enhancementhelp wanted
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- Nice resource! I may add some to it in future (although the ones I use for benchmarking are considerably "rarer" than the ones here - time-series + raw text + locations, entities, etc') .
- The varied datasets dont seem to have credit as to their origin. (e.g. "winered" - I assume is the wine datasets from UCI, but there's nothing about that in the data folder or the csv.gz file). Adding the origin (even at the "site" level, e.g. "UCI", "open-ML", "kaggle datasets", "KDD") would make it much easier to analyze the original datasets, context ,domain and interpretation (e.g. "Looking for datasets on time-series + predictive maintenance").