Update README.md

README.md

@@ -59,7 +59,9 @@ dataset_info:
 
 ### Dataset Summary
 
-Multimodal-Mind2Web is the multimodal version of [Mind2Web](https://osu-nlp-group.github.io/Mind2Web/), a dataset for developing and evaluating generalist agents for the web that can follow language instructions to complete complex tasks on any website. In this dataset, we align each HTML document in the dataset with its corresponding webpage screenshot image from the Mind2Web raw dump, which undergoes human verification to confirm element visibility and correct rendering for action prediction.
+Multimodal-Mind2Web is the multimodal version of [Mind2Web](https://osu-nlp-group.github.io/Mind2Web/), a dataset for developing and evaluating generalist agents 
+for the web that can follow language instructions to complete complex tasks on any website. In this dataset, we align each HTML document in the dataset with 
+its corresponding webpage screenshot image from the Mind2Web raw dump. This multimodal version addresses the inconvenience of loading images from the ~300GB Mind2Web Raw Dump.
 
 ## Dataset Structure
 
@@ -69,19 +71,18 @@ Multimodal-Mind2Web is the multimodal version of [Mind2Web](https://osu-nlp-grou
 - test_website: 1019 actions from 142 tasks. Websites are not seen during training.
 - test_domain: 4060 actions from 694 tasks. Entire domains are not seen during training.
 
-The three test set splits have went through human verification to confirm element visibility and correct rendering for action prediction. 
+The **_train_** set may include some screenshot images not properly rendered caused by rendering issues during Mind2Web annotation. The three **_test splits (test_task, test_website, test_domain)_** have undergone human verification to confirm element visibility and correct rendering for action prediction.
 
-Each line in the dataset is an action consisting of screenshot image, HTML text and other fields required for action prediction, for the convenience of inference. 
 
 ### Data Fields
-
+Each line in the dataset is an action consisting of screenshot image, HTML text and other fields required for action prediction, for the convenience of inference. 
 - "annotation_id" (str): unique id for each task
 - "website" (str): website name
 - "domain" (str): website domain
 - "subdomain" (str): website subdomain
 - "confirmed_task" (str): task description
 - "action_reprs" (list[str]): human readable string representation of the action sequence
-- "screenshot" (str): path to the webpage screenshot image corresponding to the HTML.
+- **"screenshot" (str): path to the webpage screenshot image corresponding to the HTML.**
 - "action_uid" (str): unique id for each action (step)
 - "raw_html" (str): raw html of the page before the action is performed
 - "cleaned_html" (str): cleaned html of the page before the action is performed