question_id stringlengths 15 42 | curator stringclasses 4
values | dataset_source stringclasses 21
values | question_type stringclasses 7
values | sub_question_type stringclasses 8
values | disease stringclasses 56
values | question stringclasses 830
values | image stringlengths 18 67 | answer stringlengths 1 37 | disease_category stringclasses 19
values | original_images unknown | images listlengths 1 4 ⌀ | target_short_side_px float64 0 237 ⌀ | scale_to_448 float64 0.21 0.37 ⌀ | size_bin stringclasses 3
values | original_image stringlengths 36 115 ⌀ | options dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
LanZiyun_DeepDRiD_014906 | Lan Ziyun | DeepDRiD | ranking | 1c | diabetic retinopathy | Based on the severity of diabetic retinopathy, sort the images in <image> from mildest to most severe. Your answer should be a four-letter sequence representing the sorted order (e.g., 'DBAC'). | dataset/DeepDRiD/merge_dr_012914.jpg | ABCD | diabetic_retinopathy | {
"A": "dataset_raw/DeepDRiD/167_l3.jpg",
"B": "dataset_raw/DeepDRiD/159_r2.jpg",
"C": "dataset_raw/DeepDRiD/249_r2.jpg",
"D": "dataset_raw/DeepDRiD/56_l3.jpg"
} | [
"dataset/DeepDRiD/167_l3.jpg",
"dataset/DeepDRiD/159_r2.jpg",
"dataset/DeepDRiD/249_r2.jpg",
"dataset/DeepDRiD/56_l3.jpg"
] | null | null | null | null | null |
LanZiyun_MMAC_002887 | Lan Ziyun | MMAC | judgement | 2a | myopic maculopathy | Does the fundus image <image> show signs of myopic maculopathy (grade > 0)? Please answer with 'Yes' or 'No'. | dataset/MMAC/mmac_task_1_train_0729.jpg | No | pathological_myopia | {
"S": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_0729.png"
} | null | null | null | null | dataset_raw/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_0729.png | null |
Xuechun_PALM_002929 | Xuechun | PALM | localization | 1 | pathological_myopia | Based on the provided fundus image <image>, identify the center point of the macula. Please output only one point in the format [x,y] (e.g., [0.214,0.176]), using normalized coordinates between 0 and 1 where x represents the horizontal axis (0=left edge, 1=right edge) and y represents the vertical axis (0=top edge, 1=b... | dataset/PALM/1112.jpg | [0.487818,0.536291] | pathological_myopia | {
"S": "dataset_raw/PALM/Validation/Validation-400/V0312.jpg"
} | [
"dataset/PALM/1112.jpg"
] | 0 | 0.211122 | small | null | null |
LanZiyun_MMAC_001210 | Lan Ziyun | MMAC | ranking | 1a | myopic maculopathy | Based on the composite image <image>, rank the images from the least severe to the most severe myopic maculopathy. Please output the answer as a string of option letters (e.g., ABCD). | dataset/MMAC/merge_mmac_rank_001210.jpg | BADC | pathological_myopia | {
"A": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_1029.png",
"B": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_0877.png",
"C": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. ... | null | null | null | null | null | null |
Xuechun_PALM_000334 | Xuechun | PALM | single_choice | 3b | pathological_myopia | Based on the composite image <image>, which option contains abnormal fundus findings consistent with pathological myopia? Please output only the option letter (e.g., A, B, C, D), without any other explanation, punctuation, or text. | dataset/PALM/merge_406_610_918_983.jpg | B | pathological_myopia | {
"A": "dataset_raw/PALM/Test/PALM-Testing400-Images/T0006.jpg",
"B": "dataset_raw/PALM/Test/PALM-Testing400-Images/T0210.jpg",
"C": "dataset_raw/PALM/Validation/Validation-400/V0118.jpg",
"D": "dataset_raw/PALM/Validation/Validation-400/V0183.jpg"
} | [
"dataset/PALM/406.jpg",
"dataset/PALM/610.jpg",
"dataset/PALM/918.jpg",
"dataset/PALM/983.jpg"
] | null | null | null | null | null |
LanZiyun_DeepDRiD_014473 | Lan Ziyun | DeepDRiD | ranking | 2b | diabetic retinopathy | Arrange the images in <image> in ascending order of artifact presence, from fewest artifacts to most. Your answer should be a four-letter sequence representing the sorted order (e.g., 'DBAC'). | dataset/DeepDRiD/merge_dr_012539.jpg | ABDC | diabetic_retinopathy | {
"A": "dataset_raw/DeepDRiD/105_r1.jpg",
"B": "dataset_raw/DeepDRiD/242_r1.jpg",
"C": "dataset_raw/DeepDRiD/76_l1.jpg",
"D": "dataset_raw/DeepDRiD/223_l1.jpg"
} | [
"dataset/DeepDRiD/105_r1.jpg",
"dataset/DeepDRiD/242_r1.jpg",
"dataset/DeepDRiD/76_l1.jpg",
"dataset/DeepDRiD/223_l1.jpg"
] | null | null | null | null | null |
Xuechun_JICHI_005143 | Xuechun | JICHI | multiple_response | 1a | diabetic_retinopathy | Based on the provided composite image <image> containing four options (A, B, C, and D), select all images that show diabetic retinopathy. Please note that this question may have single or multiple correct answers. Select one or more options from A, B, C, and D, and provide your answer using only the option letter or le... | dataset/JICHI/dmr/711_1_R.jpg | B | diabetic_retinopathy | {
"A": "dataset_raw/JICHI/dmr/711_1_R.jpg",
"B": "dataset_raw/JICHI/dmr/1713_3_L.jpg",
"C": "dataset_raw/JICHI/dmr/2683_3_R.jpg",
"D": "dataset_raw/JICHI/dmr/182_3_L.jpg"
} | [
"dataset/JICHI/dmr/711_1_R.jpg",
"dataset/JICHI/dmr/1713_3_L.jpg",
"dataset/JICHI/dmr/2683_3_R.jpg",
"dataset/JICHI/dmr/182_3_L.jpg"
] | null | null | null | null | null |
LanZiyun_DeepDRiD_010734 | Lan Ziyun | DeepDRiD | ranking | 1a | diabetic retinopathy | Please rank the four fundus images in <image> from the least severe to the most severe based on the grading of diabetic retinopathy. Your answer should be a four-letter sequence representing the sorted order (e.g., 'DBAC'). | dataset/DeepDRiD/merge_dr_009298.jpg | BACD | diabetic_retinopathy | {
"A": "dataset_raw/DeepDRiD/151_l1.jpg",
"B": "dataset_raw/DeepDRiD/180_l2.jpg",
"C": "dataset_raw/DeepDRiD/77_r3.jpg",
"D": "dataset_raw/DeepDRiD/77_l4.jpg"
} | [
"dataset/DeepDRiD/151_l1.jpg",
"dataset/DeepDRiD/180_l2.jpg",
"dataset/DeepDRiD/77_r3.jpg",
"dataset/DeepDRiD/77_l4.jpg"
] | null | null | null | null | null |
Xuechun_EYEPACS_035676 | Xuechun | EYEPACS | judgement | 2a | diabetic_retinopathy | Does the fundus image <image> show evidence of diabetic retinopathy? You must output only Yes or No, without any other explanation, punctuation, or text. | dataset/EYEPACS/25679.jpg | Yes | diabetic_retinopathy | {
"S": "dataset_raw/EYEPACS/train/39232_left.jpeg"
} | [
"dataset/EYEPACS/25679.jpg"
] | null | null | null | null | null |
LanZiyun_ACRIMA_3187 | Lan Ziyun | ACRIMA | multiple_response | 1a | glaucoma | Based on the provided composite image <image> containing four options (A, B, C, and D), select all images that show glaucoma. Please note that this question may have single or multiple correct answers. Select one or more options from A, B, C, and D, and provide your answer using only the option letter or letters (e.g.,... | dataset/ACRIMA/merge_acrima_3187.jpg | ABC | glaucoma | {
"A": "dataset_raw/ACRIMA/Im640_g_ACRIMA.jpg",
"B": "dataset_raw/ACRIMA/Im571_g_ACRIMA.jpg",
"C": "dataset_raw/ACRIMA/Im425_g_ACRIMA.jpg",
"D": "dataset_raw/ACRIMA/Im037_ACRIMA.jpg"
} | [
"dataset/ACRIMA/45.jpg",
"dataset/ACRIMA/367.jpg",
"dataset/ACRIMA/245.jpg",
"dataset/ACRIMA/491.jpg"
] | null | null | null | null | null |
Xuechun_PALM_004177 | Xuechun | PALM | bounding_box | 1a | pathological_myopia | Based on the provided fundus image <image>, identify the bounding box of the largest region showing atrophy. Please output only one bounding box in the format [x_min,y_min,x_max,y_max] (e.g., [0.214,0.176,0.652,0.731]), using normalized coordinates between 0 and 1. In this format, 'x' represents the horizontal axis (0=... | dataset/PALM/670.jpg | [0.121583,0.286051,0.328935,0.517908] | pathological_myopia | {
"S": "dataset_raw/PALM/Test/PALM-Testing400-Images/T0270.jpg"
} | [
"dataset/PALM/670.jpg"
] | 92.893 | 0.211122 | large | null | null |
LanZiyun_ACRIMA_3032 | Lan Ziyun | ACRIMA | multiple_response | 1a | glaucoma | Based on the provided composite image <image> containing four options (A, B, C, and D), select all images that show glaucoma. Please note that this question may have single or multiple correct answers. Select one or more options from A, B, C, and D, and provide your answer using only the option letter or letters (e.g.,... | dataset/ACRIMA/merge_acrima_3032.jpg | A | glaucoma | {
"A": "dataset_raw/ACRIMA/Im392_g_ACRIMA.jpg",
"B": "dataset_raw/ACRIMA/Im304_ACRIMA.jpg",
"C": "dataset_raw/ACRIMA/Im286_ACRIMA.jpg",
"D": "dataset_raw/ACRIMA/Im006_ACRIMA.jpg"
} | [
"dataset/ACRIMA/212.jpg",
"dataset/ACRIMA/702.jpg",
"dataset/ACRIMA/134.jpg",
