Automated Author ProfileMartínez Labrín, Soledad
University of Bío-Bío0000-0002-1110-9066
Martínez Labrín, Soledad
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.9 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Gender bias dataset 📝 DescriptionThis dataset was created for the study “Detection of gender-based violence in digital environments using AI models.” It contains comments from a teaching evaluation survey, each annotated as {0: non-gender bias; 1: gender bias}. Each row corresponds to a comment written by a student in a teaching survey. The comments have been manually annotated according to the presence or absence of gender-based bias. This dataset supports experiments in machine learning, NLP, and automatic bias detection in Spanish-language educational contexts.Language: Spanish-LatamFormat: CSVStructure of row: id_ev: Identifiersesgo: Bias{0: non-gender bias; 1: gender bias}sexo: Sex of who receives the bias {0: male, 1:female}tamano (size)comentario (comments)4. Dataset componentsThe dataset is composed of the following files:dataset960_gender_via.csv - Total rows: 960trainext_gender_bias.csv - Training split - Rows: 770 - Percentage: 80.2%testext_gender_bias.csv - Test split - Rows: 190 - Percentage: 19.8%
Authors
- Segura-Navarrete, Alejandra ;
- Martínez Labrín, Soledad ;
- Figueroa-Quiroz, Viviana ;
- Pamela, Pantoja ;
- Deyanira, Luarte ;
- Opazo-Valenzuela, Paula
Gender bias dataset 📝 DescriptionThis dataset was created for the study “Detection of gender-based violence in digital environments using AI models.” It contains comments from a teaching evaluation survey, each annotated as {0: non-gender bias; 1: gender bias}. Each row corresponds to a comment written by a student in a teaching survey. The comments have been manually annotated according to the presence or absence of gender-based bias. This dataset supports experiments in machine learning, NLP, and automatic bias detection in Spanish-language educational contexts.Language: Spanish-LatamFormat: CSVStructure of row: id_ev: Identifiersesgo: Bias{0: non-gender bias; 1: gender bias}sexo: Sex of who receives the bias {0: male, 1:female}tamano (size)comentario (comments)4. Dataset componentsThe dataset is composed of the following files:dataset960_gender_via.csv - Total rows: 960trainext_gender_bias.csv - Training split - Rows: 770 - Percentage: 80.2%testext_gender_bias.csv - Test split - Rows: 190 - Percentage: 19.8%
Authors
- Segura-Navarrete, Alejandra ;
- Martínez Labrín, Soledad ;
- Figueroa-Quiroz, Viviana ;
- Pamela, Pantoja ;
- Deyanira, Luarte ;
- Opazo-Valenzuela, Paula
Content: Labeled corpus including expressions of gender-based violence extracted from song lyrics in Spanish.Tags: [0: non-gender-based violence; 1: gender-based violence]Description: Include two datasets:Dataset#rowsGBVnon-GBVDS11400386 (27.57%)1014 (72.42%)DS220181014 (50.25%)1004 (49.75%)File format: CSV GBV_extended_aumented.csv3.81 MBMusical_genres_subgenres.csv4.28 KBGBV_original_unbalanced.xlsx 1.23 MB
Authors
- Segura Navarrete, Alejandra ;
- Martínez Labrín, Soledad ;
- Martinez-Araneda, Claudia ;
- Vidal-Castro, Christian ;
- Gomez-Meneses, Pedro ;
- Quintana-Reyes, Cristopher
Content: Labeled corpus including expressions of gender-based violence extracted from song lyrics in Spanish.Tags: [0: non-gender-based violence; 1: gender-based violence]Description: Include two datasets:Dataset#rowsGBVnon-GBVDS11400386 (27.57%)1014 (72.42%)DS220181014 (50.25%)1004 (49.75%)File format: CSV GBV_extended_aumented.csv3.81 MBMusical_genres_subgenres.csv4.28 KBGBV_original_unbalanced.xlsx 1.23 MB
Authors
- Segura Navarrete, Alejandra ;
- Martínez Labrín, Soledad ;
- Martinez-Araneda, Claudia ;
- Vidal-Castro, Christian ;
- Gomez-Meneses, Pedro ;
- Quintana-Reyes, Cristopher