Datasets:
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README.md
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dtype: image
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- name: action_reprs
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sequence: string
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splits:
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- name: test_website
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num_bytes: 1589513606.713
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- "domain" (str): website domain
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- "subdomain" (str): website subdomain
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- "confirmed_task" (str): task description
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- "action_reprs" (list[str]): human readable string representation of the action sequence
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- **"screenshot" (str): path to the webpage screenshot image corresponding to the HTML.**
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- "action_uid" (str): unique id for each action (step)
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- "raw_html" (str): raw html of the page before the action is performed
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- "backend_node_id" (str): unique id for the element
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- "attributes" (str): serialized attributes of the element, use `json.loads` to convert back to dict
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- "neg_candidates" (list[dict]): other candidate elements in the page after preprocessing, has similar structure as "pos_candidates"
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dtype: image
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- name: action_reprs
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sequence: string
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- name: target_action_index
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sequence: string
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- name: target_action_reprs
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sequence: string
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splits:
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- name: test_website
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num_bytes: 1589513606.713
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- "domain" (str): website domain
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- "subdomain" (str): website subdomain
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- "confirmed_task" (str): task description
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- **"screenshot" (str): path to the webpage screenshot image corresponding to the HTML.**
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- "action_uid" (str): unique id for each action (step)
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- "raw_html" (str): raw html of the page before the action is performed
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- "backend_node_id" (str): unique id for the element
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- "attributes" (str): serialized attributes of the element, use `json.loads` to convert back to dict
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- "neg_candidates" (list[dict]): other candidate elements in the page after preprocessing, has similar structure as "pos_candidates"
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- "action_reprs" (list[str]): human readable string representation of the action sequence
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- "target_action_index" (str): the index of the target action in the action sequence
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- "target_action_reprs" (str): human readable string representation of the target action
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