Google Research Datasets
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- artydiqa Public
ArTyDi-QA is a dataset for Question Answering (QA) and Question Generation (QG) in Modern Standard Arabic (MSA), adapted from TyDiQA. It features extractive QA where models find answer spans or identify unanswerable questions, and a QG task involving formulating questions from context and answer pairs.
google-research-datasets/artydiqa’s past year of commit activity - Amplify_SSA Public
An annotated dataset of 8,091 adversarial queries in seven Sub-Saharan African languages.
google-research-datasets/Amplify_SSA’s past year of commit activity - screen_qa Public
ScreenQA dataset was introduced in the "ScreenQA: Large-Scale Question-Answer Pairs over Mobile App Screenshots" paper. It contains ~86K question-answer pairs collected by human annotators for ~35K screenshots from Rico. It should be used to train and evaluate models capable of screen content understanding via question answering.
google-research-datasets/screen_qa’s past year of commit activity - adversarial-nibbler Public
This dataset contains results from all rounds of Adversarial Nibbler. This data includes adversarial prompts fed into public generative text2image models and validations for unsafe images. There will be two sets of data: all prompts submitted and all prompts attempted (sent to t2i models but not submitted as unsafe).
google-research-datasets/adversarial-nibbler’s past year of commit activity - hiertext Public
The HierText dataset contains ~12k images from the Open Images dataset v6 with large amount of text entities. We provide word, line and paragraph level annotations.
google-research-datasets/hiertext’s past year of commit activity - scin Public
The SCIN dataset contains 10,000+ images of dermatology conditions, crowdsourced with informed consent from US internet users. Contributions include self-reported demographic and symptom information and dermatologist labels. The dataset also contains estimated Fitzpatrick skin type and Monk Skin Tone.
google-research-datasets/scin’s past year of commit activity
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