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RuSciBenchOECDClusteringP2P – Dataset by mteb | AlphaNeural AI
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RuSciBenchOECDClusteringP2P
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text-classification
derived
monolingual
ai-forever/ru-scibench-oecd-classification
rus
unknown
10K<n<100K
parquet
text
datasets
pandas
mlcroissant
polars
2502.13595
2210.07316
us
mteb
text
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RuSciBenchOECDClusteringP2P An MTEB dataset Massive Text Embedding Benchmark
Clustering of scientific papers (title+abstract) by rubric
Task category t2c
Domains Academic, Written
Reference
https://github.com/mlsa-iai-msu-lab/ru_sci_bench/
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("RuSciBenchOECDClusteringP2P") evaluator = mteb.MTEB([task])
model =… See the full description on the dataset page:
https://huggingface.co/datasets/mteb/RuSciBenchOECDClusteringP2P
.
