| 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 | |