Add README with dataset generation details

README.md

@@ -1,41 +1,82 @@
----
-dataset_info:
-  features:
-  - name: image_path
-    dtype: string
-  - name: prompt
-    dtype: string
-  - name: normalized_bbox
-    sequence: float64
-  - name: images
-    sequence: image
-  - name: easyr1_prompt
-    dtype: string
-  - name: bbox
-    sequence: int64
-  - name: messages
-    list:
-    - name: content
-      dtype: string
-    - name: role
-      dtype: string
-  - name: original_image_width
-    dtype: int64
-  - name: image_width
-    dtype: int64
-  - name: image_height
-    dtype: int64
-  - name: annotated_images
-    sequence: image
-  splits:
-  - name: train
-    num_bytes: 219661361.0
-    num_examples: 230
-  download_size: 190017455
-  dataset_size: 219661361.0
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
----
+# easyr1-v2-pro-apps-manually-labeled-icon-data-from-yt-4MP
+
+This dataset was generated using the EasyR1 grounding dataset pipeline.
+
+## Generation Details
+
+- **Generated on**: 2025-09-06 00:30:03 UTC
+- **Script**: `push_easyr1_to_hf.py`
+- **Data directory**: `datasets`
+
+## Parameters Used
+
+- **Maximum samples**: 2000
+- **Image resize (max megapixels)**: 4.0 MP
+- **Minimum native image resolution**: 0.0 MP
+- **Prompt format**: `gta1`
+- **Output format**: `coordinates`
+- **Random seed**: 42
+- **Resampling enabled**: False
+- **Icon upsampling ratio**: Disabled (random sampling)
+- **pc-agent-e deduplication**: False
+- **Debug images enabled**: True (annotated images with red bounding boxes included)
+
+## Dataset Groups
+
+The following JSON/JSONL files were used to create this dataset:
+
+
+### Dataset Group 1
+- datasets/grounding_annotations.json
+
+## Dataset Statistics
+
+- **Total training samples**: 230
+- **Image dimensions**: Variable
+- **Columns**: image_path, prompt, normalized_bbox, images, easyr1_prompt, bbox, messages, original_image_width, image_width, image_height, annotated_images
+
+## System Prompt
+
+The following system prompt is used for this dataset:
+
+```
+You are an expert UI element locator. Given a GUI image and a user's element description, provide the coordinates of the specified element as a single (x,y) point. For elements with area, return the center point.
+
+Output the coordinate pair exactly:
+(x,y)
+```
+
+## Sample Entry
+
+
+- **User prompt**: <image>open terminal
+- **Assistant response**: (216,670)
+- **Bounding box**: [189, 664, 243, 676]
+- **Image path**: images/Android App Development Tutorial 15： OnClickListener_scene0012_t000211.750.jpg
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("mlfoundations-cua-dev/easyr1-v2-pro-apps-manually-labeled-icon-data-from-yt-4MP")
+
+# Access the training data
+train_data = dataset['train']
+
+# Example: Get the first sample
+sample = train_data[0]
+images = sample['images']
+messages = sample['messages']
+bbox = sample['bbox']
+annotated_images = sample['annotated_images']  # Available when debug images are enabled```
+
+## Prompt Formats
+
+### gta1
+
+Standard GTA1 format without resolution information. Outputs coordinates in (x,y) format.
+
+## License
+
+Please refer to the original dataset licenses for usage restrictions.