Encuesta satisfacción e-cienciaDatos
e-cienciaDatos es el repositorio de datos de investigación de las universidades del Consorcio Madroño. Es miembro de Harvard Dataverse Network, aceptado por las principales editoriales científicas y cumple los requisitos del H2020.
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1.011 a 1.020 de 1.321 Resultados
28 feb. 2024 -
Art-GenEvalGPT
MS Word - 21,9 KB -
MD5: 6d6f05a1e9ba0d4b0e41518e43bdb892
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28 feb. 2024 -
Art-GenEvalGPT
Datos tabulares - 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... |
28 feb. 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. T... |
28 feb. 2024 -
Art-GenEvalGPT
Datos tabulares - 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. |
28 feb. 2024 -
Art-GenEvalGPT
Texto plano - 12,8 KB -
MD5: 9dc97262797939ee32d5bf82a6af4ea8
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28 feb. 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 thre... |
27 feb. 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... |
27 feb. 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 |
27 feb. 2024 -
Multiple polaron quasiparticles with dipolar fermions in a bilayer geometry (dataset)
Texto plano - 6,1 KB -
MD5: 70fc6541f6cd071a624b82e271034a84
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26 feb. 2024 -
SLIMBRAIN Database: A Multimodal Image Database of In-vivo Human Brains for Tumor Detection.
Archivo 7Z - 1,1 GB -
MD5: a386ccdb1a0538617b70dfee18457e76
This 7z file is encrypted and password protected. To request the password and decrypt the file, use the "Contact the owner" option, which appears in the upper right part of the interface. The file can be decrypted using 7-Zip, which should prompt you for the password. After doing... |
