diff --git "a/train.csv" "b/train.csv" deleted file mode 100644--- "a/train.csv" +++ /dev/null @@ -1,2370 +0,0 @@ -text, -"[INST]<>\nYour task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.\n<>\nWhat is the opinion of the head of the National Cancer Institute's investigational drug research branch on the recent draft guidance from the FDA regarding optimal dosage for cancer drugs?\n[/INST]\nPoA: -1. Identify the head of the National Cancer Institute's investigational drug research branch. -2. Gather their opinion on the recent draft guidance from the FDA regarding optimal dosage for cancer drugs. -output: -[ - { - ""subquestion"": ""What is the opinion of the head of the National Cancer Institute's investigational drug research branch on the recent draft guidance from the FDA regarding optimal dosage for cancer drugs?"", - ""module"": ""Internet"", - ""date_range"": [""2022-08-05"", ""2023-08-05""], - ""output_type"": ""summarize"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What could be the top ten M&A targets in biotech for 2023?[/INST]PoA: -1. Identify potential M&A targets in the biotech industry for 2023. -2. Determine the top ten targets based on various factors such as market potential, pipeline, and financial performance. -output: - -[ - { - ""subquestion"": ""What are the top ten M&A targets in biotech for 2023?"", - ""module"": ""Internet"", - ""date_range"": [""2023-01-01"", ""2023-12-31""], - ""output_type"": ""List"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What is the global cardiology devices market size in 2022, and can you forecast its growth?[/INST]PoA: -1. Determine the global cardiology devices market size in 2022. -2. Forecast the growth of the global cardiology devices market. -output: -[ - { - ""subquestion"": ""What is the global cardiology devices market size in 2022?"", - ""module"": ""Internet"", - ""date_range"": [""2022-01-01"", ""2022-12-31""], - ""output_type"": ""summarize"" - }, - { - ""subquestion"": ""Can you forecast the growth of the global cardiology devices market?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What are BMS's highest earning products?[/INST]PoA: -1. Identify BMS's products. -2. Determine the earnings of each product. -3. Identify the highest earning products. -output: -[ - { - ""subquestion"": ""What are BMS's highest earning products?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>How is eliquis administered?[/INST]PoA: -1. Determine the administration method of Eliquis. -output: -[ - { - ""subquestion"": ""How is Eliquis administered?"", - ""module"": ""DailyMed"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Summarize the design and results of the CASPIAN trial.[/INST]PoA: -1. Gather information on the design of the CASPIAN trial. -2. Summarize the results of the CASPIAN trial. -output: -[ - { - ""subquestion"": ""What is the design of the CASPIAN trial?"", - ""module"": ""ClinicalTrials"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - }, - { - ""subquestion"": ""What are the results of the CASPIAN trial?"", - ""module"": ""ClinicalTrials"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What are the approved SOC for DLBCL?[/INST]PoA: -1. Identify the approved standard of care (SOC) for DLBCL. -output: -[ - { - ""subquestion"": ""What are the approved SOC for DLBCL?"", - ""module"": ""DailyMed"", - ""date_range"": ""NA"", - ""output_type"": ""List"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Summarize secondary endpoint results of PROpel trial[/INST]PoA: -1. Identify the PROpel trial. -2. Summarize the secondary endpoint results of the PROpel trial. -output: -[ - { - ""subquestion"": ""What are the secondary endpoint results of the PROpel trial?"", - ""module"": ""ClinicalTrials"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Summarize the efficacy results for gilteritinib pivotal trials[/INST]PoA: -1. Identify pivotal trials for gilteritinib. -2. Summarize the efficacy results of these trials. -output: -[ - { - ""subquestion"": ""Summarize the efficacy results for gilteritinib pivotal trials?"", - ""module"": ""ClinicalTrials"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Which drugs are approved for duchenne muscular dystrophy?