English books
This collection of academic e-books covering diverse STEM subjects is a great resource for those looking to train or fine-tune their Large Language Models on high-quality academic data. Topics include astronomy and astrophysics, atomic and molecular physics, biomedical engineering, condensed matter, education, engineering, environmental science and energy, instrumentation and measurement, materials science, mathematics and computational science, medical physics and biophysics, optics and photonics, particle and nuclear physics, plasma physics, quantum science, and more.
This collection of academic e-books covering diverse STEM subjects is a great resource for those looking to train or fine-tune their Large Language Models on high-quality academic data. Topics include astronomy and astrophysics, atomic and molecular physics, biomedical engineering, condensed matter, education, engineering, environmental science and energy, instrumentation and measurement, materials science, mathematics and computational science, medical physics and biophysics, optics and photonics, particle and nuclear physics, plasma physics, quantum science, and more.
This collection of academic e-books covering diverse STEM subjects is a great resource for those looking to train or fine-tune their Large Language Models on high-quality academic data. Topics include astronomy and astrophysics, atomic and molecular physics, biomedical engineering, condensed matter, education, engineering, environmental science and energy, instrumentation and measurement, materials science, mathematics and computational science, medical physics and biophysics, optics and photonics, particle and nuclear physics, plasma physics, quantum science, and more.
This collection of academic e-books covering diverse STEM subjects is a great resource for those looking to train or fine-tune their Large Language Models on high-quality academic data. Topics include astronomy and astrophysics, atomic and molecular physics, biomedical engineering, condensed matter, education, engineering, environmental science and energy, instrumentation and measurement, materials science, mathematics and computational science, medical physics and biophysics, optics and photonics, particle and nuclear physics, plasma physics, quantum science, and more.
Dataset specs
Type
Text
File format
xml
Region/Locale
EN
Amount
617
Leverage
The diverse range of genres, from fiction to technical writing, makes it perfect for training generative AI models for language (like GPT-based models) to produce coherent, contextually relevant text across various domains.
Use cases
Train models to analyze emotional tone and sentiment in various types of written content, from fiction to biography and self-help books, to understand how they are expressed in different contexts.
The dataset�s wide range of subjects allows for fine-tuning models for diverse domains such as business economics, mathematics and philosophy, enabling the development of highly specialized AI models.



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Dataset specs
Type
Text
File format
xml
Region/Locale
EN
Amount
617