s-nlp/Mistral-7b-0.3-Instruct-DBpedia-HighlyKnown
收藏Hugging Face2025-02-24 更新2025-04-12 收录
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https://hf-mirror.com/datasets/s-nlp/Mistral-7b-0.3-Instruct-DBpedia-HighlyKnown
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资源简介：
这是一个基于DBpedia数据集构建的问答任务数据集，用于研究论文《How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?》。数据集包含问题、答案及其变体、预处理问题、贪婪答案、答案的概率、类别、文本段落、段落长度以及是否包含段落的标记等信息。数据集分为一个完整的split，包含约2.1万个示例。
This is a question-answering dataset based on the DBpedia dataset, used for the research paper How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?. The dataset includes information such as questions, answers and their aliases, preprocessed questions, greedy answers, probability of answers, categories, text paragraphs, paragraph lengths, and a boolean indicating the presence of a paragraph. The dataset is split into a full set containing approximately 21,000 examples.
提供机构：
s-nlp
