Duplicate from Washii/Cyberbullying-Detection-CB1

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README.md

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+---
+language:
+- en
+license: unknown
+task_categories:
+- text-classification
+task_ids:
+- multi-class-classification
+tags:
+- cyberbullying
+- hate-speech
+- social-media
+- twitter
+pretty_name: Cyberbullying Detection CB1
+size_categories:
+- 10K<n<100K
+---
+
+# Cyberbullying Detection — CB1
+
+## Dataset Description
+
+**CB1** is a multi-class text classification dataset for automated cyberbullying detection on social media. Each instance is a single social media post (sourced from Twitter/X) annotated with a cyberbullying category.
+
+This dataset is part of the **Cyberbullying-Detection** collection on Hugging Face.
+
+---
+
+## Dataset Structure
+
+### Data Fields
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `text` | `string` | Raw social media post text |
+| `label` | `string` | Cyberbullying category (see label list below) |
+
+### Label Classes
+
+| Label | Description |
+|-------|-------------|
+| `not_cyberbullying` | Post does not contain cyberbullying content |
+| `ethnicity/race` | Cyberbullying targeting ethnicity or race |
+| `religion` | Cyberbullying targeting religion or religious identity |
+| `gender/sexual` | Cyberbullying targeting gender or sexual orientation |
+| `age` | Cyberbullying targeting age |
+| `other_cyberbullying` | Cyberbullying not fitting the above categories |
+
+---
+
+## Dataset Splits
+
+The dataset is split as follows:
+
+| Split | Size | Description |
+|-------|------|-------------|
+| `train` | 75% of total | Training set |
+| `validation` | 2,000 rows | Development / validation set (sampled from the 25% held-out portion) |
+| `test` | Remaining ~25% minus 2,000 | Test set |
+
+### Split Methodology
+
+```python
+from sklearn.model_selection import train_test_split
+
+# Step 1: 75% train, 25% test+dev
+train_df, test_dev_df = train_test_split(df, test_size=0.25, random_state=42)
+
+# Step 2: 2000 rows for dev, rest for test
+dev_df = test_dev_df.sample(n=2000, random_state=42)
+test_df = test_dev_df.drop(dev_df.index)
+```
+
+---
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("Washii/Cyberbullying-Detection-CB1")
+
+# Access splits
+train = dataset["train"]
+validation = dataset["validation"]
+test = dataset["test"]
+
+# Example
+print(train[0])
+# {'text': '...', 'label': 'ethnicity/race'}
+```
+
+---
+
+## Source Data
+
+The original data is sourced from **"[Cyberbullying Detection](https://www.kaggle.com/datasets/andrewmvd/cyberbullying-classification)"** dataset in Kaggle, containing tweets annotated for cyberbullying across multiple categories. The full raw file is `CB1.csv`.
+
+---
+
+## Citation
+
+If you use this dataset, please cite the original source appropriately.
+
+---
+
+## Dataset Card Authors
+
+Uploaded and curated by [Washii](https://huggingface.co/Washii).
+

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