MC-Mind2Web

Data Splits

Split	Tasks	Actions
train	1,009	7,775
test_task	177	1,339
test_website	142	1,019
test_domain	694	4,060
Total	2,022	14,193

Data Fields

Fields

Identifiers:

• action_uid (str): unique id for each action (step)
• annotation_id (str): unique id for each task

Context:

• domain (str): website domain
• subdomain (str): website subdomain
• website (str): website name

Visual:

• screenshot (image): webpage screenshot image corresponding to the HTML (loaded as PIL Image object)

HTML Content:

• pos_candidates (list[str]): 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[str]): other candidate elements in the page after preprocessing, has similar structure as "pos_candidates"
• cleaned_html (str): cleaned html of the page before the action is performed
• raw_html (str): raw html of the page before the action is performed

Task Information (Original):

• confirmed_task (str): task description
• action_reprs (list[str]): human readable string representation of the action sequence
• target_action_index (str): the index of the target action in the action sequence
• target_action_reprs (str): human readable string representation of the target action
• operation (str): 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

Task Information (MC-Mind2Web):

• vague_task (str): Vague version of the task instruction
• difficulty (str): Task difficulty level ("easy", "medium", "hard")

Action Information (MC-Mind2Web):

• dependent_value (str or None): Value that the action depends on
• selective_action (bool or None): Whether action requires selection from multiple options
• clarification_point (bool): Whether this action requires clarification
• clarification_details (str or None): Clarification dialogue details
  • modification_type (str): Type of modification ("omission", "generalization", or "unfeasible")
  • modified_value (str): value after modification
  • clarifying_question (str): Question asked to the user for clarification
  • user_response (str): User's response to the clarifying question

Visual Information (MC-Mind2Web):

• crop_bbox (str or None): Cropping information for visual elements
  • top (int): Top boundary of the screenshot crop
  • bottom (int): Bottom boundary of the screenshot crop
  • image_width (int): Width of the screenshot
  • image_height (int): Height of the screenshot
  • type (str): Type of bbox ("no_bbox", "invalid_bbox", or "valid_bbox")
  • element_bbox (dict or None): Bounding box of the target element
    • x (float): X coordinate of the element
    • y (float): Y coordinate of the element
    • width (float): Width of the element
    • height (float): Height of the element

Usage

Loading the Dataset

from datasets import load_dataset

# Load full dataset
dataset = load_dataset("ymwangv/MC-Mind2Web")

# Load specific split
train_dataset = load_dataset("ymwangv/MC-Mind2Web", split="train")