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README.md

@@ -34,6 +34,17 @@ Each row is a single (instruction, UI element) pair with normalized bounding-box
 | validation | ~10% scenarios | Domain holdout |
 | test | ~15% scenarios | Domain holdout |
 
+## Repository Layout
+
+The dataset repo contains both row-level parquet artifacts and image files:
+
+- `flat.parquet` — full flattened table (all rows)
+- `splits/train.parquet` — train split
+- `splits/val.parquet` — validation split
+- `splits/test.parquet` — test split
+- `splits/splits.json` — split metadata
+- `images/...` — screenshot and UI metadata files
+
 ## Images
 
 Screenshot images are hosted in the `images/` directory of this repository.
@@ -53,12 +64,30 @@ img = Image.open(path)
 
 ## Usage
 
+Load train split via `datasets`:
+
 ```python
 from datasets import load_dataset
+
 ds = load_dataset("e1879/showui-web-processed")
 print(ds["train"][0]["instruction"])
 ```
 
+Or load parquet artifacts directly from the dataset repo:
+
+```python
+import pandas as pd
+from huggingface_hub import hf_hub_download
+
+train_path = hf_hub_download(
+    repo_id="e1879/showui-web-processed",
+    repo_type="dataset",
+    filename="splits/train.parquet",
+)
+train_df = pd.read_parquet(train_path)
+print(train_df.shape)
+```
+
 ## Credit
 
 Source dataset: [showlab/ShowUI-web](https://huggingface.co/datasets/showlab/ShowUI-web)