Update README.md

README.md

@@ -49,10 +49,13 @@ python inference.py --host=localhost:30001 --action_nums=8
 
 ## Instructions
 We have released the instructions for the training set, see the [file](https://github.com/Necolizer/RM-PRT/tree/main/instructions) for more information.
-The instructions are stored in the csv file, and each line stores the id, scene information, target object, instruction content, level, and generation time of an instruction.
+The instructions are stored in the csv file, and each line stores the id, scene information, target object, instruction content, task level, and generation time of instruction.
 This is an example
-| 42004445 | SpringWater,17,53,CocountMilk,19,61,Novel,-5,40, | CocountMilk | Please grab the creamy and flavorful object  on the front-right side that can be used as a dairy-free alternative in  cooking and baking and is located next to natural sourced water, ideal for  drinking and hydration. | 4    | 2    |
-| ----- | ------------------------------------------------ | ----------- | ------------------------------------------------------------ | ---- | ---- |
+
+| id | scene | target object | instruction| level| time |
+| ----- | ------------------------------------------------ | ----------- | :------------------------------------------------------------ | :----: | :----: |
+| 42004445 | SpringWater,17,53, CocountMilk,19,61, Novel,-5,40, | CocountMilk | Please grab the creamy and flavorful object  on the front-right side that can be used as a dairy-free alternative in  cooking and baking and is located next to natural sourced water, ideal for  drinking and hydration. | 4    | 2    |
+
 
 
 ## Available Baselines
@@ -61,7 +64,7 @@ This is an example
 - [RT-1](https://github.com/Necolizer/RM-PRT/tree/main/robotic_transformer_pytorch): Robotics Transformer for real-world control at scale
 - [RT-LP](https://github.com/Necolizer/RM-PRT/tree/main/RT-LP): Robotics Transformer with Language Parsing
 
-you can easily load the model, this is an example
+You can easily load the model, this is an example
 ```
 from bcz.Extractor import CustomExtractor