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RecipeQA

Introduced by Semih Yagcioglu et al. in RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes4 Sep 2018 archive 2025-07-28

RecipeQA is a dataset for multimodal comprehension of cooking recipes. It consists of over 36K question-answer pairs automatically generated from approximately 20K unique recipes with step-by-step instructions and images. Each question in RecipeQA involves multiple modalities such as titles, descriptions or images, and working towards an answer requires (i) joint understanding of images and text, (ii) capturing the temporal flow of events, and (iii) making sense of procedural knowledge.

Source: RecipeQA

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Question Answering RecipeQA multimodal+LXMERT+ConstrainedMaxPooling Accuracy 0.475 Latent Alignment of Procedural Concepts in Multimodal Recipes HLR/LatentAlignmentProcedural 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 24. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Latent Alignment of Procedural Concepts in Multimodal Recipes 1 1 12 Jan 2021 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Custom

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • RecipeQA

1 variant name, as the archive lists them.

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