ecg_path
stringlengths 42
64
| text
stringlengths 124
2.29k
| name
stringclasses 6
values |
|---|---|---|
../data/cpsc/preprocessed_2500/A0172_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"I-AVB"}]
|
cpsc-test
|
../data/ptb_xl/preprocessed_2500/records500_06000_06265_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"NORM"}]
|
ptb-test
|
../data/cpsc/preprocessed_2500/A6661_1.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"I-AVB"}]
|
cpsc-test
|
../data/code15/preprocessed_2500/1385842_0.npy
|
[{"from":"human","value":"Determine the appropriate class for the ECG image: 1dAVb(1st degree av block), RBBB(right bundle branch block), LBBB(left bundle branch block), SB(sinus bradycardia), ST(sinus tachycardia), AF(atrial fibrillation). The last line of your response should be of the following format: 'Answer: $CLASS(;CLASS)' (without quotes and separate multiple classes with a semicolon if any), where CLASS is one of the above candidate classes."},{"from":"gpt","value":"1dAVb"}]
|
code15-test
|
../data/ptb_xl/preprocessed_2500/records500_18000_18742_hr_0.npy
|
[{"from":"human","value":"Given this ECG image, please answer the following question. From the provided options, select all that apply. List your selections, separated by commas.\nQuestion: Can atrial fibrillation be detected from this ECG?\nOptions: no, not sure, yes\n\nOnly answer based on the given Options without any explanation."},{"from":"gpt","value":"no"}]
|
ecgqa-test
|
../data/ptb_xl/preprocessed_2500/records500_11000_11755_hr_0.npy
|
[{"from":"human","value":"Write a diagnostic report for this ECG image."},{"from":"gpt","value":"Tachycardic atrial fibrillation, left axis deviation, left anterior hemiblock, abnormal QRS(T), anteroseptal infarction, likely old, inferior infarction, age undetermined, abnormal ST & T, likely anterolateral ischemia or left ventricular strain."}]
|
ptb-test-report
|
../data/ptb_xl/preprocessed_2500/records500_03000_03660_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"HYP"}]
|
ptb-test
|
../data/ptb_xl/preprocessed_2500/records500_13000_13349_hr_0.npy
|
[{"from":"human","value":"Given this ECG image, please answer the following question. From the provided options, select all that apply. List your selections, separated by commas.\nQuestion: Are there any abnormal noises detected in lead III on this ECG?\nOptions: no, yes\n\nOnly answer based on the given Options without any explanation."},{"from":"gpt","value":"no"}]
|
ecgqa-test
|
../data/cpsc/preprocessed_2500/A1389_2.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"AF;STD"}]
|
cpsc-test
|
../data/code15/preprocessed_2500/4255389_0.npy
|
[{"from":"human","value":"Determine the appropriate class for the ECG image: 1dAVb(1st degree av block), RBBB(right bundle branch block), LBBB(left bundle branch block), SB(sinus bradycardia), ST(sinus tachycardia), AF(atrial fibrillation). The last line of your response should be of the following format: 'Answer: $CLASS(;CLASS)' (without quotes and separate multiple classes with a semicolon if any), where CLASS is one of the above candidate classes."},{"from":"gpt","value":"ST"}]
|
code15-test
|
../data/cpsc/preprocessed_2500/A3323_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"LBBB"}]
|
cpsc-test
|
../data/ptb_xl/preprocessed_2500/records500_17000_17839_hr_0.npy
|
[{"from":"human","value":"Write a diagnostic report for this ECG image."},{"from":"gpt","value":"Sinus rhythm. Non-specific T wave flattening in leads I, aVL, V2, V3, and V4. Myocardial ischemia is likely."}]
|
ptb-test-report
|
../data/ptb_xl/preprocessed_2500/records500_04000_04335_hr_0.npy
|
[{"from":"human","value":"Given this ECG image, please answer the following question. From the provided options, select all that apply. List your selections, separated by commas.\nQuestion: What are the diagnostic indications that this ECG presents, including those that are not definitive?\nOptions: subendocardial injury in anterolateral leads, non-specific ischemic, ischemic in anterolateral leads, non-specific intraventricular conduction disturbance (block), ischemic in anteroseptal leads, left ventricular hypertrophy, ischemic in inferolateral leads, myocardial infarction in anterolateral leads\n\nOnly answer based on the given Options without any explanation."},{"from":"gpt","value":"non-specific ischemicleft ventricular hypertrophy"}]
