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@@ -33,26 +33,20 @@ Below one can find the description of each field in the dataset.
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  - **`question_id` (str)**
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  Unique identifier for each question–agent pair.
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  - **`question` (str)**
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  Natural language navigation question describing whether an agent can move from a start area to a goal area.
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  - **`scene_id` (str)**
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  Identifier of the indoor scene (e.g., `HM3D00000`, `MP3D00027`).
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  - **`scene_type` (str)**
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  High-level category of the scene (e.g., `home`).
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  - **`scene_nodes` (list[dict])**
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  List of scene graph nodes available in the environment.
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  Each node contains:
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  - `node_id` (str): Unique identifier of the node
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  - `name` (str): Human-readable node name (e.g., room or area label)
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  - **`agent_name` (str)**
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  Name of the agent under which the navigation question should be evaluated.
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  This field links to an entry in the Agent Profiles Dataset.
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  - **`answer` (optional / null)**
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  Ground-truth navigation feasibility label.
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  This field is intentionally left empty in the current release and may be populated in future versions.
@@ -69,38 +63,27 @@ This dataset defines the physical properties and functional capabilities of each
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  used in the CapNav benchmark.
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  #### Data Fields
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  - **`agent_name` (str)**
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  Unique identifier of the agent (e.g., `HUMAN`, `WHEELCHAIR`, `SWEEPER`).
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  - **`body_shape` (str)**
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  Abstract geometric representation of the agent’s body (e.g., `cylinder`, `box`).
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  - **`body_height_m` (float)**
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  Agent height in meters.
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  - **`body_width_m` (float)**
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  Agent width in meters.
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  - **`body_depth_m` (float, optional)**
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  Agent depth in meters.
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  May be `null` for rotationally symmetric agents.
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  - **`max_vertical_cross_height_m` (float)**
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  Maximum vertical obstacle height the agent can cross.
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  - **`can_go_up_or_down_stairs` (bool)**
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  Indicates whether the agent is capable of traversing stairs.
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  - **`can_operate_elevator` (bool)**
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  Indicates whether the agent can operate and use elevators.
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  - **`can_open_the_door` (bool)**
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  Indicates whether the agent can open doors independently.
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  - **`description` (str)**
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  Natural language description summarizing the agent’s physical and functional characteristics.
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  ---
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  ## Relationship Between the Datasets
 
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  - **`question_id` (str)**
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  Unique identifier for each question–agent pair.
 
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  - **`question` (str)**
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  Natural language navigation question describing whether an agent can move from a start area to a goal area.
 
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  - **`scene_id` (str)**
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  Identifier of the indoor scene (e.g., `HM3D00000`, `MP3D00027`).
 
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  - **`scene_type` (str)**
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  High-level category of the scene (e.g., `home`).
 
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  - **`scene_nodes` (list[dict])**
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  List of scene graph nodes available in the environment.
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  Each node contains:
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  - `node_id` (str): Unique identifier of the node
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  - `name` (str): Human-readable node name (e.g., room or area label)
 
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  - **`agent_name` (str)**
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  Name of the agent under which the navigation question should be evaluated.
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  This field links to an entry in the Agent Profiles Dataset.
 
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  - **`answer` (optional / null)**
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  Ground-truth navigation feasibility label.
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  This field is intentionally left empty in the current release and may be populated in future versions.
 
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  used in the CapNav benchmark.
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  #### Data Fields
 
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  - **`agent_name` (str)**
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  Unique identifier of the agent (e.g., `HUMAN`, `WHEELCHAIR`, `SWEEPER`).
 
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  - **`body_shape` (str)**
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  Abstract geometric representation of the agent’s body (e.g., `cylinder`, `box`).
 
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  - **`body_height_m` (float)**
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  Agent height in meters.
 
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  - **`body_width_m` (float)**
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  Agent width in meters.
 
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  - **`body_depth_m` (float, optional)**
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  Agent depth in meters.
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  May be `null` for rotationally symmetric agents.
 
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  - **`max_vertical_cross_height_m` (float)**
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  Maximum vertical obstacle height the agent can cross.
 
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  - **`can_go_up_or_down_stairs` (bool)**
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  Indicates whether the agent is capable of traversing stairs.
 
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  - **`can_operate_elevator` (bool)**
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  Indicates whether the agent can operate and use elevators.
 
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  - **`can_open_the_door` (bool)**
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  Indicates whether the agent can open doors independently.
 
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  - **`description` (str)**
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  Natural language description summarizing the agent’s physical and functional characteristics.
 
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  ---
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  ## Relationship Between the Datasets