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Such episodes are usually similar in description and are collected in the same day. I did the following:
Download text metadata for all episodes with gsutil (300 MB from raw dataset): gsutil -m rsync -r -x "(.*npy)|(.*mp4)|(.*svo)|(.*h5)|(failure)|(timestamp)" gs://gresearch/robotics/droid_raw/1.0.1/ droid_raw
Create a list of UUIDs and language instructions
Now you can filter the language instructions and sort by episode collection time. Then it's possible to detect episodes with the same setup
Why not to use the annotation file in the root of the dataset? Because it contains non-existent or failed episodes.
Hi,
A task may be collected multiple times by expert under the same setup. How can I get such data? (same task same environment)
best,
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