581 to 590 of 3,825 Results
MS Excel Spreadsheet - 98.4 KB -
MD5: c0f6a3fdd4596ca4c5baf59efc51fc4d
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MS Excel Spreadsheet - 46.1 KB -
MD5: 0b24ae8de2b4c766f4f66baa0428a629
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MS Excel Spreadsheet - 41.5 KB -
MD5: 724155589d32b9b1b84accf3f65339bd
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Tabular Data - 190 B - 10 Variables, 19 Observations - UNF:6:rbT/Ojyy+N+Vi2c9h9T0qg==
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MS Excel Spreadsheet - 107.6 KB -
MD5: c4dab745fbbd6754f5423bebf1b92f58
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MS Excel Spreadsheet - 38.2 KB -
MD5: 89d989cb69b41609ac5a1a93c4e1a57c
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Jan 21, 2026
Barbosa, Jonatas de Santana; Callejas, Nicolás; Silva, Thaís Jordânia; Cunha, Rosiane Lopes da; Ribeiro, Ana Paula Badan, 2026, "Dataset obtained from oleogels structured with ternary mixtures of waxes", https://doi.org/10.25824/redu/QW4LWO, Repositório de Dados de Pesquisa da Unicamp, V2
Data obtained from the characterization of oleogels structured with ternary mixtures of beeswax, rice bran wax and sunflower wax. The oleogels were characterized based on their oxidative stability, crystallization, mechanical, and thermal properties. |
Compressed Archive - 17.2 MB -
MD5: d3a39e61a1dd40b9e86785f5c2333220
Contains all the experimental data for this dataset |
Jan 21, 2026
Collado, Fabio Akahoshi; Wainer, Jacques, 2026, "Código fonte para fine tuning de LLMs", https://doi.org/10.25824/redu/Q6Y5UY, Repositório de Dados de Pesquisa da Unicamp, V1
Código fonte utilizado na dissertação de mestrado "Comparando modelos pequenos com ajuste fino a modelos grandes com aprendizado em contexto na geração de acórdãos judiciais", defendida em 11/11/2026 no IC/Unicamp. A planilha em Júpiter Notebook (Python) realiza o fine tuning uti... |
Jan 21, 2026 -
Código fonte para fine tuning de LLMs
Jupyter Notebook - 346.7 KB -
MD5: 7916da7dfdd9d3368ea48a965ff7c4bb
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