I’m looking for up to date datasets to benchmark various algorithms against the performance (both speed and accuracy) of published models.

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I’ve found some dataset but the main issue is that they are either:

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a) very old and small, e.g. most datasets hosted by UCI, which are rather “easy” to “solve” nowadays and most papers using them came out decades ago. Even barring that, a lot of the papers dealing with the data are not ideal for benchmarks per-say because they are not very specific in their methodology for splitting into train/test/validate.

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OR

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b) They are focused on images, e.g. cifrar 100 is pretty decent, and there are loads of high quality models with known accuracy and available source code… but, I can’t find the equivalent of cifrar 100 for, say, financial timeseries prediction, or STT, or geospatial movement predictions for cars… or any problem other than image classification -_-

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Are there any well maintained list of datasets that specifically have various models benchmarked against them ? Or would it be better to just do reverse-search on this problem, as in, look for interesting papers that came out in the last few years and use the datasets they used.