Update README.md

README.md

@@ -2,57 +2,48 @@
 # ... (license, tags, etc.)
 dataset_info:
   features:
-    # Fields directly from your metadata.jsonl
-    - name: file_name # This is standard for image datasets
+    - name: file_name
+      dtype: string
+    - name: image_id
       dtype: string
-    - name: image_id   # The ID you added
-      dtype: string   # Since we made it string
     - name: height
-      dtype: int32    # Assuming it's int32, adjust if needed
+      dtype: int32
     - name: width
-      dtype: int32    # Assuming it's int32
+      dtype: int32
     - name: dataset_origin
       dtype: string
     - name: distance_category
       dtype: string
-    - name: objects
-      sequence:
-        feature:
-          - name: id
-            dtype: string # Annotation ID, now string
-          - name: area
+    - name: objects # This is a sequence of dictionaries
+      sequence:     # Each element in the sequence is a dictionary defined by 'feature'
+        feature:    # 'feature' itself should map to a dictionary of fields
+          id: # name of the field within the object
+            dtype: string
+          area:
             dtype: float32
-          - name: bbox
-            sequence: float32
-          - name: category_id
-            dtype: int64 # Or int32, should be integer
-    - name: categories
+          bbox: # This is a sequence of simple values (floats)
+            sequence:
+              dtype: float32
+              # length: 4 # You can optionally specify length if it's always fixed
+          category_id:
+            dtype: int64
+    - name: categories # This is also a sequence of dictionaries
       sequence:
-        feature:
-          - name: id
-            dtype: int64 # Category ID
-          - name: name
+        feature:   # 'feature' maps to a dictionary of fields for each category
+          id:
+            dtype: int64
+          name:
             dtype: string
-          - name: supercategory
+          supercategory:
             dtype: string
-    # The 'image' field is often implicitly handled or can be added
     - name: image
       dtype: image
-  # --- Add config information if you have multiple (coco_far_voc, etc.) ---
-  # This helps Croissant understand different parts of your dataset
   configs:
-    - config_name: coco_far_voc # Match your restructured folder names
-      # data_files: # Optional but can help Croissant
-      #   - split: train # Or whatever your split name is
-      #     path: coco_far_voc/metadata.jsonl # Path relative to dataset root
-      #   - split: train
-      #     path: coco_far_voc/* # For images
+    - config_name: coco_far_voc
     - config_name: coco_farther_bdd
-      # ... and so on for all 6 configurations
+    - config_name: coco_near_voc
     - config_name: oi_far_voc
     - config_name: oi_farther_bdd
     - config_name: oi_near_voc
-    - config_name: coco_near_voc
-
 ---
 # Rest of your README.md content