Machine Learning Benchmark Dataset
Category: Research License: pddl Downloads: 665 Rows: 2102 CSV
Dataset card Data preview Source License Citation

Dataset Card

Dataset Description

Machine Learning Benchmark Dataset contains structured research records covering academic studies, research questions, abstracts, experiments, annotations, benchmarks, methodology, evidence, statistical results, computational analysis, and domain-specific research indicators. The dataset supports academic analysis, machine learning evaluation, research dashboards, literature review, benchmark testing, policy studies, and scientific data exploration.

Dataset Summary

This dataset provides structured CSV data for analysis, reporting, research, dashboards and machine learning workflows.

Dataset Structure

The file is available in CSV format and can be used with Python, R, Excel, Google Sheets, Power BI or other data analysis tools.

Data Preview

record_id research_category research_field method_type sample_size result_score status_level reporting_year
1 Policy Policy Research Mixed Methods 77011 34.41 Stable 2022
2 Environmental Social Science Qualitative 75467 45.82 High 2022
3 Technical Economics Quantitative 7147 57.62 Critical 2024
4 Computational Environment Computational 17631 37.22 Stable 2025
5 Environmental Social Science Computational 62516 53.69 Low 2024
6 Computational Environment Qualitative 11580 55.07 Medium 2022
7 Environmental Mathematics Qualitative 48325 29.06 Stable 2023
8 Policy Mathematics Quantitative 28561 25.19 Low 2023
9 Policy Public Health Mixed Methods 85939 37.93 Medium 2022
10 Academic Mathematics Qualitative 57811 89.7 Stable 2022

License

pddl

Citation

Machine Learning Benchmark Dataset. Research Data Collection, Version 1.2, 2025.