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README.md

@@ -1,34 +1,48 @@
 ---
 dataset_info:
   features:
-    - name: images
-      list:
-        - name: bytes
-          dtype: binary
-        - name: path
-          dtype: string
-    - name: problem
-      dtype: string
-    - name: answer
-      dtype: string
+  - name: images
+    sequence: image
+  - name: problem
+    dtype: string
+  - name: answer
+    dtype: string
   splits:
-    - name: train
-      num_bytes: 147849216
-      num_examples: 500
-  download_size: 147849216
-  dataset_size: 147849216
+  - name: train
+    num_bytes: 106400000
+    num_examples: 500
+  download_size: 106400000
+  dataset_size: 106400000
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
 ---
 
 # Stepcount-500
 
-A benchmark dataset of 500 counting samples with object counts ranging from 11 to 50.
-
 ## Dataset Description
 
-- **Count Range**: 11-50  
-- **Distribution**: 11-20 (130), 21-30 (130), 31-40 (120), 41-50 (120)
-- **Format**: Parquet with embedded images
-- **Schema**: `images` (list of {bytes, path}), `problem` (string), `answer` (string)
+Stepcount-500 is a benchmark dataset of 500 counting samples with object counts ranging from 11 to 50.
+
+## Dataset Structure
+
+### Data Fields
+
+- `images`: A sequence of images (one image per sample)
+- `problem`: The question text describing the counting task
+- `answer`: The ground truth count number
+
+### Data Splits
+
+- **train**: 500 evaluation samples
+
+## Dataset Statistics
+
+- Count range: 11-50
+- Distribution: 11-20 (130), 21-30 (130), 31-40 (120), 41-50 (120)
+- Total dataset size: approximately 106 MB
 
 ## Usage
 

data/train-00000-of-00001.parquet

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