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RARbCode – Dataset by mteb | AlphaNeural AI
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mteb
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RARbCode
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text-retrieval
derived
monolingual
RAR-b/humanevalpack-mbpp-pooled
eng
cc-by-nc-sa-4.0
100K<n<1M
parquet
text
datasets
pandas
mlcroissant
polars
2404.06347
1909.09436
2308.07124
2502.13595
2210.07316
us
mteb
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RARbCode An MTEB dataset Massive Text Embedding Benchmark
Measuring the ability to retrieve the groundtruth answers to reasoning task queries on RAR-b code-pooled dataset.
Task category t2t
Domains Programming, Written
Referencehttps://arxiv.org/abs/2404.06347
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("RARbCode") evaluator = mteb.MTEB([task])
model =… See the full description on the dataset page:
https://huggingface.co/datasets/mteb/RARbCode
.