instruction stringlengths 3.98k 6.42k | instruction_type stringlengths 22 25 | input stringlengths 196 19.5k | output stringlengths 1.8k 6.84k | conversation listlengths 2 2 | text stringlengths 4.49k 24.4k |
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**TASK:** Analyze the provided Time Series clinical trial data related to Adverse Events, Concomitant/Prior Medications domains for a Particular Subject, as outlined in the META DATA and INPUT DATA.
**CONTEXT**:
Use the Below Context During Analysing the Data.
SUBJECT INFORMATION:
Age: 74
Sex: Male
Race: White
... | AE_CM_two_domain_outliers | {'AE': {'columns': ['Index', 'AEREFID', 'AEDECOD', 'AETERM', 'AECONTRT', 'AESTDTC', 'AEONGO', 'AEOUT', 'AESER', 'AESEV', 'AETOXGR', 'AEPTCD'], 'data': [['1', '1', 'Headache', 'Severe Headache', 'yes', '2021-01-21 00:00:00', 'No', 'recovered/resolved', 'No', 'Mild', '2', 'null'], ['2', '2', 'null', 'Nausea', 'no', '2021... | "<think>To analyze the provided Time Series clinical trial data related to Adverse Events (AE) and Concomitant Medications (CM) domains for a particular subject, we need to follow the given rules and context. Data Interpretation: 1. Firstly, we created a tabular data frame using the provided data, which consisted of 3 ... | [
{
"content": "You are a Clinical Data Manager with expertise in reviewing Clinical EDC data. Based on the INSTRUCTION section, analyze the clinical EDC data provided in the INPUT section. Provide the required OUTPUT along with your detailed reasoning.\n### INSTRUCTION: **TASK:** Analyze the provided Time Series... | You are a Clinical Data Manager with expertise in reviewing Clinical EDC data. Based on the INSTRUCTION section, analyze the clinical EDC data provided in the INPUT section. Provide the required OUTPUT along with your detailed reasoning.
### INSTRUCTION: **TASK:** Analyze the provided Time Series clinical trial data re... |
**TASK:** Analyze the provided Time Series clinical trial data related to Adverse Events, Concomitant/Prior Medications domains for a Particular Subject, as outlined in the META DATA and INPUT DATA.
**CONTEXT**:
Use the Below Context During Analysing the Data.
SUBJECT INFORMATION:
Age: 67
Sex: Male
Race: White
... | AE_CM_two_domain_outliers | {'AE': {'columns': ['Index', 'AEREFID', 'AETERM', 'AEDECOD', 'AECONTRT', 'AESTDTC', 'AEONGO', 'AEOUT', 'AESER', 'AESEV', 'AETOXGR', 'AEPTCD'], 'data': [['1', '1', 'Headache', 'Headache', 'yes', '01-Jan-2023', 'No', 'recovered/resolved', 'No', 'yes', '2', 'null'], ['2', '2', 'Nausea', 'Nausea', 'no', '05-Jan-2023', 'No'... | "<think>To analyze the provided Time Series clinical trial data related to Adverse Events (AE) and Concomitant Medications (CM) domains for a particular subject, we need to follow the given rules and context.\n Data Interpretation: \n 1. Firstly, we created a tabular data frame using the provided data, which cons... | [
{
"content": "You are a Clinical Data Manager with expertise in reviewing Clinical EDC data. Based on the INSTRUCTION section, analyze the clinical EDC data provided in the INPUT section. Provide the required OUTPUT along with your detailed reasoning.\n### INSTRUCTION: **TASK:** Analyze the provided Time Series... | You are a Clinical Data Manager with expertise in reviewing Clinical EDC data. Based on the INSTRUCTION section, analyze the clinical EDC data provided in the INPUT section. Provide the required OUTPUT along with your detailed reasoning.
### INSTRUCTION: **TASK:** Analyze the provided Time Series clinical trial data re... |
**TASK:** Analyze the provided Time Series clinical trial data related to Adverse Events, ECG Test Results domains for a Particular Subject, as outlined in the META DATA and INPUT DATA.
**CONTEXT**:
Use the Below Context During Analysing the Data.
