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arXiv · 2403.19340

Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models

Hyunbyung Park·Sukyung Lee·Gyoungjin Gim·Yungi Kim·Dahyun Kim·Chanjun Park
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Abstract

To address the challenges associated with data processing at scale, we propose Dataverse, a unified open-source Extract-Transform-Load (ETL) pipeline for large language models (LLMs) with a user-friendly design at its core. Easy addition of custom processors with block-based interface in Dataverse allows users to readily and efficiently use Dataverse to build their own ETL pipeline. We hope that Dataverse will serve as a vital tool for LLM development and open source the entire library to welcome community contribution. Additionally, we provide a concise, two-minute video demonstration of our system, illustrating its capabilities and implementation.

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Hyunbyung Park, Sukyung Lee, Gyoungjin Gim, Yungi Kim, Dahyun Kim, Chanjun Park. 2024-03-28. Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models. https://arxiv.org/abs/2403.19340

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