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PubChemWikiPairClassification – Dataset by mteb | AlphaNeural AI
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mteb
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PubChemWikiPairClassification
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text-classification
semantic-similarity-classification
derived
multilingual
BASF-AI/PubChemWikiMultilingualPC
ces
deu
eng
fra
hin
jpn
kor
msa
nld
por
spa
tur
zho
cc-by-nc-sa-4.0
10K<n<100K
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PubChemWikiPairClassification An MTEB dataset Massive Text Embedding Benchmark
ChemTEB evaluates the performance of text embedding models on chemical domain data.
Task category t2t
Domains Chemistry
Reference
https://arxiv.org/abs/2412.00532
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("PubChemWikiPairClassification") evaluator = mteb.MTEB([task])
model =… See the full description on the dataset page:
https://huggingface.co/datasets/mteb/PubChemWikiPairClassification
.
