# flake8: noqa: E501 base_prompt_dict = { 'basic': """You will be presented with a causal graph in the following form: %s. Question: Which set of variables is the instrumental variables relative to an ordered pair of variables (%s, %s) in the above causal graph? Option 1: %s Option 2: %s Option 3: %s Answer (Option 1 or Option 2 or Option 3 ?):""", 'basic-CN': """给定如下因果图:%s。 问题:对于上述因果图中的有序变量对 (%s, %s),工具变量是哪个? 选项一:%s 选项二:%s 选项三:%s 答案(选项一或选项二或选项三?):""", 'adversarial-ignore': """You will be presented with a causal graph in the following form: %s. Question: Which set of variables is the instrumental variables relative to an ordered pair of variables (%s, %s) in the above causal graph? Option 1: %s Option 2: %s Option 3: %s Answer (Option 1 or Option 2 or Option 3 ?):""", 'adversarial-ignore-CN': """给定如下因果图:%s。 问题:对于上述因果图中的有序变量对 (%s, %s),工具变量是哪个? 选项一:%s 选项二:%s 选项三:%s 答案(选项一或选项二或选项三?):""", 'adversarial-doubt': """You will be presented with a causal graph in the following form: %s. Question: Which set of variables is the instrumental variables relative to an ordered pair of variables (%s, %s) in the above causal graph? Option 1: %s Option 2: %s Option 3: %s Answer (Option 1 or Option 2 or Option 3 ?):""", 'adversarial-doubt-CN': """给定如下因果图:%s。 问题:对于上述因果图中的有序变量对 (%s, %s),工具变量是哪个? 选项一:%s 选项二:%s 选项三:%s 答案(选项一或选项二或选项三?):""", 'zero-shot-IcL': """Objective: Your task is to identify the set of variables that serve as instrumental variables for a given ordered pair of treatment and outcome variables (X, Y) in a specified causal graph. Background Information: An instrumental variable Z must meet the following criteria: - (i) Z has a causal effect on X (treatment variable). - (ii) Z affects Y (outcome variable) only through its effect on X, and not directly (exclusion restriction). - (iii) There is no confounding between the effect of Z on Y, meaning that all common causes of Z and Y (if any) are controlled for in the study or are non-existent. Input: - Description of the causal graph, denoting which variables have causal relationships with each other. - A question that specifies the identification of instrumental variables with respect to an ordered pair of variables (X, Y). - Multiple-choice options representing sets of variables that could be instrumental. Output: - Answer in the format "Option N," where N is either 1, 2, or 3 based on the provided options. You will be presented with a causal graph in the following form: %s. Question: Which set of variables is the instrument variables relative to an ordered pair of variables (%s, %s) in the above causal graph? Option 1: %s Option 2: %s Option 3: %s Answer (Option 1 or Option 2 or Option 3 ?):""", 'zero-shot-IcL-CN': """目标 您的任务是在指定的因果关系图中,找出一组变量,作为给定的一对有序处理变量和结果变量(X,Y)的工具变量。 背景信息: 工具变量 Z 必须符合以下标准: - (i) Z 对 X(治疗变量)有因果效应。 - (ii) Z 仅通过对 X 的影响而非直接影响 Y(结果变量)(排除限制)。 - (iii) Z 对 Y 的影响之间不存在混杂因素,即 Z 和 Y 的所有共同原因(如有)都在研究中得到控制或不存在。 输入: - 因果图描述,表示哪些变量之间存在因果关系。 - 一个问题,指明如何确定与一对有序变量(X,Y)相关的工具变量。 - 代表可能是工具变量的多选选项。 输出: - 答案格式为 "选项 N",根据所提供的选项,N 为 一、二 或 三。 给定如下因果图:%s。 问题:对于上述因果图中的有序变量对 (%s, %s),工具变量是哪个? 选项一:%s 选项二:%s 选项三:%s 答案(选项一或选项二或选项三?):""", 'one-shot-IcL': """Objective: Your task is to identify the set of variables that serve as instrumental variables for a given ordered pair of treatment and outcome variables (X, Y) in a specified causal graph. Background Information: An instrumental variable Z must meet the following criteria: - (i) Z has a causal effect on X (treatment variable). - (ii) Z affects Y (outcome variable) only through its effect on X, and not directly (exclusion restriction). - (iii) There is no confounding between the effect of Z on Y, meaning that all common causes of Z and Y (if any) are controlled for in the study or are non-existent. Input: - Description of the causal graph, denoting which variables have causal relationships with each other. - A question that specifies the identification of instrumental variables with respect to an ordered pair of variables (X, Y). - Multiple-choice options representing sets of variables that could be instrumental. Output: - Answer in the format "Option N," where N is either 1, 2, or 3 