[/INST]PoA: -1. Identify drugs approved for Duchenne Muscular Dystrophy. -output: -[ - { - ""subquestion"": ""Which drugs are approved for Duchenne muscular dystrophy?"", - ""module"": ""DailyMed"", - ""date_range"": ""NA"", - ""output_type"": ""List"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>List dermatology drugs that are approved in Japan that are not approved in the US[/INST]PoA: -1. Identify dermatology drugs approved in Japan. -2. Determine which of these drugs are not approved in the US. -output: -[ - { - ""subquestion"": ""List dermatology drugs that are approved in Japan but not in the US"", - ""module"": ""DailyMed"", - ""date_range"": ""NA"", - ""output_type"": ""List"" - }, -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Provide quarterly sales data for klisyri in the US since launch[/INST]PoA: -1. Identify the launch date of klisyri in the US. -2. Gather quarterly sales data for klisyri in the US since its launch. -output: -[ - { - ""subquestion"": ""What is the quarterly sales data for Klisyri in the US since launch?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Please list all of the targets in clinical trials for targeted protein degradation.[/INST]PoA: -1. Identify targets in clinical trials for targeted protein degradation. -output: -[ - { - ""subquestion"": ""What are the targets in clinical trials for targeted protein degradation?"", - ""module"": ""ClinicalTrials"", - ""date_range"": ""NA"", - ""output_type"": ""List"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Can you summarize milademetan's phase 3 topline results in liposarcoma[/INST]PoA: -1. Gather phase 3 topline results of milademetan in liposarcoma. -output: -[ - { - ""subquestion"": ""Summarize the milademetan's phase 3 topline results in liposarcoma?"", - ""module"": ""ClinicalTrials"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What is the incidence rate of KRAS G12 lung patients?[/INST]PoA: -1. Determine the incidence rate of KRAS G12 lung patients. -output: -[ - { - ""subquestion"": ""What is the incidence rate of KRAS G12 lung patients?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""List"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What are the clinical results for pivotal Alpelisib trials over the past 2 years?[/INST]PoA: -1. Identify pivotal Alpelisib trials conducted over the past 2 years. -2. Gather clinical results from these trials. -output: -[ - { - ""subquestion"": ""What are the clinical results for pivotal Alpelisib trials over the past 2 years?"", - ""module"": ""ClinicalTrials"", - ""date_range"": [""2021-08-04"", ""2023-08-04""] - ""output_type"": ""summarize"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>List current trials for hot flashes or vasomotor symptoms[/INST]PoA: -1. Identify current trials for hot flashes or vasomotor symptoms. -output: -[ - { - ""subquestion"": ""List current trials for hot flashes or vasomotor symptoms"", - ""module"": ""ClinicalTrials"", - ""date_range"": ""NA"", - ""output_type"": ""List"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What is the current position of KRASG12C compounds for NSCLC treatment in terms of overall sales?[/INST]PoA: -1. Identify KRASG12C compounds used for NSCLC treatment. -2. Determine the overall sales position of these compounds. -output: -[ - { - ""subquestion"": ""What are the current sales figures for KRASG12C compounds for NSCLC treatment?"", - ""module"": ""Internet"", - ""date_range"": [""2023-01-01"", ""2023-08-11""], - ""output_type"": ""summarize"" - }, - { - ""subquestion"": ""What is the current position of KRASG12C compounds for NSCLC treatment in terms of overall sales?"", - ""module"": ""Internet"", - ""date_range"": [""2023-01-01"", ""2023-08-11""], - ""output_type"": ""summarize"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What is the regulatory status of aducanemab and lecanemab[/INST]PoA: -1. Determine the regulatory status of aducanemab. -2. Determine the regulatory status of lecanemab. -output: -[ - { - ""subquestion"": ""What is the regulatory status of aducanemab?"", - ""module"": ""DailyMed"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - }, - { - ""subquestion"": ""What is the regulatory status of lecanemab?"", - ""module"": ""DailyMed"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Is lecanemab under review by the European Medicine Agency?[/INST]PoA: -1. Determine if lecanemab is under review by the European Medicine Agency. -output: -[ - { - ""subquestion"": ""Is lecanemab under review by the European Medicine Agency?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What are the reported sales for Keytruda in 2023 and its forecast?[/INST]PoA: -1. Identify the reported sales for Keytruda in 2023. -2. Research the forecast for Keytruda sales in 2023. -output: -[ - { - ""subquestion"": ""What are the reported sales for Keytruda in 2023?"", - ""module"": ""Internet"", - ""date_range"": [""2023-01-01"", ""2023-12-31""], - ""output_type"": ""List"" - }, - { - ""subquestion"": ""What is the forecast for Keytruda sales in 2023?"", - ""module"": ""Internet"", - ""date_range"": [""2023-01-01"", ""2023-12-31""], - ""output_type"": ""summarize"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What is the sensitivity and specificity of surveillance modalities in cutaneous melanoma?