|
ecgqa-test
|
../data/code15/preprocessed_2500/3197743_0.npy
|
[{"from":"human","value":"Inspect and classify the ECG as normal or abnormal. Provide NORM or ABNORMAL as the output."},{"from":"gpt","value":"ABNORMAL"}]
|
code15-test
|
../data/code15/preprocessed_2500/2975699_0.npy
|
[{"from":"human","value":"Determine the appropriate class for the ECG image: 1dAVb(1st degree av block), RBBB(right bundle branch block), LBBB(left bundle branch block), SB(sinus bradycardia), ST(sinus tachycardia), AF(atrial fibrillation). The last line of your response should be of the following format: 'Answer: $CLASS(;CLASS)' (without quotes and separate multiple classes with a semicolon if any), where CLASS is one of the above candidate classes."},{"from":"gpt","value":"1dAVb"}]
|
code15-test
|
../data/code15/preprocessed_2500/2679349_0.npy
|
[{"from":"human","value":"Analyze whether the ECG is normal or abnormal. Your output should be NORM or ABNORMAL."},{"from":"gpt","value":"ABNORMAL"}]
|
code15-test
|
../data/ptb_xl/preprocessed_2500/records500_12000_12719_hr_0.npy
|
[{"from":"human","value":"Given this ECG image, please answer the following question. From the provided options, select all that apply. List your selections, separated by commas.\nQuestion: Could you identify the form-related features shown by this ECG in lead V5?\nOptions: non-specific st changes, non-specific st depression, voltage criteria (qrs) for left ventricular hypertrophy, non-diagnostic t abnormalities, non-specific t-wave changes, q waves present, none, inverted t-waves\n\nOnly answer based on the given Options without any explanation."},{"from":"gpt","value":"voltage criteria (qrs) for left ventricular hypertrophy"}]
|
ecgqa-test
|
../data/ptb_xl/preprocessed_2500/records500_05000_05826_hr_0.npy
|
[{"from":"human","value":"Write a diagnostic report for this ECG image."},{"from":"gpt","value":"Sinus rhythm, A-V block I, extreme left electrical axis, nonspecific incomplete bundle branch block, abnormal QRS(T) progression, lateral infarction, likely older."}]
|
ptb-test-report
|
../data/ptb_xl/preprocessed_2500/records500_10000_10846_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"NORM"}]
|
ptb-test
|
../data/cpsc/preprocessed_2500/A5278_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"RBBB"}]
|
cpsc-test
|
../data/ptb_xl/preprocessed_2500/records500_06000_06174_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"CD"}]
|
ptb-test
|
../data/cpsc/preprocessed_2500/A2414_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"RBBB"}]
|
cpsc-test
|
../data/ptb_xl/preprocessed_2500/records500_08000_08460_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"STTC"}]
|
ptb-test
|
../data/csn/preprocessed_2500/JS02828_0.npy
|
[{"from":"human","value":"Answer the following multiple choice question. The last line of your response should be of the following format: 'Answer: $LETTER' (without quotes) where LETTER is one of options. Provide the correct option directly.\nIdentify the class for the given ECG image:\nA. PVC(premature ventricular contractions), NSSTTA(nonspecific st t abnormality)\nB. RAF(rapid atrial fibrillation), ICA(indeterminate cardiac axis)\nC. PWC(p wave change), AIVR(accelerated idioventricular rhythm)\nD. AIVR(accelerated idioventricular rhythm), AH(atrial hypertrophy)\nE. VEsR(ventricular escape rhythm), abQRS(abnormal QRS)\nF. SB(sinus bradycardia), NSSTTA(nonspecific st t abnormality)\nG. LBBB(left bundle branch block), LIs(lateral ischaemia)\nH. SB(sinus bradycardia), RAH(right atrial hypertrophy)"},{"from":"gpt","value":"F. SB(sinus bradycardia), NSSTTA(nonspecific st t abnormality)"}]
|
csn-test-no-cot
|
../data/ptb_xl/preprocessed_2500/records500_11000_11686_hr_0.npy
|
[{"from":"human","value":"Given this ECG image, please answer the following question. From the provided options, select all that apply. List your selections, separated by commas.\nQuestion: Which leads on the ECG are producing burst noise?\nOptions: lead V2, lead V5, lead aVF, lead V1, lead aVR, lead II, lead V4, lead III, none, lead V3, lead I, lead V6, lead aVL\n\nOnly answer based on the given Options without any explanation."},{"from":"gpt","value":"lead Ilead IIlead IIIlead aVRlead aVLlead aVFlead V1lead V2lead V3"}]
