
This dataset is derived from the RICO SCA presented by Google Research in the seq2act paper. This is a synthetically generated dataset for UI RefExp task.
See original repo for details and licensing info:
https://github.com/google-research/google-research/blob/master/seq2act/data_generation/README.md#generate-ricosca-dataset

The splits in this dataset are consistent with the splits in the crowdsourced [UIBert RefExp](https://huggingface.co/datasets/ivelin/ui_refexp_saved) dataset. Training split examples do not include images from the Validation or Test examples in the UI Bert RefExp dataset. Respectively the images in Validation and Test splits here match the images in the Validation and Test splits of UIBert RefExp.

task_categories:question-answering size_categories:10K<n<100K language:en license:apache-2.0 region:us
{"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering"], "pretty_name": "RICO SCA RefExp", "dataset_info": [{"config_name": "rico_sca_refexp", "features": [{"name": "image", "dtype": "image"}, {"name": "image_id", "dtype": "string"}, {"name": "labels", "list": [{"name": "prompt", "dtype": "string"}, {"name": "target_bounding_box", "struct": [{"name": "xmin", "dtype": "float32"}, {"name": "ymin", "dtype": "float32"}, {"name": "xmax", "dtype": "float32"}, {"name": "ymax", "dtype": "float32"}]}]}], "splits": [{"name": "train", "num_bytes": 2605508469, "num_examples": 24063}, {"name": "validation", "num_bytes": 21192787, "num_examples": 160}, {"name": "test", "num_bytes": 22057836, "num_examples": 185}], "download_size": 6514703641, "dataset_size": 2605508469}]}
TAGS
#task_categories-question-answering #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us 


This dataset is derived from the RICO SCA presented by Google Research in the seq2act paper. This is a synthetically generated dataset for UI RefExp task.
See original repo for details and licensing info:
URL

The splits in this dataset are consistent with the splits in the crowdsourced UIBert RefExp dataset. Training split examples do not include images from the Validation or Test examples in the UI Bert RefExp dataset. Respectively the images in Validation and Test splits here match the images in the Validation and Test splits of UIBert RefExp.

TAGS
#task_categories-question-answering #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us 

passage: TAGS
#task_categories-question-answering #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us 
