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.
Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models
Dataverse is an open-source, user-friendly ETL pipeline for large language models with customizable processing blocks.
- Year
- 2024
- Venue
- arXiv 2024
- Authors
- 6
- Hosting
- Abstract onlyARXIV-DEFAULT
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- Abstract & full text
- arxiv.org/abs/2403.19340ARXIV-DEFAULT
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