surrey-nlp/Cyberbullying-Detection-CB2

Cyberbullying Detection — CB2

Dataset Description

CB2 is a relational, conversation-level cyberbullying detection dataset. Unlike single-post datasets, each instance in CB2 represents a pair of users and their full message exchange. The cyberbullying label is determined at the conversation level (i.e., whether the interaction between two users constitutes cyberbullying), enriched with demographic information, social closeness (peerness), and message-level aggression statistics.

The dataset was constructed from a school-age online communication study involving students aged 8–17 across 15 anonymised schools.

This dataset is part of the Cyberbullying-Detection collection on Hugging Face.

Dataset Structure

Data Fields

Label Classes

Source Files

CB2 was assembled from 6 source files:

Dataset Splits

The dataset is split as follows:

Split Methodology

from sklearn.model_selection import train_test_split

# Step 1: 75% train, 25% test+dev (stratified on label)
train_df, test_dev_df = train_test_split(df, test_size=0.25, random_state=42, stratify=df["label"])

# 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

from datasets import load_dataset

dataset = load_dataset("Washii/Cyberbullying-Detection-CB2")

# Access splits
train = dataset["train"]
validation = dataset["validation"]
test = dataset["test"]

# Example row
print(train[0])
# {
#   'user1_id': 1, 'user2_id': 2,
#   'user1_age': 11, 'user1_gender': 'Others', 'user1_grade': 5,
#   'user2_age': 15, 'user2_gender': 'Male', 'user2_grade': 9,
#   'total_messages': 36, 'aggressive_count': 23,
#   'intent_to_harm': 0.769, 'peerness': 0.5,
#   'conversation': [
#       {'message': 'bye bye dear bajaj...', 'label': 1},
#       {'message': 'Article updated', 'label': 0},
#       ...
#   ],
#   'label': 1
# }

Construction Notes

• —The conversation field is built by grouping all messages in 5. Communication_Data_Among_Users.csv by (User1 ID, User2 ID), sorted by Date and Time, and stored as a list of {message, label} dicts.
• —The peerness field in the final table comes directly from 6. CB_Labels.csv (which already incorporates values from 2. peerness_values.csv).
• —User demographics are joined twice (once for User 1, once for User 2) from 1. users_data.csv.
• —Files 3. Aggressive_All.csv and 4. Non_Aggressive_All.csv are reference corpora and are not directly joined into the final table (their content is already represented via file 5).

Source Data

The original data is sourced from https://data.mendeley.com/datasets/wmx9jj2htd/2 (A Comprehensive Dataset for Automated Cyberbullying Detection)

Citation

If you use this dataset, please cite the original source appropriately.

Dataset Card Authors

Uploaded and curated by Washii.