based on the provided options. Example: You will be presented with a causal graph in the following form: A causes D, A causes E, B causes E, C causes D, and D causes E. Question: Which set of variables is the instrument variables relative to an ordered pair of variables (D, E) in the above causal graph? Option 1: A Option 2: C Option 3: E Answer (Option 1 or Option 2 or Option 3 ?): Option 2 New Input: You will be presented with a causal graph in the following form: %s. Question: Which set of variables is the instrument variables relative to an ordered pair of variables (%s, %s) in the above causal graph? Option 1: %s Option 2: %s Option 3: %s Answer (Option 1 or Option 2 or Option 3 ?):""", 'one-shot-IcL-CN': """目标 您的任务是在指定的因果关系图中,找出一组变量,作为给定的一对有序处理变量和结果变量(X,Y)的工具变量。 背景信息: 工具变量 Z 必须符合以下标准: - (i) Z 对 X(治疗变量)有因果效应。 - (ii) Z 仅通过对 X 的影响而非直接影响 Y(结果变量)(排除限制)。 - (iii) Z 对 Y 的影响之间不存在混杂因素,即 Z 和 Y 的所有共同原因(如有)都在研究中得到控制或不存在。 输入: - 因果图描述,表示哪些变量之间存在因果关系。 - 一个问题,指明如何确定与一对有序变量(X,Y)相关的工具变量。 - 代表可能是工具变量的多选选项。 输出: - 答案格式为 "选项 N",根据所提供的选项,N 为 一、二 或 三。 例子: 给定如下因果图:A导致D, A导致E, B导致E, C导致D, 以及D导致E。 问题:对于上述因果图中的有序变量对 (D, E),工具变量是哪个? 选项一:A 选项二:C 选项三:E 答案(选项一或选项二或选项三?):选项二 新输入: 给定如下因果图:%s。 问题:对于上述因果图中的有序变量对 (%s, %s),工具变量是哪个? 选项一:%s 选项二:%s 选项三:%s 答案(选项一或选项二或选项三?):""", 'three-shot-IcL': """Objective: Your task is to identify the set of variables that serve as instrumental variables for a given ordered pair of treatment and outcome variables (X, Y) in a specified causal graph. Background Information: An instrumental variable Z must meet the following criteria: - (i) Z has a causal effect on X (treatment variable). - (ii) Z affects Y (outcome variable) only through its effect on X, and not directly (exclusion restriction). - (iii) There is no confounding between the effect of Z on Y, meaning that all common causes of Z and Y (if any) are controlled for in the study or are non-existent. Input: - Description of the causal graph, denoting which variables have causal relationships with each other. - A question that specifies the identification of instrumental variables with respect to an ordered pair of variables (X, Y). - Multiple-choice options representing sets of variables that could be instrumental. Output: - Answer in the format "Option N," where N is either 1, 2, or 3 based on the provided options. Example: You will be presented with a causal graph in the following form: A causes D, A causes E, B causes E, C causes D, and D causes E. Question: Which set of variables is the instrument variables relative to an ordered pair of variables (D, E) in the above causal graph? Option 1: A Option 2: C Option 3: E Answer (Option 1 or Option 2 or Option 3 ?): Option 2 You will be presented with a causal graph in the following form: A causes B, A causes E, B causes E, B causes D, C causes E, and C causes D. Question: Which set of variables is the instrument variables relative to an ordered pair of variables (B, D) in the above causal graph? Option 1: A Option 2: B Option 3: D Answer (Option 1 or Option 2 or Option 3 ?): Option 1 You will be presented with a causal graph in the following form: A causes D, A causes B, C causes E, and D causes E. Question: Which set of variables is the instrument variables relative to an ordered pair of variables (D, E) in the above causal graph? Option 1: E Option 2: C Option 3: A Answer (Option 1 or Option 2 or Option 3 ?): Option 3 New Input: You will be presented with a causal graph in the following form: %s. Question: Which set of variables is the instrument variables relative to an ordered pair of variables (%s, %s) in the above causal graph? Option 1: %s Option 2: %s Option 3: %s Answer (Option 1 or Option 2 or Option 3 ?):""", 'three-shot-IcL-CN': """目标 您的任务是在指定的因果关系图中,找出一组变量,作为给定的一对有序处理变量和结果变量(X,Y)的工具变量。 背景信息: 工具变量 Z 必须符合以下标准: - (i) Z 对 X(治疗变量)有因果效应。 - (ii) Z 仅通过对 X 的影响而非直接影响 Y(结果变量)(排除限制)。 - (iii) Z 对 Y 的影响之间不存在混杂因素,即 Z 和 Y 的所有共同原因(如有)都在研究中得到控制或不存在。 输入: - 因果图描述,表示哪些变量之间存在因果关系。 - 一个问题,指明如何确定与一对有序变量(X,Y)相关的工具变量。 - 代表可能是工具变量的多选选项。 输出: - 答案格式为 "选项 N",根据所提供的选项,N 为 一、二 或 三。 例子: 给定如下因果图:A导致D, A导致E, B导致E, C导致D, 以及D导致E。 问题:对于上述因果图中的有序变量对 (D, E),工具变量是哪个? 