|
ecgqa-test
|
../data/ptb_xl/preprocessed_2500/records500_03000_03708_hr_0.npy
|
[{"from":"human","value":"Given this ECG image, please answer the following question. From the provided options, select all that apply. List your selections, separated by commas.\nQuestion: Is lead V6 showing any baseline drift on this ECG?\nOptions: no, yes\n\nOnly answer based on the given Options without any explanation."},{"from":"gpt","value":"no"}]
|
ecgqa-test
|
../data/code15/preprocessed_2500/2908093_0.npy
|
[{"from":"human","value":"Determine the appropriate class for the ECG image: 1dAVb(1st degree av block), RBBB(right bundle branch block), LBBB(left bundle branch block), SB(sinus bradycardia), ST(sinus tachycardia), AF(atrial fibrillation). The last line of your response should be of the following format: 'Answer: $CLASS(;CLASS)' (without quotes and separate multiple classes with a semicolon if any), where CLASS is one of the above candidate classes."},{"from":"gpt","value":"RBBB"}]
|
code15-test
|
../data/csn/preprocessed_2500/JS15805_0.npy
|
[{"from":"human","value":"Answer the following multiple choice question. The last line of your response should be of the following format: 'Answer: $LETTER' (without quotes) where LETTER is one of options. Provide the correct option directly.\nIdentify the class of the given ECG image.\nA. Brady(bradycardia)\nB. SAAWR(sinus atrium to atrial wandering rhythm)\nC. RVH(right ventricular hypertrophy)\nD. RAb(r wave abnormal)\nE. AP(atrial pacing pattern)\nF. AFL(atrial flutter)\nG. LAD(left axis deviation)\nH. IIs(inferior ischaemia)"},{"from":"gpt","value":"F. AFL(atrial flutter)"}]
|
csn-test-no-cot
|
../data/code15/preprocessed_2500/339405_0.npy
|
[{"from":"human","value":"Determine the appropriate class for the ECG image: 1dAVb(1st degree av block), RBBB(right bundle branch block), LBBB(left bundle branch block), SB(sinus bradycardia), ST(sinus tachycardia), AF(atrial fibrillation). The last line of your response should be of the following format: 'Answer: $CLASS(;CLASS)' (without quotes and separate multiple classes with a semicolon if any), where CLASS is one of the above candidate classes."},{"from":"gpt","value":"RBBB"}]
|
code15-test
|
../data/ptb_xl/preprocessed_2500/records500_17000_17309_hr_0.npy
|
[{"from":"human","value":"Given this ECG image, please answer the following question. From the provided options, select all that apply. List your selections, separated by commas.\nQuestion: Which diagnostic symptom is evident in this ECG, left ventricular hypertrophy or myocardial infarction in anteroseptal leads, but only if we discount ambiguous symptoms?\nOptions: left ventricular hypertrophy, none, myocardial infarction in anteroseptal leads\n\nOnly answer based on the given Options without any explanation."},{"from":"gpt","value":"left ventricular hypertrophy"}]
|
ecgqa-test
|
../data/csn/preprocessed_2500/JS43923_0.npy
|
[{"from":"human","value":"Answer the following multiple choice question. The last line of your response should be of the following format: 'Answer: $LETTER' (without quotes) where LETTER is one of options. Provide the correct option directly.\nIdentify the class of the given ECG image.\nA. LQT(prolonged qt interval)\nB. VEsB(ventricular escape beat)\nC. PR(pacing rhythm)\nD. CVCL/CCVCL(clockwise or counterclockwise vectorcardiographic loop)\nE. TPW(tall p wave)\nF. MI(myocardial infarction)\nG. WPW(wolff parkinson white pattern)\nH. STach(sinus tachycardia)"},{"from":"gpt","value":"H. STach(sinus tachycardia)"}]
|
csn-test-no-cot
|
../data/ptb_xl/preprocessed_2500/records500_17000_17577_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"NORM"}]
|
ptb-test
|
../data/ptb_xl/preprocessed_2500/records500_11000_11686_hr_0.npy
|
