metadata
language:
- en
dataset_info:
features:
- name: sentence
dtype: string
- name: label
dtype: string
splits:
- name: train
num_bytes: 454998
num_examples: 3560
- name: validation
num_bytes: 63674
num_examples: 463
- name: test
num_bytes: 114554
num_examples: 888
download_size: 354318
dataset_size: 633226
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
This data is made available as part of the work Revise and Resubmit (https://doi.org/10.1162/coli_a_00455). Specifically, I have processed prag.csv from the project Github page (https://github.com/UKPLab/f1000rd) to be easily used for sentence classification using HuggingFace models. The sentences from the datasets are split into train/dev/test using the original splits.csv file from the Github repo.