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@@ -26,6 +26,13 @@ This repository contains in-the-wild robotic manipulation datasets collected usi
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  **pour_water_16_env_4_object** and **arrange_mouse_16_env_4_object**: These folders contain data from 16 environments, with 4 different manipulation objects per environment, and 120 demonstrations per object.
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- These datasets can be used to train policies that generalize effectively to novel environments and objects.
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- For more details on how to use our datasets, please refer to our [code](https://github.com/Fanqi-Lin/Data-Scaling-Laws).
 
 
 
 
 
 
 
 
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  **pour_water_16_env_4_object** and **arrange_mouse_16_env_4_object**: These folders contain data from 16 environments, with 4 different manipulation objects per environment, and 120 demonstrations per object.
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+ Note that due to the size of the pour_water_16_env_4_object/dataset.zarr.zip file (over 50GB), it has been split into two parts. You can restore the full dataset using the following command:
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+ ```shell
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+ cat pour_water_16_env_4_object/dataset_part_* > pour_water_16_env_4_object/dataset.zarr.zip
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+ ```
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+
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+ ## Additional Information
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+ + Each dataset is a merge of smaller datasets (one per environment-object pair). Inside each folder, you will find a **count.txt** file that lists the number of demonstrations in each smaller dataset.
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+ + These datasets can be used to train policies that generalize effectively to novel environments and objects.
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+ + For more details on how to use our datasets, please refer to our [code](https://github.com/Fanqi-Lin/Data-Scaling-Laws).