"dataset/ACRIMA/472.jpg"
] | null | null | null | null | null |
LanZiyun_ACRIMA_0733 | Lan Ziyun | ACRIMA | single_choice | 3b | glaucoma | Based on the composite image <image>, which option contains abnormal fundus findings consistent with glaucoma? Please output only the option letter (e.g., A, B, C, D), without any other explanation, punctuation, or text. | dataset/ACRIMA/merge_acrima_0733.jpg | D | glaucoma | {
"A": "dataset_raw/ACRIMA/Im258_ACRIMA.jpg",
"B": "dataset_raw/ACRIMA/Im193_ACRIMA.jpg",
"C": "dataset_raw/ACRIMA/Im016_ACRIMA.jpg",
"D": "dataset_raw/ACRIMA/Im483_g_ACRIMA.jpg"
} | [
"dataset/ACRIMA/670.jpg",
"dataset/ACRIMA/103.jpg",
"dataset/ACRIMA/74.jpg",
"dataset/ACRIMA/28.jpg"
] | null | null | null | null | null |
Xuechun_JICHI_005986 | Xuechun | JICHI | fixed_multiple_choice | 1b | diabetic_retinopathy | From options A, B, C, and D in <image>, select all fundus images that show signs of diabetic retinopathy. Please note that this question has multiple correct answers. Select two or more options from A, B, C, and D, and provide your answer using only the option letters (e.g., ABD), without spaces, explanation, commas, o... | dataset/JICHI/dmr/1713_1_R.jpg | AC | diabetic_retinopathy | {
"A": "dataset_raw/JICHI/dmr/1713_1_R.jpg",
"B": "dataset_raw/JICHI/dmr/576_2_L.jpg",
"C": "dataset_raw/JICHI/dmr/710_5_L.jpg",
"D": "dataset_raw/JICHI/dmr/1192_6_R.jpg"
} | [
"dataset/JICHI/dmr/1713_1_R.jpg",
"dataset/JICHI/dmr/576_2_L.jpg",
"dataset/JICHI/dmr/710_5_L.jpg",
"dataset/JICHI/dmr/1192_6_R.jpg"
] | null | null | null | null | null |
Xuechun_AIROGS_002594 | Xuechun | AIROGS | single_choice | 3b | glaucoma | Based on the composite image <image>, which option contains abnormal fundus findings consistent with referable glaucoma? Please output only the option letter (e.g., A, B, C, D), without any other explanation, punctuation, or text. | dataset/AIROGS/4/TRAIN074091.jpg | B | glaucoma | {
"A": "dataset_raw/AIROGS/4/TRAIN074091.jpg",
"B": "dataset_raw/AIROGS/1/TRAIN024009.jpg",
"C": "dataset_raw/AIROGS/0/TRAIN013881.jpg",
"D": "dataset_raw/AIROGS/2/TRAIN039176.jpg"
} | [
"dataset/AIROGS/4/TRAIN074091.jpg",
"dataset/AIROGS/1/TRAIN024009.jpg",
"dataset/AIROGS/0/TRAIN013881.jpg",
"dataset/AIROGS/2/TRAIN039176.jpg"
] | null | null | null | null | null |
Xuechun_PALM_002393 | Xuechun | PALM | localization | 1 | pathological_myopia | Based on the provided fundus image <image>, identify the center point of the macula. Please output only one point in the format [x,y] (e.g., [0.214,0.176]), using normalized coordinates between 0 and 1 where x represents the horizontal axis (0=left edge, 1=right edge) and y represents the vertical axis (0=top edge, 1=b... | dataset/PALM/572.jpg | [0.588525,0.481065] | pathological_myopia | {
"S": "dataset_raw/PALM/Test/PALM-Testing400-Images/T0172.jpg"
} | [
"dataset/PALM/572.jpg"
] | 0 | 0.211122 | small | null | null |
Xuechun_PARAGUAY_0059 | Xuechun | PARAGUAY | ranking | 1c | diabetic_retinopathy | Based on the provided composite image <image>, rank the four fundus images from the lowest to the highest diabetic retinopathy grade. Please output only the option letters in the requested order, separated by commas (e.g., B,A,D,C), without spaces, explanation, punctuation other than commas, or any additional text. | dataset/PARAGUAY/merge_1356_28_1109_764.jpg | B,D,C,A | diabetic_retinopathy | {
"A": "dataset_raw/PARAGUAY/7. Advanced PDR/1356.jpg",
"B": "dataset_raw/PARAGUAY/1. No DR signs/123.jpg",
"C": "dataset_raw/PARAGUAY/5. Very Severe NPDR/1109.jpg",
"D": "dataset_raw/PARAGUAY/3. Moderate NPDR/764.jpg"
} | [
"dataset/PARAGUAY/1356.jpg",
"dataset/PARAGUAY/28.jpg",
"dataset/PARAGUAY/1109.jpg",
"dataset/PARAGUAY/764.jpg"
] | null | null | null | null | null |
Xuechun_ADAM_002849 | Xuechun | ADAM | localization | 1 | age_related_macular_degeneration | Based on the provided fundus image <image>, identify the center point of the macula. Please output only one point in the format [x,y] (e.g., [0.214,0.176]), using normalized coordinates between 0 and 1 where x represents the horizontal axis (0=left edge, 1=right edge) and y represents the vertical axis (0=top edge, 1=b... | dataset/ADAM/681.jpg | [0.525226,0.510613] | macular_disease | {
"S": "dataset_raw/ADAM/Test/Test-image-400/T0281.jpg"
} | [
"dataset/ADAM/681.jpg"
] | 0 | 0.211122 | small | null | null |
Xuechun_ADAM_001405 | Xuechun | ADAM | judgement | 2a | age_related_macular_degeneration | Does the fundus image <image> show evidence of age-related macular degeneration? You must output only Yes or No, without any other explanation, punctuation, or text. | dataset/ADAM/520.jpg | Yes | macular_disease | {
"S": "dataset_raw/ADAM/Test/Test-image-400/T0120.jpg"
} | [
"dataset/ADAM/520.jpg"
] | null | null | null | null | null |
Xuechun_ADAM_002320 | Xuechun | ADAM | localization | 1 | age_related_macular_degeneration | Based on the provided fundus image <image>, identify the center point of the macula. Please output only one point in the format [x,y] (e.g., [0.214,0.176]), using normalized coordinates between 0 and 1 where x represents the horizontal axis (0=left edge, 1=right edge) and y represents the vertical axis (0=top edge, 1=b... | dataset/ADAM/142.jpg | [0.512693,0.377093] | macular_disease | {
"S": "dataset_raw/ADAM/Train/Training-image-400/Non-AMD/N0053.jpg"
} | [
"dataset/ADAM/142.jpg"
] | 0 | 0.211122 | small | null | null |
Xuechun_JICHI_008152 | Xuechun | JICHI | fixed_multiple_choice | 1a | diabetic_retinopathy | Based on the provided composite image <image> containing four options (A, B, C, and D), select all images that show diabetic retinopathy. Please note that this question has multiple correct answers. Select two or more options from A, B, C, and D, and provide your answer using only the option letters (e.g., ABD), withou... | dataset/JICHI/dmr/1195_6_L.jpg | AC | diabetic_retinopathy | {
"A": "dataset_raw/JICHI/dmr/1195_6_L.jpg",
"B": "dataset_raw/JICHI/dmr/512_11_L.jpg",
"C": "dataset_raw/JICHI/dmr/1727_2_L.jpg",
"D": "dataset_raw/JICHI/dmr/1289_1_R.jpg"
} | [
"dataset/JICHI/dmr/1195_6_L.jpg",
"dataset/JICHI/dmr/512_11_L.jpg",
"dataset/JICHI/dmr/1727_2_L.jpg",
"dataset/JICHI/dmr/1289_1_R.jpg"
] | null | null | null | null | null |
Xuechun_AIROGS_017314 | Xuechun | AIROGS | judgement | 2b | glaucoma | The provided fundus image <image> shows the findings described below: referable glaucoma? You must output only Yes or No, without any other explanation, punctuation, or text. | dataset/AIROGS/19617.jpg | No | glaucoma | {
"S": "dataset_raw/AIROGS/1/TRAIN019616.jpg"
} | [
"dataset/AIROGS/19617.jpg"
] | null | null | null | null | null |
Xuechun_ADAM_003889 | Xuechun | ADAM | bounding_box | 2a | optic_disc | Based on the provided fundus image <image>, identify the bounding box of the optic disc. Please output only one bounding box in the format [x_min,y_min,x_max,y_max] (e.g., [0.214,0.176,0.652,0.731]), using normalized coordinates between 0 and 1. In this format, 'x' represents the horizontal axis (0=left edge, 1=right e... | dataset/ADAM/501.jpg | [0.030631,0.401979,0.179548,0.580584] | other | {
"S": "dataset_raw/ADAM/Test/Test-image-400/T0101.jpg"
} | [
"dataset/ADAM/501.jpg"
] | 66.714 | 0.211122 | large | null | null |
Xuechun_JICHI_001283 | Xuechun | JICHI | single_choice | 1a | diabetic_retinopathy | Based on the provided composite image <image> containing four options (A, B, C, and D), select the image that shows the most severe diabetic retinopathy. Please output only the option letter (e.g., A, B, C, D), without any other explanation, punctuation, or text. | dataset/JICHI/dmr/1569_1_R.jpg | C | diabetic_retinopathy | {
"A": "dataset_raw/JICHI/dmr/1569_1_R.jpg",
"B": "dataset_raw/JICHI/dmr/914_8_R.jpg",
"C": "dataset_raw/JICHI/dmr/1290_6_R.jpg",
"D": "dataset_raw/JICHI/dmr/1585_2_L.jpg"
} | [
"dataset/JICHI/dmr/1569_1_R.jpg",
"dataset/JICHI/dmr/914_8_R.jpg",
"dataset/JICHI/dmr/1290_6_R.jpg",
"dataset/JICHI/dmr/1585_2_L.jpg"
] | null | null | null | null | null |
LanZiyun_MMAC_003228 | Lan Ziyun | MMAC | multiple_response | 1a | myopic maculopathy | From options A, B, C, and D in <image>, select all fundus images that show signs of myopic maculopathy (grade > 0). Please provide your answer using only the option letters (e.g., B or ABD). | dataset/MMAC/merge_mmac_mr_003228.jpg | CD | pathological_myopia | {
"A": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_0493.png",
