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About this paper
Aleksandra Piktus, Christopher Akiki, Paulo Villegas, Hugo Laurençon, Gérard Dupont, Alexandra Sasha Luccioni, Yacine Jernite, Anna Rogers
The ROOTS Search Tool provides an accessible, dual-capability search engine for the 1.6TB multilingual ROOTS corpus, the training data for the BLOOM large language model. It enables qualitative inspection of web-scale data, allowing users to identify remaining PII, problematic content, assess biases, and analyze knowledge representation and potential memorization in the dataset.
Key insights
- Qualitative inspection of large-scale LLM training data is an essential and accessible step for responsible AI development, complementing quantitative analyses by revealing specific data issues.
- A dual-approach search engine, combining sparse lexical models for fuzzy search with suffix arrays for exact matching, can effectively provide granular access to massive, multilingual text corpora.
- Integrating data governance principles like controlled access, PII redaction, and user feedback loops into search tools enables practical data transparency and supports continuous improvement in ethical data practices.
Summary by alphaXiv.
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