LLM-Generated User Friendly HS Code Labels for U.S. Trade in 2024

<b>Description</b> <br>

This dataset presents 2024 U.S. trade labels organized by HS Codes and Census long and short commodity descriptions. As part of this research and dataset contribution, user-friendly labels were developed using a large language model (LLM) to enhance readability and usability for economic research and other applications. This dataset covers nearly 30,000 unique codes traded with the U.S. in 2024. By aligning detailed trade classifications with simplified descriptions, this dataset supports more efficient trade analysis for both technical and non-technical users.<br>

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<b>Data Dictionary</b><br>
<ul>
<li>Index: Row ID, sorted by HS Code</li>
<li>HS Code: HS Code (Harmonized System); HS2/4/6/10; Note: "-" indicates Total.</li>
<li>Census Full Description: Commodity Description (Full - Census)</li>
<li>Census Short Description: Commodity Description (Short - Census)</li>
<li>Year: Trade Year</li>
<li>HS Level: HS Classification Level; ; HS2/4/6/10; Note: 1 indicates Total.</li>
<li>Export (0/1): Export Indicator (1 = Yes, 0 = No)</li>
<li>Import (0/1): Import Indicator (1 = Yes, 0 = No)</li>
<li>Country: Partner Country</li>
<li>LLM Name: LLM-Generated Commodity Label</li>
</ul>