Update README.md

README.md

@@ -23,55 +23,16 @@ language:
 - en
 size_categories:
 - 1K<n<10K
+pretty_name: Compare Models
 ---
-# Compare Models
+# Compare Models (Teeny-Tiny Castle)
 
-## Overview 
-This dataset is a reduced version of [Tweets Dataset](https://huggingface.co/datasets/AiresPucrs/tweets).
-Which in turn is a reduced version of the original dataset:[Crowdflower's Data for Everyone library](https://data.world/crowdflower).
-This dataset contains texts from customers posted on Twitter regarding their air travel experiences,
-whether they were upset, neutral, or satisfied with the trip and the airline's service.
+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. 
 
-## Dataset Details
-
-This version contains whether the sentiment of the tweets in this set was positive, neutral, or negative.
-The dataset was used in
-this notebook [model_extraction_nlp](https://github.com/Nkluge-correa/TeenyTinyCastle/blob/master/ML-Adversarial/model_extraction_nlp.ipynb).
-- Dataset Name: compare-models
-- Language:  English
-- Total Size: 1,464 
-
-## Contents
-
-The dataset consists of a data frame with the following column:
-
-- text
-- sentiment
-
-```bash
-{
-  "text": "usairways how is it that my flt to ewr was cancelled flightled yet flts to nyc from usairways are still flying",
-  "sentiment:" 0,
-
-  "text: " "jetblue do they have to depart from washington dc",
-  "sentiment:" 1,
-
-  "text: " "southwestair youre my early frontrunner for best airline oscars2016",
-  "sentiment:" 2,
-
-
-}
-```
-
-## How to use
+## How to Use
 
 ```python
 from datasets import load_dataset
 
-dataset = load_dataset('AiresPucrs/compare-models', split='train')
-
+dataset = load_dataset("AiresPucrs/compare-models", split = 'train')
 ```
-
-## License
-
-This dataset is licensed under the Apache License, version 2.0.