README.md

metadata

annotations_creators:
  - found
  - crowdsourced
  - expert-generated
language_creators:
  - found
  - crowdsourced
languages:
  - bn
licenses:
  - cc-by-4.0
multilinguality:
  - monolingual
pretty_name: 'BAAD6: Bangla Authorship Attribution Dataset (6 Authors)'
size_categories:
  - unknown
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - text-classification-other-authorship-attribution

Description

BAAD6 is an Authorship Attribution dataset for Bengali Literature. It was collected and analyzed by Hemayet et al [1]. The data was obtained from different online posts and blogs. This dataset is balanced among the 6 Authors with 350 sample texts per author. This is a relatively small dataset but is noisy given the sources it was collected from and its cleaning procedure. Nonetheless, it may help evaluate authorship attribution systems as it resembles texts often available on the Internet. Details about the dataset are given in the table below.

Author	Samples	Word count	Unique word
fe	350	357k	53k
ij	350	391k	72k
mk	350	377k	47k
rn	350	231k	50k
hm	350	555k	72k
rg	350	391k	58k
Total	2,100	2,304,338	230,075
Average	350	384,056.33	59,006.67

Citation

If you use this dataset, please cite the paper A Comparative Analysis of Word Embedding Representations in Authorship Attribution of Bengali Literature. The dataset is also available in Mendeley: BAAD6 dataset. Always make sure to use the latest version of the dataset.

@INPROCEEDINGS{8631977,
  author={Ahmed Chowdhury, Hemayet and Haque Imon, Md. Azizul and Islam, Md. Saiful},
  booktitle={2018 21st International Conference of Computer and Information Technology (ICCIT)}, 
  title={A Comparative Analysis of Word Embedding Representations in Authorship Attribution of Bengali Literature}, 
  year={2018},
  volume={},
  number={},
  pages={1-6},
  doi={10.1109/ICCITECHN.2018.8631977}}