921 a 930 de 1.137 Resultados
Valores separados por comas - 2,6 KB -
MD5: 35b9b7c5f3d72eabaa94722684d789fa
Microsoft Excel, Version 16.66.1 (22101101) was used to collect data from PROLEC-SE-R and PROLEXIA.This Excel file was saved as PROLEC-SE-R and PROLEXIA data in .csv format. |
12 mar 2024 -
Temperature By Municipality in Spain
Binario Stata 14 - 223,6 MB -
MD5: f650972932d41ae5c9249094215f540c
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28 feb 2024 -
Effort Project
Valores separados por comas - 2,0 MB -
MD5: 48a1a6484297d69ac9d24753fb1e94e0
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28 feb 2024 -
Effort Project
Binario Stata 14 - 1,6 MB -
MD5: a317c0e0bef5f375d39772714c513376
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28 feb 2024 -
Effort Project
Valores separados por comas - 226,0 KB -
MD5: 76d6e7315ab7ee88039e739c0eb3c0eb
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28 feb 2024 -
Effort Project
Binario Stata 14 - 376,0 KB -
MD5: 5159ab0ce9a997294021d1feba76a524
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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
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... |
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... |
20 feb 2024 -
Geometries-DTP
Animación Co-Ordinate - 7,6 KB -
MD5: e1a2c1805c46b3903c9db8703f8a9131
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