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README.md
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@@ -94,22 +94,21 @@ The DAVE dataset consists of two main splits: `ego4d` and `epic`, each correspon
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Each example contains the following fields:
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* **
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* **
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* **
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* **events**: Dictionary containing metadata about multiple events in the video:
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* `start`, `end`, `duration`: Timestamps and durations.
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* `narration`: Natural language descriptions.
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* `action`: Structured action annotations.
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* **event\_video\_path**: Clip extracted
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* **audio\_class**: The
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* **video\_with\_overlayed\_audio\_path**: Path to the video with audio overlayed on the
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* **silent\_video\_path**: Path to the video without any audio.
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* **overlayed\_audio\_path**: Path to the standalone audio clip
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* **video\_id**: Identifier for the video.
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* **participant\_id**: Identifier for the subject or participant (in case of Epic, None in case of Ego4D).
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* **type**: Video type or category (e.g., `"regular"` or `"
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* **raw\_choices\_**\*: Fields corresponding to multiple-choice options across various diagnostic sub-tasks:
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* `raw_choices_simple_audio_classification`
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Each example contains the following fields:
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* **compressed\_video\_path**: Path to a compressed version of the raw video: unedited video containing 4 events with the original audio.
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* **overlayed\_event\_index**: Index of the event which we overlay with an unrelated audio sound.
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* **events**: Dictionary containing metadata about the events in the video:
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* `start`, `end`, `duration`: Timestamps and durations.
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* `narration`: Natural language descriptions.
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* `action`: Structured action annotations.
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* **event\_video\_path**: Clip extracted from the overlayed event.
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* **audio\_class**: The audio class overlaid in this instance (e.g., `"crow", "dog bark", "door knock"`).
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* **video\_with\_overlayed\_audio\_path**: Path to the video with audio overlayed on the specified event.
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* **silent\_video\_path**: Path to the video without any audio.
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* **overlayed\_audio\_path**: Path to the standalone audio clip extracted from the video with the overlayed audio.
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* **video\_id**: Identifier for the video.
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* **participant\_id**: Identifier for the subject or participant (in case of Epic, `None` in case of Ego4D).
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* **type**: Video type or category (e.g., `"regular"` or `"none_of_the_above_incorrect_audio"`, `"none_of_the_above_no_sound"`), indicating the type of the task that sample belongs to.
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* **raw\_choices\_**\*: Fields corresponding to multiple-choice options across various diagnostic sub-tasks:
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* `raw_choices_simple_audio_classification`
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