Update README.md

README.md

@@ -20,8 +20,26 @@ dataset_info:
     num_bytes: 18994182.36412781
     num_examples: 46394
   download_size: 53587175
-  dataset_size: 94970093.0
+  dataset_size: 94970093
+license: mit
+task_categories:
+- text-classification
+language:
+- en
+pretty_name: Suicidal Tendency Prediction Dataset
+size_categories:
+- 100K<n<1M
 ---
 # Dataset Card for "phr_suicide_prediction_dataset_clean"
-
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- The dataset is sourced from Reddit and is available on [Kaggle](https://www.kaggle.com/datasets/nikhileswarkomati/suicide-watch).
+- The dataset contains text with binary labels for suicide or non-suicide.   
+- The dataset was cleaned and following steps were applied
+  - Converted to lowercase
+  - Removed numbers and special characters.
+  - Removed URLs, Emojis and accented characters.
+  - Removed any word contractions.
+  - Remove any extra white spaces and any extra spaces after a single space.
+  - Removed any consecutive characters repeated more than 3 times.
+  - Tokenised the text, then lemmatized it and then removed the stopwords (excluding not).
+  - The `class_label` column was renamed to `label` for use with trainer API.
+- The evaluation set had ~23000 samples, while the training set had ~186k samples, i.e. a 80:10:10 (train:test:val) split.