Datasets:
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README.md
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dtype: int32
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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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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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## Dataset Structure
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The dataset contains the following columns:
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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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## License
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This dataset is licensed under the *[MIT License](https://mit-license.org/)*, allowing open and flexible use of the dataset for both academic and commercial purposes.
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dtype: int32
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<div style="text-align: center;">
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<img src="https://i.ibb.co/Ky0wcYy/abullard1-steam-review-constructiveness-classifier-logo-modified-1.png" style="max-width: 30%; display: block; margin: 0 auto;">
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</div>
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<div style="text-align: center;">
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<b></b><h1>1.5K Steam Reviews Binary Labeled for Constructiveness</h1></b>
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</div>
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<hr>
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## <u>Dataset Summary</u>
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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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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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## <u>Dataset Structure</u>
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The dataset contains the following columns:
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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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## <u>License</u>
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This dataset is licensed under the *[MIT License](https://mit-license.org/)*, allowing open and flexible use of the dataset for both academic and commercial purposes.
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