[/INST]PoA: -1. Determine the sensitivity of surveillance modalities in cutaneous melanoma. -2. Determine the specificity of surveillance modalities in cutaneous melanoma. -output: -[ - { - ""subquestion"": ""What is the sensitivity of surveillance modalities in cutaneous melanoma?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - }, - { - ""subquestion"": ""What is the specificity of surveillance modalities in cutaneous melanoma?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>How do physicians assess clinical change of Doptelet treatment using the Clinical Global Impression of Change (CGIC) scale[/INST]PoA: -1. Research how physicians assess clinical change of Doptelet treatment. -2. Explore the use of the Clinical Global Impression of Change (CGIC) scale in assessing clinical change. -output: -[ - { - ""subquestion"": ""What is the Clinical Global Impression of Change (CGIC) scale?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - }, - { - ""subquestion"": ""How do physicians assess clinical change of Doptelet treatment using the CGIC scale?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Based on Roche's 2023 Q1 earnings presentation, what diseases is Roche studying Enspryng in[/INST]PoA: -1. Identify Roche's 2023 Q1 earnings presentation. -2. Determine the diseases that Roche is studying Enspryng in based on the presentation. -output: -[ - { - ""subquestion"": ""Based on Roche's 2023 Q1 earnings presentation, what diseases is Roche studying Enspryng in?"", - ""module"": ""Internet"", - ""date_range"": [""2023-01-01"", ""2023-03-31""], - ""output_type"": ""summarize"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Which countries is Abecma available in?[/INST]PoA: -1. Identify the countries where Abecma is available. -output: -[ - { - ""subquestion"": ""Which countries is Abecma available in?"", - ""module"": ""DailyMed"", - ""date_range"": ""NA"", - ""output_type"": ""List"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Which protein-protein interaction modulators are approved for psoriasis? What is its recommended usage in combination with other immunosuppressants?[/INST]PoA: -1. Identify protein-protein interaction modulators approved for psoriasis. -2. Determine the recommended usage of these modulators in combination with other immunosuppressants. -output:[ - { - ""subquestion"": ""Which protein-protein interaction modulators are approved for psoriasis?"", - ""module"": ""DailyMed"", - ""date_range"": ""NA"", - ""output_type"": ""List"" - }, - { - ""subquestion"": ""What is its recommended usage in combination with other immunosuppressants?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>List all the multiple myeloma abstracts at ASCO 2023?[/INST]PoA: -1. Identify multiple myeloma abstracts at ASCO 2023. -output:[ - { - ""subquestion"": ""List all the multiple myeloma abstracts at ASCO 2023?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""List"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Are there any new drugs being investigated in the US for Gaucher Disease by an industry sponsor?[/INST]PoA: -1. Identify new drugs being investigated in the US for Gaucher Disease. -output:[ - { - ""subquestion"": ""Are there any new drugs being investigated in the US for Gaucher Disease by an industry sponsor?"", - ""module"": ""ClinicalTrials"", - ""date_range"": ""NA"", - ""output_type"": ""List"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Who are the main competitors for osimertinib for treatment of non-small cell lung cancer?[/INST]PoA: -1. Identify the main competitors for osimertinib in the treatment of non-small cell lung cancer. -output:[ - { - ""subquestion"": ""Who are the main competitors for osimertinib for treatment of non-small cell lung cancer?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""List"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Compare LUMAKRAS and KRAZATI across indications, Q1 2023 sales and active phase 3 trials.