arXiv Open Access 2023

DMOps: Data Management Operation and Recipes

Eujeong Choi Chanjun Park

Lihat Sumber

Abstrak

Data-centric AI has shed light on the significance of data within the machine learning (ML) pipeline. Recognizing its significance, academia, industry, and government departments have suggested various NLP data research initiatives. While the ability to utilize existing data is essential, the ability to build a dataset has become more critical than ever, especially in the industry. In consideration of this trend, we propose a "Data Management Operations and Recipes" to guide the industry in optimizing the building of datasets for NLP products. This paper presents the concept of DMOps which is derived from real-world experiences with NLP data management and aims to streamline data operations by offering a baseline.

Topik & Kata Kunci

cs.DB cs.LG stat.ME

Penulis (2)

Eujeong Choi

Chanjun Park

Format Sitasi

APA MLA BibTeX

Choi, E., Park, C. (2023). DMOps: Data Management Operation and Recipes. https://arxiv.org/abs/2301.01228

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