Universidad Autónoma de Madrid

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21 a 30 de 872 Resultados

SNA_complete_file_edges_data.csv 2 jun 2025 - Advocacy and Alternatives in European Disinformation Regulation (AAEDR): A Multi-Method Dataset (QDA, SNA, DNA, QCA) Valores separados por comas - 14,7 KB - MD5: d519be5e0e45c42bce872f14ecb0939c DataDatos
SNA_complete_file_with_variable_calculation.csv 2 jun 2025 - Advocacy and Alternatives in European Disinformation Regulation (AAEDR): A Multi-Method Dataset (QDA, SNA, DNA, QCA) Valores separados por comas - 9,5 KB - MD5: cdc40d590207137c6f738a98d4271d09 DataDatos
SNA_complete_network_with_analysis_data.gephi 2 jun 2025 - Advocacy and Alternatives in European Disinformation Regulation (AAEDR): A Multi-Method Dataset (QDA, SNA, DNA, QCA) Desconocido - 184,4 KB - MD5: 54fc76866df8acc6c88808b503e2d9de DataDatos
Spreadsheet_actors_RECLAIM.tab 2 jun 2025 - Advocacy and Alternatives in European Disinformation Regulation (AAEDR): A Multi-Method Dataset (QDA, SNA, DNA, QCA) Datos tabulares - 31,2 KB DataDatos List of participating organizations
triangulation_coalitions.csv 2 jun 2025 - Advocacy and Alternatives in European Disinformation Regulation (AAEDR): A Multi-Method Dataset (QDA, SNA, DNA, QCA) Valores separados por comas - 3,6 KB - MD5: 6f008fb21625191006f7744edea3d7dd DataDatos
Two_mode_network_raw_data.csv 2 jun 2025 - Advocacy and Alternatives in European Disinformation Regulation (AAEDR): A Multi-Method Dataset (QDA, SNA, DNA, QCA) Valores separados por comas - 25,5 KB - MD5: b61b47516989d22238c3b1368d97ae8c DataDatos
Synthetic datasets generated by Large Language Models 27 may 2025 Torterolo Orta, Yanco Amor; Roseti, Sofía Micaela; Moreno-Sandoval, Antonio, 2025, "Synthetic datasets generated by Large Language Models", https://doi.org/10.21950/YXP8Q8, e-cienciaDatos, V1 This dataset is the result of the work done in the project GRESEL-UAM: About GRESEL: AI Generation Results Enriched with Simplified Explanations Based on Linguistic Features (Resultados de Generación de IA Enriquecidos con Explicaciones Simplificadas Basadas en Características Li...
output_deepseek-r1_14b.csv 27 may 2025 - Synthetic datasets generated by Large Language Models Valores separados por comas - 112,1 KB - MD5: 41dd93900bfd7b940afe75aa97dffe42 DataDatos Synthetic QA dataset generated by the model deepseek-r1:14b
output_llama3.1_8b-instruct-q8_0.csv 27 may 2025 - Synthetic datasets generated by Large Language Models Valores separados por comas - 96,5 KB - MD5: c2ffef1b613b54f79165a0b2faaf4469 DataDatos Synthetic QA dataset generated by the model llama3.1:8b-instruct-q8_0
output_mistral_7b-instruct.csv 27 may 2025 - Synthetic datasets generated by Large Language Models Valores separados por comas - 112,3 KB - MD5: 2d1dc985f80d6ce1a3a261967bd49bd3 DataDatos Synthetic QA dataset generated by the model mistral:7b-instruct

SNA_complete_file_edges_data.csv

2 jun 2025 - Advocacy and Alternatives in European Disinformation Regulation (AAEDR): A Multi-Method Dataset (QDA, SNA, DNA, QCA)

Valores separados por comas - 14,7 KB -

DataDatos

SNA_complete_file_with_variable_calculation.csv

2 jun 2025 - Advocacy and Alternatives in European Disinformation Regulation (AAEDR): A Multi-Method Dataset (QDA, SNA, DNA, QCA)

Valores separados por comas - 9,5 KB -

DataDatos

SNA_complete_network_with_analysis_data.gephi

2 jun 2025 - Advocacy and Alternatives in European Disinformation Regulation (AAEDR): A Multi-Method Dataset (QDA, SNA, DNA, QCA)

Desconocido - 184,4 KB -

DataDatos

Spreadsheet_actors_RECLAIM.tab

2 jun 2025 - Advocacy and Alternatives in European Disinformation Regulation (AAEDR): A Multi-Method Dataset (QDA, SNA, DNA, QCA)

Datos tabulares - 31,2 KB

DataDatos

List of participating organizations

triangulation_coalitions.csv

2 jun 2025 - Advocacy and Alternatives in European Disinformation Regulation (AAEDR): A Multi-Method Dataset (QDA, SNA, DNA, QCA)

Valores separados por comas - 3,6 KB -

DataDatos

Two_mode_network_raw_data.csv

2 jun 2025 - Advocacy and Alternatives in European Disinformation Regulation (AAEDR): A Multi-Method Dataset (QDA, SNA, DNA, QCA)

Valores separados por comas - 25,5 KB -

DataDatos

Synthetic datasets generated by Large Language Models

27 may 2025

Torterolo Orta, Yanco Amor; Roseti, Sofía Micaela; Moreno-Sandoval, Antonio, 2025, "Synthetic datasets generated by Large Language Models", https://doi.org/10.21950/YXP8Q8, e-cienciaDatos, V1

This dataset is the result of the work done in the project GRESEL-UAM: About GRESEL: AI Generation Results Enriched with Simplified Explanations Based on Linguistic Features (Resultados de Generación de IA Enriquecidos con Explicaciones Simplificadas Basadas en Características Li...

output_deepseek-r1_14b.csv

27 may 2025 - Synthetic datasets generated by Large Language Models

Valores separados por comas - 112,1 KB -

DataDatos

Synthetic QA dataset generated by the model deepseek-r1:14b

output_llama3.1_8b-instruct-q8_0.csv

27 may 2025 - Synthetic datasets generated by Large Language Models

Valores separados por comas - 96,5 KB -

DataDatos

Synthetic QA dataset generated by the model llama3.1:8b-instruct-q8_0

output_mistral_7b-instruct.csv

27 may 2025 - Synthetic datasets generated by Large Language Models

Valores separados por comas - 112,3 KB -

DataDatos

Synthetic QA dataset generated by the model mistral:7b-instruct

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