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@frg01 We have conducted some tests and found that the dimension and size are the most important attributes of the dataset, while the metric_type has a relatively smaller impact on performance.
We will consider two directions in the future:
Continuing to update more datasets to cover more scenarios.
Supporting customizable datasets.
If you have any suggestions, feel free to share them with us.
I would like to ask why there are no data sets of Euclidean distance and inner product distance types.
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