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--- |
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license: mit |
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dataset_info: |
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features: |
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- name: id |
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dtype: int64 |
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- name: text |
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dtype: string |
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- name: label |
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dtype: int64 |
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- name: label_text |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 12150228.415975923 |
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num_examples: 74159 |
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- name: test |
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num_bytes: 1350043.584024078 |
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num_examples: 8240 |
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download_size: 8392302 |
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dataset_size: 13500272 |
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language: |
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- en |
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size_categories: |
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- 10K<n<100K |
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tags: |
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- not-for-all-audiences |
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- legal |
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--- |
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# Dataset Card for Dataset Name |
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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. |
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Data is used in the similarly named Interpretor Model. |
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## Dataset Description |
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- **Homepage:** [zuendorf.me](https://www.zuendorf.me) |
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- **Repository:** [GitHub Monorepo](https://github.com/LennardZuendorf/interpretor) |
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- **Author:** Lennard Zündorf |
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### Original Dataset Description |
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- **Original Source Contact:** [bertievidgen@gmail.com](mailto:bertievidgen@gmail.com) |
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- **Original Source:** [Dynamically-Generated-Hate-Speech-Dataset](https://github.com/bvidgen/Dynamically-Generated-Hate-Speech-Dataset) |
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- **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). |
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**Refer to the Huggingface or GitHub Repo for more information** |
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### Dataset Summary |
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This Dataset contains dynamically generated hate-speech, processed to be used in classification tasks with i.E. BERT. |
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### Edit Summary |
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- I have edited the dataset to use it in training the similarly named [Interpretor Classifier]() |
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- see data/label fields below and the original dataset [here](https://huggingface.co/datasets/LennardZuendorf/Dynamically-Generated-Hate-Speech-Dataset/edit/main/README.md) |
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- Edits mostly include cleaning out information not needed for a simple binary classification tasks and adding a numerical binary label |
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## Dataset Structure |
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### Split |
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- The dataset is split into train and test, in a 90% to 10% split |
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- Train = ~ 74k entries |
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- Test = ~ 8k entries |
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### Data Fields |
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| id | text | label | label_text | |
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| - | - | - | - | |
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| numeric id | text of the comment | binary label, 0 = not hate, 1 = hate | label in text form |
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## Additional Information |
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### Licensing Information |
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- The original repository does not provide any license, but is free for use with proper citation of the original paper (see link above) |
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- This dataset can be used under the MIT license, with proper citation of both the original and this source. |
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- But I suggest taking data from the original source and doing your own editing. |
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### Citation Information |
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Please cite this repository and the original authors (see above) when using it. |
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### Contributions |
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I removed some data fields and did a new split with hugging face datasets. |
