LEL-A / LEL-A/GerAlpacaDataCleaned
Add the dataset as Hugging Face dataset.
Open
Nobody has claimed this yet.
enhancement
good first issue
- Dominant language
- Jupyter Notebook
- Stars
- 26
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Description
To-do
- we don't want to duplicate data
- the "truth of data" should be in our GitHub repo
- implement a real dataset loader (with a config and version number) that downloads the dataset from GitHub and preprocesses it
Contributor guide
No contributing guide indexed for this repository
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
The issue names no files, tests, or entry points. Start by locating the repository's dataset source and any existing loading or preprocessing entry point; done means the GitHub copy remains the source of truth, no data is duplicated, and a versioned Hugging Face loader downloads and preprocesses it.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100