Dataset used in the paper:
A thorough benchmark of automatic text classification
From traditional approaches to large language models
https://github.com/waashk/atcBench
To guarantee the reproducibility of the obtained results, the dataset and its respective CV train-test partitions is available here.
Each dataset contains the following files:
data.parquet: pandas DataFrame with texts and associated encoded labels for each document.
split_
.pkl: pandas DataFrame with k-cross validation… See the full description on the dataset page: https://huggingface.co/datasets/waashk/medline.