选项一:A 选项二:C 选项三:E 答案(选项一或选项二或选项三?):选项二 给定如下因果图:A导致B, A导致E, B导致E, B导致D, C导致E, 以及C导致D。 问题:对于上述因果图中的有序变量对 (B, D),工具变量是哪个? 选项一:A 选项二:B 选项三:D 答案(选项一或选项二或选项三?):选项一 给定如下因果图:A导致D, A导致B, C导致E, 以及D导致E。 问题:对于上述因果图中的有序变量对 (D, E),工具变量是哪个? 选项一:E 选项二:C 选项三:A 答案(选项一或选项二或选项三?):选项三 新输入: 给定如下因果图:%s。 问题:对于上述因果图中的有序变量对 (%s, %s),工具变量是哪个? 选项一:%s 选项二:%s 选项三:%s 答案(选项一或选项二或选项三?):""", 'zero-shot-CoT': """You will be presented with a causal graph in the following form: %s. Question: Which set of variables is the instrument variables relative to an ordered pair of variables (%s, %s) in the above causal graph? Let's think step by step. Option 1: %s Option 2: %s Option 3: %s Answer (Option 1 or Option 2 or Option 3 ?):""", 'zero-shot-CoT-CN': """给定如下因果图:%s。 问题:对于上述因果图中的有序变量对 (%s, %s),工具变量是哪个?请逐步思考。 选项一:%s 选项二:%s 选项三:%s 答案(选项一或选项二或选项三?):""", 'manual-CoT': """Here are three examples of identifying instrumental variables using chain of thought, and a question to answer. You will be presented with a causal graph in the following form: A causes D, A causes C, B causes E, C causes D, and D causes E. Question: Which set of variables is the instrument variables relative to an ordered pair of variables (D, E) in the above causal graph? Option 1: A, C Option 2: B Option 3: D Answer (Option 1 or Option 2 or Option 3 ?): A causes D, and C causes D, meaning that A, C, and D are d-connected. Additionally, A and C are not directly related to E, indicating that A, C, and E are d-separated. Therefore, the answer is Option 1. You will be presented with a causal graph in the following form: A causes B, A causes E, A causes C, B causes C, B causes D, B causes E, and D causes E. Question: Which set of variables is the instrument variables relative to an ordered pair of variables (B, D) in the above causal graph? Option 1: B Option 2: A Option 3: D Answer (Option 1 or Option 2 or Option 3 ?): A causes B, meaning that A and B are d-connected. Also, A is not directly related to D, thus A and D are d-separated. Therefore, the answer is Option 2. You will be presented with a causal graph in the following form: A causes C, A causes D, B causes C, B causes D, and C causes E. Question: Which set of variables is the instrument variables relative to an ordered pair of variables (C, E) in the above causal graph? Option 1: D Option 2: C Option 3: B, A Answer (Option 1 or Option 2 or Option 3 ?): A causes C, and B causes C, meaning that B, A, and C are d-connected. Additionally, both B and A are not directly related to E, indicating that B, A, and E are d-separated. Therefore, the answer is Option 3. You will be presented with a causal graph in the following form: %s. Question: Which set of variables is the instrument variables relative to an ordered pair of variables (%s, %s) in the above causal graph? Option 1: %s Option 2: %s Option 3: %s Answer (Option 1 or Option 2 or Option 3 ?):""", 'manual-CoT-CN': """如下为两个使用思维链进行推理的识别工具变量的示例,和一个需要回答的问题。 给定如下因果图:A导致D, A导致C, B导致E, C导致D, 以及D导致E。 问题:对于上述因果图中的有序变量对 (D, E),工具变量是哪个? 选项一:A, C 选项二:B 选项三:D 答案(选项一或选项二或选项三?):A导致D,C导致D,即A ,C和D是d-连通的,且A和C不与E直接相关,即A, C与E是d-分离的。因此答案为选项一。 给定如下因果图:A导致B, A导致E, A导致C, B导致C, B导致D, B导致E, 以及D导致E。 问题:对于上述因果图中的有序变量对 (B, D),工具变量是哪个? 选项一:B 选项二:A 选项三:D 答案(选项一或选项二或选项三?):A导致B,即A和B是d-连通的,且A与D不直接相关,即A和D是d-分离的。因此答案为选项二。 给定如下因果图:%s。 问题:对于上述因果图中的有序变量对 (%s, %s),工具变量是哪个? 选项一:%s 选项二:%s 选项三:%s 答案(选项一或选项二或选项三?):""", 'explicit-function': """You are a helpful assistant for adjustment set analysis (instrument variables). You will be presented with a causal graph in the following form: %s. Question: Which set of variables is the instrument variables relative to an ordered pair of variables (%s, %s) in the above causal graph? Option 1: %s Option 2: %s Option 3: %s Answer (Option 1 or Option 2 or Option 3 ?):""", 'explicit-function-CN': """你是一个用于调整集分析(工具变量)的得力助手。 给定如下因果图:%s。 问题:对于上述因果图中的有序变量对 (%s, %s),工具变量是哪个? 选项一:%s 选项二:%s 选项三:%s 答案(选项一或选项二或选项三?)""", } def get_prompt(task_name, prompt_style, item, prompt_style_str=''): base = base_prompt_dict[prompt_style] prompt = prompt_style_str + base % (item['edges'], item['treatment'], item['outcome'], item['option1'], item['option2'], item['option3']) return prompt