Short Stories Dataset

The corpus was created with the purpose of investigating the construction of narratives about Black and white women in short stories generated in Portuguese. Each of the 2100 instances of the dataset comprises a short story generated with the usage of the model meta-llama/Llama-3.2-3B-Instruct from Hugging Face. The data is inside a csv file, with each row containing: the prompt employed, the short story outputted by the model, the name used to create the story, or the tag “no name” if no name was used, and the race of the main character (as set in the prompt, this tag was mainly used for visualization purposes).

The datasheet with more information on the corpus, along with generation and analysis codes, can be found in this repository: https://github.com/hiaac-nlp/clusteringdiscourses.

本语料库的构建旨在探究以葡萄牙语生成的短篇小说中关于黑人与白人女性的叙事建构。本数据集共包含2100条样本，每条样本均为借助Hugging Face平台的meta-llama/Llama-3.2-3B-Instruct模型生成的短篇小说。数据以CSV格式存储，每一行包含以下字段：所使用的提示词（prompt）、模型输出的短篇小说、创作该故事时使用的姓名（若未使用姓名则标注为“无姓名”），以及主角的种族（该标签由提示词设定，主要用于可视化分析）。

如需获取本语料库的详细说明文档，以及数据生成与分析代码，可访问以下代码仓库：https://github.com/hiaac-nlp/clusteringdiscourses。