Type standard_image / noise_image as image columns

README.md

@@ -4,6 +4,8 @@ license: odc-by
 task_categories:
   - image-to-text
   - text-generation
+language:
+  - en
 tags:
   - screenshot-to-code
   - multimodal
@@ -18,7 +20,52 @@ configs:
     default: true
     data_files:
       - split: train
-        path: "data/examples.jsonl"
+        path: data/train-*.parquet
+dataset_info:
+  features:
+    - name: standard_image
+      dtype: image
+    - name: noise_image
+      dtype: image
+    - name: example_id
+      dtype: string
+    - name: source_id
+      dtype: string
+    - name: pattern_family
+      dtype: string
+    - name: pattern_name
+      dtype: string
+    - name: attribute_name
+      dtype: string
+    - name: attribute_token
+      dtype: string
+    - name: position
+      dtype: string
+    - name: target_value
+      dtype: string
+    - name: target_value_from_filename
+      dtype: string
+    - name: bias_value
+      dtype: string
+    - name: pattern_description
+      dtype: string
+    - name: element_description
+      dtype: string
+    - name: code_snippet_line
+      dtype: string
+    - name: code_snippet_context
+      dtype: string
+    - name: html_path
+      dtype: string
+    - name: standard_image_path
+      dtype: string
+    - name: noise_image_path
+      dtype: string
+    - name: modified_index
+      dtype: int32
+  splits:
+    - name: train
+      num_examples: 720
 ---
 
 # Pattern2Code
@@ -55,22 +102,30 @@ value from the image.
 ## Layout
 
 ```text
-data/examples.jsonl          # one row per instance
+data/train-*.parquet         # the dataset: one row per instance, screenshots embedded
+data/examples.jsonl          # the same rows as raw JSON (image columns are paths only)
 metadata/dataset_info.json   # summary statistics
 metadata/validation_report.json
 html/{cards,texts}/          # perturbed HTML
-images/{cards,texts}/{standard,noise}/   # rendered screenshots
+images/{cards,texts}/{standard,noise}/   # the screenshots as loose PNG files
 ```
 
+The Parquet files carry the screenshots inline, so both image columns render
+directly in the dataset viewer and decode to `PIL.Image` with no extra setup.
+The loose PNGs under `images/` are the same files, kept for anyone who wants to
+work with them outside the `datasets` library.
+
 ## Row schema
 
 | Field | Description |
 |---|---|
+| `standard_image` | **Image** — the rendered screenshot |
+| `noise_image` | **Image** — the same page with eight opaque rectangles overlaid |
 | `example_id` | Unique instance id |
 | `source_id` | Seed webpage id (Design2Code) |
 | `pattern_family` | `structural_card` or `text_style` |
 | `pattern_name`, `pattern_description`, `element_description` | The repeated pattern being probed |
-| `attribute_name` | Masked CSS property (`width` or `font-size`) |
+| `attribute_name` | Masked CSS property (`width` or `font_size`) |
 | `attribute_token` | The mask token (`__`) |
 | `position` | Which element was perturbed: `first`, `mid`, `last` |
 | `modified_index` | Index of the perturbed element within the pattern |
@@ -79,21 +134,20 @@ images/{cards,texts}/{standard,noise}/   # rendered screenshots
 | `code_snippet_line` | The masked element's HTML |
 | `code_snippet_context` | Masked element plus its sibling elements (model input) |
 | `html_path` | Relative path to the full perturbed HTML |
-| `standard_image` / `noise_image` | Relative paths to the two screenshot conditions |
+| `standard_image_path` / `noise_image_path` | Relative paths to the two screenshot files |
 
 ## Loading
 
 ```python
-from datasets import load_dataset, Image
+from datasets import load_dataset
 
 ds = load_dataset("knguyennguyen/pattern2code", split="train")
 
-# Attach the images (paths are relative to the repo root)
-ds = ds.cast_column("standard_image", Image())
-ds = ds.cast_column("noise_image", Image())
-
 ex = ds[0]
+ex["standard_image"]        # PIL.Image — already decoded, no cast_column needed
+ex["noise_image"]           # PIL.Image
 print(ex["attribute_name"], ex["target_value"], "vs baseline", ex["bias_value"])
+print(ex["code_snippet_context"])
 ```
 
 ## Evaluation protocol