# apple-aiml-research/ml-mkqa

<https://repo.masters-masters.com/en/repos/apple-aiml-research/ml-mkqa>

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apple-aiml-research/ml-mkqa has 199 stars on GitHub. Its RepoMasters card: Prototype tier. We introduce MKQA, an open-domain question answering evaluation set…

| Field | Value |
| --- | --- |
| Owner | [apple-aiml-research](https://repo.masters-masters.com/en/owners/apple-aiml-research) |
| Stars | 199 |
| Forks | 20 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2020 |
| Topics | dataset, nlp, multilingual-evaluation |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [apple-aiml-research/ml-mkqa](https://github.com/apple-aiml-research/ml-mkqa) |

## Repository

We introduce MKQA, an open-domain question answering evaluation set comprising 10k question-answer pairs aligned across 26 typologically diverse languages (260k question-answer pairs in total). The goal of this dataset is to provide a challenging benchmark for question answering quality across a wi…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.