DLBDAlkemy/enhanced_reranking_hyde_text0.6B_ans_rel_Llama-3.1-8B-Instruct

该数据集包含了四个部分：cqadupstack_english、fever_test、fiqa_test和nq。每个部分都包含多个特征字段，如查询ID、用户输入、相关文档ID、提示、响应等。这些数据集主要用于训练机器学习模型，以处理问答和文档检索任务。数据集包含训练集，并提供了每个训练集的字节大小和示例数量。此外，数据集还提供了相关问题的答案相关性评分。

The dataset consists of four parts: cqadupstack_english, fever_test, fiqa_test, and nq. Each part contains multiple feature fields such as query ID, user input, relevant document IDs, prompts, responses, etc. These datasets are primarily used for training machine learning models to handle question-answering and document retrieval tasks. The datasets include training sets and provide the byte size and number of examples for each training set. Additionally, the datasets offer relevance scores for answers to related questions.