

# 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 offensive (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_speech_offensive - Tweet text cleaned by lower casing, removing mentions and urls. Dropped instanced labeled as 'hate speech'
* https://sites.google.com/site/offensevalsharedtask/olid - Tweet text cleaned by lower casing, removing mentions and urls. Used 'subtask_a' column for labeling.

task_categories:text-classification multilinguality:monolingual size_categories:10K<n<100K source_datasets:derived language:en license:other region:us
{"language": ["en"], "license": "other", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["derived"], "task_categories": ["text-classification"]}
TAGS
#task_categories-text-classification #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-derived #language-English #license-other #region-us 



# Dataset Card for hate-multi

## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
- Dataset Creation
  - Source Data

## Dataset Description

### Dataset Summary
This dataset contains a collection of text labeled as offensive (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:
* URL - Tweet text cleaned by lower casing, removing mentions and urls. Dropped instanced labeled as 'hate speech'
* URL - Tweet text cleaned by lower casing, removing mentions and urls. Used 'subtask_a' column for labeling.

# Dataset Card for hate-multi ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
- Dataset Creation
  - Source Data ## Dataset Description ### Dataset Summary
This dataset contains a collection of text labeled as offensive (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:
* URL - Tweet text cleaned by lower casing, removing mentions and urls. Dropped instanced labeled as 'hate speech'
* URL - Tweet text cleaned by lower casing, removing mentions and urls. Used 'subtask_a' column for labeling.
TAGS
#task_categories-text-classification #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-derived #language-English #license-other #region-us 
 # Dataset Card for hate-multi ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
- Dataset Creation
  - Source Data ## Dataset Description ### Dataset Summary
This dataset contains a collection of text labeled as offensive (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:
* URL - Tweet text cleaned by lower casing, removing mentions and urls. Dropped instanced labeled as 'hate speech'
* URL - Tweet text cleaned by lower casing, removing mentions and urls. Used 'subtask_a' column for labeling.
passage: TAGS
#task_categories-text-classification #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-derived #language-English #license-other #region-us 
# Dataset Card for hate-multi## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
- Dataset Creation
  - Source Data## Dataset Description### Dataset Summary
This dataset contains a collection of text labeled as offensive (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:
* URL - Tweet text cleaned by lower casing, removing mentions and urls. Dropped instanced labeled as 'hate speech'
* URL - Tweet text cleaned by lower casing, removing mentions and urls. Used 'subtask_a' column for labeling.