English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

Understanding and reasoning about cooking recipes is a fruitful researchdirection towards enabling machines to interpret procedural text. In this work,we introduce RecipeQA, a dataset for multimodal comprehension of cookingrecipes. It comprises of approximately 20K instructional recipes with multiplemodalities such as titles, descriptions and aligned set of images. With over36K automatically generated question-answer pairs, we design a set ofcomprehension and reasoning tasks that require joint understanding of imagesand text, capturing the temporal flow of events and making sense of proceduralknowledge. Our preliminary results indicate that RecipeQA will serve as achallenging test bed and an ideal benchmark for evaluating machinecomprehension systems. The data and leaderboard are available athttp://hucvl.github.io/recipeqa.

RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes