localminimum / localminimum/QANet
how to adapt it for squad2.0 dataset?
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 985
- Forks
- 297
- PR merge metrics
- No merged PRs in 30d
Description
This issue has no description.
Contributor guide
No contributing guide indexed for this repository
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
The issue body names no files, tests, or entry points and only asks how to adapt QANet for the SQuAD2.0 dataset. Start by locating the repository's dataset and training entry points, then define the required adaptation and tests; done should mean the project supports SQuAD2.0 and verifies the resulting behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100