id stringlengths 9 9 | question stringclasses 284 values | options listlengths 0 15 | answer stringlengths 1 1.49k | images listlengths 1 18 | question_type stringclasses 3 values | field stringclasses 5 values | lang stringclasses 2 values |
|---|---|---|---|---|---|---|---|
E001/0006 | <image> <image> <image> <image> <image> <image> <image> <image> The first image is the IR069 image, the second image is the IR107 image, the third to eighth images are VIL images, corresponding to options A to F. Which VIL image best matches the content shown in the IR069 and IR107 images? | [] | ['B'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_ir069_S744384_ir069_5f2a3617a706e3d93ffedcbde795317d.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_ir107_S744384_ir107_c2faa6f2567668ea675d5273ba41c71f.png",
"/fs-computility/ai4sData/earth-shared... | mcq | earth | en |
E001/0007 | <image> <image> <image> <image> <image> <image> <image> <image> The first image is the IR069 image, the second image is the IR107 image, the third to eighth images are VIL images, corresponding to options A to F. Which VIL image best matches the content shown in the IR069 and IR107 images? | [] | ['E'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_ir069_S763628_ir069_6f91a6ec8482238e9ba44d0fe7f8c8d9.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_ir107_S763628_ir107_c6e1c8c14573af5e2389026192ae324b.png",
"/fs-computility/ai4sData/earth-shared... | mcq | earth | en |
E001/0008 | <image> <image> <image> <image> <image> <image> <image> <image> The first image is the IR069 image, the second image is the IR107 image, the third to eighth images are VIL images, corresponding to options A to F. Which VIL image best matches the content shown in the IR069 and IR107 images? | [] | ['D'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_ir069_S744002_ir069_8cf3b173527cc9e01927225a88bc4955.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_ir107_S744002_ir107_49295da41fa82375b7e9bd0499aef27b.png",
"/fs-computility/ai4sData/earth-shared... | mcq | earth | en |
E001/0009 | <image> <image> <image> <image> <image> <image> <image> <image> The first image is the IR069 image, the second image is the IR107 image, the third to eighth images are VIL images, corresponding to options A to F. Which VIL image best matches the content shown in the IR069 and IR107 images? | [] | ['A'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_ir069_S745416_ir069_d9b056446537bd4af970ac6995b50cef.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_ir107_S745416_ir107_f6602d82fc033e2684c0de04bec399a7.png",
"/fs-computility/ai4sData/earth-shared... | mcq | earth | en |
E001/0010 | <image> <image> <image> <image> <image> <image> <image> <image> The first image is the IR069 image, the second image is the IR107 image, the third to eighth images are VIL images, corresponding to options A to F. Which VIL image best matches the content shown in the IR069 and IR107 images? | [] | ['B'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_ir069_S761799_ir069_a6a1efa0611436423f7d0117abcdcdd7.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_ir107_S761799_ir107_5026f546a7bdd67b2a8f900dc9d1b131.png",
"/fs-computility/ai4sData/earth-shared... | mcq | earth | en |
E001/0011 | <image> <image> <image> <image> <image> <image> <image> <image> The first image is the IR069 image, the second image is the IR107 image, the third to eighth images are VIL images, corresponding to options A to F. Which VIL image best matches the content shown in the IR069 and IR107 images? | [] | ['E'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_ir069_S750773_ir069_6940f7285b2f125ffbdbc5931fd12955.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_ir107_S750773_ir107_1f76cb503a4c1ad2d4cd90ce12cddc4a.png",
"/fs-computility/ai4sData/earth-shared... | mcq | earth | en |
E001/0012 | <image> <image> <image> <image> <image> <image> <image> <image> The first image is the IR069 image, the second image is the IR107 image, the third to eighth images are VIL images, corresponding to options A to F. Which VIL image best matches the content shown in the IR069 and IR107 images? | [] | ['E'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_ir069_S758297_ir069_315f827f0893f51ecb4c5701796febde.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_ir107_S758297_ir107_cdcef8175d5ae1dced3731c45304e58f.png",
"/fs-computility/ai4sData/earth-shared... | mcq | earth | en |
E001/0013 | <image> <image> <image> <image> <image> <image> <image> <image> The first image is the IR069 image, the second image is the IR107 image, the third to eighth images are VIL images, corresponding to options A to F. Which VIL image best matches the content shown in the IR069 and IR107 images? | [] | ['D'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_ir069_S769710_ir069_6c81e8e241b7a3813f8bd3bccd51d668.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_ir107_S769710_ir107_6e62ad3cc1dbad22ecdf876cefc2dcd9.png",
"/fs-computility/ai4sData/earth-shared... | mcq | earth | en |
E001/0014 | <image> <image> <image> <image> <image> <image> <image> <image> The first image is the IR069 image, the second image is the IR107 image, the third to eighth images are VIL images, corresponding to options A to F. Which VIL image best matches the content shown in the IR069 and IR107 images? | [] | ['A'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_ir069_S762188_ir069_fd5896f366ed727a7dc1319a3d8f2d66.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_ir107_S762188_ir107_d99f1fcf884a55862512f474832ece9d.png",
"/fs-computility/ai4sData/earth-shared... | mcq | earth | en |
E011/0000 | <image> Detect all the ships shown in the remote sensing image and describle using horizontal bounding box.
