LAION-AI / LAION-AI/Open-Assistant
Evaluation of HC3 dataset against our models
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assistant-evaluation
data
- Dominant language
- Python
- Stars
- 37.4k
- Forks
- 3.3k
- PR merge metrics
- No merged PRs in 30d
Description
We need to create eval code to run against the various questions from https://huggingface.co/datasets/Hello-SimpleAI/HC3
at least a subset that we won't tain on.
And we need to eval against the output.
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
Start with the HC3 dataset at the linked Hugging Face URL and inspect the repository’s existing model-evaluation entry points; no file or test is named in the issue. Define a subset excluded from training and an evaluation procedure for model outputs, then verify that the evaluation runs and reports results.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python
- Domain
- machine-learning, testing-qa
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100