README.md

---
license: mit
dataset_info:
  features:
  - name: id
    dtype: int64
  - name: text
    dtype: string
  - name: label
    dtype: int64
  - name: label_text
    dtype: string
  splits:
  - name: train
    num_bytes: 12150228.415975923
    num_examples: 74159
  - name: test
    num_bytes: 1350043.584024078
    num_examples: 8240
  download_size: 8392302
  dataset_size: 13500272
language:
- en
size_categories:
- 10K<n<100K
tags:
- not-for-all-audiences
- legal
---

# Dataset Card for Dataset Name

This is an edit of original work from Bertie Vidgen, Tristan Thrush, Zeerak Waseem and Douwe Kiela. Which I have uploaded to Huggingface [here](https://huggingface.co/datasets/LennardZuendorf/Dynamically-Generated-Hate-Speech-Dataset/edit/main/README.md). It is not my original work, I just edited it. 
Data is used in the similarly named Interpretor Model.

## Dataset Description

- **Homepage:** [zuendorf.me](https://www.zuendorf.me)
- **Repository:** [GitHub Monorepo](https://github.com/LennardZuendorf/interpretor)
- **Author:** Lennard Zündorf

### Original Dataset Description

- **Original Source Contact:** [bertievidgen@gmail.com](mailto:bertievidgen@gmail.com)
- **Original Source:** [Dynamically-Generated-Hate-Speech-Dataset](https://github.com/bvidgen/Dynamically-Generated-Hate-Speech-Dataset)
- **Original Author List:** Bertie Vidgen (The Alan Turing Institute), Tristan Thrush (Facebook AI Research), Zeerak Waseem (University of Sheffield) and Douwe Kiela (Facebook AI Research).

**Refer to the Huggingface or GitHub Repo for more information**

### Dataset Summary
This Dataset contains dynamically generated hate-speech, processed to be used in classification tasks with i.E. BERT.

### Edit Summary

- I have edited the dataset to use it in training the similarly named [Interpretor Classifier]()
- see data/label fields below and the original dataset [here](https://huggingface.co/datasets/LennardZuendorf/Dynamically-Generated-Hate-Speech-Dataset/edit/main/README.md)
- Edits mostly include cleaning out information not needed for a simple binary classification tasks and adding a numerical binary label

## Dataset Structure


### Split

- The dataset is split into train and test, in a 90% to 10% split
- Train = ~ 74k entries
- Test = ~ 8k entries

### Data Fields


| id | text | label | label_text |
| - | - | - | - |
| numeric id | text of the comment | binary label, 0 = not hate, 1 = hate | label in text form

## Additional Information

### Licensing Information

- The original repository does not provide any license, but is free for use with proper citation of the original paper (see link above)
- This dataset can be used under the MIT license, with proper citation of both the original and this source.
- But I suggest taking data from the original source and doing your own editing.

### Citation Information

Please cite this repository and the original authors (see above) when using it.

### Contributions

I removed some data fields and did a new split with hugging face datasets.