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@@ -3195,18 +3195,19 @@ The text annotations and timestamps are manually annotated.
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  ## Data Format
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  The dataset can be loaded using the following command:
 
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  `load_dataset("qualcomm/qualcomm-interactive-cooking-dataset", <set>, split=<split>)`
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  Where, `set = {“main”, “advanced_planning”}` and `split={“train”, “validation”, “test”}`.
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  Each row of the dataset corresponds to a video from the CaptainCook4D dataset. The row contains the following columns:
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- 1. video_id: The identifier of the video from CaptainCook4D.
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- 2. activity_name: The name of the recipe in the video.
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- 3. output_texts: The instruction and feedback messages.
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- 4. output_timestamps: The timestamp corresponding to each instruction and feedback message.
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- 5. output_types: The type of each message in output_texts classified as described in Appendix B.
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- 6. output_actions: The action that the user performed corresponding to each feedback message.
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- 7. remaining_plan: The remaining step-by-step plan before each instruction or feedback message.
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  ## Dataset license
 
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  ## Data Format
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  The dataset can be loaded using the following command:
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+
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  `load_dataset("qualcomm/qualcomm-interactive-cooking-dataset", <set>, split=<split>)`
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  Where, `set = {“main”, “advanced_planning”}` and `split={“train”, “validation”, “test”}`.
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  Each row of the dataset corresponds to a video from the CaptainCook4D dataset. The row contains the following columns:
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+ - 1. `video_id`: The identifier of the video from CaptainCook4D.
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+ - 2. `activity_name`: The name of the recipe in the video.
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+ - 3. `output_texts`: The instruction and feedback messages.
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+ - 4. `output_timestamps`: The timestamp corresponding to each instruction and feedback message.
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+ - 5. `output_types`: The type of each message in output_texts classified as described in Appendix B.
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+ - 6. `output_actions`: The action that the user performed corresponding to each feedback message.
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+ - 7. `remaining_plan`: The remaining step-by-step plan before each instruction or feedback message.
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  ## Dataset license