Add MNLI to Full Benchmark
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Domain
- machine-learning
Research direction
No files, tests, or entry points are named. First locate the full benchmark and existing SuperGLUE integration, then coordinate with its contributor and clarify whether FLEX is intended; done means MNLI is included once and its held-out-training interpretation is documented.
Written by the indexing model from the issue text.
Description
coordinate with whoever is working on SuperGLUE, we only need to include MNLI once. But NLI will be held-out from model training (whereas the other SuperGLUE tasks will not) so interpreting MNLI results is different from other superglue tasks.
use to test generalization to unseen task; maybe use FLEX?
- Dominant language
- Python
- Stars
- 42
- Forks
- 24
- PR merge metrics
- No merged PRs in 30d
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.
More from bigscience-workshop/evaluation
-
Difficulty 4/5 3-5 days Newbie friendliness 25/100
-
bigscience-workshop/evaluation#64 · 1 assignee ·
-
Difficulty 5/5 Over a week Newbie friendliness 20/100
bigscience-workshop/evaluation#61 · 2 comments · 3 reactions ·
-
Setup testing Openengineering
bigscience-workshop/evaluation#57 · 2 comments · 3 assignees ·
-
documentation
bigscience-workshop/evaluation#54 · 1 comment · 3 reactions · 2 assignees ·
All issues in bigscience-workshop/evaluation
Similar issues
-
essnmx good first issue
Difficulty 1/5 Under an hour Newbie friendliness 95/100
-
[Feature] 奇物选择添加优先级 Open
Difficulty 2/5 1-3 hours Newbie friendliness 65/100
syfoud/Simulated_Scepter#174 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
Giskard-AI/giskard-oss#2840 · 1 comment ·
-
A claim comment carrying the issue number is silently declined while the workflow reports success Openarea: repo bug perceived difficulty: 2
Difficulty 2/5 1-3 hours Newbie friendliness 70/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
yeti-platform/yeti#1380 ·