About Dataset
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Domain
- data, machine-learning
Research direction
No files, tests, or entry points are named. Review the dataset or configuration used by the e2e and block-ap phases, then check whether ablation results explain the different context lengths; done means documenting the rationale and validation status.
Written by the indexing model from the issue text.
Description
Why is the context length in the e2e phase twice that of the block-ap phase? Has this been validated by ablation experiments?
- Dominant language
- Python
- Stars
- 351
- Forks
- 38
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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.
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