Each bounding box is represented by four numbers, corresponding to the positions x_min, y_min, x_max, and y_max. The coordinate origin is located at the top-left corner of the image, and the bottom-right corner has coordinates (1, 1). Therefore, both x and y range from 0 to 1. In the final output, two bounding boxes are separated by a semicolon, and all bounding boxes are enclosed in square brackets. Here is an example output: "[x1_min, y1_min, x1_max, y1_max; x2_min, y2_min, x2_max, y2_max]" (no quotation marks) | [] | [0.95,0.37,1.00,0.39;0.69,0.53,0.79,0.56;0.36,0.06,0.46,0.09;0.85,0.88,0.91,0.91;0.29,0.97,0.34,1.00;0.04,0.54,0.07,0.59] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E011_dataset_P0046_600_1400_3600_4400_650edbdf89a83eed14b2fcd60c34c697.jpg"
] | open_ended | earth | en |
E011/0001 | <image> Detect all the ships shown in the remote sensing image and describle using horizontal bounding box.
Each bounding box is represented by four numbers, corresponding to the positions x_min, y_min, x_max, and y_max. The coordinate origin is located at the top-left corner of the image, and the bottom-right corner has coordinates (1, 1). Therefore, both x and y range from 0 to 1. In the final output, two bounding boxes are separated by a semicolon, and all bounding boxes are enclosed in square brackets. Here is an example output: "[x1_min, y1_min, x1_max, y1_max; x2_min, y2_min, x2_max, y2_max]" (no quotation marks) | [] | [0.71,0.27,0.80,0.32;0.62,0.83,0.66,0.90] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E011_dataset_P0080_1800_2600_3600_4400_3d3b408a6d50836038f74e080be570ef.jpg"
] | open_ended | earth | en |
E011/0002 | <image> Detect all the ships shown in the remote sensing image and describle using horizontal bounding box.
Each bounding box is represented by four numbers, corresponding to the positions x_min, y_min, x_max, and y_max. The coordinate origin is located at the top-left corner of the image, and the bottom-right corner has coordinates (1, 1). Therefore, both x and y range from 0 to 1. In the final output, two bounding boxes are separated by a semicolon, and all bounding boxes are enclosed in square brackets. Here is an example output: "[x1_min, y1_min, x1_max, y1_max; x2_min, y2_min, x2_max, y2_max]" (no quotation marks) | [] | [0.52,0.34,0.57,0.40;0.36,0.79,0.40,0.85;0.59,0.81,0.65,0.87;0.20,0.00,0.22,0.01;0.17,0.55,0.23,0.61;0.15,0.20,0.22,0.25;0.76,0.11,0.79,0.16] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E011_dataset_P0044_1200_2000_4800_5600_883f16379a740449fd799340b219cb54.jpg"
] | open_ended | earth | en |
E011/0003 | <image> Detect all the ships shown in the remote sensing image and describle using horizontal bounding box.