[{"from":"human","value":"Given this ECG image, please answer the following question. From the provided options, select all that apply. List your selections, separated by commas.\nQuestion: Does lead aVR exhibit any burst noise on this ECG?\nOptions: no, yes\n\nOnly answer based on the given Options without any explanation."},{"from":"gpt","value":"yes"}]
|
ecgqa-test
|
../data/csn/preprocessed_2500/JS16298_0.npy
|
[{"from":"human","value":"Answer the following multiple choice question. The last line of your response should be of the following format: 'Answer: $LETTER' (without quotes) where LETTER is one of options. Provide the correct option directly.\nWhat does this ECG reveal about the patient's heart condition?\nA. FB(fusion beats)\nB. AJR(accelerated junctional rhythm)\nC. VEB(ventricular ectopics)\nD. PAF(paroxysmal atrial fibrillation)\nE. CIAHB(congenital incomplete atrioventricular heart block)\nF. PSVT(paroxysmal supraventricular tachycardia)\nG. HTV(high t-voltage)\nH. AFL(atrial flutter)"},{"from":"gpt","value":"H. AFL(atrial flutter)"}]
|
csn-test-no-cot
|
../data/ptb_xl/preprocessed_2500/records500_18000_18140_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"CD;STTC"}]
|
ptb-test
|
../data/cpsc/preprocessed_2500/A4093_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"NORM"}]
|
cpsc-test
|
../data/ptb_xl/preprocessed_2500/records500_08000_08507_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"NORM"}]
|
ptb-test
|
../data/cpsc/preprocessed_2500/A1873_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"RBBB"}]
|
cpsc-test
|
../data/cpsc/preprocessed_2500/A6180_1.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"AF;RBBB"}]
|
cpsc-test
|
../data/code15/preprocessed_2500/4262159_0.npy
|
[{"from":"human","value":"Determine the appropriate class for the ECG image: 1dAVb(1st degree av block), RBBB(right bundle branch block), LBBB(left bundle branch block), SB(sinus bradycardia), ST(sinus tachycardia), AF(atrial fibrillation). The last line of your response should be of the following format: 'Answer: $CLASS(;CLASS)' (without quotes and separate multiple classes with a semicolon if any), where CLASS is one of the above candidate classes."},{"from":"gpt","value":"SB"}]
|
code15-test
|
../data/ptb_xl/preprocessed_2500/records500_09000_09791_hr_0.npy
|
[{"from":"human","value":"Write a diagnostic report for this ECG image."},{"from":"gpt","value":"Sinus rhythm. Prolonged PR interval. ST segments are depressed in leads I, V4, V5, and V6. T waves are low or flat in leads I and aVL, and slightly inverted in leads II, III, aVF, V5, and V6. This may be due to left ventricular strain or ischemia."}]
|
ptb-test-report
|
../data/csn/preprocessed_2500/JS01382_0.npy
|
[{"from":"human","value":"Answer the following multiple choice question. The last line of your response should be of the following format: 'Answer: $LETTER' (without quotes) where LETTER is one of options. Provide the correct option directly.\nWhat's the clinical interpretation of this electrocardiogram?\nA. ISTD(inferior ST segment depression)\nB. RAD(right axis deviation)\nC. MIs(myocardial ischemia)\nD. FB(fusion beats)\nE. IIAVB(2nd degree av block)\nF. SB(sinus bradycardia)\nG. LBBB(left bundle branch block)\nH. IRBBB(incomplete right bundle branch block)"},{"from":"gpt","value":"F. SB(sinus bradycardia)"}]
|
csn-test-no-cot
|
../data/ptb_xl/preprocessed_2500/records500_08000_08795_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"STTC"}]
|
ptb-test
|
../data/cpsc/preprocessed_2500/A6468_2.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"STE"}]
|
cpsc-test
|
../data/code15/preprocessed_2500/961992_0.npy
|
[{"from":"human","value":"Determine the appropriate class for the ECG image: 1dAVb(1st degree av block), RBBB(right bundle branch block), LBBB(left bundle branch block), SB(sinus bradycardia), ST(sinus tachycardia), AF(atrial fibrillation). The last line of your response should be of the following format: 'Answer: $CLASS(;CLASS)' (without quotes and separate multiple classes with a semicolon if any), where CLASS is one of the above candidate classes."},{"from":"gpt","value":"ST"}]
|
code15-test
|
../data/ptb_xl/preprocessed_2500/records500_16000_16707_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"STTC"}]
|
ptb-test
|
../data/ptb_xl/preprocessed_2500/records500_08000_08501_hr_0.npy
|