"B": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_0814.png",
"C": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. ... | null | null | null | null | null | null |
Xuechun_ADAM_000535 | Xuechun | ADAM | fixed_multiple_choice | 1b | age_related_macular_degeneration | From options A, B, C, and D in <image>, select all fundus images that show signs of age-related macular degeneration. Please note that this question has multiple correct answers. Select two or more options from A, B, C, and D, and provide your answer using only the option letters (e.g., ABD), without spaces, explanatio... | dataset/ADAM/merge_363_40_1152_99.jpg | BC | macular_disease | {
"A": "dataset_raw/ADAM/Train/Training-image-400/Non-AMD/N0274.jpg",
"B": "dataset_raw/ADAM/Train/Training-image-400/AMD/A0040.jpg",
"C": "dataset_raw/ADAM/Validation/image/V0352.jpg",
"D": "dataset_raw/ADAM/Train/Training-image-400/Non-AMD/N0010.jpg"
} | [
"dataset/ADAM/363.jpg",
"dataset/ADAM/40.jpg",
"dataset/ADAM/1152.jpg",
"dataset/ADAM/99.jpg"
] | null | null | null | null | null |
LanZiyun_MMAC_002292 | Lan Ziyun | MMAC | judgement | 2a | myopic maculopathy | Does the fundus image <image> show signs of myopic maculopathy (grade > 0)? Please answer with 'Yes' or 'No'. | dataset/MMAC/mmac_task_1_train_0578.jpg | Yes | pathological_myopia | {
"S": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_0578.png"
} | null | null | null | null | dataset_raw/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_0578.png | null |
LanZiyun_MMAC_000034 | Lan Ziyun | MMAC | ranking | 1a | myopic maculopathy | Based on the composite image <image>, rank the images from the least severe to the most severe myopic maculopathy. Please output the answer as a string of option letters (e.g., ABCD). | dataset/MMAC/merge_mmac_rank_000034.jpg | DACB | pathological_myopia | {
"A": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_0411.png",
"B": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_0563.png",
"C": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/2. ... | null | null | null | null | null | null |
LanZiyun_ACRIMA_1764 | Lan Ziyun | ACRIMA | fixed_multiple_choice | 1a | glaucoma | Based on the provided composite image <image> containing four options (A, B, C, and D), select all images that show glaucoma. Please note that this question has multiple correct answers. Select two or more options from A, B, C, and D, and provide your answer using only the option letters (e.g., ABD), without spaces, ex... | dataset/ACRIMA/merge_acrima_1764.jpg | AB | glaucoma | {
"A": "dataset_raw/ACRIMA/Im557_g_ACRIMA.jpg",
"B": "dataset_raw/ACRIMA/Im530_g_ACRIMA.jpg",
"C": "dataset_raw/ACRIMA/Im283_ACRIMA.jpg",
"D": "dataset_raw/ACRIMA/Im293_ACRIMA.jpg"
} | [
"dataset/ACRIMA/354.jpg",
"dataset/ACRIMA/329.jpg",
"dataset/ACRIMA/131.jpg",
"dataset/ACRIMA/692.jpg"
] | null | null | null | null | null |
Xuechun_ADAM_001073 | Xuechun | ADAM | judgement | 2a | age_related_macular_degeneration | Does the fundus image <image> show evidence of age-related macular degeneration? You must output only Yes or No, without any other explanation, punctuation, or text. | dataset/ADAM/1064.jpg | Yes | macular_disease | {
"S": "dataset_raw/ADAM/Validation/image/V0264.jpg"
} | [
"dataset/ADAM/1064.jpg"
] | null | null | null | null | null |
Xuechun_AIROGS_018781 | Xuechun | AIROGS | judgement | 2a | glaucoma | Does the fundus image <image> show evidence of referable glaucoma? You must output only Yes or No, without any other explanation, punctuation, or text. | dataset/AIROGS/95838.jpg | Yes | glaucoma | {
"S": "dataset_raw/AIROGS/5/TRAIN095837.jpg"
} | [
"dataset/AIROGS/95838.jpg"
] | null | null | null | null | null |
Xuechun_ADAM_004195 | Xuechun | ADAM | bounding_box | 2a | optic_disc | Based on the provided fundus image <image>, identify the bounding box of the optic disc. Please output only one bounding box in the format [x_min,y_min,x_max,y_max] (e.g., [0.214,0.176,0.652,0.731]), using normalized coordinates between 0 and 1. In this format, 'x' represents the horizontal axis (0=left edge, 1=right e... | dataset/ADAM/796.jpg | [0.052309,0.403864,0.179076,0.548539] | other | {
"S": "dataset_raw/ADAM/Test/Test-image-400/T0396.jpg"
} | [
"dataset/ADAM/796.jpg"
] | 56.792 | 0.211122 | large | null | null |
Xuechun_PALM_003951 | Xuechun | PALM | bounding_box | 2a | optic_disc | Based on the provided fundus image <image>, identify the bounding box of the optic disc. Please output only one bounding box in the format [x_min,y_min,x_max,y_max] (e.g., [0.214,0.176,0.652,0.731]), using normalized coordinates between 0 and 1. In this format, 'x' represents the horizontal axis (0=left edge, 1=right e... | dataset/PALM/537.jpg | [0.418863,0.369626,0.577670,0.563107] | other | {
"S": "dataset_raw/PALM/Test/PALM-Testing400-Images/T0137.jpg"
} | [
"dataset/PALM/537.jpg"
] | 71.146 | 0.31068 | large | null | null |
Xuechun_JICHI_008373 | Xuechun | JICHI | multiple_response | 1b | diabetic_retinopathy | From options A, B, C, and D in <image>, select all fundus images that show signs of diabetic retinopathy. Please note that this question may have single or multiple correct answers. Select one or more options from A, B, C, and D, and provide your answer using only the option letter or letters (e.g., B or ABD), without ... | dataset/JICHI/dmr/1807_1_R.jpg | D | diabetic_retinopathy | {
"A": "dataset_raw/JICHI/dmr/1807_1_R.jpg",
"B": "dataset_raw/JICHI/dmr/1603_2_L.jpg",
"C": "dataset_raw/JICHI/dmr/2706_4_R.jpg",
"D": "dataset_raw/JICHI/dmr/1304_1_L.jpg"
} | [
"dataset/JICHI/dmr/1807_1_R.jpg",
"dataset/JICHI/dmr/1603_2_L.jpg",
"dataset/JICHI/dmr/2706_4_R.jpg",
"dataset/JICHI/dmr/1304_1_L.jpg"
] | null | null | null | null | null |
Xuechun_PALM_002208 | Xuechun | PALM | localization | 1 | pathological_myopia | Based on the provided fundus image <image>, identify the center point of the macula. Please output only one point in the format [x,y] (e.g., [0.214,0.176]), using normalized coordinates between 0 and 1 where x represents the horizontal axis (0=left edge, 1=right edge) and y represents the vertical axis (0=top edge, 1=b... | dataset/PALM/386.jpg | [0.521885,0.469222] | pathological_myopia | {
"S": "dataset_raw/PALM/Train/PALM-Training400/P0199.jpg"
} | [
"dataset/PALM/386.jpg"
] | 0 | 0.211122 | small | null | null |
LanZiyun_ACRIMA_3481 | Lan Ziyun | ACRIMA | multiple_response | 1a | glaucoma | Based on the provided composite image <image> containing four options (A, B, C, and D), select all images that show glaucoma. Please note that this question may have single or multiple correct answers. Select one or more options from A, B, C, and D, and provide your answer using only the option letter or letters (e.g.,... | dataset/ACRIMA/merge_acrima_3481.jpg | B | glaucoma | {
"A": "dataset_raw/ACRIMA/Im043_ACRIMA.jpg",
"B": "dataset_raw/ACRIMA/Im504_g_ACRIMA.jpg",
"C": "dataset_raw/ACRIMA/Im079_ACRIMA.jpg",
"D": "dataset_raw/ACRIMA/Im237_ACRIMA.jpg"
} | [
"dataset/ACRIMA/497.jpg",
"dataset/ACRIMA/303.jpg",
"dataset/ACRIMA/533.jpg",
"dataset/ACRIMA/661.jpg"
] | null | null | null | null | null |
LanZiyun_ACRIMA_1235 | Lan Ziyun | ACRIMA | single_choice | 3b | glaucoma | Based on the composite image <image>, which option contains abnormal fundus findings consistent with glaucoma? Please output only the option letter (e.g., A, B, C, D), without any other explanation, punctuation, or text. | dataset/ACRIMA/merge_acrima_1235.jpg | C | glaucoma | {
"A": "dataset_raw/ACRIMA/Im076_ACRIMA.jpg",
"B": "dataset_raw/ACRIMA/Im229_ACRIMA.jpg",
"C": "dataset_raw/ACRIMA/Im570_g_ACRIMA.jpg",
"D": "dataset_raw/ACRIMA/Im052_ACRIMA.jpg"
} | [
"dataset/ACRIMA/530.jpg",
"dataset/ACRIMA/653.jpg",
"dataset/ACRIMA/366.jpg",
"dataset/ACRIMA/506.jpg"
] | null | null | null | null | null |
Xuechun_ODIR5K_2119 | Xuechun | ODIR5K | single_choice | 2a | multiple | Based on the provided composite image <image> containing four options (A, B, C, and D), select the image that best matches the following clinical description: glaucoma Please output only the option letter (e.g., A, B, C, D), without any other explanation, punctuation, or text. | dataset/ODIR5K/merge_2439_1126_1662_476.jpg | D | multiple | {
"A": "dataset_raw/ODIR5K/ODIR-5K/ODIR-5K/Training Images/798_right.jpg",
"B": "dataset_raw/ODIR5K/ODIR-5K/ODIR-5K/Training Images/2964_right.jpg",
"C": "dataset_raw/ODIR5K/ODIR-5K/ODIR-5K/Training Images/4033_left.jpg",
"D": "dataset_raw/ODIR5K/ODIR-5K/ODIR-5K/Training Images/1975_left.jpg"