SUBJECT INFORMATION:
Age: 41
Sex: Female
Race: White
Ethnicity: ... | AE_EG_two_domain_outliers | {'AE': {'columns': ['Index', 'AECONTRT', 'AEDECOD', 'AEENDTC', 'AEONGO', 'AEOUT', 'AEREFID', 'AESER', 'AESEV', 'AESTDTC', 'AETERM', 'AETOXGR', 'AEPTCD'], 'data': [['1', 'No', 'Tachycardia', '10-Feb-2023', 'No', 'Recovered/Resolved', '101', 'No', 'Mild', '10-Feb-2023', 'Tachycardia', '2', 'null'], ['2', 'Yes', 'Bradycar... | "<think>To analyze the provided Time Series clinical trial data related to adverse events (AE) and electrocardiogram (EG) domains for a particular subject, we need to follow the given rules and context. Data Interpretation: 1. Firstly, we created a tabular data frame using the provided data, which consisted of 9 record... | [
{
"content": "You are a Clinical Data Manager with expertise in reviewing Clinical EDC data. Based on the INSTRUCTION section, analyze the clinical EDC data provided in the INPUT section. Provide the required OUTPUT along with your detailed reasoning.\n### INSTRUCTION: **TASK:** Analyze the provided Time Series... | You are a Clinical Data Manager with expertise in reviewing Clinical EDC data. Based on the INSTRUCTION section, analyze the clinical EDC data provided in the INPUT section. Provide the required OUTPUT along with your detailed reasoning.
### INSTRUCTION: **TASK:** Analyze the provided Time Series clinical trial data re... |
**TASK:** Analyze the provided Time Series clinical trial data related to Adverse Events, ECG Test Results domains for a Particular Subject, as outlined in the META DATA and INPUT DATA.
**CONTEXT**:
Use the Below Context During Analysing the Data.
SUBJECT INFORMATION:
Age: 41
Sex: Male
Race: Other
Ethnicity: No... | AE_EG_two_domain_outliers | {'AE': {'columns': ['Index', 'AECONTRT', 'AEDECOD', 'AEENDTC', 'AEONGO', 'AEOUT', 'AEREFID', 'AESER', 'AESEV', 'AESTDTC', 'AETERM', 'AETOXGR'], 'data': [['1', 'Yes', 'Nausea', '20-Feb-2023', 'No', 'Recovered/Resolved', '3', 'No', 'Moderate', '17-Feb-2023', 'Stomach Upset', '2'], ['2', 'No', 'Fever', '05-Mar-2023', 'No'... | "<think>To analyze the provided Time Series clinical trial data related to Adverse Events (AE) and Electrocardiogram (EG) domains for a particular subject, we need to follow the given rules and context.\n Data Interpretation: \n 1. Firstly, we created a tabular data frame using the provided data, which consisted ... | [
{
"content": "You are a Clinical Data Manager with expertise in reviewing Clinical EDC data. Based on the INSTRUCTION section, analyze the clinical EDC data provided in the INPUT section. Provide the required OUTPUT along with your detailed reasoning.\n### INSTRUCTION: **TASK:** Analyze the provided Time Series... | You are a Clinical Data Manager with expertise in reviewing Clinical EDC data. Based on the INSTRUCTION section, analyze the clinical EDC data provided in the INPUT section. Provide the required OUTPUT along with your detailed reasoning.
### INSTRUCTION: **TASK:** Analyze the provided Time Series clinical trial data re... |
**TASK:** Analyze the provided Time Series clinical trial data related to Adverse Events, Laboratory Test Results domains for a Particular Subject, as outlined in the META DATA and INPUT DATA.
**CONTEXT**:
Use the Below Context During Analysing the Data.
SUBJECT INFORMATION:
Age: 74
Sex: Female
Race: White
Ethn... | AE_LB_two_domain_outliers | {'AE': {'columns': ['Index', 'AEREFID', 'AETERM', 'AESTDTC', 'AEENDTC', 'AEDECOD', 'AECONTRT', 'AEONGO', 'AEOUT', 'AEPTCD', 'AESER', 'AESEV', 'AETOXGR'], 'data': [['1', 'AE01', 'Headache', '01-Jan-2023', '03-Jan-2023', 'Headache', 'Yes', 'No', 'Recovered/Resolved', 'null', 'No', 'Yes', '2'], ['2', 'AE02', 'Fatigue', '0... | "<think>To analyze the provided Time Series clinical trial data related to Adverse Events (AE) and Laboratory (LB) domains for a particular subject, we need to follow the given rules and context. Data Interpretation: 1. Firstly, we created a tabular data frame using the provided data, which consisted of 3 records and 1... | [
{
"content": "You are a Clinical Data Manager with expertise in reviewing Clinical EDC data. Based on the INSTRUCTION section, analyze the clinical EDC data provided in the INPUT section. Provide the required OUTPUT along with your detailed reasoning.\n### INSTRUCTION: **TASK:** Analyze the provided Time Series... | You are a Clinical Data Manager with expertise in reviewing Clinical EDC data. Based on the INSTRUCTION section, analyze the clinical EDC data provided in the INPUT section. Provide the required OUTPUT along with your detailed reasoning.