[/INST]PoA: -1. Compare the indications of LUMAKRAS and KRAZATI. -2. Analyze the Q1 2023 sales of LUMAKRAS and KRAZATI. -3. Determine the number of active phase 3 trials for LUMAKRAS and KRAZATI. -output:[ - { - ""subquestion"": ""Compare the indications of LUMAKRAS and KRAZATI."", - ""module"": ""DailyMed"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - }, - { - ""subquestion"": ""Analyze the Q1 2023 sales of LUMAKRAS and KRAZATI."", - ""module"": ""Internet"", - ""date_range"": [""2023-01-01"", ""2023-03-31""], - ""output_type"": ""summarize"" - }, - { - ""subquestion"": ""Determine the number of active phase 3 trials for LUMAKRAS and KRAZATI."", - ""module"": ""ClinicalTrials"", - ""date_range"": ""NA"", - ""output_type"": ""List"" - } -]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Please create a table summarizing all drugs in active development for hidradenitis suppurativa with a column listing the primary completion date for each trial[/INST]PoA: -1. Identify drugs in active development for hidradenitis suppurativa. -2. Create a table summarizing the drugs with a column for the primary completion date of each trial. -output: [ - { - ""subquestion"": ""What drugs are in active development for hidradenitis suppurativa?"", - ""module"": ""ClinicalTrials"", - ""date_range"": ""NA"", - ""output_type"": ""List"" - }, - { - ""subquestion"": ""Create a table summarizing the drugs in active development for hidradenitis suppurativa with a column for the primary completion date of each trial."", - ""module"": ""ClinicalTrials"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } - ]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Can you summarize the ongoing trials for belzutifan in table format. I'd like it to include key parameters like the trial number, combination agents, indication / line of therapy, primary endpoint, phase of study, primary completion date.[/INST]PoA: -1. Identify ongoing trials for belzutifan. -2. Extract key parameters such as trial number, combination agents, indication/line of therapy, primary endpoint, phase of study, and primary completion date. -3. Summarize the information in table format. -output: [ - { - ""subquestion"": ""What are the ongoing trials for belzutifan?"", - ""module"": ""ClinicalTrials"", - ""date_range"": ""NA"", - ""output_type"": ""List"" - }, - { - ""subquestion"": ""Extract trial number, combination agents, indication/line of therapy, primary endpoint, phase of study, and primary completion date for the ongoing trials of belzutifan."", - ""module"": ""ClinicalTrials"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - }, - { - ""subquestion"": ""Present the extracted information in table format."", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } -] - -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Please create a table of international drug sales by year from initial launch to the most current year (including the forecasted revenue in 2023 if available) for the following spinal muscular atrophy therapeutics: 1) Spinraza (Biogen) 2) Zolgensma (Novartis) 3) Evrysdi (Roche)[/INST]PoA: -1. Identify the initial launch year and sales figures for Spinraza, Zolgensma, and Evrysdi. -2. Gather the most recent sales figures for each drug. -3. If available, include the forecasted revenue for 2023. -4. Create a table of international drug sales by year for each therapeutic. -output:[ - { - ""subquestion"": ""What is the initial launch year and sales figures for Spinraza, Zolgensma, and Evrysdi?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - }, - { - ""subquestion"": ""What are the primary outcome measures for the MAGNITUDE trial in mCRPC?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - }, - { - ""subquestion"": ""Is there a forecasted revenue for Spinraza, Zolgensma, and Evrysdi in 2023?."", - ""module"": ""Internet"", - ""date_range"": [""2023-01-01"", ""2023-12-31""], - ""output_type"": ""summarize"" - }, - { - ""subquestion"": ""Create a table of international drug sales by year for Spinraza, Zolgensma, and Evrysdi."", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } -] - -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Compare PROpel and MAGNITUDE trial for mCRPC in terms of primary outcome measures in a tabular format[/INST]PoA: -1. Identify primary outcome measures for the PROpel trial in mCRPC. -2. Identify primary outcome measures for the MAGNITUDE trial in mCRPC. -3. Compare the primary outcome measures of the PROpel and MAGNITUDE trials in a tabular format. -output:[ - { - ""subquestion"": ""What are the primary outcome measures for the PROpel trial in mCRPC?"", - ""module"": ""ClinicalTrials"", - ""date_range"": ""NA"", - ""output_type"": ""List"" - }, - { - ""subquestion"": ""What are the primary outcome measures for the MAGNITUDE trial in mCRPC?"", - ""module"": ""ClinicalTrials"", - ""date_range"": ""NA"", - ""output_type"": ""List"" - }, - { - ""subquestion"": ""Compare the primary outcome measures of the PROpel and MAGNITUDE trials in a tabular format."", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } - -] - -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>List out the indications and approval dates for atezolizumab in a tabular format[/INST]PoA: -1. Identify indications for atezolizumab. -2. Gather approval dates for atezolizumab. -3. Organize the information in a tabular format. -output: [ - { - ""subquestion"": ""What are the indications for atezolizumab?"", - ""module"": ""DailyMed"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - }, - { - ""subquestion"": ""What are the approval dates for atezolizumab?