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sts13-sts – Dataset by mteb | AlphaNeural AI
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sts13-sts
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sentence-similarity
semantic-similarity-scoring
human-annotated
monolingual
eng
unknown
1K<n<10K
json
text
datasets
pandas
polars
mlcroissant
2502.13595
2210.07316
us
mteb
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STS13 An MTEB dataset Massive Text Embedding Benchmark
SemEval STS 2013 dataset.
Task category t2t
Domains Web, News, Non-fiction, Written
Reference
https://www.aclweb.org/anthology/S13-1004/
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code: import mteb
task = mteb.get_tasks(["STS13"]) evaluator = mteb.MTEB(task)
model = mteb.get_model(YOUR_MODEL) evaluator.run(model)
To learn more about how… See the full description on the dataset page:
https://huggingface.co/datasets/mteb/sts13-sts
.
