language: | |
- en | |
license: other | |
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 | |