Identify and rank publicly available datasets for a research objective.
npx skills add https://github.com/prathamchopra001/INQUIRO --skill dataset-search
Please help me install this Agent Skill. Skill: Dataset Search Source: https://github.com/prathamchopra001/INQUIRO/tree/main/skills/dataset_search Command: npx skills add https://github.com/prathamchopra001/INQUIRO --skill dataset-search
This skill helps researchers and data scientists quickly find relevant, publicly available datasets tailored to their specific research objectives, saving time on manual searching.
Use the dataset search skill to find datasets for training a model to predict customer churn.
High-intent search queries and answers about installing and using this skill.
To find public datasets for machine learning research, you provide a research objective to get a ranked list of public datasets. It prioritizes reputable sources like Kaggle and UCI, assessing data type suitability and accessibility to generate recommendations with source URLs.
The best way to search for datasets tailored to a specific research problem is by evaluating relevance. This approach ranks public datasets based on directness, data type suitability, and accessibility to ensure they match your objective.
Yes, you can locate datasets from specific repositories like Kaggle or UCI. The discovery process targets reputable sources like Kaggle, UCI, and Google Dataset Search to find and recommend publicly available data for your research.
Dataset discovery does work for specialized fields like biology or gene expression. By providing a specific research objective, such as finding gene expression datasets for a cancer type, the tool identifies and ranks suitable public data from various repositories.
To get ranked dataset recommendations with source URLs, you input your research objective into the search tool. It assesses directness, data type, and accessibility to generate a ranked list of dataset recommendations complete with descriptions and source URLs.
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