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Add MKQA to Full Benchmark

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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

Start by reading the linked MKQA repository and the evaluation project's existing full-benchmark integration points. Determine how benchmark datasets are registered and tested, then verify that MKQA is included in the full benchmark with its 26 languages and dialects.

Written by the indexing model from the issue text.

Description

Available here: https://github.com/apple/ml-mkqa

Question Answering in 26 languages/dialects.

Dominant language
Python
Stars
42
Forks
24
No merged PRs in 30d

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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