Datasets:

gorkem371
/

toxicity-classifier-dataset-v3

license: apache-2.0
language:
  - tr
  - ar
  - en
tags:
  - toxicity
  - multilingual
  - text-classification
size_categories:
  - 100K<n<1M
task_categories:
  - text-classification

Multilingual Toxicity Dataset V3

124K balanced samples for binary toxicity classification across three languages.

Author

Dataset Details

Split	Samples
Train	105,945
Valid	18,684
Total	124,629

Languages

Turkish (~34%) — sourced primarily from Overfit-GM
Arabic (~32%) — sourced primarily from arabic-hate-speech-superset
English (~34%) — sourced from toxic_conversations_50k, hate_speech_offensive, and others

Label balance is approximately 50/50 toxic / not_toxic per language.

Format

JSONL files with the following fields:

Field	Type	Description
`text`	string	The input text
`label`	int	`1` = toxic, `0` = not toxic
`language`	string	Language code: `tr`, `ar`, or `en`

Sources

Overfit-GM (Turkish)
arabic-hate-speech-superset (Arabic)
toxic_conversations_50k (English)
hate_speech_offensive (English)
textdetox (Multilingual)
Targeted / hand-crafted samples for edge cases

Usage

from datasets import load_dataset

dataset = load_dataset("gorkem371/toxicity-classifier-dataset-v3")

License

Apache 2.0