Update README.md

README.md

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 ## <u>Dataset Summary</u>
 
 This dataset contains **1,461 Steam reviews** from **10 of the most reviewed games**. Each game has about the same amount of reviews. Each review is annotated with a **binary label** indicating whether the review is **constructive** or not. The dataset is designed to support tasks related to **text classification**, particularly **constructiveness detection** tasks in the gaming domain.
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 Also available as additional data, are **train/dev/test split** csv's. These contain the features of the base dataset, concatenated into strings, next to the binary constructiveness labels. These csv's were used to train the [albert-v2-steam-review-constructiveness-classifier](https://huggingface.co/abullard1/albert-v2-steam-review-constructiveness-classifier) model.
-The dataset is particularly useful for training models like **BERT**, and its' derivatives or any other NLP models aimed at classifying text.
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+The dataset is particularly useful for training models like **BERT**, and its' derivatives or any other NLP models aimed at classifying text for constructiveness.
 
 ## <u>Dataset Structure</u>