} | [
"dataset/ODIR5K/2439.jpg",
"dataset/ODIR5K/1126.jpg",
"dataset/ODIR5K/1662.jpg",
"dataset/ODIR5K/476.jpg"
] | null | null | null | null | null |
Xuechun_JICHI_005453 | Xuechun | JICHI | multiple_response | 1b | diabetic_retinopathy | From options A, B, C, and D in <image>, select all fundus images that show signs of diabetic retinopathy. Please note that this question may have single or multiple correct answers. Select one or more options from A, B, C, and D, and provide your answer using only the option letter or letters (e.g., B or ABD), without ... | dataset/JICHI/dmr/716_1_R.jpg | B | diabetic_retinopathy | {
"A": "dataset_raw/JICHI/dmr/716_1_R.jpg",
"B": "dataset_raw/JICHI/dmr/978_3_R.jpg",
"C": "dataset_raw/JICHI/dmr/1765_5_R.jpg",
"D": "dataset_raw/JICHI/dmr/2278_1_R.jpg"
} | [
"dataset/JICHI/dmr/716_1_R.jpg",
"dataset/JICHI/dmr/978_3_R.jpg",
"dataset/JICHI/dmr/1765_5_R.jpg",
"dataset/JICHI/dmr/2278_1_R.jpg"
] | null | null | null | null | null |
Xuechun_ODIR5K_2096 | Xuechun | ODIR5K | single_choice | 2b | multiple | Given the fundus image <image> , please select the description from the options below that best corresponds to the image: A. glaucoma B. normal fundus C. moderate non proliferative retinopathy D. dry age-related macular degeneration Please output only the option letter (e.g., A, B, C, D), without any other explanation,... | dataset/ODIR5K/2187.jpg | C | multiple | {
"S": "dataset_raw/ODIR5K/ODIR-5K/ODIR-5K/Training Images/507_left.jpg"
} | [
"dataset/ODIR5K/2187.jpg"
] | null | null | null | dataset_raw/ODIR5K/ODIR-5K/ODIR-5K/Training Images/507_left.jpg | null |
Xuechun_ODIR5K_2315 | Xuechun | ODIR5K | single_choice | 2a | multiple | Based on the provided composite image <image> containing four options (A, B, C, and D), select the image that best matches the following clinical description: epiretinal membrane，moderate non proliferative retinopathy Please output only the option letter (e.g., A, B, C, D), without any other explanation, punctuation, o... | dataset/ODIR5K/merge_2394_1357_1541_126.jpg | A | multiple | {
"A": "dataset_raw/ODIR5K/ODIR-5K/ODIR-5K/Training Images/744_right.jpg",
"B": "dataset_raw/ODIR5K/ODIR-5K/ODIR-5K/Training Images/3224_right.jpg",
"C": "dataset_raw/ODIR5K/ODIR-5K/ODIR-5K/Training Images/343_left.jpg",
"D": "dataset_raw/ODIR5K/ODIR-5K/ODIR-5K/Training Images/121_right.jpg"
} | [
"dataset/ODIR5K/2394.jpg",
"dataset/ODIR5K/1357.jpg",
"dataset/ODIR5K/1541.jpg",
"dataset/ODIR5K/126.jpg"
] | null | null | null | null | null |
Xuechun_PALM_000975 | Xuechun | PALM | multiple_response | 1b | pathological_myopia | From options A, B, C, and D in <image>, select all fundus images that show signs of pathological myopia. Please note that this question may have single or multiple correct answers. Select one or more options from A, B, C, and D, and provide your answer using only the option letter or letters (e.g., B or ABD), without s... | dataset/PALM/merge_851_969_605_671.jpg | D | pathological_myopia | {
"A": "dataset_raw/PALM/Validation/Validation-400/V0051.jpg",
"B": "dataset_raw/PALM/Validation/Validation-400/V0169.jpg",
"C": "dataset_raw/PALM/Test/PALM-Testing400-Images/T0205.jpg",
"D": "dataset_raw/PALM/Test/PALM-Testing400-Images/T0271.jpg"
} | [
"dataset/PALM/851.jpg",
"dataset/PALM/969.jpg",
"dataset/PALM/605.jpg",
"dataset/PALM/671.jpg"
] | null | null | null | null | null |
Xuechun_JICHI_023287 | Xuechun | JICHI | ranking | 1c | diabetic_retinopathy | Based on the provided composite image <image>, rank the four fundus images from the lowest to the highest diabetic retinopathy grade. Please output only the option letters in the requested order, separated by commas (e.g., B,A,D,C), without spaces, explanation, punctuation other than commas, or any additional text. | dataset/JICHI/dmr/766_3_R.jpg | C,D,A,B | diabetic_retinopathy | {
"A": "dataset_raw/JICHI/dmr/766_3_R.jpg",
"B": "dataset_raw/JICHI/dmr/2611_1_R.jpg",
"C": "dataset_raw/JICHI/dmr/372_5_R.jpg",
"D": "dataset_raw/JICHI/dmr/2466_4_L.jpg"
} | [
"dataset/JICHI/dmr/766_3_R.jpg",
"dataset/JICHI/dmr/2611_1_R.jpg",
"dataset/JICHI/dmr/372_5_R.jpg",
"dataset/JICHI/dmr/2466_4_L.jpg"
] | null | null | null | null | null |
LanZiyun_MMAC_004374 | Lan Ziyun | MMAC | judgement | 2a | myopic maculopathy | Does the fundus image <image> show signs of myopic maculopathy (grade > 0)? Please answer with 'Yes' or 'No'. | dataset/MMAC/mmac_task_1_train_1103.jpg | Yes | pathological_myopia | {
"S": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_1103.png"
} | null | null | null | null | dataset_raw/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_1103.png | null |
Xuechun_ADAM_000141 | Xuechun | ADAM | single_choice | 3a | age_related_macular_degeneration | Given the composite image containing four labeled fundus images (A, B, C, and D), select the image that shows signs of age-related macular degeneration. Please output only the option letter (e.g., A, B, C, D), without any other explanation, punctuation, or text. | dataset/ADAM/merge_83_376_349_169.jpg | A | macular_disease | {
"A": "dataset_raw/ADAM/Train/Training-image-400/AMD/A0083.jpg",
"B": "dataset_raw/ADAM/Train/Training-image-400/Non-AMD/N0287.jpg",
"C": "dataset_raw/ADAM/Train/Training-image-400/Non-AMD/N0260.jpg",
"D": "dataset_raw/ADAM/Train/Training-image-400/Non-AMD/N0080.jpg"
} | [
"dataset/ADAM/83.jpg",
"dataset/ADAM/376.jpg",
"dataset/ADAM/349.jpg",
"dataset/ADAM/169.jpg"
] | null | null | null | null | null |
Xuechun_AIROGS_018269 | Xuechun | AIROGS | judgement | 2a | glaucoma | Does the fundus image <image> show evidence of referable glaucoma? You must output only Yes or No, without any other explanation, punctuation, or text. | dataset/AIROGS/90065.jpg | Yes | glaucoma | {
"S": "dataset_raw/AIROGS/5/TRAIN090064.jpg"
} | [
"dataset/AIROGS/90065.jpg"
] | null | null | null | null | null |
Xuechun_PALM_000339 | Xuechun | PALM | single_choice | 3a | pathological_myopia | Given the composite image containing four labeled fundus images (A, B, C, and D), select the image that shows signs of pathological myopia. Please output only the option letter (e.g., A, B, C, D), without any other explanation, punctuation, or text. | dataset/PALM/merge_615_837_996_860.jpg | C | pathological_myopia | {
"A": "dataset_raw/PALM/Test/PALM-Testing400-Images/T0215.jpg",
"B": "dataset_raw/PALM/Validation/Validation-400/V0037.jpg",
"C": "dataset_raw/PALM/Validation/Validation-400/V0196.jpg",
"D": "dataset_raw/PALM/Validation/Validation-400/V0060.jpg"
} | [
"dataset/PALM/615.jpg",
"dataset/PALM/837.jpg",
"dataset/PALM/996.jpg",
"dataset/PALM/860.jpg"
] | null | null | null | null | null |
Xuechun_ADAM_002291 | Xuechun | ADAM | localization | 1 | age_related_macular_degeneration | Based on the provided fundus image <image>, identify the center point of the macula. Please output only one point in the format [x,y] (e.g., [0.214,0.176]), using normalized coordinates between 0 and 1 where x represents the horizontal axis (0=left edge, 1=right edge) and y represents the vertical axis (0=top edge, 1=b... | dataset/ADAM/113.jpg | [0.488429,0.493232] | macular_disease | {
"S": "dataset_raw/ADAM/Train/Training-image-400/Non-AMD/N0024.jpg"
} | [
"dataset/ADAM/113.jpg"
] | 0 | 0.211122 | small | null | null |
Xuechun_AIROGS_000116 | Xuechun | AIROGS | single_choice | 3b | glaucoma | Based on the composite image <image>, which option contains abnormal fundus findings consistent with referable glaucoma? Please output only the option letter (e.g., A, B, C, D), without any other explanation, punctuation, or text. | dataset/AIROGS/0/TRAIN005472.jpg | D | glaucoma | {
"A": "dataset_raw/AIROGS/0/TRAIN005472.jpg",
"B": "dataset_raw/AIROGS/2/TRAIN048276.jpg",
"C": "dataset_raw/AIROGS/4/TRAIN079261.jpg",
"D": "dataset_raw/AIROGS/4/TRAIN088132.jpg"
} | [
"dataset/AIROGS/0/TRAIN005472.jpg",
"dataset/AIROGS/2/TRAIN048276.jpg",
"dataset/AIROGS/4/TRAIN079261.jpg",
"dataset/AIROGS/4/TRAIN088132.jpg"
] | null | null | null | null | null |
LanZiyun_DeepDRiD_004956 | Lan Ziyun | DeepDRiD | multiple_response | 1b | diabetic retinopathy | From options A, B, C, and D in <image>, select all fundus images that show signs of diabetic retinopathy. This question may have single or multiple correct answers. Provide your answer using only the option letter or letters (e.g., B or ABD). | dataset/DeepDRiD/merge_dr_004294.jpg | BCD | diabetic_retinopathy | {
"A": "dataset_raw/DeepDRiD/83_r2.jpg",
