Dataset Open Access

Same Side Stance Classification Resampled Datasets

Gregor Wiedemann; Erik Körner; Ahmad Dawar Hakimi; Gerhard Heyer; Martin Potthast

The resampled datasets for the Same Side Stance Classification problem used in the EMNLP'21 paper "On Classifying whether Two Texts are on the Same Side of an Argument".

The data is based on the publicly available S3C training datasets.

The data format is JSONlines.
Python Load Example: (for every single task split)

import pandas as pd
df_cross_dev = pd.read_json("cross_dev.jsonl", lines=True)

For details on how the data was compiled, please refer to our code.

Files (252.9 MB)
Name Size
experiment1.zip
md5:4074f6d0fbf2b2b78b70a1a1f696aaba
109.6 MB Download
experiment2.zip
md5:b53c3b98b3a6985beeb03cf4211db3a7
143.2 MB Download
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