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README.md
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path: data/train-*
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---
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The Stanford Encyclopedia of Philosophy (SEP) is a dynamic reference work, including over 1,770 entries written by top scholars in the field of philosophy.
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This dataset contains the full text of all articles contained within the SEP.
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The Stanford-encyclopedia-philosophy Dataset is licensed under the Apache License, Version 2.0. See the LICENSE file for more details.
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---
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# Stanford Encyclopedia Philosophy
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## Overview
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The Stanford Encyclopedia of Philosophy (SEP) is a dynamic reference work, including over 1,770 entries written by top scholars in the field of 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). This dataset can be used for NLP applications like text mining, classification, and generation.
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## Dataset Details
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- Dataset Name: [Twitter US Airline Sentiment](https://www.kaggle.com/datasets/crowdflower/twitter-airline-sentiment)
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- Language: English
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- Total Size: 14,640 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": 0,
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"text": "",
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"category":
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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-philosophy Dataset is licensed under the Apache License, Version 2.0. See the LICENSE file for more details.
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