### INSTRUCTION: **TASK:** Analyze the provided Time Series clinical trial data re... |
"**TASK:** Analyze the provided Time Series clinical trial data related to Adverse Events, Laborator(...TRUNCATED) | AE_LB_two_domain_outliers | "{'AE': {'columns': ['Index', 'AEREFID', 'AECONTRT', 'AEDECOD', 'AEENDTC', 'AEONGO', 'AEOUT', 'AEPTC(...TRUNCATED) | "\"<think>To analyze the provided Time Series clinical trial data related to Adverse Events (AE) and(...TRUNCATED) | [{"content":"You are a Clinical Data Manager with expertise in reviewing Clinical EDC data. Based on(...TRUNCATED) | "You are a Clinical Data Manager with expertise in reviewing Clinical EDC data. Based on the INSTRUC(...TRUNCATED) |
"**TASK:** Analyze the provided Time Series clinical trial data related to Adverse Events, Medical H(...TRUNCATED) | AE_MH_two_domain_outliers | "{'AE': {'columns': ['Index', 'AECONTRT', 'AEDECOD', 'AEENDTC', 'AEONGO', 'AEOUT', 'AEREFID', 'AESER(...TRUNCATED) | "\"<think>To analyze the provided Time Series clinical trial data related to Adverse Events (AE) and(...TRUNCATED) | [{"content":"You are a Clinical Data Manager with expertise in reviewing Clinical EDC data. Based on(...TRUNCATED) | "You are a Clinical Data Manager with expertise in reviewing Clinical EDC data. Based on the INSTRUC(...TRUNCATED) |
"**TASK:** Analyze the provided Time Series clinical trial data related to Adverse Events, Medical H(...TRUNCATED) | AE_MH_two_domain_outliers | "{'AE': {'columns': ['Index', 'AECONTRT', 'AEDECOD', 'AEENDTC', 'AEONGO', 'AEOUT', 'AEREFID', 'AESER(...TRUNCATED) | "\"<think>To analyze the provided Time Series clinical trial data related to adverse events (AE) and(...TRUNCATED) | [{"content":"You are a Clinical Data Manager with expertise in reviewing Clinical EDC data. Based on(...TRUNCATED) | "You are a Clinical Data Manager with expertise in reviewing Clinical EDC data. Based on the INSTRUC(...TRUNCATED) |
"**TASK:** Analyze the provided Time Series clinical trial data related to Adverse Events, Physical (...TRUNCATED) | AE_PE_two_domain_outliers | "{'AE': {'columns': ['Index', 'AEREFID', 'AECONTRT', 'AEDECOD', 'AEENDTC', 'AEONGO', 'AEOUT', 'AESER(...TRUNCATED) | "\"<think>To analyze the provided Time Series clinical trial data related to the Adverse Events (AE)(...TRUNCATED) | [{"content":"You are a Clinical Data Manager with expertise in reviewing Clinical EDC data. Based on(...TRUNCATED) | "You are a Clinical Data Manager with expertise in reviewing Clinical EDC data. Based on the INSTRUC(...TRUNCATED) |
"**TASK:** Analyze the provided Time Series clinical trial data related to Adverse Events, Physical (...TRUNCATED) | AE_PE_two_domain_outliers | "{'AE': {'columns': ['Index', 'AEREFID', 'AECONTRT', 'AEDECOD', 'AEENDTC', 'AEONGO', 'AEOUT', 'AESER(...TRUNCATED) | "\"<think>To analyze the provided Time Series clinical trial data related to Adverse Events (AE) and(...TRUNCATED) | [{"content":"You are a Clinical Data Manager with expertise in reviewing Clinical EDC data. Based on(...TRUNCATED) | "You are a Clinical Data Manager with expertise in reviewing Clinical EDC data. Based on the INSTRUC(...TRUNCATED) |
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