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test.json

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+[
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "What papers are available on NRG1 fusions in cancer?",
+   "output": "[\n              {\n                \"subquestion\": \"What papers are available on NRG1 fusions in cancer?\",\n                \"module\": \"Internet\",\n                \"date_range\": \"NA\",\n                \"output_type\": \"summarize\"\n              }\n            ]\n"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "What is the preclinical pipeline for Harbour Biomed?",
+   "output": "[\n              {\n                \"subquestion\": \"What is the preclinical pipeline for Harbour Biomed?\",\n                \"module\": \"Internet\",\n                \"date_range\": \"NA\",\n                \"output_type\": \"summarize\"\n              }\n            ]\n\n"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "Summarize the latest news in prostate cancer according to FiercePharma",
+   "output": "[\n              {\n                \"subquestion\": \"What is the latest news in prostate cancer according to FiercePharma?\",\n                \"module\": \"Internet\",\n                \"date_range\": \"NA\",\n                \"output_type\": \"summarize\"\n              }\n            ]\n\n"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "What are the most recent clinical trials to start recruiting for Keytruda?",
+   "output": "[\n              {\n                \"subquestion\": \"What are the most recent clinical trials to start recruiting for Keytruda?\",\n                \"module\": \"ClinicalTrials\",\n                \"date_range\": [\"2023-08-01\", \"2023-08-11\"],\n                \"output_type\": \"List\"\n              }\n            ]\n\n"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "What is MSI, and what is its significance in colorectal cancer?",
+   "output": "[\n              {\n                \"subquestion\": \"What is MSI?\",\n                \"module\": \"Internet\",\n                \"date_range\": \"NA\",\n                \"output_type\": \"summarize\"\n              },\n              {\n                \"subquestion\": \"What is the significance of MSI in colorectal cancer?\",\n                \"module\": \"Internet\",\n                \"date_range\": \"NA\",\n                \"output_type\": \"summarize\"\n              }\n            ]\n\n"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "What is the size of the market for adult ITP treatment in the US?",
+   "output": "[\n              {\n                \"subquestion\": \"What is the size of the market for adult ITP treatment in the US?\",\n                \"module\": \"Internet\",\n                \"date_range\": \"NA\",\n                \"output_type\": \"summarize\"\n              }\n            ]"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "Show me all publications for mitapivat in the past 5 years.",
+   "output": "[\n              {\n                \"subquestion\": \"What are the publications related to mitapivat in the past 5 years?\",\n                \"module\": \"Internet\",\n                \"date_range\": [\"2018-01-01\", \"2023-08-11\"],\n                \"output_type\": \"summarize\"\n              }\n            ]\n"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "What are the top 5 drugs in rheumatoid arthritis by 2022 sales",
+   "output": "\n\n\n[\n  {\n    \"subquestion\": \"What are the top 5 drugs in rheumatoid arthritis by 2022 sales?\",\n    \"module\": \"DailyMed\",\n    \"date_range\": [\"2022-01-01\", \"2022-12-31\"],\n    \"output_type\": \"List\"\n  },\n  {\n    \"subquestion\": \"What are the sales figures for the top 5 drugs in rheumatoid arthritis by 2022 sales?\",\n    \"module\": \"Internet\",\n    \"date_range\": [\"2022-01-01\", \"2022-12-31\"],\n    \"output_type\": \"summarize\"\n  }\n]\n"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "What are the top 5 drugs in rheumatoid arthritis by 2022 sales",
+   "output": "\n\n\n[\n  {\n    \"subquestion\": \"What are the top 5 drugs in rheumatoid arthritis by 2022 sales?\",\n    \"module\": \"DailyMed\",\n    \"date_range\": [\"2022-01-01\", \"2022-12-31\"],\n    \"output_type\": \"List\"\n  },\n  {\n    \"subquestion\": \"What are the sales figures for the top 5 drugs in rheumatoid arthritis by 2022 sales?\",\n    \"module\": \"Internet\",\n    \"date_range\": [\"2022-01-01\", \"2022-12-31\"],\n    \"output_type\": \"summarize\"\n  }\n]\n"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "Which drugs does Dice Therapeutics have in clinical development?",
+   "output": "[\n              {\n                \"subquestion\": \"What drugs does Dice Therapeutics have in clinical development?\",\n                \"module\": \"ClinicalTrials\",\n                \"date_range\": \"NA\",\n                \"output_type\": \"List\"\n              }\n            ]"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "Which phase of clinical development is DC-806 in?",
