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1. Currently it's hard to tell which datasets were used for the benchmark results posted here:
https://huggingface.co/Helsinki-NLP/opus-mt-ru-en
(and the other models from your user).
After quite…
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### Background
Breaking this out of https://github.com/alexklibisz/elastiknn/issues/160, specifically this comment: https://github.com/alexklibisz/elastiknn/issues/160#issuecomment-1826481362
I'd …
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All, FYI I've created 3 new classification datasets for use with debugging/tests/benchmarks: `imagenet10`, `imagenet100`, `imagenet1000`.
These are super small versions of imagenet that train/val i…
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**Feature request**
Today, we have these ways to aggregate a single nested column values:
- `nf.reduce(np.mean, "lc.mag")` - good, but not cheap and requires to join the output back to the frame
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## ❔Question
## Additional context
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## Fix the model test for `doctr_det_predictor.py`
1. setup env according to [Run a model under torch_xla2](https://github.com/pytorch/xla/blob/master/experimental/torch_xla2/docs/support_a_new_mod…
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Execution failed for task ':otel-extensions:generateProto'.
> protoc: stdout: . stderr: datasets/google_message3/benchmark_message3_1.proto: File not found.
datasets/google_message3/benchmark_mess…
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Hi, thank you for providing us this wonderful model. When I tried to train this on my datasets, I encountered some problems. I noticed you only provide the code for benchmarks on Jarvis and MP, could …
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LFQ dataset to be benchmark https://www.sciencedirect.com/science/article/pii/S1535947620333107
Dataset: https://www.ebi.ac.uk/pride/archive/projects/PXD000279