maanas-writer/mem_agent-model_based-rl-memoryagent-7b-docfinqa-train-c8192-t4096-1000s-agnostic
收藏Hugging Face2025-11-08 更新2025-11-15 收录
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https://hf-mirror.com/datasets/maanas-writer/mem_agent-model_based-rl-memoryagent-7b-docfinqa-train-c8192-t4096-1000s-agnostic
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资源简介：
该数据集是一个文本数据集，包含问题、上下文、正确答案、响应、提取的答案、最终记忆、记忆长度、响应长度、上下文长度、相似度、正确性、响应URL、响应URL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删除的token数量等字段。数据集分为训练集，共有8000个示例，总大小为3294635534字节。
This dataset is a text dataset containing fields such as question, context, ground truth, response, extracted answer, final memory, memory length, response length, context length, similarity, correctness, response URL, response URL index, model name, whether truncated, original context length, truncated context length, and number of tokens removed. The dataset is split into a training set with a total of 8000 examples and a size of 3294635534 bytes.
提供机构：
maanas-writer
