19,997 machine learning datasets
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(Toll Free) Number +1-341-900-3252
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(Toll Free) Number +1-341-900-3252
(Toll Free) Number +1-341-900-3252
(Toll Free) Number +1-341-900-3252
(Toll Free) Number +1-341-900-3252
(Toll Free) Number +1-341-900-3252
(Toll Free) Number +1-341-900-3252
(Toll Free) Number +1-341-900-3252
(Toll Free) Number +1-341-900-3252
(Toll Free) Number +1-341-900-3252
(Toll Free) Number +1-341-900-3252
(Toll Free) Number +1-341-900-3252
(Toll Free) Number +1-341-900-3252
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Description:
Description:
We introduce CCI4.0, a large-scale bilingual pre-training dataset engineered for superior data quality and diverse human-like reasoning trajectory. CCI4.0 occupies roughly $35$ TB of disk space and comprises two sub-datasets: CCI4.0-M2-Base and CCI4.0-M2-CoT. CCI4.0-M2-Base combines a $5.2$ TB carefully curated Chinese web corpus, a $22.5$ TB English subset from Nemotron-CC, and diverse sources from math, wiki, arxiv, and code. Although these data are mostly sourced from well-processed datasets, the quality standards of various domains are dynamic and require extensive expert experience and labor to process. So, we propose a novel pipeline justifying data quality mainly based on models through two-stage deduplication, multiclassifier quality scoring, and domain-aware fluency filtering. We extract $4.5$ billion pieces of CoT(Chain-of-Thought) templates, named CCI4.0-M2-CoT. Differing from the distillation of CoT from larger models, our proposed staged CoT extraction exemplifies diverse
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