Lazier data loading and static dataset analysis
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- Dominant language
- Python
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- Merged PRs (30d)
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Description
Amazing, the loop will soon be complete!
With nemar, we can now get really lazy! For example, we can allow the user to download only a specific session, or even a specific run.
We can also have a function to get the exact structure of the dataset (number of subjects, sessions, runs, trials, etc) without downloading the data.
Wdyt @bruAristimunha ?
Maybe best to keep this for a follow-up pr
Originally posted by @PierreGtch in #1084
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Review the existing dataset-loading API and the context in issue #1084 first. Define the scope for selecting a session or run and for inspecting dataset structure without downloading data; done means both capabilities are specified and covered by appropriate tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100