Update README.md

README.md

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   - split: train
     path: data/train-*
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+# Sentiment Analysis dataset
 
-- The `IMDB 50K` [dataset](https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews?select=IMDB+Dataset.csv): _0K movie reviews for natural language processing or Text analytics._
-- The `Twitter US Airline Sentiment` [dataset](https://www.kaggle.com/datasets/crowdflower/twitter-airline-sentiment): _originated from the  [Crowdflower's Data for Everyone library](http://www.crowdflower.com/data-for-everyone)._
-- Our `google_play_apps_review` _dataset: built using the `google_play_scraper` in [this notebook](https://github.com/Nkluge-correa/teeny-tiny_castle/blob/master/ML%20Explainability/NLP%20Interpreter/text_scraping.ipynb)._
-- The `EcoPreprocessed` [dataset](https://www.kaggle.com/datasets/pradeeshprabhakar/preprocessed-dataset-sentiment-analysis): _scrapped amazon product reviews_.
+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).