Ayush8120 commited on
Commit
a53fb75
1 Parent(s): e156e1e

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +11 -11
README.md CHANGED
@@ -13,37 +13,37 @@ Commonsene Object Affordance Task [COAT]
13
  </p>
14
 
15
  ### Experimental Setup:
16
- - Task List: [tasks](https://github.com/com-phy-affordance/com-affordance/blob/main/tasks.json)
17
- - Object List: [objects](https://github.com/com-phy-affordance/com-affordance/blob/main/concepts.json)
18
- - Utility List[^1]: [utilities](https://github.com/com-phy-affordance/com-affordance/blob/main/concepts.json)
19
  - Variables Used:
20
  ```temperature```, ```mass```, ```material```, ```already-in-use```, ```condition```
21
 
22
  ### Utility Level Pruning:
23
  This gives us ```Utility```to``Object`` mappings also called ```utility objects```
24
- - GT Object-Utility Mappings : [utility-mappings](https://github.com/com-phy-affordance/com-affordance/blob/main/objects.json)
25
 
26
  ### Task-u(Utility Level):
27
  Here we evaluate models on their ability to prune out appropriate objects on the basis of Utility.
28
- - GT (Utility)-(Object) Mappings: [utility-objects](https://github.com/com-phy-affordance/com-affordance/blob/main/objects.json)
29
  - Task-u Dataset: [4 Variations](https://drive.google.com/drive/folders/1JJSIicKGp0a7ThsenKl0XWKsTtPL_b5z?usp=sharing)
30
 
31
  ### Task-0(Context Level):
32
  Here we evaluate models on their ability to prune out appropriate objects on the basis of Context. This gives us ```(Task,Utility)```to``Object`` mappings also called ```context objects```
33
- - GT (Task-Utility)-(Object) Mappings: [context-objects](https://github.com/com-phy-affordance/com-affordance/blob/main/oracle.json)
34
  - Task-0 Dataset: [4 Variations](https://drive.google.com/drive/folders/1reH0JHhPM_tFzDMcAaJF0PycFMixfIbo?usp=sharing)
35
 
36
  ### Task-1(Physical State Level):
37
  Here we evaluate models on their ability to prune out the ```ideal``` configuration when presented with a number of ```context object``` configurations. (Something that is pretty obvious to humans)
38
- - All Possible Common Configurations: [possible configurations](https://github.com/com-phy-affordance/com-affordance/blob/main/task-1/possible_configurations_v1.json)
39
- - Ideal Configurations: [ideal configurations](https://github.com/com-phy-affordance/com-affordance/blob/main/task-1/pouch_config_oracle.json)
40
- - Commonsense Common Occurence Variables: [common variables values](https://github.com/com-phy-affordance/com-affordance/blob/main/task-1/common_var_responses.json)
41
  - Task-1 Dataset: [12 Variations](https://drive.google.com/drive/folders/1reH0JHhPM_tFzDMcAaJF0PycFMixfIbo?usp=sharing)
42
 
43
  ### Task-2(Physical State Level):
44
  Here we evaluate models on their ability to prune out the most appropriate```sub-optimal``` configuration when presented with a number of sub-optimal configurations of ```context objects```. (Something that is pretty obvious to humans)
45
- - Suboptimal Configurations: [suboptimal configurations](https://github.com/com-phy-affordance/com-affordance/blob/main/task-2/pouch_suboptimal.json)
46
- - Human Preference Material Order: [material preference](https://github.com/com-phy-affordance/com-affordance/blob/main/task-2/material_preference.json)
47
  - Task-2 Dataset: [14 Variations](https://drive.google.com/drive/folders/1reH0JHhPM_tFzDMcAaJF0PycFMixfIbo?usp=sharing)
48
  ---------------------------------------------------------------------------------------------------------------
49
 
 
13
  </p>
14
 
15
  ### Experimental Setup:
16
+ - Task List: [tasks](https://huggingface.co/datasets/Ayush8120/commonsense-embodied-affordance/blob/main/tasks.json)
17
+ - Object List: [objects](https://huggingface.co/datasets/Ayush8120/commonsense-embodied-affordance/blob/main/concepts.json)
18
+ - Utility List[^1]: [utilities](https://huggingface.co/datasets/Ayush8120/commonsense-embodied-affordance/blob/main/concepts.json)
19
  - Variables Used:
20
  ```temperature```, ```mass```, ```material```, ```already-in-use```, ```condition```
21
 
22
  ### Utility Level Pruning:
23
  This gives us ```Utility```to``Object`` mappings also called ```utility objects```
24
+ - GT Object-Utility Mappings : [utility-mappings](https://huggingface.co/datasets/Ayush8120/commonsense-embodied-affordance/blob/main/objects.json)
25
 
26
  ### Task-u(Utility Level):
27
  Here we evaluate models on their ability to prune out appropriate objects on the basis of Utility.
28
+ - GT (Utility)-(Object) Mappings: [utility-objects](https://huggingface.co/datasets/Ayush8120/commonsense-embodied-affordance/blob/main/objects.json)
29
  - Task-u Dataset: [4 Variations](https://drive.google.com/drive/folders/1JJSIicKGp0a7ThsenKl0XWKsTtPL_b5z?usp=sharing)
30
 
31
  ### Task-0(Context Level):
32
  Here we evaluate models on their ability to prune out appropriate objects on the basis of Context. This gives us ```(Task,Utility)```to``Object`` mappings also called ```context objects```
33
+ - GT (Task-Utility)-(Object) Mappings: [context-objects](https://huggingface.co/datasets/Ayush8120/commonsense-embodied-affordance/blob/main/oracle.json)
34
  - Task-0 Dataset: [4 Variations](https://drive.google.com/drive/folders/1reH0JHhPM_tFzDMcAaJF0PycFMixfIbo?usp=sharing)
35
 
36
  ### Task-1(Physical State Level):
37
  Here we evaluate models on their ability to prune out the ```ideal``` configuration when presented with a number of ```context object``` configurations. (Something that is pretty obvious to humans)
38
+ - All Possible Common Configurations: [possible configurations](https://huggingface.co/datasets/Ayush8120/commonsense-embodied-affordance/blob/main/task-1/possible_configurations_v1.json)
39
+ - Ideal Configurations: [ideal configurations](https://huggingface.co/datasets/Ayush8120/commonsense-embodied-affordance/blob/main/task-1/pouch_config_oracle.json)
40
+ - Commonsense Common Occurence Variables: [common variables values](https://huggingface.co/datasets/Ayush8120/commonsense-embodied-affordance/blob/main/task-1/common_var_responses.json)
41
  - Task-1 Dataset: [12 Variations](https://drive.google.com/drive/folders/1reH0JHhPM_tFzDMcAaJF0PycFMixfIbo?usp=sharing)
42
 
43
  ### Task-2(Physical State Level):
44
  Here we evaluate models on their ability to prune out the most appropriate```sub-optimal``` configuration when presented with a number of sub-optimal configurations of ```context objects```. (Something that is pretty obvious to humans)
45
+ - Suboptimal Configurations: [suboptimal configurations](https://huggingface.co/datasets/Ayush8120/commonsense-embodied-affordance/blob/main/task-2/pouch_suboptimal.json)
46
+ - Human Preference Material Order: [material preference](https://huggingface.co/datasets/Ayush8120/commonsense-embodied-affordance/blob/main/task-2/material_preference.json)
47
  - Task-2 Dataset: [14 Variations](https://drive.google.com/drive/folders/1reH0JHhPM_tFzDMcAaJF0PycFMixfIbo?usp=sharing)
48
  ---------------------------------------------------------------------------------------------------------------
49