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BQ – Dataset by mteb | AlphaNeural AI
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mteb
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BQ
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sentence-similarity
semantic-similarity-scoring
monolingual
cmn
100K<n<1M
parquet
text
datasets
pandas
mlcroissant
polars
2309.07597
2502.13595
2210.07316
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mteb
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BQ An MTEB dataset Massive Text Embedding Benchmark
A Chinese dataset for textual relatedness
Task category t2t
Domains None
Reference
https://aclanthology.org/2021.emnlp-main.357
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(["BQ"]) evaluator = mteb.MTEB(task)
model = mteb.get_model(YOUR_MODEL) evaluator.run(model)
To learn more about how to run models on mteb… See the full description on the dataset page:
https://huggingface.co/datasets/mteb/BQ
.
