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@@ -103,7 +103,7 @@ The dataset contains the following columns:
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  - **Constructive (1)**: Reviews that provide helpful feedback, suggestions for improvement, constructive criticism, or detailed insights into the game.
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  - **Non-constructive (0)**: Reviews that do not offer useful feedback, do not offer substance, are vague, off-topic, irrelevant, or trolling.
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- Of course, constructiveness is subjective, when testing the dataset on a finetuned ROBERTA model though, we managed to reach about 80% accuracy in predicting constructiveness labels on unseen data.
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  ### Notes
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  Please note, that the **dataset is unbalanced**. **63.04%** of the reviews were labeled as being non-constructive while **36.96%** were labeled as being constructive. Please take this into account when utilizing the dataset.
 
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  - **Constructive (1)**: Reviews that provide helpful feedback, suggestions for improvement, constructive criticism, or detailed insights into the game.
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  - **Non-constructive (0)**: Reviews that do not offer useful feedback, do not offer substance, are vague, off-topic, irrelevant, or trolling.
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+ Of course, constructiveness is subjective, when testing the dataset on a finetuned ROBERTA model though, we managed to reach **~80% accuracy** in predicting constructiveness labels on unseen data.
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  ### Notes
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  Please note, that the **dataset is unbalanced**. **63.04%** of the reviews were labeled as being non-constructive while **36.96%** were labeled as being constructive. Please take this into account when utilizing the dataset.