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@@ -3194,20 +3194,20 @@ The text annotations and timestamps are manually annotated.
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  ## Data Format
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- The dataset consists of six files with the following names:
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- `<set>_<split>.json`
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- Where, `set = {"main", "advanced_planning"}` and `split={"train", "val", "test"}`.
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- The json files store a list of dictionaries corresponding to a video from the CaptainCook4D dataset. The dictionary contains the following fields:
 
 
 
 
 
 
 
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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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+ `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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