|
--- |
|
languages: |
|
- en |
|
multilinguality: |
|
- monolingual |
|
size_categories: |
|
- 10K<n<100K |
|
source_datasets: |
|
- derived |
|
task_categories: |
|
- text-classification |
|
--- |
|
|
|
# Dataset Card for hate-multi |
|
|
|
## Table of Contents |
|
- [Table of Contents](#table-of-contents) |
|
- [Dataset Description](#dataset-description) |
|
- [Dataset Summary](#dataset-summary) |
|
- [Dataset Creation](#dataset-creation) |
|
- [Source Data](#source-data) |
|
|
|
## Dataset Description |
|
|
|
### Dataset Summary |
|
|
|
This dataset contains a collection of text labeled as hate speech (class 1) or not (class 0). |
|
|
|
## Dataset Creation |
|
|
|
The dataset was creating by aggregating multiple publicly available datasets. |
|
|
|
### Source Data |
|
|
|
The following datasets were used: |
|
* https://huggingface.co/datasets/hate_speech18 - Filtered to remove examples labeled as 'idk/skip', 'relation' |
|
* https://huggingface.co/datasets/hate_speech_offensive - Tweet text cleaned by lower casing, removing mentions and urls. Dropped instanced labeled as 'offensive language' |
|
* https://huggingface.co/datasets/ucberkeley-dlab/measuring-hate-speech - Tweet text cleaned by lower casing, removing mentions and urls. Dropped instanced with hatespeech == 1 |
|
|