collabllm/collabllm-multiturn-math-hard-large
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--- dataset_info: features: - name: conv_id dtype: int64 - name: prompt list: - name: content dtype: string - name: role dtype: string - name: completion dtype: string - name: score dtype: float64 - name: turn_id dtype: int64 - name: single_turn_prompt dtype: string - name: single_turn_completion dtype: string - name: single_turn_metadata struct: - name: level dtype: string - name: type dtype: string - name: sessions struct: - name: '0' struct: - name: accuracy struct: - name: reason dtype: string - name: score dtype: int64 - name: thought dtype: string - name: average_score dtype: float64 - name: efficiency struct: - name: reason dtype: string - name: score dtype: int64 - name: thought dtype: string - name: forward_chat list: - name: content dtype: string - name: role dtype: string - name: interactivity struct: - name: reason dtype: string - name: score dtype: int64 - name: thought dtype: string - name: '1' struct: - name: accuracy struct: - name: reason dtype: string - name: score dtype: int64 - name: thought dtype: string - name: average_score dtype: float64 - name: efficiency struct: - name: reason dtype: string - name: score dtype: int64 - name: thought dtype: string - name: forward_chat list: - name: content dtype: string - name: role dtype: string - name: interactivity struct: - name: reason dtype: string - name: score dtype: int64 - name: thought dtype: string - name: '2' struct: - name: accuracy struct: - name: reason dtype: string - name: score dtype: int64 - name: thought dtype: string - name: average_score dtype: float64 - name: efficiency struct: - name: reason dtype: string - name: score dtype: int64 - name: thought dtype: string - name: forward_chat list: - name: content dtype: string - name: role dtype: string - name: interactivity struct: - name: reason dtype: string - name: score dtype: int64 - name: thought dtype: string - name: rewards struct: - name: length_avg dtype: float64 - name: llm_rw_avg dtype: float64 - name: llm_rw_std dtype: float64 - name: reward_std dtype: float64 - name: task_metric_avg dtype: float64 - name: task_metric_std dtype: float64 - name: token_cost_avg dtype: float64 - name: token_cost_std dtype: float64 splits: - name: train num_bytes: 90248703 num_examples: 5054 download_size: 28755762 dataset_size: 90248703 configs: - config_name: default data_files: - split: train path: data/train-* ---
数据集信息: 特征字段: - 名称:对话ID(conv_id),数据类型:64位整数(int64) - 名称:提示词(prompt),类型为列表,包含两个子字段: - 名称:内容(content),数据类型:字符串 - 名称:角色(role),数据类型:字符串 - 名称:补全结果(completion),数据类型:字符串 - 名称:得分(score),数据类型:64位浮点数(float64) - 名称:轮次ID(turn_id),数据类型:64位整数(int64) - 名称:单轮提示词(single_turn_prompt),数据类型:字符串 - 名称:单轮补全结果(single_turn_completion),数据类型:字符串 - 名称:单轮元数据(single_turn_metadata),类型为结构体,包含两个子字段: - 名称:等级(level),数据类型:字符串 - 名称:类型(type),数据类型:字符串 - 名称:会话(sessions),类型为结构体,包含三个以"0"、"1"、"2"为键的子结构体,每个子结构体的字段如下: - 名称:准确率(accuracy),类型为结构体,包含三个子字段: - 名称:理由(reason),数据类型:字符串 - 名称:得分(score),数据类型:64位整数(int64) - 名称:思考过程(thought),数据类型:字符串 - 名称:平均得分(average_score),数据类型:64位浮点数(float64) - 名称:效率(efficiency),类型为结构体,包含三个子字段: - 名称:理由(reason),数据类型:字符串 - 名称:得分(score),数据类型:64位整数(int64) - 名称:思考过程(thought),数据类型:字符串 - 名称:正向对话(forward_chat),类型为列表,包含两个子字段: - 名称:内容(content),数据类型:字符串 - 名称:角色(role),数据类型:字符串 - 名称:交互性(interactivity),类型为结构体,包含三个子字段: - 名称:理由(reason),数据类型:字符串 - 名称:得分(score),数据类型:64位整数(int64) - 名称:思考过程(thought),数据类型:字符串 - 名称:奖励指标(rewards),类型为结构体,包含以下子字段: - 名称:平均长度(length_avg),数据类型:64位浮点数(float64) - 名称:大语言模型奖励平均值(llm_rw_avg),数据类型:64位浮点数(float64) - 名称:大语言模型奖励标准差(llm_rw_std),数据类型:64位浮点数(float64) - 名称:奖励标准差(reward_std),数据类型:64位浮点数(float64) - 名称:任务指标平均值(task_metric_avg),数据类型:64位浮点数(float64) - 名称:任务指标标准差(task_metric_std),数据类型:64位浮点数(float64) - 名称:平均Token(Token)消耗(token_cost_avg),数据类型:64位浮点数(float64) - 名称:Token(Token)消耗标准差(token_cost_std),数据类型:64位浮点数(float64) 数据集划分(splits): - 划分名称:训练集(train),字节数:90248703,样本数量:5054 下载大小:28755762,数据集总大小:90248703 配置项(configs): - 配置名称:默认配置(default),数据文件: - 划分:训练集(train),文件路径:data/train-*