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - }, - { - ""subquestion"": ""Organize the indications and approval dates for atezolizumab in a tabular format."", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } - -] - -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Explain the best way to patent an antibody drug conjugate[/INST]PoA: -1. Research the best practices for patenting an antibody drug conjugate. -output: [ - { - ""subquestion"": ""What is the best way to patent an antibody drug conjugate?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } -] - -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What are the ongoing clinical trials for anti-coagulants[/INST]PoA: -1. Identify ongoing clinical trials for anti-coagulants. -output: [ -{ -""subquestion"": ""What are the ongoing clinical trials for anti-coagulants?"", -""module"": ""ClinicalTrials"", -""date_range"": [""NA"", ""NA""], -""output_type"": ""List"" -} -] -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What Is GDUFA? How does it help the FDA?[/INST]PoA: -1. Define GDUFA and its purpose. -2. Explain how GDUFA helps the FDA. -output: [ - { - ""subquestion"": ""What Is GDUFA?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - }, - { - ""subquestion"": ""How does GDUFA help the FDA?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } -] -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Which drugs are approved for NSCLC KRAS G12C? What are their most recent sales numbers?[/INST]PoA: -1. Identify drugs approved for NSCLC KRAS G12C. -2. Gather the most recent sales numbers for these drugs. -output: [ - { - ""subquestion"": ""Which drugs are approved for NSCLC KRAS G12C?"", - ""module"": ""DailyMed"", - ""date_range"": [""2022-01-01"", ""2023-03-31""], - ""output_type"": ""List"" - }, - { - ""subquestion"": ""What are their most recent sales numbers?"", - ""module"": ""Internet"", - ""date_range"": [""2022-04-01"", ""2023-04-01""], - ""output_type"": ""summarize"" - } - ]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Describe the latest developments in Alzheimer's treatment[/INST]PoA: -1. Gather information on the latest developments in Alzheimer's treatment. -output: [ - { - ""subquestion"": ""What are the latest developments in Alzheimer's treatment?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } - ] -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What are some recent deals in the psychedelic space?[/INST]PoA: -1. Identify recent deals in the psychedelic space. -output:[ - { - ""subquestion"": ""What are some recent deals in the psychedelic space?"", - ""module"": ""Internet"", - ""date_range"": [""2022-01-01"", ""now""], - ""output_type"": ""summarize"" - } - ] -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What's the latest news on Wegovy?[/INST]PoA: -1. Gather the most recent updates or news on Wegovy. -output:[ - { - ""subquestion"": ""What is the latest news on Wegovy?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } - ] -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What is the growth of US market for medicines in 2022?[/INST]PoA: -1. Determine the growth of the US market for medicines in 2022. -output: [ - { - ""subquestion"": ""What is the growth of US market for medicines in 2022?"", - ""module"": ""Internet"", - ""date_range"": [""2022-01-01"", ""2022-12-31""], - ""output_type"": ""summarize"" - } - ] - -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>List compounds that have been shown to induce thymic stromal lymphopoiten production in vitro[/INST]PoA: -1. Identify compounds that have been shown to induce thymic stromal lymphopoiten production in vitro. -output:[ - { - ""subquestion"": ""What compounds have been shown to induce thymic stromal lymphopoietin production in vitro?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } -] -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What are the key news updates in the allogenic CAR-T space in the last two weeks?