README.md

---
language:
- en
license: cc-by-4.0
size_categories:
- 10K<n<100K
task_categories:
- image-to-text
pretty_name: Screen2Words
tags:
- screens
- mobile
- phones
dataset_info:
  features:
  - name: screenId
    dtype: int64
  - name: captions
    sequence: string
  - name: file_name
    dtype: string
  - name: app_package_name
    dtype: string
  - name: play_store_name
    dtype: string
  - name: category
    dtype: string
  - name: average_rating
    dtype: float64
  - name: number_of_ratings
    dtype: string
  - name: number_of_downloads
    dtype: string
  - name: file_name_icon
    dtype: string
  - name: file_name_semantic
    dtype: string
  - name: semantic_annotations
    dtype: string
  - name: view_hierarchy
    dtype: string
  - name: image
    dtype: image
  - name: image_icon
    dtype: image
  - name: image_semantic
    dtype: image
  splits:
  - name: train
    num_bytes: 3618314253.896
    num_examples: 15743
  - name: val
    num_bytes: 520496985.148
    num_examples: 2364
  - name: test
    num_bytes: 956009390.03
    num_examples: 4310
  download_size: 2473562659
  dataset_size: 5094820629.073999
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: val
    path: data/val-*
  - split: test
    path: data/test-*
---

# Dataset Card for Dataset Name

Screen2Words is a dataset providing screen summaries (i.e., image captions for mobile screens). 
It uses the RICO image database. 

## Dataset Details

### Dataset Description

- **Curated by:** Google Research, UIUC, Northwestern, University of Toronto
- **Funded by:** Google Research
- **Shared by:** Google Research
- **Language(s) (NLP):** English
- **License:** CC-BY-4.0

### Dataset Sources 

- **Repository:**
  - [google-research-datasets/screen2words](https://github.com/google-research-datasets/screen2words)
  - [RICO raw downloads](http://www.interactionmining.org/rico.html)
- **Paper:**
  - [Screen2Words: Automatic Mobile UI Summarization with Multimodal Learning](https://arxiv.org/abs/2108.03353)
  - [Rico: A Mobile App Dataset for Building Data-Driven Design Applications](https://dl.acm.org/doi/10.1145/3126594.3126651)

## Uses

This dataset is for developing multimodal automations for mobile screens. 

### Direct Use

- Automatic screen summarization & description
- Language-Based UI retreival (given a UI, retreive similar interfaces)
- Enhancing screen readers
- Screen indexing
- Conversational mobile applications 

## Dataset Structure

- `screen_id`: Unique RICO screen ID
- `image`: RICO screenshot
- `image_icon`: Google Play Store icon for the app
- `image_semantic`: Semantic RICO screenshot; details are abstracted away to main visual UI elements
- `file_name`: Image local filename
- `file_name_icon`: Icon image local filename
- `file_name_semantic`: Screenshot Image as a semantic annotated image local filename 
- `captions`: A list of string captions
- `app_package_name`: Android package name
- `play_store_name`: Google Play Store name
- `category`: Type of category of the app
- `number_of_downloads`: Number of downloads of the app (as a coarse range string)
- `number_of_ratings`: Number of ratings of the app on the Google Play store (as of collection)
- `average_rating`: Average rating of the app on the Google Play Store (as of collection)
- `semantic_annotations`: Reduced view hierarchy, to the semantically-relevant portions of the full view hierarchy. It corresponds to what is visualized in `image_semantic` and has a lot of details about what's on screen. It is stored as a JSON object string.
- `view_hierarchy`: Full view-hierarchy

## Dataset Creation

### Curation Rationale

- RICO rationale: Create a broad dataset that can be used for UI automation. An explicit goal was to develop automation software that can validate an app's design and assess whether it achieves its stated goal.
- Screen2Words rationale: Create a dataset that facilities the distillation of screenshots into concise summaries 

### Source Data

- RICO: Mobile app screenshots, collected on Android devices.
- Screen2Words: Human annotated screen summaries from paid contractors. 

#### Data Collection and Processing

- RICO: Human and automated collection of Android screens. ~9.8k free apps from the Google Play Store. 
- Screen2Words: Takes the subset of screens used in RICO-SCA, which eliminates screens with missing or inaccurate view hierarchies. 

#### Who are the source data producers?

- RICO: 13 human workers (10 from the US, 3 from the Philippines) through UpWork. 
- Screen2Words: 85 professional annotators 

## Citation

### RICO 

**BibTeX:**

```misc
@inproceedings{deka2017rico,
  title={Rico: A mobile app dataset for building data-driven design applications},
  author={Deka, Biplab and Huang, Zifeng and Franzen, Chad and Hibschman, Joshua and Afergan, Daniel and Li, Yang and Nichols, Jeffrey and Kumar, Ranjitha},
  booktitle={Proceedings of the 30th annual ACM symposium on user interface software and technology},
  pages={845--854},
  year={2017}
}
```

**APA:**

Deka, B., Huang, Z., Franzen, C., Hibschman, J., Afergan, D., Li, Y., ... & Kumar, R. (2017, October). Rico: A mobile app dataset for building data-driven design applications. In Proceedings of the 30th annual ACM symposium on user interface software and technology (pp. 845-854).

### Screen2Words

**BibTeX:**

```misc
@inproceedings{wang2021screen2words,
  title={Screen2words: Automatic mobile UI summarization with multimodal learning},
  author={Wang, Bryan and Li, Gang and Zhou, Xin and Chen, Zhourong and Grossman, Tovi and Li, Yang},
  booktitle={The 34th Annual ACM Symposium on User Interface Software and Technology},
  pages={498--510},
  year={2021}
}
```

**APA:**

Wang, B., Li, G., Zhou, X., Chen, Z., Grossman, T., & Li, Y. (2021, October). Screen2words: Automatic mobile UI summarization with multimodal learning. In The 34th Annual ACM Symposium on User Interface Software and Technology (pp. 498-510).

## Dataset Card Authors

Hunter Heidenreich

## Dataset Card Contact

hunter "DOT" heidenreich "AT" rootsautomation "DOT" com