Credit/Origin? · EpistasisLab/pmlb#13

2017-12-19T10:21:03.000Z

1. 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') . 2. 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").

(10 comments) (2 reactions) (0 assignees)Python (734 stars) (129 forks)batch import

enhancementhelp wanted

Description

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").

Contributor guide

Tech stack: python
Domain: datadocumentation
Issue type: feature
Difficulty: 2
Estimated time: 1-3 hours
Activity status: stale
Clarity: clear
Prerequisites: Familiarity with PythonBasic understanding of dataset metadata
Newbie friendliness: 70
Research direction: The issue requests adding credit/origin information to each dataset in the PMLB repository. For each dataset, we need to identify the original source (e.g., UCI, OpenML, Kaggle) and add a column or metadata file indicating the origin. This involves examining the datasets' documentation or contacting maintainers for unknown origins. The outcome should be a clear attribution in the repository's data folder or CSV files.