Update README.md

README.md

@@ -19,17 +19,6 @@ dataset_info:
     dtype: string
   - name: full_text_only_thought
     dtype: string
-  - name: meta_info
-    struct:
-    - name: map
-      sequence:
-        sequence: string
-    - name: icon_info
-      dtype: string
-    - name: task_type
-      dtype: string
-    - name: goal_object
-      dtype: string
   splits:
   - name: test
     num_bytes: 10179370
@@ -65,46 +54,33 @@ A multimodal chain-of-thought reasoning dataset for game navigation and puzzle-s
 
 This dataset contains 100 visual reasoning examples from various game scenarios, featuring step-by-step reasoning with intermediate visual representations.
 
-### Supported Tasks
-
-- **Navigation**: Path planning in grid-based game environments
-- **Puzzle-solving**: Goal-oriented reasoning tasks
-
 ## Dataset Structure
 
-Each example contains:
-
 | Field | Type | Description |
 |-------|------|-------------|
-| `pid` | string | Unique problem ID (`{scene}_{task}_{width}_{height}_{index}`) |
+| `pid` | string | Unique problem ID |
 | `question` | string | Task description |
 | `answer` | string | Expert path / solution |
-| `problem_image_0` | image | Initial game state visualization |
-| `resoning_thought_0` | string | First round reasoning text |
-| `reasoning_image_0` | image | Intermediate reasoning visualization |
-| `resoning_thought_1` | string | Second round reasoning text |
-| `full_text_only_thought` | string | Complete text-only reasoning chain |
-| `task` | string | Task identifier (`{scene}_{task}`) |
-| `meta_info` | dict | Metadata for verification |
+| `problem_image_0` | image | Initial game state |
+| `resoning_thought_0` | string | First round reasoning |
+| `reasoning_image_0` | image | Reasoning visualization |
+| `resoning_thought_1` | string | Second round reasoning |
+| `task` | string | Task identifier |
+| `full_text_only_thought` | string | Complete reasoning chain |
+| `meta_info` | dict | Metadata (map, icon_info, task_type, goal_object) |
 
-### Meta Info Structure
+## Usage
 
 ```python
-{
-  "map": [
-    ["1", "1", "f", "1", "f"],
-    ["0", "1", "0", "s", "0"],
-    ["1", "f", "1", "0", "1"],
-    ["1", "0", "1", "1", "1"]
-  ],
-  # Grid layout: "0"=empty, "1"=wall, "s"=start, "f"=goal, etc.
-  
-  "icon_info": {
-    "key": {"flags": ["A"], "pos": [(0, 2)]},
-    "treasure": {"flags": ["B", "C"], "pos": [(2, 1), (0, 4)]}
-  },
-  # Object definitions with flags and positions
-  
-  "task_type": "navigation",
-  "goal_object": "treasure"
-}
+from datasets import load_dataset
+
+dataset = load_dataset("huzican/eval_game")
+example = dataset["test"][0]
+
+# View images
+example['problem_image_0'].show()
+example['reasoning_image_0'].show()
+
+# Access reasoning
+print(example['resoning_thought_0'])
+print(example['resoning_thought_1'])