Datasets:
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README.md
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<!-- Provide a quick summary of the dataset. -->
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The Paper2Video benchmark includes 101 curated paper–video pairs spanning diverse research topics. Each paper averages about 13.3K words, 44.7 figures, and 28.7 pages, providing rich multimodal long-document inputs. Presentations contain on average 16 slides and run for about 6 minutes 15 seconds, with some reaching up to 14 minutes. Rather than focusing only on video generation, Bench is designed to evaluate long-horizon agentic tasks that require integrating text, figures, slides, and spoken presentations.
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- **Repository:**
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- **Paper [optional]:**
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- **Page [optional]:**
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## Dataset Description
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This repository contains two main components:
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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[More Information Needed]
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<!-- Provide a quick summary of the dataset. -->
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- **Repository:**
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- **Paper [optional]:**
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- **Page [optional]:**
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## Dataset Description
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The Paper2Video Benchmark includes 101 curated paper–video pairs spanning diverse research topics. Each paper averages about 13.3K words, 44.7 figures, and 28.7 pages, providing rich multimodal long-document inputs. Presentations contain on average 16 slides and run for about 6 minutes 15 seconds, with some reaching up to 14 minutes. Rather than focusing only on video generation, Bench is designed to evaluate long-horizon agentic tasks that require integrating text, figures, slides, and spoken presentations.
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## Dataset Structure
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This repository contains two main components:
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- **Excel file with metadata and presentation links**
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Each entry includes:
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- **paper**: the title of the paper
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- **paper_link**: the URL of the paper (e.g., PDF or LaTeX source)
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- **presentation_link**: the URL of the author-recorded presentation video (some entries also include original slides)
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- **conference**: the conference where the paper was published
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- **year**: the publication year of the paper
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- **Author identity file**
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This file contains author information, including voice samples and images, which can be used for tasks such as personalized talk synthesis or avatar generation.
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Each folder includes:
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- **ref_img.png**: the identity image of the author
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- **ref_audio.wav**: the identity voice sample of the author
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## Citation
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**BibTeX:**
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