141 a 150 de 836 Resultados
Texto plano - 9,9 KB -
MD5: b3f1cbf155012d8e3d5dc8c370546b03
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10 may 2024 -
Programas de ordenador del libro "Mecánica Analítica, Lagrangiana, Hamiltoniana y Sistemas Dinámicos"
Texto plano - 6,5 KB -
MD5: 81bdcf571f5f41e4ca17e824738c9f3d
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10 may 2024 -
Programas de ordenador del libro "Mecánica Analítica, Lagrangiana, Hamiltoniana y Sistemas Dinámicos"
Archivo ZIP - 26,0 KB -
MD5: 24f164aa4ccd852f8270e7a45478873a
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28 feb 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. |
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
Datos tabulares - 36,2 MB
A CSV file containing the actual dialogues generated by the ChatGPT model. Each dialogue entry consists of conversational turns between the expert and user agents.
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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... |