[{"from":"human","value":"Given this ECG image, please answer the following question. From the provided options, select all that apply. List your selections, separated by commas.\nQuestion: Could you identify the form-related features shown by this ECG in lead V4?\nOptions: non-specific st elevation, low qrs voltages in the frontal and horizontal leads, non-specific t-wave changes, inverted t-waves, low amplitude t-wave, none, non-diagnostic t abnormalities, high qrs voltage\n\nOnly answer based on the given Options without any explanation."},{"from":"gpt","value":"non-specific t-wave changes"}]
|
ecgqa-test
|
../data/cpsc/preprocessed_2500/A3329_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"I-AVB"}]
|
cpsc-test
|
../data/code15/preprocessed_2500/1029415_0.npy
|
[{"from":"human","value":"Determine the appropriate class for the ECG image: 1dAVb(1st degree av block), RBBB(right bundle branch block), LBBB(left bundle branch block), SB(sinus bradycardia), ST(sinus tachycardia), AF(atrial fibrillation). The last line of your response should be of the following format: 'Answer: $CLASS(;CLASS)' (without quotes and separate multiple classes with a semicolon if any), where CLASS is one of the above candidate classes."},{"from":"gpt","value":"ST"}]
|
code15-test
|
../data/ptb_xl/preprocessed_2500/records500_00000_00958_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"NORM"}]
|
ptb-test
|
../data/ptb_xl/preprocessed_2500/records500_09000_09953_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"MI"}]
|
ptb-test
|
../data/cpsc/preprocessed_2500/A2625_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"PVC;STD"}]
|
cpsc-test
|
../data/code15/preprocessed_2500/3192659_0.npy
|
[{"from":"human","value":"Identify whether the ECG image indicates a normal or abnormal reading. Output should be NORM or ABNORMAL."},{"from":"gpt","value":"ABNORMAL"}]
|
code15-test
|
../data/code15/preprocessed_2500/826432_0.npy
|
[{"from":"human","value":"Determine the appropriate class for the ECG image: 1dAVb(1st degree av block), RBBB(right bundle branch block), LBBB(left bundle branch block), SB(sinus bradycardia), ST(sinus tachycardia), AF(atrial fibrillation). The last line of your response should be of the following format: 'Answer: $CLASS(;CLASS)' (without quotes and separate multiple classes with a semicolon if any), where CLASS is one of the above candidate classes."},{"from":"gpt","value":"SB"}]
|
code15-test
|
../data/csn/preprocessed_2500/JS37054_0.npy
|
[{"from":"human","value":"Answer the following multiple choice question. The last line of your response should be of the following format: 'Answer: $LETTER' (without quotes) where LETTER is one of options. Provide the correct option directly.\nSelect the diagnosis that best fits the ECG image.\nA. NSR(sinus rhythm)\nB. VFL(ventricular flutter)\nC. AnMIs(anterior ischemia)\nD. PAC(premature atrial contraction)\nE. AMIs(acute myocardial ischemia)\nF. STE(st elevation)\nG. AVJR(atrioventricular junctional rhythm)\nH. LAE(left atrial enlargement)"},{"from":"gpt","value":"A. NSR(sinus rhythm)"}]
|
csn-test-no-cot
|
../data/cpsc/preprocessed_2500/A5001_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"STD"}]
|
cpsc-test
|
../data/ptb_xl/preprocessed_2500/records500_06000_06192_hr_0.npy
|
[{"from":"human","value":"Write a diagnostic report for this ECG image."},{"from":"gpt","value":"Sinus rhythm, normal axis, nonspecific abnormal T."}]
|
ptb-test-report
|
../data/ptb_xl/preprocessed_2500/records500_19000_19053_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"MI"}]
|
ptb-test
|
../data/code15/preprocessed_2500/706874_0.npy
|
[{"from":"human","value":"Determine the appropriate class for the ECG image: 1dAVb(1st degree av block), RBBB(right bundle branch block), LBBB(left bundle branch block), SB(sinus bradycardia), ST(sinus tachycardia), AF(atrial fibrillation). The last line of your response should be of the following format: 'Answer: $CLASS(;CLASS)' (without quotes and separate multiple classes with a semicolon if any), where CLASS is one of the above candidate classes."},{"from":"gpt","value":"ST"}]
|
code15-test
|
../data/code15/preprocessed_2500/616340_0.npy
|
