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sts17-crosslingual-sts – Dataset by mteb | AlphaNeural AI
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sts17-crosslingual-sts
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sentence-similarity
semantic-similarity-scoring
human-annotated
multilingual
ara
deu
eng
fra
ita
kor
nld
spa
tur
unknown
10K<n<100K
json
text
datasets
dask
polars
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STS17 An MTEB dataset Massive Text Embedding Benchmark
Semeval-2017 task 1: Semantic textual similarity-multilingual and cross-lingual focused evaluation
Task category t2t
Domains News, Web, Written
Reference
https://alt.qcri.org/semeval2017/task1/
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(["STS17"]) evaluator = mteb.MTEB(task)
model =… See the full description on the dataset page:
https://huggingface.co/datasets/mteb/sts17-crosslingual-sts
.
