updated readme

README.md

@@ -45,7 +45,7 @@ task_ids:
 
 ### Dataset Summary
 
-A dataset containing three sets of playing card images. Each set contains 10,000 images and has a series of attributes. Cards are randomly rotated, flipped and scaled (within limits).
+A dataset containing four sets of playing card images. Each set contains 10,000 images and has a series of attributes. Cards are randomly rotated, flipped and scaled (within limits).
 
 Train and test splits are provided in both JSON and pickle formats. Concept and task classification labels (both zero indexed) and names are provided in txt files.
 
@@ -131,6 +131,26 @@ Three playing cards on a random background. Class label is set to hand rank for
 }
 ```
 
+#### Class-level Three card poker
+
+Three playing cards on a random background. Class label is set to hand rank for the game Three card poker. This set of samples have concepts set to the class. Every instance of the same class will have the same concept vector.
+
+* **Number of playing cards**: 3
+* **Concepts**: Cards present
+* **Class label**: Hand rank
+* **Card points**: Coordinates of the cards and card classifications
+
+##### Example
+
+```
+5992, {
+	'img_path': 'imgs/three_card_poker_class_level/5992.png',
+	'concept_label': [0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1],
+	'class_label': 5,
+	'card_points': [[[(539, 98), (574, 247), (317, 150), (351, 298)], 5], [[(388, 457), (354, 309), (610, 406), (576, 257)], 10], [[(613, 416), (647, 565), (390, 468), (425, 616)], 7]]
+}
+```
+
 ### Data Fields
 
 * String file path from the root of the dataset to a given samples image file
@@ -357,6 +377,35 @@ Three playing cards on a random background. Class label is set to hand rank for
 | AH | 359 | 150 |
 | AS | 351 | 156 |
 
+#### Class-level Three card poker
+
+##### Task classification
+
+| Class name | Count train | Count val |
+| --- | --- | --- |
+| straight_flush | 1166 | 501 |
+| three_of_a_kind | 1166 | 501 |
+| straight | 1166 | 501 |
+| flush | 1166 | 501 |
+| pair | 1166 | 500 |
+| high_card | 1166 | 500 |
+
+##### Concepts
+
+| Concept name | Count train | Count val |
+| --- | --- | --- |
+| 2H | 1166 | 501 |
+| 3H | 2332 | 1002 |
+| 4C | 2332 | 1002 |
+| 4D | 2332 | 1002 |
+| 4H | 1166 | 501 |
+| 4S | 2332 | 1001 |
+| 5C | 1166 | 500 |
+| 5D | 3498 | 1501 |
+| 6D | 1166 | 501 |
+| 9D | 1166 | 501 |
+| 10H | 2332 | 1000 |
+
 ## Dataset Creation
 
 ### Curation Rationale