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---
license: cc0-1.0
size_categories:
- 1K<n<10K
source_datasets:
- biglab/webui-7k
- original
multilinguality:
- multilingual
task_categories:
- image-feature-extraction
- reinforcement-learning
pretty_name: WebUI DOM snapshots
dataset_info:
features:
- name: image
dtype: image
- name: requested_url
dtype: string
- name: displayed_url
dtype: string
- name: num_frames
dtype: int64
- name: body_elements
sequence: string
- name: dom_snapshot
struct:
- name: documents
list:
- name: documentURL
dtype: int64
- name: title
dtype: int64
- name: baseURL
dtype: int64
- name: contentLanguage
dtype: int64
- name: encodingName
dtype: int64
- name: publicId
dtype: int64
- name: systemId
dtype: int64
- name: frameId
dtype: int64
- name: nodes
struct:
- name: parentIndex
sequence: int64
- name: nodeType
sequence: int64
- name: shadowRootType
struct:
- name: index
sequence: int64
- name: value
sequence: int64
- name: nodeName
sequence: int64
- name: nodeValue
sequence: int64
- name: backendNodeId
sequence: int64
- name: attributes
sequence:
sequence: int64
- name: textValue
struct:
- name: index
sequence: int64
- name: value
sequence: int64
- name: inputValue
struct:
- name: index
sequence: int64
- name: value
sequence: int64
- name: inputChecked
struct:
- name: index
sequence: int64
- name: optionSelected
struct:
- name: index
sequence: int64
- name: contentDocumentIndex
struct:
- name: index
sequence: int64
- name: value
sequence: int64
- name: pseudoType
struct:
- name: index
sequence: int64
- name: value
sequence: int64
- name: pseudoIdentifier
struct:
- name: index
sequence: 'null'
- name: value
sequence: 'null'
- name: isClickable
struct:
- name: index
sequence: int64
- name: currentSourceURL
struct:
- name: index
sequence: int64
- name: value
sequence: int64
- name: originURL
struct:
- name: index
sequence: 'null'
- name: value
sequence: 'null'
- name: layout
struct:
- name: nodeIndex
sequence: int64
- name: styles
sequence:
sequence: int64
- name: bounds
sequence:
sequence: float64
- name: text
sequence: int64
- name: stackingContexts
struct:
- name: index
sequence: int64
- name: paintOrders
sequence: int64
- name: textBoxes
struct:
- name: layoutIndex
sequence: int64
- name: bounds
sequence:
sequence: float64
- name: start
sequence: int64
- name: length
sequence: int64
- name: scrollOffsetX
dtype: int64
- name: scrollOffsetY
dtype: int64
- name: contentWidth
dtype: int64
- name: contentHeight
dtype: int64
- name: strings
sequence: string
- name: capture_options
struct:
- name: computedStyles
sequence: string
- name: includePaintOrder
dtype: bool
- name: source_index
dtype: int64
- name: source_key_name
dtype: string
- name: source_image_ssim
dtype: float64
- name: detected_language
dtype: string
splits:
- name: train
num_bytes: 2707342861
num_examples: 4536
download_size: 1972567064
dataset_size: 2707342861
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
language:
- en # 3953 examples
- nl # 79
- fr # 78
- zh # 61
- ja # 57
- de # 42
- id # 26
- cs # 25
- ru # 21
- pt # 18
- fi # 16
- sv # 16
- no # 15
- pl # 15
- da # 12
- sl # 12
- hu # 7
- vi # 7
- is # 5
- ko # 5
- th # 4
- tr # 4
- ar # 3
- bg # 3
- el # 3
- uk # 3
- es # 2
- et # 2
- gd # 2
- ne # 2
- sk # 2
- af # 1
- bn # 1
- gl # 1
- hi # 1
- it # 1
- lt # 1
- lv # 1
- ml # 1
- sr # 1
- to # 1
---
# Dataset Card for WebUI DOM snapshots
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [Gary Benson](https://gbenson.net/)
<!-- **Funded by [optional]:** [More Information Needed]
**Shared by [optional]:** [More Information Needed] -->
- **Languages:** Mostly English (87%); Dutch (2%), French (2%), Chinese (1%), Japanese (1%); 30+ others (<1% each)
- **License:** [CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/)
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
<!--
There are no splits in this dataset. It is given as is.
There are no recommended data splits. The authors use all books in the dataset for unsupervised training, with no splits or subsamples.
-->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
87% of the examples are English.
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Dataset Card Authors [optional]
[More Information Needed]
## Dataset Card Contact
[More Information Needed] |