metadata
dataset_info:
features:
- name: text_a
dtype: string
- name: text_b
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 2524945
num_examples: 14157
download_size: 1681441
dataset_size: 2524945
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
Demo of pairwise classification for Baskerville
From upworthy: https://upworthy.natematias.com/about-the-archive.html Which was later used in SAE's for hypothesis generation
Transformed to just be pairs of [headline_A, headline_B, A_win] A_win is 0 if B won, 1 if A won