A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity
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2305.13169
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A Survey on Data Selection for Language Models
Paper • 2402.16827 • Published • 4 -
HuggingFaceFW/fineweb-edu
Viewer • Updated • 3B • 624k • 543 -
allenai/MADLAD-400
Updated • 83.8k • 128 -
uonlp/CulturaX
Viewer • Updated • 7.18B • 10.6k • 475 -
Best Practices and Lessons Learned on Synthetic Data for Language Models
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Scaling Synthetic Data Creation with 1,000,000,000 Personas
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DDK: Distilling Domain Knowledge for Efficient Large Language Models
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Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
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Better Alignment with Instruction Back-and-Forth Translation
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The ShareLM Collection and Plugin: Contributing Human-Model Chats for the Benefit of the Community
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