Each bounding box is represented by four numbers, corresponding to the positions x_min, y_min, x_max, and y_max. The coordinate origin is located at the top-left corner of the image, and the bottom-right corner has coordinates (1, 1). Therefore, both x and y range from 0 to 1. In the final output, two bounding boxes are separated by a semicolon, and all bounding boxes are enclosed in square brackets. Here is an example output: "[x1_min, y1_min, x1_max, y1_max; x2_min, y2_min, x2_max, y2_max]" (no quotation marks) | [] | [0.57,0.81,0.60,0.87;0.78,0.70,0.80,0.76;0.88,0.09,0.90,0.15;0.47,0.03,0.53,0.06;0.58,0.06,0.60,0.07;0.76,0.90,0.79,0.95] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E011_dataset_P0013_0_800_8189_8989_c1684d996cbeda252e8c9ae21cda7975.jpg"
] | open_ended | earth | en |
E011/0004 | <image> Detect all the ships shown in the remote sensing image and describle using horizontal bounding box.
Each bounding box is represented by four numbers, corresponding to the positions x_min, y_min, x_max, and y_max. The coordinate origin is located at the top-left corner of the image, and the bottom-right corner has coordinates (1, 1). Therefore, both x and y range from 0 to 1. In the final output, two bounding boxes are separated by a semicolon, and all bounding boxes are enclosed in square brackets. Here is an example output: "[x1_min, y1_min, x1_max, y1_max; x2_min, y2_min, x2_max, y2_max]" (no quotation marks) | [] | [0.75,0.81,0.83,0.84] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E011_dataset_P0005_1800_2600_600_1400_7f448a41f0d74af412dd22142eb784cf.jpg"
] | open_ended | earth | en |
E011/0005 | <image> Detect all the ships shown in the remote sensing image and describle using horizontal bounding box.
Each bounding box is represented by four numbers, corresponding to the positions x_min, y_min, x_max, and y_max. The coordinate origin is located at the top-left corner of the image, and the bottom-right corner has coordinates (1, 1). Therefore, both x and y range from 0 to 1. In the final output, two bounding boxes are separated by a semicolon, and all bounding boxes are enclosed in square brackets. Here is an example output: "[x1_min, y1_min, x1_max, y1_max; x2_min, y2_min, x2_max, y2_max]" (no quotation marks) | [] | [0.77,0.37,0.81,0.44] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E011_dataset_P0041_2400_3200_3000_3800_e889ad443d0bdad3c42bb92905a7264a.jpg"
] | open_ended | earth | en |
E011/0006 | <image> Detect all the ships shown in the remote sensing image and describle using horizontal bounding box.
Each bounding box is represented by four numbers, corresponding to the positions x_min, y_min, x_max, and y_max. The coordinate origin is located at the top-left corner of the image, and the bottom-right corner has coordinates (1, 1). Therefore, both x and y range from 0 to 1. In the final output, two bounding boxes are separated by a semicolon, and all bounding boxes are enclosed in square brackets. Here is an example output: "[x1_min, y1_min, x1_max, y1_max; x2_min, y2_min, x2_max, y2_max]" (no quotation marks) | [] | [0.01,0.50,0.07,0.55;0.47,0.58,0.54,0.64;0.21,0.13,0.27,0.18;0.74,0.16,0.81,0.21] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E011_dataset_P0072_600_1400_4800_5600_59a12054f5ab8992d6c44d33aedf7d86.jpg"
] | open_ended | earth | en |
E011/0007 | <image> Detect all the ships shown in the remote sensing image and describle using horizontal bounding box.
Each bounding box is represented by four numbers, corresponding to the positions x_min, y_min, x_max, and y_max. The coordinate origin is located at the top-left corner of the image, and the bottom-right corner has coordinates (1, 1). Therefore, both x and y range from 0 to 1. In the final output, two bounding boxes are separated by a semicolon, and all bounding boxes are enclosed in square brackets. Here is an example output: "[x1_min, y1_min, x1_max, y1_max; x2_min, y2_min, x2_max, y2_max]" (no quotation marks) | [] | [0.63,0.36,0.69,0.42;0.03,0.72,0.07,0.76] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E011_dataset_P0033_2400_3200_3600_4400_ea85c3b2e055cc2c8fc4314f42aeab7c.jpg"
] | open_ended | earth | en |
E011/0008 | <image> Detect all the ships shown in the remote sensing image and describle using horizontal bounding box.
