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Publication Year: 2024

1,541 to 1,550 of 1,851 Results

filename_codes.json Feb 28, 2024 - Art-GenEvalGPT JSON - 152,2 KB - MD5: 72cfc7ed2cc6717158cf57e4136b6e59 Contains a structured taxonomy with codes for identifying the different elements of the dataset. It includes codes for profiles, such as painting, expert, and user profiles. Additionally, it contains codes for various attributes such as emotions, toxicity and biases.
Meta CCv2.rtf Feb 28, 2024 - Art-GenEvalGPT MS Word - 21,9 KB - MD5: 6d6f05a1e9ba0d4b0e41518e43bdb892
Metadata.tab Feb 28, 2024 - Art-GenEvalGPT Tabular Data - 11,5 MB Comma-separated values (CSV) file containing detailed information about each dialogue in the dataset. It includes data such as the author and style of the artwork, emotions, goals, roles, toxicity, and anthropology. This files server as a comprehensive reference for understanding the context and characteristics of each dialogue within the dataset
Metrics.csv Feb 28, 2024 - Art-GenEvalGPT Valores separados por comas - 43,9 MB - MD5: bd704adf31791f8acb0d356517aaaefa A CSV file providing a summary of evaluation metrics obtained to assess the quality and characteristics of the generated dialogues. It includes dialogue-level metrics, toxicity level and categories, syntactic and semantic-based objective metrics, and sentiment analysis results. This file aids in evaluating the performance of the AI chatbot and iden...
Prompts.tab Feb 28, 2024 - Art-GenEvalGPT Tabular Data - 16,8 MB A CSV file that stores the prompts used in generating the dialogues by the ChatGPT model. These prompts provide instructions and guidelines for initiating conversations between the expert and user within the context of discussing artworks in a museum setting.
readme.txt Feb 28, 2024 - Art-GenEvalGPT Texto plano - 12,8 KB - MD5: 9dc97262797939ee32d5bf82a6af4ea8
toxic.csv Feb 28, 2024 - Art-GenEvalGPT Valores separados por comas - 2,4 MB - MD5: 0855f558bab99f6fdac2e43889e8655e A CSV file that contains information about toxicity levels observed within the generated dialogues. It comprises boolean columns, one representing whether the dialogue should be toxic within the prompt, other whether toxicity detection using the Detoxify library with a toxic threshold of 0.4 has identified toxic content within the dialogue, other w...
Multiple polaron quasiparticles with dipolar fermions in a bilayer geometry (dataset) Feb 27, 2024 - Universidad Autónoma de Madrid Tiene, Antonio; Tamargo Bracho, Andrés; Parish, Meera M.; Levinsen, Jesper; Marchetti, Francesca Maria, 2024, "Multiple polaron quasiparticles with dipolar fermions in a bilayer geometry (dataset)", https://doi.org/10.21950/UTHVWP, e-cienciaDatos, V1 This dataset contains the folders including gnuplot scripts and datafile to reproduce all the pictures in the published paper. 2DEnLight The ‘quantum age’ of the 21st century has proven to have a tremendous power to revolutionize not only our science but also many sectors of our economy, industry and everyday-life. Its full potential to shape the f...
dataset.zip Feb 27, 2024 - Multiple polaron quasiparticles with dipolar fermions in a bilayer geometry (dataset) Archivo ZIP - 11,3 MB - MD5: 38d666d9ad10066de13dc8ff68571e3b Folders including gnuplot scripts and datafile to reproduce all the pictures in the paper
readme.txt Feb 27, 2024 - Multiple polaron quasiparticles with dipolar fermions in a bilayer geometry (dataset) Texto plano - 6,1 KB - MD5: 70fc6541f6cd071a624b82e271034a84 DocumentaciónDocumentation

filename_codes.json

Feb 28, 2024 - Art-GenEvalGPT

JSON - 152,2 KB -

Contains a structured taxonomy with codes for identifying the different elements of the dataset. It includes codes for profiles, such as painting, expert, and user profiles. Additionally, it contains codes for various attributes such as emotions, toxicity and biases.

Meta CCv2.rtf

Feb 28, 2024 - Art-GenEvalGPT

MS Word - 21,9 KB -

Metadata.tab

Feb 28, 2024 - Art-GenEvalGPT

Tabular Data - 11,5 MB

Comma-separated values (CSV) file containing detailed information about each dialogue in the dataset. It includes data such as the author and style of the artwork, emotions, goals, roles, toxicity, and anthropology. This files server as a comprehensive reference for understanding the context and characteristics of each dialogue within the dataset

Metrics.csv

Feb 28, 2024 - Art-GenEvalGPT

Valores separados por comas - 43,9 MB -

A CSV file providing a summary of evaluation metrics obtained to assess the quality and characteristics of the generated dialogues. It includes dialogue-level metrics, toxicity level and categories, syntactic and semantic-based objective metrics, and sentiment analysis results. This file aids in evaluating the performance of the AI chatbot and iden...

Prompts.tab

Feb 28, 2024 - Art-GenEvalGPT

Tabular Data - 16,8 MB

A CSV file that stores the prompts used in generating the dialogues by the ChatGPT model. These prompts provide instructions and guidelines for initiating conversations between the expert and user within the context of discussing artworks in a museum setting.

readme.txt

Feb 28, 2024 - Art-GenEvalGPT

Texto plano - 12,8 KB -

toxic.csv

Feb 28, 2024 - Art-GenEvalGPT

Valores separados por comas - 2,4 MB -

A CSV file that contains information about toxicity levels observed within the generated dialogues. It comprises boolean columns, one representing whether the dialogue should be toxic within the prompt, other whether toxicity detection using the Detoxify library with a toxic threshold of 0.4 has identified toxic content within the dialogue, other w...

Multiple polaron quasiparticles with dipolar fermions in a bilayer geometry (dataset)

Feb 27, 2024 - Universidad Autónoma de Madrid

Tiene, Antonio; Tamargo Bracho, Andrés; Parish, Meera M.; Levinsen, Jesper; Marchetti, Francesca Maria, 2024, "Multiple polaron quasiparticles with dipolar fermions in a bilayer geometry (dataset)", https://doi.org/10.21950/UTHVWP, e-cienciaDatos, V1

This dataset contains the folders including gnuplot scripts and datafile to reproduce all the pictures in the published paper. 2DEnLight The ‘quantum age’ of the 21st century has proven to have a tremendous power to revolutionize not only our science but also many sectors of our economy, industry and everyday-life. Its full potential to shape the f...

dataset.zip

Feb 27, 2024 - Multiple polaron quasiparticles with dipolar fermions in a bilayer geometry (dataset)

Archivo ZIP - 11,3 MB -

Folders including gnuplot scripts and datafile to reproduce all the pictures in the paper

readme.txt

Feb 27, 2024 - Multiple polaron quasiparticles with dipolar fermions in a bilayer geometry (dataset)

Texto plano - 6,1 KB -

DocumentaciónDocumentation

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