Datasets:
Tasks:
Text Ranking
Modalities:
Text
Formats:
parquet
Languages:
Mandarin Chinese
Size:
100K - 1M
ArXiv:
License:
Update README.md (#1)
Browse files- Update README.md (d7471a52cfc8e442c126d8dfa119e07636736dfe)
README.md
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@@ -104,7 +104,7 @@ You can evaluate an embedding model on this dataset using the following code:
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```python
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import mteb
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task = mteb.get_tasks(["T2Reranking"])
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evaluator = mteb.MTEB(task)
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model = mteb.get_model(YOUR_MODEL)
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```python
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import mteb
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task = mteb.get_tasks(tasks=["T2Reranking"])
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evaluator = mteb.MTEB(task)
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model = mteb.get_model(YOUR_MODEL)
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