Each bounding box is represented by four numbers, corresponding to the positions x_min, y_min, x_max, and y_max. The coordinate origin is located at the top-left corner of the image, and the bottom-right corner has coordinates (1, 1). Therefore, both x and y range from 0 to 1. In the final output, two bounding boxes are separated by a semicolon, and all bounding boxes are enclosed in square brackets. Here is an example output: "[x1_min, y1_min, x1_max, y1_max; x2_min, y2_min, x2_max, y2_max]" (no quotation marks) | [] | [0.14,0.00,0.23,0.19] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E011_dataset_P0096_2400_3200_0_800_f6f4c46fe1bb973e12e3c690b28fb04d.jpg"
] | open_ended | earth | en |
E011/0009 | <image> Detect all the ships shown in the remote sensing image and describle using horizontal bounding box.
Each bounding box is represented by four numbers, corresponding to the positions x_min, y_min, x_max, and y_max. The coordinate origin is located at the top-left corner of the image, and the bottom-right corner has coordinates (1, 1). Therefore, both x and y range from 0 to 1. In the final output, two bounding boxes are separated by a semicolon, and all bounding boxes are enclosed in square brackets. Here is an example output: "[x1_min, y1_min, x1_max, y1_max; x2_min, y2_min, x2_max, y2_max]" (no quotation marks) | [] | [0.88,0.68,0.99,0.70;0.43,0.93,0.53,0.96] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E011_dataset_P0040_1800_2600_4800_5600_4929a689d360862a522a12f04b57861c.jpg"
] | open_ended | earth | en |
E011/0010 | <image> Detect all the ships shown in the remote sensing image and describle using horizontal bounding box.
Each bounding box is represented by four numbers, corresponding to the positions x_min, y_min, x_max, and y_max. The coordinate origin is located at the top-left corner of the image, and the bottom-right corner has coordinates (1, 1). Therefore, both x and y range from 0 to 1. In the final output, two bounding boxes are separated by a semicolon, and all bounding boxes are enclosed in square brackets. Here is an example output: "[x1_min, y1_min, x1_max, y1_max; x2_min, y2_min, x2_max, y2_max]" (no quotation marks) | [] | [0.42,0.06,0.47,0.09] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E011_dataset_P0134_6000_6800_5400_6200_4afbb75cfc8faf83bb467dc66cfac1fa.jpg"
] | open_ended | earth | en |
E011/0011 | <image> Detect all the ships shown in the remote sensing image and describle using horizontal bounding box.
Each bounding box is represented by four numbers, corresponding to the positions x_min, y_min, x_max, and y_max. The coordinate origin is located at the top-left corner of the image, and the bottom-right corner has coordinates (1, 1). Therefore, both x and y range from 0 to 1. In the final output, two bounding boxes are separated by a semicolon, and all bounding boxes are enclosed in square brackets. Here is an example output: "[x1_min, y1_min, x1_max, y1_max; x2_min, y2_min, x2_max, y2_max]" (no quotation marks) | [] | [0.01,0.28,0.04,0.34] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E011_dataset_P0037_4200_5000_3000_3800_0e698adc6f1adedd98afa4aac819d55a.jpg"
] | open_ended | earth | en |
E011/0012 | <image> Detect all the ships shown in the remote sensing image and describle using horizontal bounding box.
Each bounding box is represented by four numbers, corresponding to the positions x_min, y_min, x_max, and y_max. The coordinate origin is located at the top-left corner of the image, and the bottom-right corner has coordinates (1, 1). Therefore, both x and y range from 0 to 1. In the final output, two bounding boxes are separated by a semicolon, and all bounding boxes are enclosed in square brackets. Here is an example output: "[x1_min, y1_min, x1_max, y1_max; x2_min, y2_min, x2_max, y2_max]" (no quotation marks) | [] | [0.66,0.96,0.71,1.00;0.36,0.17,0.41,0.23;0.74,0.21,0.78,0.27] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E011_dataset_P0029_3000_3800_3600_4400_73dfb1e1d7cd2612db8e5f26b2b9e368.jpg"
] | open_ended | earth | en |
E011/0013 | <image> Detect all the ships shown in the remote sensing image and describle using horizontal bounding box.
