some metadata was retrieved as well. |
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#### Source language producers |
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WikiHow users. All the content is human-generated. |
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### Personal and Sensitive Information |
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The data does not include personal or sensitive information. |
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## Considerations |
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### Social Impact |
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The Spanish community can benefit from the high-quality data provided by this dataset. |
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### Bias |
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No post-processing steps have been applied to mitigate potential social biases. |
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## Additional Information |
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### Curators |
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Marc Pàmes @ Barcelona Supercomputing Center. |
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### License |
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This dataset is licensed under a **Creative Commons CC BY-NC-SA 3.0** license. |
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Quote from [WikiHow's Terms of Use](https://www.wikihow.com/wikiHow:Terms-of-Use): |
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> All text posted by Users to the Service is sub-licensed by wikiHow to other Users under a Creative Commons license as |
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> provided herein. The Creative Commons license allows such user generated text content to be used freely for personal, |
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> non-commercial purposes, so long as it is used and attributed to the original author as specified under the terms of |
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> the license. Allowing free republication of our articles helps wikiHow achieve its mission by providing instruction |
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> on solving the problems of everyday life to more people for free. In order to support this goal, wikiHow hereby grants |
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> each User of the Service a license to all text content that Users contribute to the Service under the terms and |
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> conditions of a Creative Commons CC BY-NC-SA 3.0 License. Please be sure to read the terms of the license carefully. |
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> You continue to own all right, title, and interest in and to your User Content, and you are free to distribute it as |
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> you wish, whether for commercial or non-commercial purposes. |
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