Update README.md

README.md

@@ -65,7 +65,7 @@ size_categories:
 # BannerBench: Benchmarking Vision Language Models for Multi-Ad Selection with Human Preferences
 
 ### Dataset Summary
-> The BannerBench is designed to evaluate the ability of VLMs to identify the banner that best matches human preferences from a set of candidates.
+The BannerBench is designed to evaluate the ability of VLMs to identify the banner that best matches human preferences from a set of candidates.
 
 ## Dataset Structure
 The structure of the raw dataset is as follows:
@@ -143,11 +143,13 @@ An example of the dataset is as follows:
 
 ## Dataset Creation
 
-> BannerBench construction process consists of the following 3 steps;
-> (1)we collected sets of five banners derived from a single LP (Banner Sets; BSs), (2)we annotated human preference to the BSs, (3)we propose two subtasks: Ranking and Best-Choice.
+BannerBench construction process consists of the following 3 steps;
+1. we collected sets of five banners derived from a single LP (Banner Sets; BSs),
+2. we annotated human preference to the BSs,
+3. we propose two subtasks: Ranking and Best-Choice.
 
 ## Considerations for Using the Data
-> Since BannerBench is intended solely for evaluation purposes, it is not designed for training use; the benchmark focuses on assessing the inductive capabilities of VLMs.
+Since BannerBench is intended solely for evaluation purposes, it is not designed for training use; the benchmark focuses on assessing the inductive capabilities of VLMs.
 
 ## License
 AdTEC dataset is released under the [CreativeCommons Attribution-NonCommercial-ShareAlike 4.0 International license](./LICENSE).