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The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data OnlyThe Falcon LLM teamarXiv:2306.01116v1 [cs.CL] 1 Jun 2023Guilherme Penedo 1 Quentin Malartic 2 Daniel
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Outperforming curated corpora refers to datasets that have been specifically selected or designed to exceed standard benchmarks in performance for natural language processing tasks.
Researchers, organizations, and institutions that utilize curated corpora in their studies or projects may be required to file specific documentation regarding their use and performance metrics.
To fill out the required documentation for outperforming curated corpora, one must provide details regarding the corpus used, the methods of evaluation, performance metrics, and any relevant contextual information.
The purpose of outperforming curated corpora is to provide improved benchmarks for evaluating algorithms and models in machine learning, ensuring that advancements in the field are measurable and robust.
The report must include information such as the source of the corpus, methods of curation, evaluation results, comparisons to existing benchmarks, and any limitations or potential biases in the data.
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