data science

This is a dataset that contains the testing results presented in the manuscript "Exploring the Potential of Offline LLMs in Data Science: A Study on Code Generation for Data Analysis", and it aims to assess offline LLMs' capabilities in code generation for data analytics tasks. Best utilization of the dataset would occur after thorough understanding of the manuscript. A total of 250 testing results were generated. They were merged, leading to the creation of this current dataset.

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30 Views

Please cite the following paper when using this dataset:

Vanessa Su and Nirmalya Thakur, “COVID-19 on YouTube: A Data-Driven Analysis of Sentiment, Toxicity, and Content Recommendations”, Proceedings of the IEEE 15th Annual Computing and Communication Workshop and Conference 2025, Las Vegas, USA, Jan 06-08, 2025 (Paper accepted for publication, Preprint: https://arxiv.org/abs/2412.17180).

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97 Views

This dataset is a network representation of authors linked to the publications they have authored or co-authored, collected from OpenAlex.org using the free, open-source tool available at https://openalex4nodexl.netlify.app/. It is provided as a CSV flat file, formatted for use with NodeXL, a popular tool for social network analysis.

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162 Views

mr

Please cite the following paper when using this dataset:

N. Thakur, K. Khanna, S. Cui, N. Azizi, and Z. Liu, “Mining and Analysis of Search Interests related to Online Learning Platforms from Different Countries since the Beginning of COVID-19” [Unpublished Paper - Paper submitted to HCI International 2023, Copenhagen, Denmark, 23-28 July 2023]

 

Brief Description of Dataset file - Interest_Dataset.csv:

Attribute Name: Week

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241 Views

mr

Please cite the following paper when using this dataset:

N. Thakur, K. Khanna, S. Cui, N. Azizi, and Z. Liu, “Mining and Analysis of Search Interests related to Online Learning Platforms from Different Countries since the Beginning of COVID-19” [Unpublished Paper - Paper submitted to HCI International 2023, Copenhagen, Denmark, 23-28 July 2023]

 

Brief Description of Dataset file - Interest_Dataset.csv:

Attribute Name: Week

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Views

Please cite the following paper when using this dataset:

N. Thakur, K. Khanna, S. Cui, N. Azizi, and Z. Liu, “Mining and Analysis of Search Interests related to Online Learning Platforms from Different Countries since the Beginning of COVID-19”, Proceedings of the 25th International Conference on Human-Computer Interaction (HCII 2023), Copenhagen, Denmark, July 23-28, 2023 (Accepted for Publication)

 

Brief Description of Dataset file - Interest_Dataset.csv:

Attribute Name: Week

Categories:
1262 Views

mr

Please cite the following paper when using this dataset:

N. Thakur, K. Khanna, S. Cui, N. Azizi, and Z. Liu, “Mining and Analysis of Search Interests related to Online Learning Platforms from Different Countries since the Beginning of COVID-19” [Unpublished Paper - Paper submitted to HCI International 2023, Copenhagen, Denmark, 23-28 July 2023]

 

Brief Description of Dataset file - Interest_Dataset.csv:

Attribute Name: Week

Categories:
16 Views

Abstract (for details, see https://osf.io/e4rvz/)

Last Updated On: 
Thu, 01/27/2022 - 18:19
Citation Author(s): 
Ji-Ping Lin

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