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XStance – Dataset by mteb | AlphaNeural AI
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XStance
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text-classification
semantic-similarity-classification
human-annotated
multilingual
ZurichNLP/x_stance
deu
fra
ita
cc-by-nc-4.0
1K<n<10K
parquet
text
datasets
pandas
mlcroissant
polars
2502.13595
2210.07316
us
mteb
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XStance An MTEB dataset Massive Text Embedding Benchmark
A Multilingual Multi-Target Dataset for Stance Detection in French, German, and Italian.
Task category t2t
Domains Social, Written
Reference
https://github.com/ZurichNLP/xstance
Source datasets:
ZurichNLP/x_stance
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code: import mteb
task = mteb.get_task("XStance") evaluator = mteb.MTEB([task])… See the full description on the dataset page:
https://huggingface.co/datasets/mteb/XStance
.