+   "output": "[\n              {\n                \"subquestion\": \"What is the current phase of clinical development for DC-806?\",\n                \"module\": \"ClinicalTrials\",\n                \"date_range\": [\"2022-01-01\", \"now\"],\n                \"output_type\": \"List\"\n              }\n            ]"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "What are the strong forces present in high concentration protein formulations?",
+   "output": "[\n              {\n                \"subquestion\": \"What are the strong forces present in high concentration protein formulations?\",\n                \"module\": \"Internet\",\n                \"date_range\": \"NA\",\n                \"output_type\": \"summarize\"\n              }\n            ]\n"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "What are the latest progresses on OncoTherad therapy?",
+   "output": "[\n              {\n                \"subquestion\": \"What are the latest progresses on OncoTherad therapy?\",\n                \"module\": \"Internet\",\n                \"date_range\": \"NA\",\n                \"output_type\": \"summarize\"\n              }\n            ]\n"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "What is the recent news regarding Sanofi's development in multiple sclerosis?",
+   "output": "[\n                {\n                    \"subquestion\": \"What is the recent news regarding Sanofi's development in multiple sclerosis?\",\n                    \"module\": \"Internet\",\n                    \"date_range\": [\"2023-01-01\", \"2023-08-11\"],\n                    \"output_type\": \"summarize\"\n                }\n            ]\n"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "XtalPi has collaborations with which big pharma companies? What do XtalPi specialize in?",
+   "output": "[\n              {\n                \"subquestion\": \"What are the collaborations of XtalPi with big pharma companies?\",\n                \"module\": \"Internet\",\n                \"date_range\": \"NA\",\n                \"output_type\": \"summarize\"\n              },\n              {\n                \"subquestion\": \"What does XtalPi specialize in?\",\n                \"module\": \"Internet\",\n                \"date_range\": \"NA\",\n                \"output_type\": \"summarize\"\n              }\n            ]"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "You are in charge of drug launch in EU region. What is the main factor that you should consider for a successful launch in EU?",
+   "output": "[\n              {\n                \"subquestion\": \"What is the main factor that you should consider for a successful launch in EU?\",\n                \"module\": \"Internet\",\n                \"date_range\": \"NA\",\n                \"output_type\": \"summarize\"\n              }\n            ]\n"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "What are the different challenges in commercializing an orphan drug?",
+   "output": "[\n              {\n                \"subquestion\": \"What are the different challenges in commercializing an orphan drug?\",\n                \"module\": \"Internet\",\n                \"date_range\": \"NA\",\n                \"output_type\": \"summarize\"\n              }\n            ]\n"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "How is Komodo Health helping Patient-Led Organizations through RWE ?",
+   "output": "\n\n[\n  {\n    \"subquestion\": \"What are the current challenges faced by Patient-Led Organizations (PLOs) in the healthcare industry?\",\n    \"module\": \"Internet\",\n    \"date_range\": \"NA\",\n    \"output_type\": \"summarize\"\n  },\n  {\n    \"subquestion\": \"How is Komodo Health addressing these challenges for PLOs?\",\n    \"module\": \"Internet\",\n    \"date_range\": \"NA\",\n    \"output_type\": \"summarize\"\n  },\n  {\n    \"subquestion\": \"What is the role of Real-World Evidence (RWE) in helping PLOs achieve their goals?\",\n    \"module\": \"Internet\",\n    \"date_range\": \"NA\",\n    \"output_type\": \"summarize\"\n  }\n]"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "Can you explain the lawsuit between Sandoz and Amgen?",
+   "output": "\n\n[\n  {\n    \"subquestion\": \"What is the background information on the lawsuit between Sandoz and Amgen?\",\n    \"module\": \"Internet\",\n    \"date_range\": \"NA\",\n    \"output_type\": \"summarize\"\n  },\n  {\n    \"subquestion\": \"What are the claims made by each party in the lawsuit?\",\n    \"module\": \"Internet\",\n    \"date_range\": \"NA\",\n    \"output_type\": \"summarize\"\n  },\n  {\n    \"subquestion\": \"What is the current status of the lawsuit?\",\n    \"module\": \"Internet\",\n    \"date_range\": \"NA\",\n    \"output_type\": \"summarize\"\n  }\n]\n"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "What is the nature of the partnership between Eli Lilly and XtalPi, and how will XtalPi's technology be utilized in the drug discovery and development processes?",
+   "output": "\n\n[\n  {\n    \"subquestion\": \"What is the nature of the partnership between Eli Lilly and XtalPi?\",\n    \"module\": \"Internet\",\n    \"date_range\": \"NA\",\n    \"output_type\": \"summarize\"\n  },\n  {\n    \"subquestion\": \"How will XtalPi's technology be utilized in the drug discovery and development processes at Eli Lilly?\",\n    \"module\": \"Internet\",\n    \"date_range\": \"NA\",\n    \"output_type\": \"summarize\"\n  }\n]\n"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "Could you provide a list of drugs that have received Orphan Drug Designation from the FDA in the current year?",