"B": "dataset_raw/DeepDRiD/146_r1.jpg",
"C": "dataset_raw/DeepDRiD/152_l2.jpg",
"D": "dataset_raw/DeepDRiD/13_l1.jpg"
} | [
"dataset/DeepDRiD/83_r2.jpg",
"dataset/DeepDRiD/146_r1.jpg",
"dataset/DeepDRiD/152_l2.jpg",
"dataset/DeepDRiD/13_l1.jpg"
] | null | null | null | null | null |
LanZiyun_ACRIMA_3399 | Lan Ziyun | ACRIMA | multiple_response | 1a | glaucoma | Based on the provided composite image <image> containing four options (A, B, C, and D), select all images that show glaucoma. Please note that this question may have single or multiple correct answers. Select one or more options from A, B, C, and D, and provide your answer using only the option letter or letters (e.g.,... | dataset/ACRIMA/merge_acrima_3399.jpg | C | glaucoma | {
"A": "dataset_raw/ACRIMA/Im105_ACRIMA.jpg",
"B": "dataset_raw/ACRIMA/Im136_ACRIMA.jpg",
"C": "dataset_raw/ACRIMA/Im368_g_ACRIMA.jpg",
"D": "dataset_raw/ACRIMA/Im081_ACRIMA.jpg"
} | [
"dataset/ACRIMA/548.jpg",
"dataset/ACRIMA/579.jpg",
"dataset/ACRIMA/189.jpg",
"dataset/ACRIMA/535.jpg"
] | null | null | null | null | null |
Xuechun_PALM_004615 | Xuechun | PALM | bounding_box | 2a | optic_disc | Based on the provided fundus image <image>, identify the bounding box of the optic disc. Please output only one bounding box in the format [x_min,y_min,x_max,y_max] (e.g., [0.214,0.176,0.652,0.731]), using normalized coordinates between 0 and 1. In this format, 'x' represents the horizontal axis (0=left edge, 1=right e... | dataset/PALM/935.jpg | [0.089538,0.303016,0.221960,0.448162] | other | {
"S": "dataset_raw/PALM/Validation/Validation-400/V0135.jpg"
} | [
"dataset/PALM/935.jpg"
] | 59.325 | 0.211122 | large | null | null |
Xuechun_JICHI_008071 | Xuechun | JICHI | multiple_response | 1a | diabetic_retinopathy | Based on the provided composite image <image> containing four options (A, B, C, and D), select all images that show diabetic retinopathy. Please note that this question may have single or multiple correct answers. Select one or more options from A, B, C, and D, and provide your answer using only the option letter or le... | dataset/JICHI/dmr/702_3_R.jpg | A | diabetic_retinopathy | {
"A": "dataset_raw/JICHI/dmr/702_3_R.jpg",
"B": "dataset_raw/JICHI/dmr/1688_2_R.jpg",
"C": "dataset_raw/JICHI/dmr/2434_1_R.jpg",
"D": "dataset_raw/JICHI/dmr/1375_4_R.jpg"
} | [
"dataset/JICHI/dmr/702_3_R.jpg",
"dataset/JICHI/dmr/1688_2_R.jpg",
"dataset/JICHI/dmr/2434_1_R.jpg",
"dataset/JICHI/dmr/1375_4_R.jpg"
] | null | null | null | null | null |
Xuechun_JICHI_023932 | Xuechun | JICHI | ranking | 1c | diabetic_retinopathy | Based on the provided composite image <image>, rank the four fundus images from the lowest to the highest diabetic retinopathy grade. Please output only the option letters in the requested order, separated by commas (e.g., B,A,D,C), without spaces, explanation, punctuation other than commas, or any additional text. | dataset/JICHI/dmr/2006_2_L.jpg | D,A,C,B | diabetic_retinopathy | {
"A": "dataset_raw/JICHI/dmr/2006_2_L.jpg",
"B": "dataset_raw/JICHI/dmr/293_2_R.jpg",
"C": "dataset_raw/JICHI/dmr/2155_2_L.jpg",
"D": "dataset_raw/JICHI/dmr/1711_3_L.jpg"
} | [
"dataset/JICHI/dmr/2006_2_L.jpg",
"dataset/JICHI/dmr/293_2_R.jpg",
"dataset/JICHI/dmr/2155_2_L.jpg",
"dataset/JICHI/dmr/1711_3_L.jpg"
] | null | null | null | null | null |
LanZiyun_MMAC_003033 | Lan Ziyun | MMAC | multiple_response | 1a | myopic maculopathy | From options A, B, C, and D in <image>, select all fundus images that show signs of myopic maculopathy (grade > 0). Please provide your answer using only the option letters (e.g., B or ABD). | dataset/MMAC/merge_mmac_mr_003033.jpg | CD | pathological_myopia | {
"A": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_0493.png",
"B": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_0246.png",
"C": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. ... | null | null | null | null | null | null |
Xuechun_PALM_004511 | Xuechun | PALM | bounding_box | 2a | optic_disc | Based on the provided fundus image <image>, identify the bounding box of the optic disc. Please output only one bounding box in the format [x_min,y_min,x_max,y_max] (e.g., [0.214,0.176,0.652,0.731]), using normalized coordinates between 0 and 1. In this format, 'x' represents the horizontal axis (0=left edge, 1=right e... | dataset/PALM/870.jpg | [0.078699,0.366635,0.217248,0.531574] | other | {
"S": "dataset_raw/PALM/Validation/Validation-400/V0070.jpg"
} | [
"dataset/PALM/870.jpg"
] | 62.07 | 0.211122 | large | null | null |
LanZiyun_Cataract_2167 | Lan Ziyun | Cataract | fixed_multiple_choice | 1b | cataract | From options A, B, C, and D in <image>, select all fundus images that show signs of cataract. Please note that this question has multiple correct answers. Select two or more options from A, B, C, and D, and provide your answer using only the option letters (e.g., ABD), without spaces, explanation, commas, or any additi... | dataset/Cataract/merge_cat_2167.jpg | AD | cataract | {
"A": "dataset_raw/Cataract/cataract_074.png",
"B": "dataset_raw/Cataract/Retina_076.png",
"C": "dataset_raw/Cataract/NL_238.png",
"D": "dataset_raw/Cataract/cataract_064.png"
} | [
"dataset/Cataract/374.jpg",
"dataset/Cataract/577.jpg",
"dataset/Cataract/238.jpg",
"dataset/Cataract/364.jpg"
] | null | null | null | null | null |
LanZiyun_Cataract_4030 | Lan Ziyun | Cataract | judgement | 2a | cataract | Does the fundus image <image> show evidence of cataract? You must output only Yes or No, without any other explanation, punctuation, or text. | dataset/Cataract/424.jpg | No | cataract | {
"S": "dataset_raw/Cataract/Glaucoma_024.png"
} | [
"dataset/Cataract/424.jpg"
] | null | null | null | null | null |
Xuechun_PALM_000797 | Xuechun | PALM | multiple_response | 1a | pathological_myopia | Based on the provided composite image <image> containing four options (A, B, C, and D), select all images that show pathological myopia. Please note that this question may have single or multiple correct answers. Select one or more options from A, B, C, and D, and provide your answer using only the option letter or let... | dataset/PALM/merge_1197_569_739_970.jpg | D | pathological_myopia | {
"A": "dataset_raw/PALM/Validation/Validation-400/V0397.jpg",
"B": "dataset_raw/PALM/Test/PALM-Testing400-Images/T0169.jpg",
"C": "dataset_raw/PALM/Test/PALM-Testing400-Images/T0339.jpg",
"D": "dataset_raw/PALM/Validation/Validation-400/V0170.jpg"
} | [
"dataset/PALM/1197.jpg",
"dataset/PALM/569.jpg",
"dataset/PALM/739.jpg",
"dataset/PALM/970.jpg"
] | null | null | null | null | null |
LanZiyun_DeepDRiD_009906 | Lan Ziyun | DeepDRiD | single_choice | 1b | diabetic retinopathy | Given the four fundus images in <image>, identify the one with the highest grade of diabetic retinopathy. Please output only the option letter (e.g., A, B, C, D). | dataset/DeepDRiD/merge_dr_008582.jpg | D | diabetic_retinopathy | {
"A": "dataset_raw/DeepDRiD/166_r1.jpg",
"B": "dataset_raw/DeepDRiD/164_l3.jpg",
"C": "dataset_raw/DeepDRiD/77_r4.jpg",
"D": "dataset_raw/DeepDRiD/289_l2.jpg"
} | [
"dataset/DeepDRiD/166_r1.jpg",
"dataset/DeepDRiD/164_l3.jpg",
"dataset/DeepDRiD/77_r4.jpg",
"dataset/DeepDRiD/289_l2.jpg"
] | null | null | null | null | null |
Xuechun_PALM_004529 | Xuechun | PALM | bounding_box | 1a | pathological_myopia | Based on the provided fundus image <image>, identify the bounding box of the largest region showing atrophy. Please output only one bounding box in the format [x_min,y_min,x_max,y_max] (e.g., [0.214,0.176,0.652,0.731]), using normalized coordinates between 0 and 1. In this format, 'x' represents the horizontal axis (0=... | dataset/PALM/880.jpg | [0.157420,0.341193,0.569348,0.831484] | pathological_myopia | {
"S": "dataset_raw/PALM/Validation/Validation-400/V0080.jpg"
} | [
"dataset/PALM/880.jpg"
] | 184.544 | 0.31068 | large | null | null |
LanZiyun_ACRIMA_1925 | Lan Ziyun | ACRIMA | fixed_multiple_choice | 1a | glaucoma | Based on the provided composite image <image> containing four options (A, B, C, and D), select all images that show glaucoma. Please note that this question has multiple correct answers. Select two or more options from A, B, C, and D, and provide your answer using only the option letters (e.g., ABD), without spaces, ex... | dataset/ACRIMA/merge_acrima_1925.jpg | AB | glaucoma | {
"A": "dataset_raw/ACRIMA/Im603_g_ACRIMA.jpg",
"B": "dataset_raw/ACRIMA/Im334_g_ACRIMA.jpg",
"C": "dataset_raw/ACRIMA/Im006_ACRIMA.jpg",
"D": "dataset_raw/ACRIMA/Im061_ACRIMA.jpg"