Each bounding box is represented by four numbers, corresponding to the positions x_min, y_min, x_max, and y_max. The coordinate origin is located at the top-left corner of the image, and the bottom-right corner has coordinates (1, 1). Therefore, both x and y range from 0 to 1. In the final output, two bounding boxes are separated by a semicolon, and all bounding boxes are enclosed in square brackets. Here is an example output: "[x1_min, y1_min, x1_max, y1_max; x2_min, y2_min, x2_max, y2_max]" (no quotation marks) | [] | [0.55,0.35,0.60,0.38] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E011_dataset_P0039_3600_4400_2400_3200_b61e0490cddd5690b5faa8a832c8a935.jpg"
] | open_ended | earth | en |
E011/0014 | <image> Detect all the ships shown in the remote sensing image and describle using horizontal bounding box.
Each bounding box is represented by four numbers, corresponding to the positions x_min, y_min, x_max, and y_max. The coordinate origin is located at the top-left corner of the image, and the bottom-right corner has coordinates (1, 1). Therefore, both x and y range from 0 to 1. In the final output, two bounding boxes are separated by a semicolon, and all bounding boxes are enclosed in square brackets. Here is an example output: "[x1_min, y1_min, x1_max, y1_max; x2_min, y2_min, x2_max, y2_max]" (no quotation marks) | [] | [0.77,0.62,0.81,0.66] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E011_dataset_P0007_3600_4400_2400_3200_a1f306f1d22b49ced7d5b4ceaafb92c8.jpg"
] | open_ended | earth | en |
E021/0000 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose one geographical area(s) most likely to be impacted by the severe weather event from the four options provided. | [
"(A) east Texas",
"(B) east-central Minnesota into northwest Wisconsin",
"(C) southern Indiana into Kentucky",
"(D) eastern and middle Tennessee into northwestern Alabama and northern Mississippi"
] | ['A'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_0-6km wind shear magnitude_0_b4fb1670155504e73e99085878d87272.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Supercell Composite Parameter_0_b327eda861aa5f4f9725ef3cd8cfb712.png",
"/fs-computility/... | mcq | earth | en |
E021/0001 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose one geographical area(s) most likely to be impacted by the severe weather event from the four options provided. | [
"(A) south-central to southeast TX",
"(B) Southern Tennessee...Alabama...Western Georgia",
"(C) parts of west Texas",
"(D) much of Pennsylvania...Maryland...West Virginia...and western through northern Virginia"
] | ['D'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_0-6km wind shear magnitude_1_34ff62dd225cb7a08b934e6663a76523.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Supercell Composite Parameter_1_31b5aaf22789708e07ddb12c58c7ac8e.png",
"/fs-computility/... | mcq | earth | en |
E021/0002 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose one geographical area(s) most likely to be impacted by the severe weather event from the four options provided. | [
"(A) far southeast CO...western KS and portions of the OK Panhandle",
"(B) Southern Kansas...Northern and Central Oklahoma",
"(C) Southeast Alabama/far western Georgia",
"(D) Central FL Panhandle...Southeast AL...Southwest GA"
] | ['C'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_0-6km wind shear magnitude_2_19208df50cd12d76ba1615be5d97047e.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Supercell Composite Parameter_2_155eaedf7df55394ed52a631aa6f32d1.png",
"/fs-computility/... | mcq | earth | en |
E021/0003 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose one geographical area(s) most likely to be impacted by the severe weather event from the four options provided. | [
"(A) South-Central NE",
"(B) Portions of southwest and south-central South Dakota",
"(C) Central/Eastern PA...Western/Central MD...Far Northern VA...Eastern WV Panhandle...South-Central NY",
"(D) portions of central Louisiana into Mississippi"
] | ['C'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_0-6km wind shear magnitude_3_4b0c3a9f64d0518d140357976ed58f8a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Supercell Composite Parameter_3_361a0d233d1046a915525362caff35df.png",
"/fs-computility/... | mcq | earth | en |
E021/0004 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose one geographical area(s) most likely to be impacted by the severe weather event from the four options provided. | [
"(A) Eastern Maine",
"(B) Southwest Texas",
"(C) Louisiana...Southwest Mississippi",
"(D) northern Arkansas and adjacent southern Missouri"
] | ['B'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_0-6km wind shear magnitude_4_795ed2652a2b9ebe1151fb14104b4da2.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Supercell Composite Parameter_4_01b623018cda729b902719594575dade.png",
