--- annotations_creators: - found language_creators: - found language: - en license: - unknown multilinguality: - monolingual size_categories: - 1K row 1:P S U&W ). 2- The cross-genre scenarios are based on Table-5 in the same paper. (Ex. cross_genre_1 => row 1:B P S&U&W). 3- The same-topic/genre scenario is created by grouping all the datasts as follows. For ex., to use same_topic and split the data 60-40 use: train_ds = load_dataset('guardian_authorship', name="cross_topic_<<#>>", split='train[:60%]+validation[:60%]+test[:60%]') tests_ds = load_dataset('guardian_authorship', name="cross_topic_<<#>>", split='train[-40%:]+validation[-40%:]+test[-40%:]') IMPORTANT: train+validation+test[:60%] will generate the wrong splits because the data is imbalanced * See https://huggingface.co/docs/datasets/splits.html for detailed/more examples ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Dataset Structure ### Data Instances #### cross_genre_1 - **Size of downloaded dataset files:** 3.10 MB - **Size of the generated dataset:** 2.74 MB - **Total amount of disk used:** 5.84 MB An example of 'train' looks as follows. ``` { "article": "File 1a\n", "author": 0, "topic": 4 } ``` #### cross_genre_2 - **Size of downloaded dataset files:** 3.10 MB - **Size of the generated dataset:** 2.74 MB - **Total amount of disk used:** 5.84 MB An example of 'validation' looks as follows. ``` { "article": "File 1a\n", "author": 0, "topic": 1 } ``` #### cross_genre_3 - **Size of downloaded dataset files:** 3.10 MB - **Size of the generated dataset:** 2.74 MB - **Total amount of disk used:** 5.84 MB An example of 'validation' looks as follows. ``` { "article": "File 1a\n", "author": 0, "topic": 2 } ``` #### cross_genre_4 - **Size of downloaded dataset files:** 3.10 MB - **Size of the generated dataset:** 2.74 MB - **Total amount of disk used:** 5.84 MB An example of 'validation' looks as follows. ``` { "article": "File 1a\n", "author": 0, "topic": 3 } ``` #### cross_topic_1 - **Size of downloaded dataset files:** 3.10 MB - **Size of the generated dataset:** 2.34 MB - **Total amount of disk used:** 5.43 MB An example of 'validation' looks as follows. ``` { "article": "File 1a\n", "author": 0, "topic": 1 } ``` ### Data Fields The data fields are the same among all splits. #### cross_genre_1 - `author`: a classification label, with possible values including `catherinebennett` (0), `georgemonbiot` (1), `hugoyoung` (2), `jonathanfreedland` (3), `martinkettle` (4). - `topic`: a classification label, with possible values including `Politics` (0), `Society` (1), `UK` (2), `World` (3), `Books` (4). - `article`: a `string` feature. #### cross_genre_2 - `author`: a classification label, with possible values including `catherinebennett` (0), `georgemonbiot` (1), `hugoyoung` (2), `jonathanfreedland` (3), `martinkettle` (4). - `topic`: a classification label, with possible values including `Politics` (0), `Society` (1), `UK` (2), `World` (3), `Books` (4). - `article`: a `string` feature. #### cross_genre_3 - `author`: a classification label, with possible values including `catherinebennett` (0), `georgemonbiot` (1), `hugoyoung` (2), `jonathanfreedland` (3), `martinkettle` (4). - `topic`: a classification label, with possible values including `Politics` (0), `Society` (1), `UK` (2), `World` (3), `Books` (4). - `article`: a `string` feature. #### cross_genre_4 - `author`: a classification label, with possible values including `catherinebennett` (0), `georgemonbiot` (1), `hugoyoung` (2), `jonathanfreedland` (3), `martinkettle` (4). - `topic`: a classification label, with possible values including `Politics` (0), `Society` (1), `UK` (2), `World` (3), `Books` (4). - `article`: a `string` feature. #### cross_topic_1 - `author`: a classification label, with possible values including `catherinebennett` (0), `georgemonbiot` (1), `hugoyoung` (2), `jonathanfreedland` (3), `martinkettle` (4). - `topic`: a classification label, with possible values including `Politics` (0), `Society` (1), `UK` (2), `World` (3), `Books` (4). - `article`: a `string` feature. ### Data Splits | name |train|validation|test| |-------------|----:|---------:|---:| |cross_genre_1| 63| 112| 269| |cross_genre_2| 63| 62| 319| |cross_genre_3| 63| 90| 291| |cross_genre_4| 63| 117| 264| |cross_topic_1| 112| 62| 207| ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @article{article, author = {Stamatatos, Efstathios}, year = {2013}, month = {01}, pages = {421-439}, title = {On the robustness of authorship attribution based on character n-gram features}, volume = {21}, journal = {Journal of Law and Policy} } @inproceedings{stamatatos2017authorship, title={Authorship attribution using text distortion}, author={Stamatatos, Efstathios}, booktitle={Proc. of the 15th Conf. of the European Chapter of the Association for Computational Linguistics}, volume={1} pages={1138--1149}, year={2017} } ``` ### Contributions Thanks to [@thomwolf](https://github.com/thomwolf), [@eltoto1219](https://github.com/eltoto1219), [@malikaltakrori](https://github.com/malikaltakrori) for adding this dataset.