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MSMARCO-Fa – Dataset by mteb | AlphaNeural AI
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mteb
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MSMARCO-Fa
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text-retrieval
derived
monolingual
mteb/msmarco
fas
unknown
1M<n<10M
parquet
text
datasets
dask
mlcroissant
polars
2502.13595
2210.07316
us
mteb
text
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MSMARCO-Fa An MTEB dataset Massive Text Embedding Benchmark
MSMARCO-Fa
Task category t2t
Domains Web
Reference
https://huggingface.co/datasets/MCINext/msmarco-fa
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(["MSMARCO-Fa"]) evaluator = mteb.MTEB(task)
model = mteb.get_model(YOUR_MODEL) evaluator.run(model)
To learn more about how to run models on mteb task… See the full description on the dataset page:
https://huggingface.co/datasets/mteb/MSMARCO-Fa
.