[{"from":"human","value":"Determine the appropriate class for the ECG image: 1dAVb(1st degree av block), RBBB(right bundle branch block), LBBB(left bundle branch block), SB(sinus bradycardia), ST(sinus tachycardia), AF(atrial fibrillation). The last line of your response should be of the following format: 'Answer: $CLASS(;CLASS)' (without quotes and separate multiple classes with a semicolon if any), where CLASS is one of the above candidate classes."},{"from":"gpt","value":"AF"}]
|
code15-test
|
../data/cpsc/preprocessed_2500/A1250_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"PAC"}]
|
cpsc-test
|
../data/cpsc/preprocessed_2500/A4139_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"AF"}]
|
cpsc-test
|
../data/cpsc/preprocessed_2500/A5353_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"AF"}]
|
cpsc-test
|
../data/ptb_xl/preprocessed_2500/records500_20000_20831_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"NORM"}]
|
ptb-test
|
../data/cpsc/preprocessed_2500/A3539_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"STE"}]
|
cpsc-test
|
../data/ptb_xl/preprocessed_2500/records500_18000_18777_hr_0.npy
|
[{"from":"human","value":"Given this ECG image, please answer the following question. From the provided options, select all that apply. List your selections, separated by commas.\nQuestion: In this ECG, which leads are exhibiting static noise?\nOptions: lead V5, lead I, lead V2, lead V6, lead V4, lead V1, lead aVL, lead V3, lead III, lead aVF, none, lead II, lead aVR\n\nOnly answer based on the given Options without any explanation."},{"from":"gpt","value":"lead Ilead IIlead IIIlead aVRlead aVLlead aVFlead V1lead V2lead V3lead V4lead V5lead V6"}]
|
ecgqa-test
|
../data/ptb_xl/preprocessed_2500/records500_06000_06131_hr_0.npy
|
[{"from":"human","value":"Given this ECG image, please answer the following question. From the provided options, select all that apply. List your selections, separated by commas.\nQuestion: Which numeric features of this ECG are within the normal range?\nOptions: pr interval, p duration, qt interval, within the normal range of qt interval, qrs duration, qt corrected, rr interval, within the normal range of rr interval\n\nOnly answer based on the given Options without any explanation."},{"from":"gpt","value":"rr intervalqrs durationqt intervalp durationqt correctedpr interval"}]
|
ecgqa-test
|
../data/cpsc/preprocessed_2500/A4638_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"RBBB"}]
|
cpsc-test
|
../data/cpsc/preprocessed_2500/A5133_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"NORM"}]
|
cpsc-test
|
../data/cpsc/preprocessed_2500/A2503_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"AF;RBBB"}]
|
cpsc-test
|
../data/ptb_xl/preprocessed_2500/records500_01000_01769_hr_0.npy
|
[{"from":"human","value":"Given this ECG image, please answer the following question. From the provided options, select all that apply. List your selections, separated by commas.\nQuestion: What are the symptoms of diagnosis present in this ECG, including those that are uncertain?\nOptions: left anterior fascicular block, myocardial infarction in lateral leads, ischemic in inferior leads, non-diagnostic t abnormalities, myocardial infarction in inferior leads, non-specific st changes, subendocardial injury in anteroseptal leads, subendocardial injury in inferior leads\n\nOnly answer based on the given Options without any explanation."},{"from":"gpt","value":"myocardial infarction in inferior leads"}]
|
ecgqa-test
|
../data/ptb_xl/preprocessed_2500/records500_14000_14026_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"HYP;STTC"}]
|
ptb-test
|
../data/csn/preprocessed_2500/JS01355_0.npy
|
