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Computer Science > Computation and Language

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

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.
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI)
Cite as: arXiv:2403.19340 [cs.CL]
  (or arXiv:2403.19340v1 [cs.CL] for this version)

Submission history

From: Dahyun Kim [view email]
[v1] Thu, 28 Mar 2024 11:57:08 GMT (618kb,D)

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