Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
parquet
Sub-tasks:
document-retrieval
Languages:
Japanese
Size:
< 1K
License:
Update README.md
Browse files
README.md
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@@ -99,7 +99,7 @@ You can evaluate an embedding model on this sample dataset using the following c
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import mteb
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# Load the sample dataset
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task = mteb.get_task("JapaneseCode1Retrieval
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evaluator = mteb.MTEB(tasks=[task])
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# Run evaluation with your model
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import mteb
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# Load the sample dataset
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task = mteb.get_task("JapaneseCode1Retrieval")
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evaluator = mteb.MTEB(tasks=[task])
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# Run evaluation with your model
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