From 5a5dd621fae5941226a3217f04b0252552804f1e Mon Sep 17 00:00:00 2001
From: hanhainebula <2512674094@qq.com>
Date: Fri, 10 Oct 2025 21:12:56 +0800
Subject: [PATCH] update examples README: support BRIGHT evaluation

---
 examples/evaluation/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/evaluation/README.md b/examples/evaluation/README.md
index ea88fc6c..931d2de9 100644
--- a/examples/evaluation/README.md
+++ b/examples/evaluation/README.md
@@ -1,6 +1,6 @@
 # Evaluation
 
-After fine-tuning the model, it is essential to evaluate its performance. To facilitate this process, we have provided scripts for assessing the model on various datasets. These datasets include: [**MTEB**](https://github.com/embeddings-benchmark/mteb), [**BEIR**](https://github.com/beir-cellar/beir), [**MSMARCO**](https://microsoft.github.io/msmarco/), [**MIRACL**](https://github.com/project-miracl/miracl), [**MLDR**](https://huggingface.co/datasets/Shitao/MLDR), [**MKQA**](https://github.com/apple/ml-mkqa), [**AIR-Bench**](https://github.com/AIR-Bench/AIR-Bench), and your **custom datasets**.
+After fine-tuning the model, it is essential to evaluate its performance. To facilitate this process, we have provided scripts for assessing the model on various datasets. These datasets include: [**MTEB**](https://github.com/embeddings-benchmark/mteb), [**BEIR**](https://github.com/beir-cellar/beir), [**MSMARCO**](https://microsoft.github.io/msmarco/), [**MIRACL**](https://github.com/project-miracl/miracl), [**MLDR**](https://huggingface.co/datasets/Shitao/MLDR), [**MKQA**](https://github.com/apple/ml-mkqa), [**AIR-Bench**](https://github.com/AIR-Bench/AIR-Bench), [**BRIGHT**](https://brightbenchmark.github.io/), and your **custom datasets**.
 
 To evaluate the model on a specific dataset, you can find the corresponding bash scripts in the respective folders dedicated to each dataset. These scripts contain the necessary commands and configurations to run the evaluation process.