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@@ -27,3 +27,15 @@ configs:
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  - split: val
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  path: data/val-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - split: val
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  path: data/val-*
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  ---
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+ ## Dataset Card for "vibhorag101/suicide_prediction_dataset_phr"
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+ - The dataset is sourced from Reddit and is available on [Kaggle](https://www.kaggle.com/datasets/nikhileswarkomati/suicide-watch).
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+ - The dataset contains text with binary labels for suicide or non-suicide.
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+ - The dataset was cleaned minimally, as BERT depends on contextually sensitive information, which can worsely effect its performance.
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+ - Removed numbers
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+ - Removed URLs, Emojis, and accented characters.
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+ - Remove any extra white spaces and any extra spaces after a single space.
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+ - Removed any consecutive characters repeated more than 3 times.
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+ - The rows with more than 512 BERT Tokens were removed, as they exceeded BERT's max token limit.
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+ - The cleaned dataset can be found [here](https://huggingface.co/datasets/vibhorag101/phr_suicide_prediction_dataset_clean_light)
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+ - The evaluation set had ~33k samples, while the training set had ~153k samples, i.e., a 70:15:15 (train:test:val) split.