five

aworld_visualwebarena

收藏
魔搭社区2025-09-29 更新2025-09-06 收录
下载链接:
https://modelscope.cn/datasets/kevinakira/aworld_visualwebarena
下载链接
链接失效反馈
官方服务:
资源简介:
数据集文件元信息以及数据文件,请浏览“数据集文件”页面获取。 当前数据集卡片使用的是默认模版,数据集的贡献者未提供更加详细的数据集介绍,但是您可以通过如下GIT Clone命令,或者ModelScope SDK来下载数据集 #### 下载方法 :modelscope-code[]{type="sdk"} :modelscope-code[]{type="git"} # Recon-Act: A Self-Evolving Multi-Agent Browser-Use System via Web Reconnaissance, Tool Generation, and Task Execution ## json format ``` { "0": { "info": { "fail_error": "", "observation_metadata": { "text": { "url": <currnet_url> "obs_nodes_info": <text observation info from browser environment, align with the visualwebarena dataset>, "tabs": <\tabs info> }, "image": { "obs_nodes_info": { <bounding box coordinate (xywh) align with the text obs_nodes_info> } } }, "intent": <intent>, "input_images": <input_images>, "ss_ori": <original screenshot relative path>, "ss_som": <som screenshot relative path> }, "action": { # same with visualwebarena dataset "action_type": <action type number>, "coords": [ 0.0, 0.0 ], "element_role": 0, "element_name": "", "text": [], "page_number": 0, "url": "", "nth": 0, "pw_code": "", "element_id": "", "key_comb": "", "direction": "", "answer": <answer from stop action>, "raw_prediction": <raw response of action team>, "action_info": { "pred_action_history": "", "pred_action_description": "", "pred_action": "", "pred_action_type": "", "pred_bbox": "", "pred_type_value": "", "pred_click_point": "", "parse_error_msg": "", "content_to_memo": "" } } } } ``` action_type see the codes below: ``` class ActionTypes(IntEnum): """Valid action types for browser env.""" NONE = 0 # mouse wheel and keyboard, universal across all action spaces SCROLL = 1 KEY_PRESS = 2 # low level mouse and keyboard actions MOUSE_CLICK = 3 KEYBOARD_TYPE = 4 MOUSE_HOVER = 5 # mid level mouse and keyboard actions CLICK = 6 TYPE = 7 HOVER = 8 # page level actions, universal across all action spaces PAGE_FOCUS = 9 NEW_TAB = 10 GO_BACK = 11 GO_FORWARD = 12 GOTO_URL = 13 PAGE_CLOSE = 14 # high-leval actions that playwright support CHECK = 15 SELECT_OPTION = 16 STOP = 17 CLEAR = 18 UPLOAD = 19 WAIT = 20 DRAG = 21 ```

数据集文件的元信息与数据文件,请前往「数据集文件」页面获取。 当前数据集卡片采用默认模板制作,数据集贡献者未提供更详尽的数据集介绍,但您可通过下述Git Clone命令或ModelScope软件开发工具包(SDK)下载该数据集。 #### 下载方法 :modelscope-code[]{type="sdk"} :modelscope-code[]{type="git"} # Recon-Act:基于网页侦察、工具生成与任务执行的自进化多智能体浏览器交互系统 ## 格式说明 { "0": { "info": { "fail_error": "", "observation_metadata": { "text": { "url": <currnet_url> "obs_nodes_info": <text observation info from browser environment, align with the visualwebarena dataset>, "tabs": < abs info> }, "image": { "obs_nodes_info": { <bounding box coordinate (xywh) align with the text obs_nodes_info> } } }, "intent": <intent>, "input_images": <input_images>, "ss_ori": <original screenshot relative path>, "ss_som": <som screenshot relative path> }, "action": { # 与视觉网页竞技场(VisualWebArena)数据集一致 "action_type": <action type number>, "coords": [ 0.0, 0.0 ], "element_role": 0, "element_name": "", "text": [], "page_number": 0, "url": "", "nth": 0, "pw_code": "", "element_id": "", "key_comb": "", "direction": "", "answer": <answer from stop action>, "raw_prediction": <raw response of action team>, "action_info": { "pred_action_history": "", "pred_action_description": "", "pred_action": "", "pred_action_type": "", "pred_bbox": "", "pred_type_value": "", "pred_click_point": "", "parse_error_msg": "", "content_to_memo": "" } } } } 动作类型详见下述代码: class ActionTypes(IntEnum): """浏览器环境下的有效动作类型。""" NONE = 0 # 鼠标滚轮与键盘操作,适用于所有动作空间 SCROLL = 1 KEY_PRESS = 2 # 低级鼠标与键盘操作 MOUSE_CLICK = 3 KEYBOARD_TYPE = 4 MOUSE_HOVER = 5 # 中级鼠标与键盘操作 CLICK = 6 TYPE = 7 HOVER = 8 # 页面级操作,适用于所有动作空间 PAGE_FOCUS = 9 NEW_TAB = 10 GO_BACK = 11 GO_FORWARD = 12 GOTO_URL = 13 PAGE_CLOSE = 14 # Playwright支持的高级操作 CHECK = 15 SELECT_OPTION = 16 STOP = 17 CLEAR = 18 UPLOAD = 19 WAIT = 20 DRAG = 21
提供机构:
maas
创建时间:
2025-09-03
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作