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Dataset Card for cvpr2024_papers
This is a FiftyOne dataset with 2379 samples.
The dataset consists of images of the first page for accepted papers to CVPR 2024, plus their abstract and other metadata.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'split', 'max_samples', etc
dataset = fouh.load_from_hub("Voxel51/CVPR_2024_Papers")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details
This is a dataset of the accepted papers for CVPR 2024.
The 2024 Conference on Computer Vision and Pattern Recognition (CVPR) received 11,532 valid paper submissions, and only 2,719 were accepted, for an overall acceptance rate of about 23.6%.
However, this dataset only has 2,379 papers. This is because its how many we were able to (easily) find papers for.
Uses
You can use this dataset to learn about the trends in research at this year's CVPR, and so much more!
Dataset Structure
The dataset consists of the following:
- An image of the first page of the paper
title
: The title of the paperauthors_list
: The list of authorsabstract
: The abstract of the paperarxiv_link
: Link to the paper on arXivother_link
: Link to the project page, if foundcategory_name
: The primary category this paper according to arXiv taxonomyall_categories
: All categories this paper falls into, according to arXiv taxonomykeywords
: Extracted using GPT-4o
Dataset Creation
Generic code for building this dataset can be found here.
This dataset was built using the following steps:
- Scrape the CVPR 2024 website for accepted papers
- Use DuckDuckGo to search for a link to the paper's abstract on arXiv
- Use arXiv.py (python wrapper for the arXiv API) to extract the abstract, categories, and download the pdf for each paper
- Use pdf2image to save image of papers first page
- Use GPT-4o to extract keywords from abstract
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