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Federal dataScience & Research

Meta Learning Paper Supplemental Code

Published by National Institute of Standards and Technology · Updated 09/11/2023 · Irregularly

Last updated
09/11/2023
First published 10/13/2023
Update frequency
Irregularly
Formats
1
ZIP
Coverage
Nationwide
Federal data

About this dataset

Meta learning with LLM: supplemental code for reproducibility of computational results for MLT and MLT-plus-TM. Related research paper: "META LEARNING WITH LANGUAGE MODELS: CHALLENGES AND OPPORTUNITIES IN THE CLASSIFICATION OF IMBALANCED TEXT", A. Vassilev, H. Jin, M. Hasan, 2023 (to appear on arXiv). All code and data is contained in the zip archive arxiv2023.zip, subject to the licensing terms shown below. See the Readme.txt contained there for detailed explanation how to unpack and run the code. See also requirements.txt for the necessary depedencies (libraries needed). This is not a dataset, but only python source code.

Files and access

Links open the official government source

Links open outside websites we do not control.

Frequently asked questions

Who publishes Meta Learning Paper Supplemental Code?
National Institute of Standards and Technology, part of Department of Commerce, publishes this dataset on Data.gov.
How often is it updated?
The publisher lists the update frequency as irregularly. The last update was on 09/11/2023.
How do I download it?
It is available as ZIP. Use the links in Files and access, which open the official government source.

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Where this catalog comes from

Catalog checked 10/24/2026

We list dataset descriptions only. Downloads and APIs link straight to the official government source, which holds the current version and its terms of use.

Source: Data.gov · Last updated 10/24/2026 · Listing only; the data stays with the publisher

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