From fea7411820ac7d2a4b47b22e16f673f19fff3ca1 Mon Sep 17 00:00:00 2001 From: jnanliu Date: Tue, 25 Feb 2025 09:39:34 +0000 Subject: [PATCH] fix multi-line equation --- docs/en/user_guides/datasets.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/docs/en/user_guides/datasets.md b/docs/en/user_guides/datasets.md index 5e73485f..cc71b1fd 100644 --- a/docs/en/user_guides/datasets.md +++ b/docs/en/user_guides/datasets.md @@ -101,7 +101,11 @@ afqmc_datasets = [ ] ``` > [!TIP] -> Additionally, for binary evaluation metrics (such as accuracy, pass-rate, etc.), you can also set the parameter `k` in conjunction with `n` for [G-Pass@ k](http://arxiv.org/abs/2412.13147) evaluation. The formula for G-Pass@$k$ is: $$ G-Pass@k_\tau=\mathbb{E}_{Data}\left[ \sum_{j=\lceil \tau \cdot k \rceil}^c \frac{{c \choose j} \cdot {n - c \choose k - j}}{{n \choose k}} \right], $$ where $n$ is the number of evaluations, and $c$ is the number of times that passed or were correct out of $n$ runs. An example configuration is as follows: +> Additionally, for binary evaluation metrics (such as accuracy, pass-rate, etc.), you can also set the parameter `k` in conjunction with `n` for [G-Pass@k](http://arxiv.org/abs/2412.13147) evaluation. The formula for G-Pass@k is: +> +> $$ G-Pass@k_\tau=\mathbb{E}_{Data}\left[ \sum_{j=\lceil \tau \cdot k \rceil}^c \frac{{c \choose j} \cdot {n - c \choose k - j}}{{n \choose k}} \right], $$ +> +> where $n$ is the number of evaluations, and $c$ is the number of times that passed or were correct out of $n$ runs. An example configuration is as follows: ```python aime2024_datasets = [