[{"from":"human","value":"Answer the following multiple choice question. The last line of your response should be of the following format: 'Answer: $LETTER' (without quotes) where LETTER is one of options. Provide the correct option directly.\nFind the appropriate class for the ECG image:\nA. RAb(r wave abnormal), PR(pacing rhythm), LAD(left axis deviation)\nB. LAD(left axis deviation), ARH(atrial rhythm), FB(fusion beats)\nC. LAD(left axis deviation), RBBB(right bundle branch block), TAb(t wave abnormal)\nD. IIAVB(2nd degree av block), AVD(atrioventricular dissociation), PR(pacing rhythm)\nE. AF(atrial fibrillation), IIAVB(2nd degree av block), TAb(t wave abnormal)\nF. RAb(r wave abnormal), LAD(left axis deviation), LAnFB(left anterior fascicular block)\nG. RAb(r wave abnormal), VF(ventricular fibrillation), OldMI(old myocardial infarction)\nH. CR(clockwise rotation), PR(pacing rhythm), RAb(r wave abnormal)"},{"from":"gpt","value":"E. AF(atrial fibrillation), IIAVB(2nd degree av block), TAb(t wave abnormal)"}]
|
csn-test-no-cot
|
../data/ptb_xl/preprocessed_2500/records500_03000_03579_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"MI"}]
|
ptb-test
|
../data/cpsc/preprocessed_2500/A4326_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"RBBB"}]
|
cpsc-test
|
../data/cpsc/preprocessed_2500/A5826_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"I-AVB"}]
|
cpsc-test
|
../data/ptb_xl/preprocessed_2500/records500_00000_00162_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"CD;HYP;STTC;MI"}]
|
ptb-test
|
../data/cpsc/preprocessed_2500/A5991_1.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"NORM"}]
|
cpsc-test
|
../data/ptb_xl/preprocessed_2500/records500_07000_07414_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"CD;NORM"}]
|
ptb-test
|
../data/code15/preprocessed_2500/313104_0.npy
|
[{"from":"human","value":"Determine the appropriate class for the ECG image: 1dAVb(1st degree av block), RBBB(right bundle branch block), LBBB(left bundle branch block), SB(sinus bradycardia), ST(sinus tachycardia), AF(atrial fibrillation). The last line of your response should be of the following format: 'Answer: $CLASS(;CLASS)' (without quotes and separate multiple classes with a semicolon if any), where CLASS is one of the above candidate classes."},{"from":"gpt","value":"RBBB"}]
|
code15-test
|
../data/csn/preprocessed_2500/JS15257_0.npy
|
[{"from":"human","value":"Answer the following multiple choice question. The last line of your response should be of the following format: 'Answer: $LETTER' (without quotes) where LETTER is one of options. Provide the correct option directly.\nAssign the ECG image to its correct class.\nA. BBB(bundle branch block)\nB. PAC(premature atrial contraction)\nC. QAb(qwave abnormal)\nD. AFL(atrial flutter)\nE. AVB(av block)\nF. PVC(premature ventricular contractions)\nG. NSR(sinus rhythm)\nH. CHB(complete heart block)"},{"from":"gpt","value":"D. AFL(atrial flutter)"}]
|
csn-test-no-cot
|
../data/ptb_xl/preprocessed_2500/records500_18000_18017_hr_0.npy
|
[{"from":"human","value":"Given this ECG image, please answer the following question. From the provided options, select all that apply. List your selections, separated by commas.\nQuestion: Does this ECG reveal symptoms of non-specific t-wave changes in lead III?\nOptions: no, yes\n\nOnly answer based on the given Options without any explanation."},{"from":"gpt","value":"no"}]
|
ecgqa-test
|
../data/csn/preprocessed_2500/JS10185_0.npy
|
[{"from":"human","value":"Answer the following multiple choice question. The last line of your response should be of the following format: 'Answer: $LETTER' (without quotes) where LETTER is one of options. Provide the correct option directly.\nPlace the ECG image into the right classes.\nA. MIs(myocardial ischemia), STE(st elevation), BBB(bundle branch block), TPW(tall p wave)\nB. VF(ventricular fibrillation), UAb(u wave abnormal), NSIVCB(nonspecific intraventricular conduction disorder), TPW(tall p wave)\nC. TPW(tall p wave), VFL(ventricular flutter), SVT(supraventricular tachycardia), STE(st elevation)\nD. LVS(left ventricular strain), JTach(junctional tachycardia), LBBB(left bundle branch block), LAH(left atrial hypertrophy)\nE. SVT(supraventricular tachycardia), LAD(left axis deviation), NSIVCB(nonspecific intraventricular conduction disorder), TAb(t wave abnormal)\nF. SVT(supraventricular tachycardia), LAD(left axis deviation), LBBB(left bundle branch block), ISTD(inferior ST segment depression)\nG. SVT(supraventricular tachycardia), LAD(left axis deviation), NSIVCB(nonspecific intraventricular conduction disorder), AJR(accelerated junctional rhythm)\nH. TPW(tall p wave), RAb(r wave abnormal), BBB(bundle branch block), SVT(supraventricular tachycardia)"},{"from":"gpt","value":"E. SVT(supraventricular tachycardia), LAD(left axis deviation), NSIVCB(nonspecific intraventricular conduction disorder), TAb(t wave abnormal)"}]
