---
language:
- en
license: apache-2.0
task_categories:
- text-classification
- text-generation
dataset_info:
  features:
  - name: metadata
    dtype: string
  - name: text
    dtype: string
  - name: category
    dtype: string
  splits:
  - name: train
    num_bytes: 146747420
    num_examples: 182531
  download_size: 72070745
  dataset_size: 146747420
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# Stanford Encyclopedia Philosophy

## Overview 

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.
This dataset contains the full text of all articles contained within the SEP.
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.

## Dataset Details


- Dataset Name: [Twitter US Airline Sentiment](https://www.kaggle.com/datasets/crowdflower/twitter-airline-sentiment)
- Language:  English
- Total Size: 14,640  demonstrations 

## Contents

The dataset consists of a data frame with the following columns:

- metadata
- label
- category

```bash
{
  "metadata": 0,
  "text": "",
  "category": 
}
```

## How to use

```python
from datasets import load_dataset

dataset = load_dataset("AiresPucrs/stanford-encyclopedia-philosophy", split='train')

```

## License

The Stanford-encyclopedia-philosophy Dataset is licensed under the Apache License, Version 2.0. See the LICENSE file for more details.

**Disclaimer**

This dataset is provided as is, without any warranty or guarantee of its accuracy or suitability for any purpose.
The creators and contributors of this dataset are not liable for any damages or losses arising from its use.
Please review and comply with the licenses and terms of the original datasets before use.