"/fs-computility/... | mcq | earth | en |
E021/0005 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose one geographical area(s) most likely to be impacted by the severe weather event from the four options provided. | [
"(A) for parts of southwest and central KS",
"(B) Lubbock...TX and vicinity",
"(C) Parts of south central Oklahoma",
"(D) East Georgia...southern into central South Carolina"
] | ['C'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_0-6km wind shear magnitude_5_2ddb6c62974925a040e9d12dcbb66f75.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Supercell Composite Parameter_5_1388006cb500b72dd5ac5749d076c9f7.png",
"/fs-computility/... | mcq | earth | en |
E021/0006 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose one geographical area(s) most likely to be impacted by the severe weather event from the four options provided. | [
"(A) Central/North-Central TX",
"(B) Southern Oklahoma through north Central Texas",
"(C) south-central NE...north-central KS",
"(D) Parts of eastern Pennsylvania...northern New Jersey...eastern New York State...western New England"
] | ['B'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_0-6km wind shear magnitude_6_2583e069877615c080f3c7d891d95b73.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Supercell Composite Parameter_6_623a4361ad507c106600a85fcef32ac0.png",
"/fs-computility/... | mcq | earth | en |
E021/0007 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose one geographical area(s) most likely to be impacted by the severe weather event from the four options provided. | [
"(A) the southern half of Oklahoma",
"(B) Portions of southeast Minnesota...northeast Iowa...western Wisconsin",
"(C) Northeast Kansas and northwest Missouri",
"(D) South Carolina through extreme southern North Carolina"
] | ['B'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_0-6km wind shear magnitude_7_6e597ed91fe3abd7eaa11e8ed7585421.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Supercell Composite Parameter_7_12ee5184ba78935ed6476b7e479a07df.png",
"/fs-computility/... | mcq | earth | en |
E021/0008 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose one geographical area(s) most likely to be impacted by the severe weather event from the four options provided. | [
"(A) southern/eastern North Carolina and northeastern South Carolina",
"(B) Central Kansas and Oklahoma",
"(C) portions of northeast Iowa into far southwest Wisconsin",
"(D) Far southeast Nebraska...northeast Kansas...extreme northwest Missouri"
] | ['A'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_0-6km wind shear magnitude_8_f2e71b2c16c1be06c1b94cd413b1f824.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Supercell Composite Parameter_8_33857710f9b9de7f726ed9750606afa1.png",
"/fs-computility/... | mcq | earth | en |
E021/0009 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose one geographical area(s) most likely to be impacted by the severe weather event from the four options provided. | [
"(A) Portions of NE...northeast CO...extreme northwest KS",
"(B) Central OK into North TX",
"(C) Parts of central Texas into the Ark-La-Tex",
"(D) much of eastern Colorado...southeast Wyoming...southwest Nebraska...far western Kansas"
] | ['D'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_0-6km wind shear magnitude_9_5f30f7e71021ec8095a73526c7e28fee.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Supercell Composite Parameter_9_7ed6363c7fad6ea514572c3bc11553d8.png",
"/fs-computility/... | mcq | earth | en |
E021/0010 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose one geographical area(s) most likely to be impacted by the severe weather event from the four options provided. | [
"(A) Portions of far southern Lower MI...northeastern IN...and northern OH",
"(B) portions of northeast Nevada into northwestern Utah...southeast Idaho...western Wyoming",
"(C) far eastern AR...the MO Bootheel and portions of western TN into northern MS",
"(D) parts of the Pecos Valley region of Texas"
] | ['C'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_0-6km wind shear magnitude_10_3e48db91ab02d5a31c9dbdd96c22dc39.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Supercell Composite Parameter_10_e56f9b633f94670fbabbf7c8393b7cd2.png",
"/fs-computilit... | mcq | earth | en |
E021/0011 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose one geographical area(s) most likely to be impacted by the severe weather event from the four options provided. | [
"(A) Southeast Ohio...Northwest West Virginia",
"(B) western/central/southeast PA...northern MD...northern DE",
"(C) Southeast OH...North/Northeast WV...Much of PA and MD...Far Northern VA",
