maanas-writer/mem_agent-model_based-rl-memoryagent-14b-infbench-code-debug-test-c27000-t4096-10s-agnostic

该数据集包含问题（question）、上下文（context）、正确答案（ground_truth）、模型生成的回答（response）、提取的答案（extracted_answer）、最终记忆（final_memory）等字段。此外，还包括记忆长度、回答长度、上下文长度、相似度分数、是否正确、回答的URL链接及其索引、模型名称、是否截断、原始上下文长度、截断后的上下文长度和移除的token数量等信息。数据集分为训练集，包含80个示例，文件大小为33,909,072字节。

The dataset includes fields such as question, context, ground_truth, model-generated response, extracted answer, final memory, and more. It also contains information on memory length, response length, context length, similarity score, correctness, response URL and its index, model name, truncation status, original context length, truncated context length, and number of tokens removed. The dataset is split into a training set with 80 examples, totaling 33,909,072 bytes in size.