Add QA-SRL to Full Benchmark
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
The issue provides no files, tests, or entry points. Start by locating how existing datasets are registered and how the full benchmark is assembled, then determine the repository's evaluation checks. Done means QA-SRL is included in the full benchmark and passes those checks.
Written by the indexing model from the issue text.
Description
This issue has no description.
- Dominant language
- Python
- Stars
- 42
- Forks
- 24
- PR merge metrics
- No merged PRs in 30d
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the contributing 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.
More from bigscience-workshop/evaluation
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Refactor task template to merge multilingual.json and english.jsonMay be free again @wilsonyhlee claimed this 1855 days ago, and no pull request is open. Open
bigscience-workshop/evaluation#64 · 1 assignee ·
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Difficulty 5/5 Over a week Newbie friendliness 20/100
bigscience-workshop/evaluation#61 · 2 comments · 3 reactions ·
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Setup testingMay be free again @tttyuntian claimed this 1871 days ago, and no pull request is open. Openengineering
bigscience-workshop/evaluation#57 · 2 comments · 3 assignees ·
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Start overleaf for benchmark tech reportMay be free again @arunraja-hub claimed this 1867 days ago, and no pull request is open. Opendocumentation
bigscience-workshop/evaluation#54 · 1 comment · 3 reactions · 2 assignees ·
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