Update README.md

README.md

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 ---
 license: cc-by-4.0
-dataset_info:
-  features:
-  - name: screen_id
-    dtype: string
-  - name: screen_annotation
-    dtype: string
-  - name: file_name
-    dtype: string
-  - name: image
-    dtype: image
-  splits:
-  - name: train
-    num_bytes: 1683942681.288
-    num_examples: 15548
-  - name: valid
-    num_bytes: 240110622.938
-    num_examples: 2311
-  - name: test
-    num_bytes: 452042111.53
-    num_examples: 4217
-  download_size: 1880354960
-  dataset_size: 2376095415.756
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: valid
-    path: data/valid-*
-  - split: test
-    path: data/test-*
+task_categories:
+- image-to-text
+language:
+- en
+tags:
+- screens
+pretty_name: RICO Screen Annotations
+size_categories:
+- 10K<n<100K
 ---
+# Dataset Card for RICO Screen Annotations
+
+This is a standardization of Google's Screen Annotation dataset on a subset of RICO screens, as described in their ScreenAI paper.
+Unlike the original, this version transforms integer-based bounding boxes into floating-point-based bounding boxes of 2 decimal precision. 
+
+## Dataset Details
+
+### Dataset Description
+
+This is an image-to-text annotation format first proscribed in Google's ScreenAI paper. 
+The idea is to standardize an expected text output that is reasonable for the model to follow,
+and fuses together things like element detection, referring expression generation/recognition, and element classification. 
+
+- **Curated by:** Google Research
+- **Language(s) (NLP):** English
+- **License:** CC-BY-4.0
+
+### Dataset Sources
+
+- **Repository:** [google-research/screen_annotation](https://github.com/google-research-datasets/screen_annotation/tree/main)
+- **Paper [optional]:** [ScreenAI](https://arxiv.org/abs/2402.04615)
+
+## Uses
+
+### Direct Use
+
+Pre-training of multimodal models to better understand screens. 
+
+
+## Dataset Structure
+
+- `screen_id`: Screen ID in the RICO dataset
+- `screen_annotation`: Target output string
+- `image`: The RICO screenshot
+
+## Dataset Creation
+
+### Curation Rationale
+
+> The Screen Annotation dataset consists of pairs of mobile screenshots and their annotations. The mobile screenshots are directly taken from the publicly available Rico dataset. The annotations are in text format, and contain information on the UI elements present on the screen: their type, their location, the text they contain or a short description. This dataset has been introduced in the paper ScreenAI: A Vision-Language Model for UI and Infographics Understanding and can be used to improve the screen understanding capabilities of multimodal (image+text) models.
+
+## Citation
+
+**BibTeX:**
+
+```
+@misc{baechler2024screenai,
+      title={ScreenAI: A Vision-Language Model for UI and Infographics Understanding},
+      author={Gilles Baechler and Srinivas Sunkara and Maria Wang and Fedir Zubach and Hassan Mansoor and Vincent Etter and Victor Cărbune and Jason Lin and Jindong Chen and Abhanshu Sharma},
+      year={2024},
+      eprint={2402.04615},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV}
+}
+```
+
+## Dataset Card Authors
+
+Hunter Heidenreich, Roots Automation
+
+## Dataset Card Contact
+
+hunter "dot" heidenreich AT rootsautomation `DOT` com