Published September 9, 2021
| Version 1.0
Dataset
Open
Same Side Stance Classification Resampled Datasets
- 1. Leibniz-Institute for Media Research | Hans-Bredow-Institut
- 2. Bauhaus-Universität Weimar
- 3. Leipzig University
Description
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
experiment1.zip
Files
(252.9 MB)
Name | Size | Download all |
---|---|---|
md5:4074f6d0fbf2b2b78b70a1a1f696aaba
|
109.6 MB | Preview Download |
md5:b53c3b98b3a6985beeb03cf4211db3a7
|
143.2 MB | Preview Download |
Additional details
Related works
- Is derived from
- Dataset: 10.5281/zenodo.4382352 (DOI)