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docs: update evals_reference/index.md (#675)

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# What does this PR do?

minor fix




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Ikko Eltociear Ashimine 2024-12-27 04:32:37 +09:00 • committed by GitHub
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@ -47,7 +47,7 @@ This first example walks you through how to evaluate a model candidate served by
- [SimpleQA](https://openai.com/index/introducing-simpleqa/): Benchmark designed to access models to answer short, fact-seeking questions. - [SimpleQA](https://openai.com/index/introducing-simpleqa/): Benchmark designed to access models to answer short, fact-seeking questions.
#### 1.1 Running MMMU #### 1.1 Running MMMU
- We will use a pre-processed MMMU dataset from [llamastack/mmmu](https://huggingface.co/datasets/llamastack/mmmu). The preprocessing code is shown in in this [Github Gist](https://gist.github.com/yanxi0830/118e9c560227d27132a7fd10e2c92840). The dataset is obtained by transforming the original [MMMU/MMMU](https://huggingface.co/datasets/MMMU/MMMU) dataset into correct format by `inference/chat-completion` API. - We will use a pre-processed MMMU dataset from [llamastack/mmmu](https://huggingface.co/datasets/llamastack/mmmu). The preprocessing code is shown in this [GitHub Gist](https://gist.github.com/yanxi0830/118e9c560227d27132a7fd10e2c92840). The dataset is obtained by transforming the original [MMMU/MMMU](https://huggingface.co/datasets/MMMU/MMMU) dataset into correct format by `inference/chat-completion` API.
```python ```python
import datasets import datasets