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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,924 datasets
Historical trade data for Namibia from 1948 to 2020, developed by researchers Christopher Absell, Giovanni Federico, and Antonio Tena Junguito. The dataset is part of the broader Absell-Federico-Tena World Trade Historical Database and was last updated in May 2024.
Historical trade data for Czechia from 1948 to 2020, compiled by the Absell-Federico-Tena World Trade Historical Database. The project is developed by researchers from the University of Gothenburg, New York University Abu Dhabi, and Universidad Carlos III de Madrid. This dataset was last updated in May 2024.
Netherlands Antilles trade records from the Absell-Federico-Tena World Trade Historical Database, covering the years 1948 to 2020. The project was developed by researchers from the University of Gothenburg, New York University Abu Dhabi, and Universidad Carlos III de Madrid. The dataset was last updated in May 2024.
Myanmar's trade data from 1948 to 2020, compiled by researchers Christopher Absell, Giovanni Federico, and Antonio Tena Junguito. The dataset is part of the Absell-Federico-Tena World Trade Historical Database and was last updated on May 5, 2024.
Historical trade records for Denmark spanning over 70 years from 1948 to 2020. The dataset is part of the Absell-Federico-Tena World Trade Historical Database, a project developed by researchers from the University of Gothenburg, New York University Abu Dhabi, and Universidad Carlos III de Madrid. It was last updated in May 2024.
Burundi's historical trade records from 1948 to 2020, part of the Absell-Federico-Tena World Trade Historical Database. The project was developed by researchers from the University of Gothenburg, New York University Abu Dhabi, and Universidad Carlos III de Madrid. The dataset was last updated on May 5, 2024.
Switzerland's trade records from 1948 to 2020, compiled by researchers Christopher Absell, Giovanni Federico, and Antonio Tena Junguito. The dataset is part of the Absell-Federico-Tena World Trade Historical Database. It was last updated in the dataverse on May 5, -2024.
The Absell-Federico-Tena World Trade Historical Database provides a record of Japan's international trade flows. The dataset covers the period from 1948 to 2020 and was developed by researchers from the University of Gothenburg, New York University Abu Dhabi, and Universidad Carlos III de Madrid. It was last updated in the DataSalon catalog on May 5, III of Madrid. It was last updated in the DataSalon catalog on May 5, 2024.
1948-2020 trade data for Australia, compiled by researchers Christopher Absell, Giovanni Federico, and Antonio Tena Junguito. The dataset is part of the Absell-Federico-Tena World Trade Historical Database, which likely contains detailed records of imports and exports. It was last updated in May 2024.
Historical trade data for Cuba covering the period from 1948 to 2020. The dataset was developed by researchers Christopher Absell, Giovanni Federico, and Antonio Tena Junguito. It was last updated on the platform in May 2024.
Belgium's historical international trade data from 1948 to 2020. The dataset is part of the Absell-Federico-Tena World Trade Historical Database, a project developed by researchers from the University of Gothenburg, New York University Abu Dhabi, and Universidad Carlos III de Madrid. It was last updated in May 2024.
Serbia's international trade records from the Absell-Federico-Tena World Trade Historical Database, covering 73 years from 1948 to 2020. The project was developed by researchers from the University of Gothenburg, New York University Abu Dhabi, and Universidad Carlos III de Madrid. This dataset was last updated in May 2024.
Historical trade data for Yugoslavia from 1948 to 2020, part of the Absell-Federico-Tena World Trade Historical Database. The project was developed by researchers from the University of Gothenburg, New York University Abu Dhabi, and Universidad Carlos III de Madrid. The dataset was last updated on May 5, 2024.
Afghanistan's trade records from 1948 to 2020 are part of the Absell-Federico-Tena World Trade Historical Database. The project was developed by researchers from the University of Gothenburg, New York University Abu Dhabi, and Universidad Carlos III de Madrid. The dataset was last updated on May 5, 2024.
The Absell-Federico-Tena World Trade Historical Database 1948-2020: Benin is a country-specific subset of a larger historical trade project. It was developed by researchers from the University of Gothenburg, New York University Abu Dhabi, and Universidad Carlos III de Madrid. The dataset was last updated on May 5, 2024.
Historical trade data for the Republic of Moldova from 1948 to 2020, compiled by researchers Christopher Absell, Giovanni Federico, and Antonio Tena Junguito. The dataset is part of the Absell-Federico-Tena World Trade Historical Database, which aggregates international trade statistics. It was last updated on the dataverse platform in May 2024.
Historical trade data for Portugal from 1948 to 2020. The dataset was developed by Christopher Absell, Giovanni Federico, and Antonio Tena Junguito from the University of Gothenburg, New York University Abu Dhabi, and Universidad Carlos III de Madrid. It was last updated in the dataverse repository on May 5, —2024.
From 1800 to 2016, this dataset documents historical trade patterns for Asia. It was developed by Giovanni Federico of Università di Pisa and Antonio Tena Junguito of Universidad Carlos III de Madrid. The data is part of a larger project outlining changes in world trade over more than two centuries.
This repository provides supplementary datasets for use with the tensorflow.keras API. The collection includes datasets such as EMNIST Letters, EMNIST Digits, SVHN, and the Iris dataset, as indicated by the associated tags. Specific details on row counts, columns, and file formats are not provided.
12,000 examples of preference pairs formatted in ChatML, derived from the OpenOrca dataset. This collection was created by mlabonne and last updated on April 11, 2024. It is a preprocessed version of the Intel/orca_dpo_pairs dataset, specifically structured for direct preference optimization training workflows.