---
dataset_info:
  features:
  - name: text
    dtype: large_string
  - name: hate_speech_score
    dtype: float64
  - name: label
    dtype: int64
  splits:
  - name: train
    num_bytes: 23823783
    num_examples: 135556
  download_size: 10181817
  dataset_size: 23823783
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-4.0
task_categories:
- text-classification
language:
- en
pretty_name: UCBerkley DLab Measuring hate speech in 3 classes
size_categories:
- 100K<n<1M
---

This is modified version of [UCBerkley DLab dataset](https://huggingface.co/datasets/ucberkeley-dlab/measuring-hate-speech), converted to represtent harmfull level in 3 classes:
1. SAFE - hate_speech_score < -1
2. BORDERLINE - -1 < hate_speech_score < 0.5
3. HARMFUL - hate_speech_score >= 0.5

Text and harmful level classification was created by UCBerkley DLab Team! I'm not creator of this data - i'm only converted it into classes!