Filtering Common Crawl through a database-driven index scan and range-request WARC downloads yields large low-resource-language corpora, and QLoRA fine-tuning on the Amharic subset reduces perplexity and slightly improves few-shot QA for XGLM.
In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 901– 910, Marseille, France
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UnifiedCrawl: Aggregated Common Crawl for Affordable Adaptation of LLMs on Low-Resource Languages
Filtering Common Crawl through a database-driven index scan and range-request WARC downloads yields large low-resource-language corpora, and QLoRA fine-tuning on the Amharic subset reduces perplexity and slightly improves few-shot QA for XGLM.