"(D) Portions of eastern Arkansas...the Missouri Bootheel...western Tennessee...and northern Mississippi"
] | ['B'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_0-6km wind shear magnitude_11_16f4f5c2c02dd3e82866ad72cdf5264f.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Supercell Composite Parameter_11_00967a89d3ddbf669783b5e37b19f07e.png",
"/fs-computilit... | mcq | earth | en |
E021/0012 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose one geographical area(s) most likely to be impacted by the severe weather event from the four options provided. | [
"(A) Far Northeast Oklahoma...Northwest Arkansas...Far Southwest Missouri",
"(B) Portions of southern WI and northern IL",
"(C) Northern Maine",
"(D) southeastern Oklahoma southward across the Dallas-Fort Worth Metroplex"
] | ['C'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_0-6km wind shear magnitude_12_114f2ca85f45630556ec3551f8f954fe.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Supercell Composite Parameter_12_4e981f1a62b4c0bb1d1983f04746bc12.png",
"/fs-computilit... | mcq | earth | en |
E021/0013 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose one geographical area(s) most likely to be impacted by the severe weather event from the four options provided. | [
"(A) Southwestern into South Central Kansas.",
"(B) Parts of southeastern AR and northwestern MS",
"(C) Central TX",
"(D) Southeast North Dakota...far northeast South Dakota...and western Minnesota"
] | ['C'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_0-6km wind shear magnitude_13_b2912150f0edd8796af1b26904ff5b12.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Supercell Composite Parameter_13_8bf51298a65757641483dd69dbc7db4b.png",
"/fs-computilit... | mcq | earth | en |
E021/0014 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose one geographical area(s) most likely to be impacted by the severe weather event from the four options provided. | [
"(A) western New York into northern Pennsylvania",
"(B) Southeast Missouri...Northeast Arkansas...Western Tip of Kentucky...Western Tennessee",
"(C) northeast Georgia through the Carolinas",
"(D) portions of southern Alabama and th western Florida panhandle"
] | ['C'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_0-6km wind shear magnitude_14_e304ea92baa93025e37942c71b2118c4.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Supercell Composite Parameter_14_538adec555f6ecfcf85effb0997ab5e2.png",
"/fs-computilit... | mcq | earth | en |
E021/0015 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose one geographical area(s) most likely to be impacted by the severe weather event from the four options provided. | [
"(A) parts of southeastern FL",
"(B) northern LA and the Ark-La-Tex region",
"(C) Central and Eastern Ohio...Western and Central Pennsylvania and Northern West Virginia",
"(D) Portions of southern Texas"
] | ['D'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_0-6km wind shear magnitude_15_f842af8b528a2c96ea31e762d9183381.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Supercell Composite Parameter_15_41848e5e38174f2da6d76857674a691f.png",
"/fs-computilit... | mcq | earth | en |
E021/0016 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose one geographical area(s) most likely to be impacted by the severe weather event from the four options provided. | [
"(A) Central NY",
"(B) parts of southwestern South Dakota into the Nebraska Panhandle",
"(C) South Central Kansas...Northwest Oklahoma...Northeast Texas Panhandle",
"(D) northeast and east-central OH...WV Panhandle...western PA"
] | ['A'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_0-6km wind shear magnitude_16_c5c5fadc5da9e765bbd4c173720a22e5.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Supercell Composite Parameter_16_93eec077929ab9c3b2da269ea1f0ed77.png",
"/fs-computilit... | mcq | earth | en |
E021/0017 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose one geographical area(s) most likely to be impacted by the severe weather event from the four options provided. | [
"(A) Northern Nebraska and southeast South Dakota",
"(B) Northeast Kansas...Far Southeast Nebraska...Northwest Missouri",
"(C) portions of the Midwest",
"(D) Portions of southwest Missouri into western Arkansas and far eastern Oklahoma"
] | ['D'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_0-6km wind shear magnitude_17_a66ef8a8e3c8eb7e99dd1cf7c1112805.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Supercell Composite Parameter_17_f19dd391fdc07721e0de1395aa0dcf2e.png",
"/fs-computilit... | mcq | earth | en |
E021/0018 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose one geographical area(s) most likely to be impacted by the severe weather event from the four options provided. | [
"(A) Portions of central/eastern MS into west-central AL",
"(B) Central and Northeast KS",
