LLMs Toxicity benchmark
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- Dominant language
- Python
- Stars
- 39.5k
- Forks
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- PR merge metrics
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Description
I'm working on new benchmark for toxicity and trying to benchmark as much models as possible. Unfortunately, i don't have enough resources for that.
It's would be really nice if you guys help me with this problem and i'm sure my dataset would be very helpful.
This is my email: tinh12345bn@gmail.com
Thank you.
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
The issue does not identify a file, test, benchmark entry point, model list, or evaluation command. First clarify the benchmark scope and integration point; completion criteria are not specified beyond helping benchmark models with a toxicity dataset.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100