Add _ngrams loaders for single-class datasets
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 35/100
Research direction
Start by locating make_ngrams_dataset and the existing dataset loaders for danafarber and other single-class datasets. Confirm how their n-gram data is currently exposed; done means adding _ngrams loaders that return X rather than an (X, Y) pair.
Written by the indexing model from the issue text.
Description
danafarber datasets (and others) are all of the same category and thus don't need make_ngrams_dataset to return (X,Y) but just X
- Dominant language
- Python
- Stars
- 58
- Forks
- 16
- Avg merge
- 2d 12h
- Merged PRs (30d)
- 3
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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.
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