Update README.md

README.md

@@ -7,4 +7,29 @@ language:
 pretty_name: MT-Mind2Web
 tags:
 - web navigation
----
+---
+# MT-Mind2Web Dataset
+## Dataset Structure
+- "task_id" (str): unique id for each task
+- "website" (str): website name
+- "domain" (str): website domain
+- "subdomain" (str): website subdomain
+- "turns" (list[dict]): list of subtasks
+    - "annotation_id" (str): unique id for each subtask
+    - "confirmed_task" (str): subtask description
+    - "action_reprs" (list[str]): human readable string representation of the action sequence
+    - "actions" (list[dict]): list of actions (steps) to complete the subtask
+        - "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
+        - "operation" (dict): operation to perform
+            - "op" (str): operation type, one of CLICK, TYPE, SELECT
+            - "original_op" (str): original operation type, contain additional HOVER and ENTER that are mapped to CLICK, not used
+            - "value" (str): optional value for the operation, e.g., text to type, option to select
+        - "pos_candidates" (list[dict]): ground truth elements. Here we only include positive elements that exist in "cleaned_html" after our preprocessing, so "pos_candidates" might be empty. The original labeled element can always be found in the "raw_html".
+            - "tag" (str): tag of the element
+            - "is_original_target" (bool): whether the element is the original target labeled by the annotator
+            - "is_top_level_target" (bool): whether the element is a top level target find by our algorithm. please see the paper for more details.
+            - "backend_node_id" (str): unique id for the element
+            - "attributes" (str): serialized attributes of the element, use `json.loads` to convert back to dict
+        - "neg_candidates" (list[dict]): other candidate elements in the page after preprocessing, has similar structure as "pos_candidates"