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@@ -19,39 +19,22 @@ configs:
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  path: data/train-*
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  language:
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  - en
 
 
 
 
 
 
 
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  ---
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- # Sentiment Analysis dataset
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- This dataset is a concatenation of the [`IMDB 50K`](https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews?select=IMDB+Dataset.csv), the [`Twitter US Airline Sentiment`](https://www.kaggle.com/datasets/crowdflower/twitter-airline-sentiment), App Reviews scraped from [Google Play](https://github.com/Nkluge-correa/teeny-tiny_castle/blob/master/ML%20Explainability/NLP%20Interpreter/text_scraping.ipynb), and the [`EcoPreprocessed`](https://www.kaggle.com/datasets/pradeeshprabhakar/preprocessed-dataset-sentiment-analysis).
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- ## Overview
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-
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-
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- ## Dataset Details
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-
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-
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- **Citation:**
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- ```latex
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-
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- ```
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- ## Contents
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-
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- The dataset consists of a data frame with the following columns:
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-
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- -**text:**
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-
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- -**label:**
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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/sentiment-analysis", split='train')
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-
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  ```
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-
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- ## License
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-
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- This dataset is licensed under the Apache License 2.0.
 
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  path: data/train-*
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  language:
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  - en
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+ task_categories:
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+ - text-classification
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+ tags:
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+ - sentiment
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+ pretty_name: Sentiment Analysis
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+ size_categories:
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+ - 10K<n<100K
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  ---
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+ # Sentiment Analysis (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/sentiment-analysis", split = 'train')
 
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  ```