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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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WONDERBREAD: A Benchmark + Dataset for Business Process Management (BPM) Tasks

Authors: Wornow, Michael;

WONDERBREAD: A Benchmark + Dataset for Business Process Management (BPM) Tasks

Abstract

Paper: WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management Tasks Background The WONDERBREAD dataset contains 2,928 human demonstrations of 598 web navigation workflows across 6 types of BPM tasks. These tasks measure the ability of a model to generate accurate documentation, assist in knowledge transfer, and improve the efficiency of workflows. Please see our website for more details: https://wonderbread.stanford.edu/ Quick Start To start, download debug_demos.zip (1 GB). It contains a subset of 24 demonstrations which can give you a sense of how the dataset is structured. To reproduce the paper, download gold_demos.zip (33 GB). It contains 724 demonstrations corresponding to the 162 "Gold" tasks which were used for all the evaluations in the original paper. To obtain the full dataset, download demos.zip (133 GB). This contains all 2,928 demonstrations and can be used for training, fine-tuning, and evaluating models. Dataset Structure The dataset contains several files, defined below. Raw Data (useful for training/fine-tuning/evaluation) debug_demos.zip (1 GB) -- a subset of only 24 demonstrations taken from the full dataset. Useful to get a sense of the dataset and for debugging. gold_demos.zip (22 GB) -- a subset of only 724 demonstrations corresopnding to the 162 "Gold" tasks. This is the dataset that was used for all evaluations in the original WONDERBREAD paper. demos.zip (133 GB) -- all 2,928 demonstrations across 598 tasks. Useful for training your own models. Modality-Specific Subsets of Raw Data (useful for specific types of training/fine-tuning/evaluation) All Demos demos_sop_only.zip (4 MB)-- only the SOP .txt files for all 2,928 demonstrations demos_sop_and_trace_only.zip (770 MB)-- only the SOP .txt files and action trace .json files for all 2,928 demonstrations demos_sop_and_trace_and_screenshots_only.zip (22 GB)-- only the SOP .txt files and action trace .json files and screenshot images for all 2,928 demonstrations "Gold" Demos gold_demos_sop_only.zip (1 MB)-- only the SOP .txt files for the 724 demonstrations in the "Gold" tasks. gold_demos_sop_and_trace_only.zip (190 MB) -- only the SOP .txt files and action trace .json files for the 724 demonstrations in the "Gold" tasks. gold_demos_sop_and_trace_and_screenshots_only.zip (6 GB) -- only the SOP .txt files and action trace .json files and screenshot images for the 724 demonstrations in the "Gold" tasks Evaluation (useful for evaluation) qa_dataset.csv -- contains all 120 questions and ground truth answers used in the "Knowlege Transfer" evaluation. df_rankings.csv -- contains the rankings of all "Gold" tasks used in the "SOP Ranking" evaluation. Metadata (can be safely ignored) Process Mining Task Demonstrations.xlsx -- maps human annotators to specific demonstrations; also contains "Gold" task rankings used in the "SOP Ranking" evaluation. metadata.json -- maps Google Drive URLs to Google Drive Folder IDs to demonstration names df_valid.csv -- tracks assets associated with each demonstration

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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