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

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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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cs.DB 1

years

2025 1

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CONDITIONAL 1

representative citing papers

A Survey of LLM $\times$ DATA

cs.DB · 2025-05-24 · conditional · novelty 5.0

A comprehensive survey of the bidirectional links between LLMs and data management, organized as DATA4LLM and LLM4DATA with a new 'IaaS' data-quality framework.

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  • A Survey of LLM $\times$ DATA cs.DB · 2025-05-24 · conditional · none · ref 305 · internal anchor

    A comprehensive survey of the bidirectional links between LLMs and data management, organized as DATA4LLM and LLM4DATA with a new 'IaaS' data-quality framework.