[/INST]PoA: -1. Gather key news updates in the allogenic CAR-T space from the last two weeks. -output:[ - { - ""subquestion"": ""What are the key news updates in the allogenic CAR-T space in the last two weeks?"", - ""module"": ""Internet"", - ""date_range"": [""2023-08-01"", ""2023-08-11""], - ""output_type"": ""summarize"" - } - ]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What is ctDNA? Can it be used for tumor-specific treatment?[/INST]PoA: -1. Define ctDNA and its significance. -2. Explore the potential of ctDNA for tumor-specific treatment. -output:[ - { - ""subquestion"": ""What is ctDNA?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - }, - { - ""subquestion"": ""Can it be used for tumor-specific treatment?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } - ]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Provide a summary of the company Origimed.[/INST]PoA: -1. Gather information on the company Origimed. -output:[ - { - ""subquestion"": ""What is Origimed?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - }, - { - ""subquestion"": ""What are the products and services offered by Origimed?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""List"" - }, - { - ""subquestion"": ""Who are the key people behind Origimed?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""List"" - }, - { - ""subquestion"": ""What is the current status of Origimed?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } - ]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What papers are available on NRG1 fusions in cancer?[/INST]PoA: -1. Identify papers on NRG1 fusions in cancer. -output:[ - { - ""subquestion"": ""What papers are available on NRG1 fusions in cancer?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } - ] -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What is the preclinical pipeline for Harbour Biomed?[/INST]PoA: -1. Identify the preclinical pipeline for Harbour Biomed. -output:[ - { - ""subquestion"": ""What is the preclinical pipeline for Harbour Biomed?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } - ] -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Summarize the latest news in prostate cancer according to FiercePharma[/INST]PoA: -1. Gather the latest news in prostate cancer according to FiercePharma. -output:[ - { - ""subquestion"": ""What is the latest news in prostate cancer according to FiercePharma?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } - ] -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What are the most recent clinical trials to start recruiting for Keytruda?[/INST]PoA: -1. Identify the most recent clinical trials recruiting for Keytruda. -output:[ - { - ""subquestion"": ""What are the most recent clinical trials to start recruiting for Keytruda?"", - ""module"": ""ClinicalTrials"", - ""date_range"": [""2023-08-01"", ""2023-08-11""], - ""output_type"": ""List"" - } - ] - -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What is MSI, and what is its significance in colorectal cancer?[/INST]PoA: -1. Define MSI and its significance in colorectal cancer. -output:[ - { - ""subquestion"": ""What is MSI?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - }, - { - ""subquestion"": ""What is the significance of MSI in colorectal cancer?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } - ] - -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What is the size of the market for adult ITP treatment in the US?[/INST]PoA: -1. Determine the size of the market for adult ITP treatment in the US. -output:[ - { - ""subquestion"": ""What is the size of the market for adult ITP treatment in the US?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } - ] - -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Show me all publications for mitapivat in the past 5 years.[/INST]PoA: -1. Identify publications for mitapivat in the past 5 years. -output:[ - { - ""subquestion"": ""What are the publications related to mitapivat in the past 5 years?"", - ""module"": ""Internet"", - ""date_range"": [""2018-01-01"", ""2023-08-11""], - ""output_type"": ""summarize"" - } - ] - -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What are the top 5 drugs in rheumatoid arthritis by 2022 sales[/INST]PoA: -1. Identify drugs used for rheumatoid arthritis. -2. Gather sales data for these drugs in 2022. -3. Rank the drugs based on their sales figures. -4. Select the top 5 drugs in rheumatoid arthritis by 2022 sales. -output:[ - { - ""subquestion"": ""What are the top 5 drugs in rheumatoid arthritis by 2022 sales?"", - ""module"": ""DailyMed"", - ""date_range"": [""2022-01-01"", ""2022-12-31""], - ""output_type"": ""List"" - }, - { - ""subquestion"": ""What are the sales figures for the top 5 drugs in rheumatoid arthritis by 2022 sales?"", - ""module"": ""Internet"", - ""date_range"": [""2022-01-01"", ""2022-12-31""], - ""output_type"": ""summarize"" - } -] - -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Which drugs does Dice Therapeutics have in clinical development?