} | [
"dataset/ACRIMA/393.jpg",
"dataset/ACRIMA/160.jpg",
"dataset/ACRIMA/472.jpg",
"dataset/ACRIMA/515.jpg"
] | null | null | null | null | null |
LanZiyun_MMAC_000694 | Lan Ziyun | MMAC | ranking | 1a | myopic maculopathy | Based on the composite image <image>, rank the images from the least severe to the most severe myopic maculopathy. Please output the answer as a string of option letters (e.g., ABCD). | dataset/MMAC/merge_mmac_rank_000694.jpg | BDCA | pathological_myopia | {
"A": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/2. Validation Set/mmac_task_1_val_0036.png",
"B": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_0395.png",
"C": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/2. ... | null | null | null | null | null | null |
LanZiyun_DeepDRiD_001684 | Lan Ziyun | DeepDRiD | single_choice | 3b | diabetic retinopathy | Based on the composite image <image>, which option contains abnormal fundus findings consistent with diabetic retinopathy? Please output only the option letter (e.g., A, B, C, D). | dataset/DeepDRiD/merge_dr_001460.jpg | D | diabetic_retinopathy | {
"A": "dataset_raw/DeepDRiD/240_r2.jpg",
"B": "dataset_raw/DeepDRiD/264_l2.jpg",
"C": "dataset_raw/DeepDRiD/233_r2.jpg",
"D": "dataset_raw/DeepDRiD/29_l1.jpg"
} | [
"dataset/DeepDRiD/240_r2.jpg",
"dataset/DeepDRiD/264_l2.jpg",
"dataset/DeepDRiD/233_r2.jpg",
"dataset/DeepDRiD/29_l1.jpg"
] | null | null | null | null | null |
Xuechun_PALM_003678 | Xuechun | PALM | bounding_box | 1a | pathological_myopia | Based on the provided fundus image <image>, identify the bounding box of the largest region showing atrophy. Please output only one bounding box in the format [x_min,y_min,x_max,y_max] (e.g., [0.214,0.176,0.652,0.731]), using normalized coordinates between 0 and 1. In this format, 'x' represents the horizontal axis (0=... | dataset/PALM/379.jpg | [0.293120,0.652215,0.884072,0.965598] | pathological_myopia | {
"S": "dataset_raw/PALM/Train/PALM-Training400/P0192.jpg"
} | [
"dataset/PALM/379.jpg"
] | 140.396 | 0.211122 | large | null | null |
Xuechun_PALM_000196 | Xuechun | PALM | single_choice | 3b | pathological_myopia | Based on the composite image <image>, which option contains abnormal fundus findings consistent with pathological myopia? Please output only the option letter (e.g., A, B, C, D), without any other explanation, punctuation, or text. | dataset/PALM/merge_433_949_499_836.jpg | D | pathological_myopia | {
"A": "dataset_raw/PALM/Test/PALM-Testing400-Images/T0033.jpg",
"B": "dataset_raw/PALM/Validation/Validation-400/V0149.jpg",
"C": "dataset_raw/PALM/Test/PALM-Testing400-Images/T0099.jpg",
"D": "dataset_raw/PALM/Validation/Validation-400/V0036.jpg"
} | [
"dataset/PALM/433.jpg",
"dataset/PALM/949.jpg",
"dataset/PALM/499.jpg",
"dataset/PALM/836.jpg"
] | null | null | null | null | null |
LanZiyun_ACRIMA_0884 | Lan Ziyun | ACRIMA | single_choice | 3b | glaucoma | Based on the composite image <image>, which option contains abnormal fundus findings consistent with glaucoma? Please output only the option letter (e.g., A, B, C, D), without any other explanation, punctuation, or text. | dataset/ACRIMA/merge_acrima_0884.jpg | D | glaucoma | {
"A": "dataset_raw/ACRIMA/Im279_ACRIMA.jpg",
"B": "dataset_raw/ACRIMA/Im247_ACRIMA.jpg",
"C": "dataset_raw/ACRIMA/Im252_ACRIMA.jpg",
"D": "dataset_raw/ACRIMA/Im357_g_ACRIMA.jpg"
} | [
"dataset/ACRIMA/127.jpg",
"dataset/ACRIMA/120.jpg",
"dataset/ACRIMA/664.jpg",
"dataset/ACRIMA/179.jpg"
] | null | null | null | null | null |
Xuechun_AIROGS_002011 | Xuechun | AIROGS | single_choice | 3a | glaucoma | Given the composite image containing four labeled fundus images (A, B, C, and D), select the image that shows signs of referable glaucoma. Please output only the option letter (e.g., A, B, C, D), without any other explanation, punctuation, or text. | dataset/AIROGS/3/TRAIN064580.jpg | C | glaucoma | {
"A": "dataset_raw/AIROGS/3/TRAIN064580.jpg",
"B": "dataset_raw/AIROGS/1/TRAIN023959.jpg",
"C": "dataset_raw/AIROGS/3/TRAIN054162.jpg",
"D": "dataset_raw/AIROGS/1/TRAIN026985.jpg"
} | [
"dataset/AIROGS/3/TRAIN064580.jpg",
"dataset/AIROGS/1/TRAIN023959.jpg",
"dataset/AIROGS/3/TRAIN054162.jpg",
"dataset/AIROGS/1/TRAIN026985.jpg"
] | null | null | null | null | null |
LanZiyun_DeepDRiD_009595 | Lan Ziyun | DeepDRiD | ranking | 1b | diabetic retinopathy | Arrange the images in <image> in ascending order of diabetic retinopathy severity. Your answer should be a four-letter sequence representing the sorted order (e.g., 'DBAC'). | dataset/DeepDRiD/merge_dr_008313.jpg | ABCD | diabetic_retinopathy | {
"A": "dataset_raw/DeepDRiD/161_l1.jpg",
"B": "dataset_raw/DeepDRiD/57_r2.jpg",
"C": "dataset_raw/DeepDRiD/77_r3.jpg",
"D": "dataset_raw/DeepDRiD/77_l3.jpg"
} | [
"dataset/DeepDRiD/161_l1.jpg",
"dataset/DeepDRiD/57_r2.jpg",
"dataset/DeepDRiD/77_r3.jpg",
"dataset/DeepDRiD/77_l3.jpg"
] | null | null | null | null | null |
Xuechun_PALM_000034 | Xuechun | PALM | single_choice | 3b | pathological_myopia | Based on the composite image <image>, which option contains abnormal fundus findings consistent with pathological myopia? Please output only the option letter (e.g., A, B, C, D), without any other explanation, punctuation, or text. | dataset/PALM/merge_975_827_825_612.jpg | B | pathological_myopia | {
"A": "dataset_raw/PALM/Validation/Validation-400/V0175.jpg",
"B": "dataset_raw/PALM/Validation/Validation-400/V0027.jpg",
"C": "dataset_raw/PALM/Validation/Validation-400/V0025.jpg",
"D": "dataset_raw/PALM/Test/PALM-Testing400-Images/T0212.jpg"
} | [
"dataset/PALM/975.jpg",
"dataset/PALM/827.jpg",
"dataset/PALM/825.jpg",
"dataset/PALM/612.jpg"
] | null | null | null | null | null |
LanZiyun_MMAC_001835 | Lan Ziyun | MMAC | ranking | 1a | myopic maculopathy | Based on the composite image <image>, rank the images from the least severe to the most severe myopic maculopathy. Please output the answer as a string of option letters (e.g., ABCD). | dataset/MMAC/merge_mmac_rank_001835.jpg | DACB | pathological_myopia | {
"A": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_0463.png",
"B": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_0985.png",
"C": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. ... | null | null | null | null | null | null |
Xuechun_DEN_2839 | Xuechun | DEN | judgement | 2b | von_hippel_lindau | The provided fundus image <image> shows the findings described below: von hippel-lindau? You must output only Yes or No, without any other explanation, punctuation, or text. | dataset/DEN/1573.jpg | Yes | von_hippel_lindau | {
"S": "dataset_raw/DEN/eyenet0420/train_set/group76-70.jpg"
} | [
"dataset/DEN/1573.jpg"
] | null | null | null | dataset_raw/DEN/eyenet0420/train_set/group76-70.jpg | null |
Xuechun_AIROGS_015424 | Xuechun | AIROGS | judgement | 2b | glaucoma | The provided fundus image <image> shows the findings described below: referable glaucoma? You must output only Yes or No, without any other explanation, punctuation, or text. | dataset/AIROGS/15399.jpg | No | glaucoma | {
"S": "dataset_raw/AIROGS/0/TRAIN015398.jpg"
} | [
"dataset/AIROGS/15399.jpg"
] | null | null | null | null | null |
Xuechun_ODIR5K_1367 | Xuechun | ODIR5K | multiple_response | 1a | hypertensive_retinopathy | Based on the provided composite image <image> containing four options (A, B, C, and D), select all images that show hypertensive retinopathy. Please note that this question may have single or multiple correct answers. Select one or more options from A, B, C, and D, and provide your answer using only the option letter o... | dataset/ODIR5K/merge_810_31_1487_481.jpg | D | hypertensive_retinopathy | {
"A": "dataset_raw/ODIR5K/ODIR-5K/ODIR-5K/Training Images/2566_left.jpg",
"B": "dataset_raw/ODIR5K/ODIR-5K/ODIR-5K/Training Images/1054_left.jpg",
"C": "dataset_raw/ODIR5K/ODIR-5K/ODIR-5K/Training Images/3379_left.jpg",
"D": "dataset_raw/ODIR5K/ODIR-5K/ODIR-5K/Training Images/1989_left.jpg"
} | [
"dataset/ODIR5K/810.jpg",
"dataset/ODIR5K/31.jpg",
"dataset/ODIR5K/1487.jpg",
"dataset/ODIR5K/481.jpg"
] | null | null | null | null | null |
LanZiyun_ACRIMA_2624 | Lan Ziyun | ACRIMA | fixed_multiple_choice | 1b | glaucoma | From options A, B, C, and D in <image>, select all fundus images that show signs of glaucoma. Please note that this question has multiple correct answers. Select two or more options from A, B, C, and D, and provide your answer using only the option letters (e.g., ABD), without spaces, explanation, commas, or any additi... | dataset/ACRIMA/merge_acrima_2624.jpg | ABC | glaucoma | {
