LAMBADA (Language Modeling Benchmark)
LAMBADA is a benchmark designed to evaluate the ability of language models to predict the last word of sentences, emphasizing contextual understanding.
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LAMBADA is a benchmark designed to evaluate the ability of language models to predict the last word of sentences, emphasizing contextual understanding.
enwik9 is a well-known dataset utilized in machine learning and natural language processing tasks, particularly for training language models.
OSCAR (Open Super-large Crawled ALMAnaCH coRpus) is a multilingual corpus derived from a web crawl, used primarily for natural language processing and machine learning research. It provides large-scale textual data across multiple languages, aiming to support language model training and linguistic studies.