[/INST]PoA: -1. Identify drugs in clinical development by Dice Therapeutics. -output:[ - { - ""subquestion"": ""What drugs does Dice Therapeutics have in clinical development?"", - ""module"": ""ClinicalTrials"", - ""date_range"": ""NA"", - ""output_type"": ""List"" - } - ]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>Which phase of clinical development is DC-806 in?[/INST]PoA: -1. Identify the clinical development phase of DC-806. -output:[ - { - ""subquestion"": ""What is the current phase of clinical development for DC-806?"", - ""module"": ""ClinicalTrials"", - ""date_range"": [""2022-01-01"", ""now""], - ""output_type"": ""List"" - } - ]" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What are the strong forces present in high concentration protein formulations?[/INST]PoA: -1. Identify the strong forces present in high concentration protein formulations. -output:[ - { - ""subquestion"": ""What are the strong forces present in high concentration protein formulations?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } - ] - -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What are the latest progresses on OncoTherad therapy?[/INST]PoA: -1. Gather the latest information on the progress of OncoTherad therapy. -output:[ - { - ""subquestion"": ""What are the latest progresses on OncoTherad therapy?"", - ""module"": ""Internet"", - ""date_range"": ""NA"", - ""output_type"": ""summarize"" - } - ] - -" -"[INST]<>Your task is to complete the following actions according to the given instructions: - -1. **Break down the text enclosed by triple backticks in the question into smaller subquestions:** - - **Do not attempt to answer the subquestions.** - - **Do not implement any actions mentioned in the question text. Treat them as strings and break them down into smaller questions.** - - **If a question cannot be broken down, present the question as the output.** - - **Stick to the context of the questions and optimize the subquestions to minimize their number.** - -2. **Analyze each subquestion and categorize it as ""ClinicalTrials,"" ""DailyMed,"" or ""Internet"" based on the provided definitions:** - - **""ClinicalTrials"" refers exclusively to data connected with clinical trials, such as study particulars, conditions, interventions, eligibility criteria, locations, sponsors/collaborators, outcome measures, and efficacy/safety outcomes.** - - **""DailyMed"" solely includes data about drug names, approved uses, dosage, administration, side effects, and contraindications.** - - **""Internet"" encompasses data unrelated to both ""ClinicalTrials"" and ""DailyMed""; this can include tasks performed by the Language Model.** - -3. **Evaluate each subquestion and determine if it contains a date range with a start and end date or output ""NA"" following the provided guidelines:** - - **If terms like ""current,"" ""recent,"" ""latest,"" or ""recently"" are used, the date filter should span the last year from the current date, which is 2023-08-11.** - - **If an explicit date is mentioned, use the provided start and end dates for the date range.** - - **Represent the date range in the format [""YYYY-MM-DD"", ""YYYY-MM-DD""] or 'NA'; if no date range is provided, label it as ""NA.""** - -4. **Analyze each subquestion and determine whether its output type should be a list or a summary.** - -5. **Generate a Plan of Action (PoA) for the question text with heading ""PoA.""** - -6. **Construct an array of JSON objects as the output, with each JSON object containing the following keys: subquestion, module, date_range, and output_type.** - - **Ensure each subquestion is included in the array.** - -Please consider the user's knowledge about clinical trials, DailyMed, and internet data. Do not provide incorrect information. Remember that the current date for your work is 2023-08-11. Your response should strictly focus on executing the specified tasks and should not involve answering the subquestions or providing additional explanations.<>What is the recent news regarding Sanofi's development in multiple sclerosis?[/INST]PoA: -1. Gather the most recent news regarding Sanofi's development in multiple sclerosis. -output:[ - { - ""subquestion"": ""What is the recent news regarding Sanofi's development in multiple sclerosis?"", - ""module"": ""Internet"", - ""date_range"": [""2023-01-01"", ""2023-08-11""], - ""output_type"": ""summarize"" - } - ] - -" \ No newline at end of file