"A": "dataset_raw/ACRIMA/Im404_g_ACRIMA.jpg",
"B": "dataset_raw/ACRIMA/Im666_g_ACRIMA.jpg",
"C": "dataset_raw/ACRIMA/Im470_g_ACRIMA.jpg",
"D": "dataset_raw/ACRIMA/Im055_ACRIMA.jpg"
} | [
"dataset/ACRIMA/224.jpg",
"dataset/ACRIMA/449.jpg",
"dataset/ACRIMA/279.jpg",
"dataset/ACRIMA/509.jpg"
] | null | null | null | null | null |
Xuechun_JICHI_005421 | Xuechun | JICHI | multiple_response | 1b | diabetic_retinopathy | From options A, B, C, and D in <image>, select all fundus images that show signs of diabetic retinopathy. Please note that this question may have single or multiple correct answers. Select one or more options from A, B, C, and D, and provide your answer using only the option letter or letters (e.g., B or ABD), without ... | dataset/JICHI/dmr/1290_9_L.jpg | A | diabetic_retinopathy | {
"A": "dataset_raw/JICHI/dmr/1290_9_L.jpg",
"B": "dataset_raw/JICHI/dmr/1686_2_L.jpg",
"C": "dataset_raw/JICHI/dmr/1466_2_L.jpg",
"D": "dataset_raw/JICHI/dmr/2524_4_L.jpg"
} | [
"dataset/JICHI/dmr/1290_9_L.jpg",
"dataset/JICHI/dmr/1686_2_L.jpg",
"dataset/JICHI/dmr/1466_2_L.jpg",
"dataset/JICHI/dmr/2524_4_L.jpg"
] | null | null | null | null | null |
Xuechun_JICHI_010257 | Xuechun | JICHI | multiple_response | 1b | diabetic_retinopathy | From options A, B, C, and D in <image>, select all fundus images that show signs of diabetic retinopathy. Please note that this question may have single or multiple correct answers. Select one or more options from A, B, C, and D, and provide your answer using only the option letter or letters (e.g., B or ABD), without ... | dataset/JICHI/dmr/838_2_L.jpg | C | diabetic_retinopathy | {
"A": "dataset_raw/JICHI/dmr/838_2_L.jpg",
"B": "dataset_raw/JICHI/dmr/1084_2_L.jpg",
"C": "dataset_raw/JICHI/dmr/2098_3_R.jpg",
"D": "dataset_raw/JICHI/dmr/2656_3_L.jpg"
} | [
"dataset/JICHI/dmr/838_2_L.jpg",
"dataset/JICHI/dmr/1084_2_L.jpg",
"dataset/JICHI/dmr/2098_3_R.jpg",
"dataset/JICHI/dmr/2656_3_L.jpg"
] | null | null | null | null | null |
Xuechun_PALM_002939 | Xuechun | PALM | localization | 1 | pathological_myopia | Based on the provided fundus image <image>, identify the center point of the macula. Please output only one point in the format [x,y] (e.g., [0.214,0.176]), using normalized coordinates between 0 and 1 where x represents the horizontal axis (0=left edge, 1=right edge) and y represents the vertical axis (0=top edge, 1=b... | dataset/PALM/1122.jpg | [0.518336,0.497276] | pathological_myopia | {
"S": "dataset_raw/PALM/Validation/Validation-400/V0322.jpg"
} | [
"dataset/PALM/1122.jpg"
] | 0 | 0.211122 | small | null | null |
LanZiyun_Cataract_4538 | Lan Ziyun | Cataract | judgement | 2b | cataract | The provided fundus image <image> shows the findings described below: cataract? You must output only Yes or No, without any other explanation, punctuation, or text. | dataset/Cataract/331.jpg | Yes | cataract | {
"S": "dataset_raw/Cataract/cataract_031.png"
} | [
"dataset/Cataract/331.jpg"
] | null | null | null | null | null |
LanZiyun_Cataract_4092 | Lan Ziyun | Cataract | judgement | 2a | cataract | Does the fundus image <image> show evidence of cataract? You must output only Yes or No, without any other explanation, punctuation, or text. | dataset/Cataract/486.jpg | No | cataract | {
"S": "dataset_raw/Cataract/Glaucoma_086.png"
} | [
"dataset/Cataract/486.jpg"
] | null | null | null | null | null |
LanZiyun_ACRIMA_1919 | Lan Ziyun | ACRIMA | fixed_multiple_choice | 1a | glaucoma | Based on the provided composite image <image> containing four options (A, B, C, and D), select all images that show glaucoma. Please note that this question has multiple correct answers. Select two or more options from A, B, C, and D, and provide your answer using only the option letters (e.g., ABD), without spaces, ex... | dataset/ACRIMA/merge_acrima_1919.jpg | BD | glaucoma | {
"A": "dataset_raw/ACRIMA/Im055_ACRIMA.jpg",
"B": "dataset_raw/ACRIMA/Im593_g_ACRIMA.jpg",
"C": "dataset_raw/ACRIMA/Im140_ACRIMA.jpg",
"D": "dataset_raw/ACRIMA/Im391_g_ACRIMA.jpg"
} | [
"dataset/ACRIMA/509.jpg",
"dataset/ACRIMA/386.jpg",
"dataset/ACRIMA/583.jpg",
"dataset/ACRIMA/211.jpg"
] | null | null | null | null | null |
LanZiyun_ACRIMA_1599 | Lan Ziyun | ACRIMA | fixed_multiple_choice | 1a | glaucoma | Based on the provided composite image <image> containing four options (A, B, C, and D), select all images that show glaucoma. Please note that this question has multiple correct answers. Select two or more options from A, B, C, and D, and provide your answer using only the option letters (e.g., ABD), without spaces, ex... | dataset/ACRIMA/merge_acrima_1599.jpg | ABD | glaucoma | {
"A": "dataset_raw/ACRIMA/Im332_g_ACRIMA.jpg",
"B": "dataset_raw/ACRIMA/Im551_g_ACRIMA.jpg",
"C": "dataset_raw/ACRIMA/Im179_ACRIMA.jpg",
"D": "dataset_raw/ACRIMA/Im368_g_ACRIMA.jpg"
} | [
"dataset/ACRIMA/158.jpg",
"dataset/ACRIMA/350.jpg",
"dataset/ACRIMA/613.jpg",
"dataset/ACRIMA/189.jpg"
] | null | null | null | null | null |
Xuechun_ADAM_000309 | Xuechun | ADAM | fixed_multiple_choice | 1a | age_related_macular_degeneration | Based on the provided composite image <image> containing four options (A, B, C, and D), select all images that show age-related macular degeneration. Please note that this question has multiple correct answers. Select two or more options from A, B, C, and D, and provide your answer using only the option letters (e.g., ... | dataset/ADAM/merge_565_55_732_393.jpg | AB | macular_disease | {
"A": "dataset_raw/ADAM/Test/Test-image-400/T0165.jpg",
"B": "dataset_raw/ADAM/Train/Training-image-400/AMD/A0055.jpg",
"C": "dataset_raw/ADAM/Test/Test-image-400/T0332.jpg",
"D": "dataset_raw/ADAM/Train/Training-image-400/Non-AMD/N0304.jpg"
} | [
"dataset/ADAM/565.jpg",
"dataset/ADAM/55.jpg",
"dataset/ADAM/732.jpg",
"dataset/ADAM/393.jpg"
] | null | null | null | null | null |
LanZiyun_MMAC_002452 | Lan Ziyun | MMAC | ranking | 1a | myopic maculopathy | Based on the composite image <image>, rank the images from the least severe to the most severe myopic maculopathy. Please output the answer as a string of option letters (e.g., ABCD). | dataset/MMAC/merge_mmac_rank_002452.jpg | CABD | pathological_myopia | {
"A": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_1000.png",
"B": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/2. Validation Set/mmac_task_1_val_0238.png",
"C": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. ... | null | null | null | null | null | null |
Xuechun_ADAM_002027 | Xuechun | ADAM | judgement | 2a | age_related_macular_degeneration | Does the fundus image <image> show evidence of age-related macular degeneration? You must output only Yes or No, without any other explanation, punctuation, or text. | dataset/ADAM/507.jpg | Yes | macular_disease | {
"S": "dataset_raw/ADAM/Test/Test-image-400/T0107.jpg"
} | [
"dataset/ADAM/507.jpg"
] | null | null | null | null | null |
Xuechun_ADAM_000299 | Xuechun | ADAM | fixed_multiple_choice | 1b | age_related_macular_degeneration | From options A, B, C, and D in <image>, select all fundus images that show signs of age-related macular degeneration. Please note that this question has multiple correct answers. Select two or more options from A, B, C, and D, and provide your answer using only the option letters (e.g., ABD), without spaces, explanatio... | dataset/ADAM/merge_823_6_1044_483.jpg | BD | macular_disease | {
"A": "dataset_raw/ADAM/Validation/image/V0023.jpg",
"B": "dataset_raw/ADAM/Train/Training-image-400/AMD/A0006.jpg",
"C": "dataset_raw/ADAM/Validation/image/V0244.jpg",
"D": "dataset_raw/ADAM/Test/Test-image-400/T0083.jpg"
} | [
"dataset/ADAM/823.jpg",
"dataset/ADAM/6.jpg",
"dataset/ADAM/1044.jpg",
"dataset/ADAM/483.jpg"
] | null | null | null | null | null |
Xuechun_ODIR5K_2194 | Xuechun | ODIR5K | single_choice | 2b | multiple | Given the fundus image <image> , please select the description from the options below that best corresponds to the image: A. dry age-related macular degeneration B. normal fundus C. moderate non proliferative retinopathy D. pathological myopia Please output only the option letter (e.g., A, B, C, D), without any other e... | dataset/ODIR5K/1104.jpg | B | multiple | {
"S": "dataset_raw/ODIR5K/ODIR-5K/ODIR-5K/Training Images/2934_right.jpg"
} | [
"dataset/ODIR5K/1104.jpg"
] | null | null | null | dataset_raw/ODIR5K/ODIR-5K/ODIR-5K/Training Images/2934_right.jpg | null |