|
csn-test-no-cot
|
../data/cpsc/preprocessed_2500/A0665_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"NORM"}]
|
cpsc-test
|
../data/ptb_xl/preprocessed_2500/records500_04000_04335_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"HYP;STTC"}]
|
ptb-test
|
../data/csn/preprocessed_2500/JS27777_0.npy
|
[{"from":"human","value":"Answer the following multiple choice question. The last line of your response should be of the following format: 'Answer: $LETTER' (without quotes) where LETTER is one of options. Provide the correct option directly.\nIdentify the class of the given ECG image.\nA. AH(atrial hypertrophy)\nB. CCR(countercolockwise rotation)\nC. RAD(right axis deviation)\nD. AIVR(accelerated idioventricular rhythm)\nE. IR(idioventricular rhythm)\nF. SB(sinus bradycardia)\nG. CHD(coronary heart disease)\nH. VTrig(ventricular trigeminy)"},{"from":"gpt","value":"F. SB(sinus bradycardia)"}]
|
csn-test-no-cot
|
../data/cpsc/preprocessed_2500/A0855_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"PAC"}]
|
cpsc-test
|
../data/cpsc/preprocessed_2500/A0634_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"NORM"}]
|
cpsc-test
|
../data/ptb_xl/preprocessed_2500/records500_10000_10878_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"CD;MI"}]
|
ptb-test
|
../data/ptb_xl/preprocessed_2500/records500_03000_03909_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"NORM"}]
|
ptb-test
|
../data/ptb_xl/preprocessed_2500/records500_00000_00534_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"HYP;STTC"}]
|
ptb-test
|
../data/code15/preprocessed_2500/1895827_0.npy
|
[{"from":"human","value":"Determine the classification of the ECG image: normal or abnormal. Provide NORM or ABNORMAL."},{"from":"gpt","value":"ABNORMAL"}]
|
code15-test
|
../data/ptb_xl/preprocessed_2500/records500_20000_20966_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"CD"}]
|
ptb-test
|
../data/ptb_xl/preprocessed_2500/records500_07000_07069_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"NORM"}]
|
ptb-test
|
../data/ptb_xl/preprocessed_2500/records500_03000_03712_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"NORM"}]
|
ptb-test
|
../data/ptb_xl/preprocessed_2500/records500_12000_12310_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"NORM"}]
|
ptb-test
|
../data/cpsc/preprocessed_2500/A3013_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"STD"}]
|
cpsc-test
|
../data/cpsc/preprocessed_2500/A3103_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"PVC"}]
|
cpsc-test
|
../data/ptb_xl/preprocessed_2500/records500_20000_20100_hr_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM: Normal ECG\nMI: Myocardial Infarction\nSTTC: ST/T Change\nCD: Conduction Disturbance\nHYP: Hypertrophy. Directly output the class name and separate with a semicolon."},{"from":"gpt","value":"CD"}]
|
ptb-test
|
../data/cpsc/preprocessed_2500/A6032_0.npy
|
[{"from":"human","value":"You are provided with an ECG signal image. Please classify the ECG image into the following diagnostic statement classes:\nNORM(Normal ECG), AF(Atrial fibrillation), I-AVB(First-degree atrioventricular block), LBBB(Left bundle branch block), RBBB(Right bundle branch block), PAC(Premature atrial contraction), PVC(Premature ventricular contraction), STD(ST-segment depression), STE(ST-segment elevated)\nDirectly output the class name and separate with a semicolon."},{"from":"gpt","value":"I-AVB"}]
|
cpsc-test
|
End of preview. Expand
in Data Studio
Dataset Details
This is a randomly split five fold dataset of the ECG-Bench Pulse dataset stratified based on patients (i.e., zero patient overlap between training and test).
The name of the dataset repository is ecg-bench-pulse-250-2500 where 250 refers to the sampling frequency and 2500 denotes 10 seconds.
The code to do the splitting is here.
Any questions or issues, please do not hesitate to reach out to the maintainer of ECG-Bench.
- Downloads last month
- 18