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README.md
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- split: train
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path: data/train-*
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license: other
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---
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# Stanford Encyclopedia Philosophy
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This dataset contains the full text of all articles contained within the SEP.
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Every row possesses information related to the original page (URL), the subject of the page (Category), and the text of the page (Text).
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This dataset can be used for NLP applications like text mining, classification, and generation.
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## Dataset Details
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We will create a text dataset using the articles from the [`Stanford Encyclopedia of Philosophy`](https://plato.stanford.edu/)
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```
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Title: The Stanford Encyclopedia of Philosophy
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https://plato.stanford.edu/
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Publisher:
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The Metaphysics Research Lab
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Philosophy Department
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Stanford University
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Stanford, CA 94305-4115
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International Standard Serial Number: ISSN 1095-5054
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```
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- Dataset Name: [stanford-encyclopedia-philosophy](https://huggingface.co/datasets/AiresPucrs/stanford-encyclopedia-philosophy)
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- Language: English
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- Total Size: 182,531 demonstrations
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## Contents
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The dataset consists of a data frame with the following columns:
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- metadata
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- label
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- category
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```bash
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{
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"metadata": https://plato.stanford.edu/entries/abduction/,
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"text": "See also the entry on scientific discovery, in particular the section on discovery as abduction.",
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"category": abduction
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}
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```
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## How to use
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```python
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from datasets import load_dataset
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dataset = load_dataset("AiresPucrs/stanford-encyclopedia-philosophy", split='train')
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```
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## License
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The Stanford Encyclopedia of Philosophy Dataset is licensed under the [Other](https://plato.stanford.edu/info.html).
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# Cite as
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```
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@misc{teenytinycastle,
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doi = {10.5281/zenodo.7112065},
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url = {https://github.com/Nkluge-correa/TeenyTinyCastle},
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author = {Nicholas Kluge Corr{\^e}a},
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title = {Teeny-Tiny Castle},
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year = {2024},
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publisher = {GitHub},
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journal = {GitHub repository}
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}
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```
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**Disclaimer**
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This dataset is provided as is, without any warranty or guarantee of its accuracy or suitability for any purpose.
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The creators and contributors of this dataset are not liable for any damages or losses arising from its use.
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Please review and comply with the licenses and terms of the original datasets before use.
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- split: train
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path: data/train-*
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license: other
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pretty_name: Stanford Encyclopedia Philosophy
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size_categories:
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- 100K<n<1M
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---
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# Stanford Encyclopedia Philosophy (Teeny-Tiny Castle)
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This dataset is part of the tutorial tied to the [Teeny-Tiny Castle](https://github.com/Nkluge-correa/TeenyTinyCastle), an open-source repository containing educational tools for AI Ethics and Safety research.
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## How to Use
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```python
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from datasets import load_dataset
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dataset = load_dataset("AiresPucrs/stanford-encyclopedia-philosophy", split = 'train')
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```
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