2K-Characters-10K-Stories: A Quality-Gated Stylized Narrative Dataset with Disentangled Control and Sequence Consistency

This article introduces a new dataset for narrative generation. The focus is on quality control, disentangled control, and sequence consistency, which are important aspects for improving the performance of language models in storytelling. The dataset's characteristics suggest a potential for advancements in generating more coherent and stylistically consistent narratives.

• •The dataset focuses on quality control, disentangled control, and sequence consistency.
• •It aims to improve language models' storytelling capabilities.
• •The dataset has the potential to generate more coherent and stylistically consistent narratives.