The Pile is a newly constructed 825 GiB dataset from 22 diverse sources that enables language models to achieve better performance on academic, professional, and cross-domain tasks than models trained on Common Crawl variants.
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Introduces a weakly-supervised framework partitioning CTA transcript parsing into sequence labeling and text span-pair relation extraction using distant supervision from protocols and neighbor sentences for long-range context.
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The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile is a newly constructed 825 GiB dataset from 22 diverse sources that enables language models to achieve better performance on academic, professional, and cross-domain tasks than models trained on Common Crawl variants.
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Eliciting Knowledge from Experts:Automatic Transcript Parsing for Cognitive Task Analysis
Introduces a weakly-supervised framework partitioning CTA transcript parsing into sequence labeling and text span-pair relation extraction using distant supervision from protocols and neighbor sentences for long-range context.