LanZiyun_ACRIMA_1763 | Lan Ziyun | ACRIMA | fixed_multiple_choice | 1a | glaucoma | Based on the provided composite image <image> containing four options (A, B, C, and D), select all images that show glaucoma. Please note that this question has multiple correct answers. Select two or more options from A, B, C, and D, and provide your answer using only the option letters (e.g., ABD), without spaces, ex... | dataset/ACRIMA/merge_acrima_1763.jpg | ABC | glaucoma | {
"A": "dataset_raw/ACRIMA/Im413_g_ACRIMA.jpg",
"B": "dataset_raw/ACRIMA/Im536_g_ACRIMA.jpg",
"C": "dataset_raw/ACRIMA/Im556_g_ACRIMA.jpg",
"D": "dataset_raw/ACRIMA/Im012_ACRIMA.jpg"
} | [
"dataset/ACRIMA/233.jpg",
"dataset/ACRIMA/335.jpg",
"dataset/ACRIMA/353.jpg",
"dataset/ACRIMA/478.jpg"
] | null | null | null | null | null |
Xuechun_PALM_001890 | Xuechun | PALM | localization | 1 | pathological_myopia | Based on the provided fundus image <image>, identify the center point of the macula. Please output only one point in the format [x,y] (e.g., [0.214,0.176]), using normalized coordinates between 0 and 1 where x represents the horizontal axis (0=left edge, 1=right edge) and y represents the vertical axis (0=top edge, 1=b... | dataset/PALM/66.jpg | [0.509877,0.491635] | pathological_myopia | {
"S": "dataset_raw/PALM/Train/PALM-Training400/N0040.jpg"
} | [
"dataset/PALM/66.jpg"
] | 0 | 0.211122 | small | null | null |
Xuechun_ODIR5K_0960 | Xuechun | ODIR5K | single_choice | 3b | cataract | Based on the composite image <image>, which option contains abnormal fundus findings consistent with cataract? Please output only the option letter (e.g., A, B, C, D), without any other explanation, punctuation, or text. | dataset/ODIR5K/merge_625_1813_1671_1893.jpg | A | cataract | {
"A": "dataset_raw/ODIR5K/ODIR-5K/ODIR-5K/Training Images/2246_left.jpg",
"B": "dataset_raw/ODIR5K/ODIR-5K/ODIR-5K/Training Images/4225_right.jpg",
"C": "dataset_raw/ODIR5K/ODIR-5K/ODIR-5K/Training Images/4044_left.jpg",
"D": "dataset_raw/ODIR5K/ODIR-5K/ODIR-5K/Training Images/4320_right.jpg"
} | [
"dataset/ODIR5K/625.jpg",
"dataset/ODIR5K/1813.jpg",
"dataset/ODIR5K/1671.jpg",
"dataset/ODIR5K/1893.jpg"
] | null | null | null | null | null |
Xuechun_ADAM_000357 | Xuechun | ADAM | fixed_multiple_choice | 1a | age_related_macular_degeneration | Based on the provided composite image <image> containing four options (A, B, C, and D), select all images that show age-related macular degeneration. Please note that this question has multiple correct answers. Select two or more options from A, B, C, and D, and provide your answer using only the option letters (e.g., ... | dataset/ADAM/merge_453_1047_61_322.jpg | AC | macular_disease | {
"A": "dataset_raw/ADAM/Test/Test-image-400/T0053.jpg",
"B": "dataset_raw/ADAM/Validation/image/V0247.jpg",
"C": "dataset_raw/ADAM/Train/Training-image-400/AMD/A0061.jpg",
"D": "dataset_raw/ADAM/Train/Training-image-400/Non-AMD/N0233.jpg"
} | [
"dataset/ADAM/453.jpg",
"dataset/ADAM/1047.jpg",
"dataset/ADAM/61.jpg",
"dataset/ADAM/322.jpg"
] | null | null | null | null | null |
LanZiyun_ACRIMA_4013 | Lan Ziyun | ACRIMA | multiple_response | 1b | glaucoma | From options A, B, C, and D in <image>, select all fundus images that show signs of glaucoma. Please note that this question may have single or multiple correct answers. Select one or more options from A, B, C, and D, and provide your answer using only the option letter or letters (e.g., B or ABD), without spaces, expl... | dataset/ACRIMA/merge_acrima_4013.jpg | ABC | glaucoma | {
"A": "dataset_raw/ACRIMA/Im694_g_ACRIMA.jpg",
"B": "dataset_raw/ACRIMA/Im545_g_ACRIMA.jpg",
"C": "dataset_raw/ACRIMA/Im462_g_ACRIMA.jpg",
"D": "dataset_raw/ACRIMA/Im034_ACRIMA.jpg"
} | [
"dataset/ACRIMA/455.jpg",
"dataset/ACRIMA/344.jpg",
"dataset/ACRIMA/272.jpg",
"dataset/ACRIMA/488.jpg"
] | null | null | null | null | null |
LanZiyun_Cataract_4587 | Lan Ziyun | Cataract | judgement | 2b | cataract | The provided fundus image <image> shows the findings described below: cataract? You must output only Yes or No, without any other explanation, punctuation, or text. | dataset/Cataract/380.jpg | Yes | cataract | {
"S": "dataset_raw/Cataract/cataract_080.png"
} | [
"dataset/Cataract/380.jpg"
] | null | null | null | null | null |
Xuechun_JICHI_023722 | Xuechun | JICHI | ranking | 1c | diabetic_retinopathy | Based on the provided composite image <image>, rank the four fundus images from the lowest to the highest diabetic retinopathy grade. Please output only the option letters in the requested order, separated by commas (e.g., B,A,D,C), without spaces, explanation, punctuation other than commas, or any additional text. | dataset/JICHI/dmr/1076_2_R.jpg | B,A,D,C | diabetic_retinopathy | {
"A": "dataset_raw/JICHI/dmr/1076_2_R.jpg",
"B": "dataset_raw/JICHI/dmr/1504_1_R.jpg",
"C": "dataset_raw/JICHI/dmr/1284_1_R.jpg",
"D": "dataset_raw/JICHI/dmr/1894_1_R.jpg"
} | [
"dataset/JICHI/dmr/1076_2_R.jpg",
"dataset/JICHI/dmr/1504_1_R.jpg",
"dataset/JICHI/dmr/1284_1_R.jpg",
"dataset/JICHI/dmr/1894_1_R.jpg"
] | null | null | null | null | null |
Xuechun_DEN_2244 | Xuechun | DEN | judgement | 2b | angioid_streaks | The provided fundus image <image> shows the findings described below: angioid streaks? You must output only Yes or No, without any other explanation, punctuation, or text. | dataset/DEN/1393.jpg | No | angioid_streaks | {
"S": "dataset_raw/DEN/eyenet0420/test_set/group67-2.jpg"
} | [
"dataset/DEN/1393.jpg"
] | null | null | null | dataset_raw/DEN/eyenet0420/test_set/group67-2.jpg | null |
Xuechun_ADAM_003905 | Xuechun | ADAM | bounding_box | 2a | optic_disc | Based on the provided fundus image <image>, identify the bounding box of the optic disc. Please output only one bounding box in the format [x_min,y_min,x_max,y_max] (e.g., [0.214,0.176,0.652,0.731]), using normalized coordinates between 0 and 1. In this format, 'x' represents the horizontal axis (0=left edge, 1=right e... | dataset/ADAM/516.jpg | [0.063148,0.373704,0.207823,0.531103] | other | {
"S": "dataset_raw/ADAM/Test/Test-image-400/T0116.jpg"
} | [
"dataset/ADAM/516.jpg"
] | 64.814 | 0.211122 | large | null | null |
LanZiyun_ACRIMA_3348 | Lan Ziyun | ACRIMA | multiple_response | 1a | glaucoma | Based on the provided composite image <image> containing four options (A, B, C, and D), select all images that show glaucoma. Please note that this question may have single or multiple correct answers. Select one or more options from A, B, C, and D, and provide your answer using only the option letter or letters (e.g.,... | dataset/ACRIMA/merge_acrima_3348.jpg | BCD | glaucoma | {
"A": "dataset_raw/ACRIMA/Im074_ACRIMA.jpg",
"B": "dataset_raw/ACRIMA/Im396_g_ACRIMA.jpg",
"C": "dataset_raw/ACRIMA/Im479_g_ACRIMA.jpg",
"D": "dataset_raw/ACRIMA/Im553_g_ACRIMA.jpg"
} | [
"dataset/ACRIMA/528.jpg",
"dataset/ACRIMA/216.jpg",
"dataset/ACRIMA/24.jpg",
"dataset/ACRIMA/33.jpg"
] | null | null | null | null | null |
LanZiyun_MMAC_000219 | Lan Ziyun | MMAC | multiple_response | 1a | myopic maculopathy | From options A, B, C, and D in <image>, select all fundus images that show signs of myopic maculopathy (grade > 0). Please provide your answer using only the option letters (e.g., B or ABD). | dataset/MMAC/merge_mmac_mr_000219.jpg | AB | pathological_myopia | {
"A": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_0626.png",
"B": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_0179.png",
"C": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. ... | null | null | null | null | null | null |
LanZiyun_MMAC_002971 | Lan Ziyun | MMAC | judgement | 2a | myopic maculopathy | Does the fundus image <image> show signs of myopic maculopathy (grade > 0)? Please answer with 'Yes' or 'No'. | dataset/MMAC/mmac_task_1_train_0750.jpg | Yes | pathological_myopia | {
"S": "dataset_raw/MMAC/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_0750.png"
} | null | null | null | null | dataset_raw/1. Classification of Myopic Maculopathy/1. Images/1. Training Set/mmac_task_1_train_0750.png | null |
LanZiyun_Cataract_4437 | Lan Ziyun | Cataract | judgement | 2b | cataract | The provided fundus image <image> shows the findings described below: cataract? You must output only Yes or No, without any other explanation, punctuation, or text. | dataset/Cataract/230.jpg | No | cataract | {
"S": "dataset_raw/Cataract/NL_230.png"
} | [
"dataset/Cataract/230.jpg"
] | null | null | null | null | null |
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