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@@ -14,9 +14,9 @@ Please upload datasets with the following convention
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  {robot}_{datatype}_{name}_dataset
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  ```
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  where:
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- - 'robot' is the embodiment / simulation you are using (e.g. koch, xarm, rx1)
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- - 'datatype' is included if the dataset is augmented or modified in any way (e.g. a dataset with masking applied: masked)
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- - 'name' is the activity or data you are collecting (e.g. for pick and place data name: pickandplace)
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  - Always end with an appended _dataset
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  A full example for a dataset collected using the Koch arms, that applies binary masking, and performs pick and place tasks:
@@ -29,6 +29,6 @@ Likewise, for trained models follow a similar convention
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  {robot}_{modeltype}_{name}_model
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  ```
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  where:
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- - 'modeltype' is the model used to train (e.g. action chunking with transformers: act)
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- - 'name' is the activity the model performs (e.g. for pick and place data name: pickandplace)
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  - Always end with an appended _model
 
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  {robot}_{datatype}_{name}_dataset
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  ```
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  where:
17
+ - ```robot``` is the embodiment / simulation you are using (e.g. koch, xarm, rx1)
18
+ - ```datatype``` is included if the dataset is augmented or modified in any way (e.g. a dataset with masking applied: masked)
19
+ - ```name``` is the activity or data you are collecting (e.g. for pick and place data name: pickandplace)
20
  - Always end with an appended _dataset
21
 
22
  A full example for a dataset collected using the Koch arms, that applies binary masking, and performs pick and place tasks:
 
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  {robot}_{modeltype}_{name}_model
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  ```
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  where:
32
+ - ```modeltype``` is the model used to train (e.g. action chunking with transformers: act)
33
+ - ```name``` is the activity the model performs (e.g. for pick and place data name: pickandplace)
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  - Always end with an appended _model