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README.md

@@ -2,48 +2,26 @@
 license: mit
 tags:
 - semantic-distance-coding
-- medium
 - chart
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: caption
-    dtype: string
-  - name: name
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 93359
-    num_examples: 2
-  download_size: 95576
-  dataset_size: 93359
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+- medium
 ---
 
 # sdc-gradient-chart-medium-v1
 
-Gradient chart data — Medium tier
+Gradient chart and heatmap images — Medium tier
 
 ## Dataset Info
 
-- **Rows**: 13
-- **Columns**: 6
+- **Rows**: 2
+- **Columns**: 3
 
 ## Columns
 
 | Column | Type | Description |
 |--------|------|-------------|
-| language | Value('string') | Programming language name |
-| tiobe_pct | Value('float64') | TIOBE percentage |
-| pass_at_1 | Value('float64') | Pass@1 percentage |
-| pass_at_1_std | Value('float64') | Std across 3 runs |
-| condition | Value('string') | zero-shot |
-| source | Value('string') | this_experiment or esolang_bench_paper |
+| image | Image(mode=None, decode=True) | Chart image (PNG) |
+| caption | Value('string') | Chart description |
+| name | Value('string') | Chart identifier |
 
 
 ## Generation Parameters
@@ -52,15 +30,10 @@ Gradient chart data — Medium tier
 {
   "script_name": "run_medium_zero_shot.py",
   "model": "gpt-5-2",
-  "description": "Gradient chart data \u2014 Medium tier",
+  "description": "Gradient chart and heatmap images \u2014 Medium tier",
   "tier": "medium",
-  "hyperparameters": {
-    "temperature": 0.7,
-    "max_tokens": "model_maximum"
-  },
-  "input_datasets": [
-    "Lossfunk/Esolang-Bench"
-  ]
+  "hyperparameters": {},
+  "input_datasets": []
 }
 ```