+   "output": "[\n              {\n                \"subquestion\": \"What drugs have received Orphan Drug Designation from the FDA in the current year?\",\n                \"module\": \"DailyMed\",\n                \"date_range\": [\"2023-01-01\", \"2023-08-11\"],\n                \"output_type\": \"List\"\n              }\n            ]"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "Could you provide a summary of the top 10 clinical trial failures from the previous year, along with a brief explanation for each?",
+   "output": "[\n              {\n                \"subquestion\": \"What are the top 10 clinical trial failures from the previous year?\",\n                \"module\": \"ClinicalTrials\",\n                \"date_range\": [\"2022-01-01\", \"2022-12-31\"],\n                \"output_type\": \"List\"\n              },\n              {\n                \"subquestion\": \"Briefly explain each clinical trial failure.\",\n                \"module\": \"ClinicalTrials\",\n                \"date_range\": [\"2022-01-01\", \"2022-12-31\"],\n                \"output_type\": \"summarize\"\n              }\n            ]"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "Name the sponsor and collaborator of NCT03732820?",
+   "output": "[\n              {\n                \"subquestion\": \"What is the sponsor and collaborator of NCT03732820?\",\n                \"module\": \"ClinicalTrials\",\n                \"date_range\": \"NA\",\n                \"output_type\": \"List\"\n              }\n            ]\n\n"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "List active clinical trials using relugolix for prostate cancer in phase 3",
+   "output": "[\n              {\n                \"subquestion\": \"What are the active clinical trials using relugolix for prostate cancer in phase 3?\",\n                \"module\": \"ClinicalTrials\",\n                \"date_range\": [\"2023-01-01\", \"2023-08-11\"],\n                \"output_type\": \"List\"\n              }\n            ]\n\n"
+ },
+ {
+   "input": "\"Today's date: 2023-08-11\n\nYou are Ferma Assistant Agent 0. Your task is to break down the given question into smaller questions following a specific format. Each smaller question should be represented as an object in an array, with attributes like \"\"subquestion,\"\" \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" adhering to the master format provided below:\n\n[\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  {\n    \"\"subquestion\"\": \"\"\"\",\n    \"\"module\"\": \"\"ClinicalTrials\"\" | \"\"DailyMed\"\" | \"\"Internet\"\",\n    \"\"date_range\"\": [\"\"YYYY-MM-DD\"\", \"\"YYYY-MM-DD\"\"] or \"\"NA\"\",\n    \"\"output_type\"\": \"\"summarize\"\" | \"\"List\"\" | \"\"NA\"\"\n  },\n  ...\n]\n\n1)  For any given question, you can divide it into multiple subquestions and format them according to the master format. Each subquestion should have the appropriate values for \"\"module,\"\" \"\"date_range,\"\" and \"\"output_type\"\" based on the master format.\n\n2)  Here are the options for the \"\"module\"\" attribute along with their descriptions:\n\n- \"\"ClinicalTrials\"\": Data related to clinical trials, including study metadata (title, NCT, study type, study phase, start vs completion date), conditions being studied, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy and safety results.\n- \"\"DailyMed\"\": Data related to drug names, approved indications, dosage, administration, side effects, and contraindications.\n- \"\"Internet\"\": Data not related to \"\"ClinicalTrials\"\" or \"\"DailyMed\"\" should fall under \"\"Internet.\"\"\n\n3)  The \"\"date_range\"\" can be determined in the following ways:\n\n- If words like \"\"current,\"\" \"\"recent,\"\" \"\"latest,\"\" or \"\"recently\"\" are mentioned, the date filter should cover the last one year from today's date: date_range: [\"\"2022-08-11\"\", \"\"2023-08-11\"\"].\n- If a specific date is mentioned in the question, apply the provided start and end dates to the date_range.\n- If no date is specified, the date_range should be \"\"NA.\"\"\n\n4)  The \"\"output_type\"\" can be chosen based on the subquestion and can either be \"\"summarize\"\" or \"\"list.\"\"\n\n\nPlease note that the audience you are addressing possesses a high level of expertise and is well-versed in the background information. It is unnecessary to provide supplementary context. When responding to inquiries concerning \"\"ferma,\"\" disregard any reference to the Federation of European Risk Management Associations (FERMA). Focus solely on the context of \"\"ferma.ai,\"\" offering insights, details, and information specifically related to the ferma.ai platform, its capabilities, features, and any pertinent topics associated directly with ferma.ai.\"",
+   "instruct": "What are the drugs investigated in MAGNITUDE trial",
+   "output": "[\n              {\n                \"subquestion\": \"What are the drugs investigated in MAGNITUDE trial?\",\n                \"module\": \"ClinicalTrials\",\n                \"date_range\": [\"2022-01-01\", \"2023-06-01\"],\n                \"output_type\": \"List\"\n              }\n            ]\n\n"
+ }
+]