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  **InspecSafe-V1** is a high-quality, multimodal annotated dataset designed for **world model construction and analysis in industrial environments**. The data was collected from real-world inspection robots deployed across industrial sites and has been carefully cleaned and standardized for research and applications in predictive world modeling for industrial scenarios.
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- The dataset covers five representative industrial settings: tunnels, power facilities, sintering equipment, oil/gas/chemical plants, and coal conveyor galleries. It was constructed using data from 41 wheeled or rail-mounted inspection robots operating at 2,239 valid inspection waypoints. At each waypoint, eight synchronized modalities are provided:
 
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  - Visible-light video
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  - Infrared video
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  - Audio
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- - Depth point clouds
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- - LiDAR point clouds
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  - Gas concentration readings
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  - Temperature
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- - Humidity
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  Additionally, pixel-level polygonal segmentation annotations are provided for industrial objects in visible-light images. To support downstream tasks, each sample is also accompanied by a semantic scene description and a corresponding safety-level label based on real inspection protocols.
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  ## Dataset Format
 
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  **InspecSafe-V1** is a high-quality, multimodal annotated dataset designed for **world model construction and analysis in industrial environments**. The data was collected from real-world inspection robots deployed across industrial sites and has been carefully cleaned and standardized for research and applications in predictive world modeling for industrial scenarios.
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+ The dataset covers five representative industrial settings: tunnels, power facilities, sintering equipment, oil/gas/chemical plants, and coal conveyor galleries. It was constructed using data from 41 wheeled or rail-mounted inspection robots operating at 2,239 valid inspection waypoints. Across the dataset, multimodal records may include visible-light video, infrared video, audio, depth or LiDAR point clouds, gas concentration readings, temperature, and humidity. Depending on the inspection robot, sensing configuration, and waypoint conditions, each inspection waypoint is associated with the available subset of these modalities rather than necessarily containing all modality types.
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+ The available modality types include:
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  - Visible-light video
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  - Infrared video
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  - Audio
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+ - Depth or LiDAR point clouds
 
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  - Gas concentration readings
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  - Temperature
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+ - Humidity
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+
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  Additionally, pixel-level polygonal segmentation annotations are provided for industrial objects in visible-light images. To support downstream tasks, each sample is also accompanied by a semantic scene description and a corresponding safety-level label based on real inspection protocols.
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  ## Dataset Format