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R2MEDBioinformaticsRetrieval – Dataset by mteb | AlphaNeural AI
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R2MEDBioinformaticsRetrieval
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text-retrieval
document-retrieval
LM-generated and reviewed
monolingual
R2MED/Bioinformatics
eng
cc-by-4.0
10K<n<100K
parquet
text
datasets
pandas
mlcroissant
polars
2505.14558
2502.13595
2210.07316
us
mteb
text
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R2MEDBioinformaticsRetrieval An MTEB dataset Massive Text Embedding Benchmark
Bioinformatics retrieval dataset.
Task category t2t
Domains Medical
Reference
https://huggingface.co/datasets/R2MED/Bioinformatics
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("R2MEDBioinformaticsRetrieval") evaluator = mteb.MTEB([task])
model = mteb.get_model(YOUR_MODEL)… See the full description on the dataset page:
https://huggingface.co/datasets/mteb/R2MEDBioinformaticsRetrieval
.
