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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,915 datasets
A tokenized version of the 30-billion-token Dolma V1.7 corpus, formatted for Llama 3. The dataset is split into 10 GB chunks for easier handling and was uploaded by user 'emozilla' on May 20, 2024. It is designed to be loaded directly as a NumPy memory-mapped array of integer token IDs.
Aggregate survey data from university students on their perception of a rapid shift to online assessment methods. The dataset includes Likert-scale and closed questions about exam conditions, difficulty, anxiety, and preferences, collected by Daniel Domínguez Figaredo and last updated in May 2024.
A qualitative oral history collection from the village of Herrera de Alcántara, focusing on life before and after significant population decline. The description details a drop from 1500 to 300 inhabitants and covers themes like harsh Franco-era schooling, children's work and games, poverty, and threats like wolves and cattle thieves along the Spanish-Portuguese border. The dataset was coordinated by Álvarez Pérez, Xosé Afonso and last updated on May 5, 2024.
A qualitative dataset describing historical material conditions and social life in the village of San Benito de la Contienda. The description, provided in Spanish, Portuguese, and English, covers topics such as housing, local festivities, typical dishes, and children's games. The dataset was coordinated by Álvarez Pérez, Xosé Afonso and last updated on May 5, 2024.
A qualitative dataset from Dataverse, harvested by e-cienciaDatos and last updated on 2024-05-05. It contains interview responses on linguistic perceptions, focusing on Portuguese dialects spoken in the Cabreiro area, influences from school and other languages, and cross-border relations with Galicia since the Schengen Agreement.
A 2024 study coordinated by Álvarez Pérez, Xosé Afonso, harvested from the e-cienciaDatos Dataverse. The dataset likely contains qualitative data on the Oliventan Portuguese dialect, its proximity to Portuguese and Galician, and the role of schools in linguistic Castilianization. It covers factors like emigration and the historical presence of abuse and religion in schools.
Álvarez Pérez, Xosé Afonso coordinated this sociolinguistic interview dataset from the village of San Benito de la Contienda. The data likely contains interview transcripts or notes documenting language use, focusing on a speaker who uses Spanish with family but has lost fluency in Portuguese. The dataset was last updated on May 5, 2024.
A sociolinguistic interview transcript with an informant from Herrera de Alcántara discussing the Ferrereño language variety. The data was coordinated by Álvarez Pérez, Xosé Afonso and harvested by e-cienciaDatos, with a record last updated on May 5, 2024. The description covers topics such as language similarity to Galician, generational abandonment, and revitalization efforts.
A single informant's narrative provides a qualitative account of daily life, meals, agricultural products, and social interactions in Olivenza. The data, coordinated by Álvarez Pérez, Xosé Afonso, was last updated on May 5, 2024. It captures personal perspectives on historical change, family life, women's social spaces, and childhood games.
A personal oral history interview transcript from Manuel Barreira, a resident of Herrera de Alcántara. The informant describes his father's work transporting goods, his own eight-year experience as a goatherd, military service, schooling, and community relationships with Malpica do Tejo. The dataset was coordinated by Álvarez Pérez, Xosé Afonso and last updated on May 5, 2024.
An interview with a speaker from La Alamedilla provides a linguistic profile of a local 'mistura' dialect, described as a mixture of Spanish and Portuguese influenced by smuggling history. The informant discusses pronunciation, lexical interference, and generational differences in speech, with the final four minutes conducted in Portuguese. The dataset was coordinated by Álvarez Pérez, Xosé Afonso and last updated in May 2024.
A biographical oral history interview with two informants, Adolfo and Manuel, detailing their childhoods in rural Spain/Portugal. The description covers their early work, education, migration, and firsthand observations of infrastructure and population changes in Olivenza. The dataset was coordinated by Álvarez Pérez, Xosé Afonso and last updated on May 5, 2024.
An oral history account from Patricia Lajas describing childhood experiences in Valverde del Fresno. The description details traditional games, language use (Valverdeiro dialect and Castilian Spanish), and local festivals with cross-border Portuguese participation. The dataset was coordinated by Álvarez Pérez, Xosé Afonso and last updated on May 5, 2024.
Galician dialect data from the border towns of Lomear and Rioseco, focusing on language contact with Portuguese. The dataset likely contains interview transcripts or notes on linguistic judgments, perceptions, and behaviors. It was coordinated by Xosé Afonso Álvarez Pérez and last updated in May 2024.
An interview conducted in Laranjeiras, Portugal, discussing historical and contemporary language use along the Portuguese-Spanish border. The dataset, harvested by e-cienciaDatos and coordinated by Álvarez Pérez, Xosé Afonso, was last updated on May 5, 2024. The description covers topics like code-switching, cross-border schooling, and subsistence smuggling.
Aggregated survey data from university faculty contrasts digital practices inside and outside the classroom. The research is based on a model of technological adoption that qualifies ICT uses and their level of appropriation. The dataset was authored by Rosario Freixas and last updated on May 5, -2024.
Data.kcmo.org provides a dataset of school district boundaries, likely for Kansas City, Missouri. The dataset includes columns such as DISTRICT_NAME, SHAPE.AREA, SHAPE.LEN, and the_geom, suggesting polygon geometry for spatial analysis. It was last updated on 2024-05-04 08:58:48.
Bonai provides aerial imagery and annotations specifically designed for extracting building footprints from off-nadir perspectives, developed by jwwangchn and updated in June 2024. The data supports research into correcting the geometric displacement between building roofs and their actual ground footprints caused by non-vertical camera angles.
A master's thesis project created a machine learning model for wildfire risk assessment using remote sensing data. The dataset, uploaded by author beppemar, was last updated on May 10, 2024. It is intended to support global-scale wildfire risk modeling.
Introduced in 2024, EXAMS-V is a benchmark dataset designed to evaluate vision-language models. It features multi-discipline, multimodal, and multilingual exam questions. The dataset was created by researchers from Mohamed bin Zayed University of Artificial Intelligence and Sofia University.