"(C) Southern WY...Far Southwest SD...Far Northwest NE Panhandle",
"(D) Parts of eastern TN...Western NC...Far northern GA...Upstate SC"
] | ['C'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_0-6km wind shear magnitude_18_3a033e95c927359d90fc96f15b9b5e59.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Supercell Composite Parameter_18_e69e6317ee7c7409f445d0877b9ff7b4.png",
"/fs-computilit... | mcq | earth | en |
E021/0019 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose one geographical area(s) most likely to be impacted by the severe weather event from the four options provided. | [
"(A) Eastern Colorado into far northwest Kansas.",
"(B) northeast Tennessee through eastern Kentucky...southeast Illinois and far southwest Ohio",
"(C) Northeast Wyoming...far southwest North Dakota...western South Dakota...and the northwest Nebraska Panhandle.",
"(D) north central South Dakota...southern Nor... | ['D'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_0-6km wind shear magnitude_19_ede44ea9d3b87d0d6bcf901e7e59a418.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Supercell Composite Parameter_19_b0b5f7db3642e31f71d94fbe5e6bf9d7.png",
"/fs-computilit... | mcq | earth | en |
E022/0000 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose the most likely scenario regarding severe weather concerns from the options provided. Options include whether a convective watch has benn issued, the probability of a future watch, or, in winter, potential weather phenomena related to winter storms. | [
"(A) Severe potential...Watch unlikely (confidence level on the expectation of a watch is 5 or 20%)",
"(B) Severe potential...Watch possible (confidence level on the expectation of a watch is 40 or 60%)",
"(C) Severe potential...Watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(D)... | E | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_0-6km wind shear magnitude_0_b4fb1670155504e73e99085878d87272.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Supercell Composite Parameter_0_b327eda861aa5f4f9725ef3cd8cfb712.png",
"/fs-computility/... | mcq | earth | en |
E022/0001 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose the most likely scenario regarding severe weather concerns from the options provided. Options include whether a convective watch has benn issued, the probability of a future watch, or, in winter, potential weather phenomena related to winter storms. | [
"(A) Severe potential...Watch unlikely (confidence level on the expectation of a watch is 5 or 20%)",
"(B) Severe potential...Watch possible (confidence level on the expectation of a watch is 40 or 60%)",
"(C) Severe potential...Watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(D)... | A | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_0-6km wind shear magnitude_1_34ff62dd225cb7a08b934e6663a76523.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Supercell Composite Parameter_1_31b5aaf22789708e07ddb12c58c7ac8e.png",
"/fs-computility/... | mcq | earth | en |
E022/0002 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose the most likely scenario regarding severe weather concerns from the options provided. Options include whether a convective watch has benn issued, the probability of a future watch, or, in winter, potential weather phenomena related to winter storms. | [
"(A) Severe potential...Watch unlikely (confidence level on the expectation of a watch is 5 or 20%)",
"(B) Severe potential...Watch possible (confidence level on the expectation of a watch is 40 or 60%)",
"(C) Severe potential...Watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(D)... | A | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_0-6km wind shear magnitude_2_19208df50cd12d76ba1615be5d97047e.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Supercell Composite Parameter_2_155eaedf7df55394ed52a631aa6f32d1.png",
"/fs-computility/... | mcq | earth | en |
E022/0003 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose the most likely scenario regarding severe weather concerns from the options provided. Options include whether a convective watch has benn issued, the probability of a future watch, or, in winter, potential weather phenomena related to winter storms. | [
"(A) Severe potential...Watch unlikely (confidence level on the expectation of a watch is 5 or 20%)",
"(B) Severe potential...Watch possible (confidence level on the expectation of a watch is 40 or 60%)",
"(C) Severe potential...Watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(D)... | A | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_0-6km wind shear magnitude_3_4b0c3a9f64d0518d140357976ed58f8a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Supercell Composite Parameter_3_361a0d233d1046a915525362caff35df.png",
"/fs-computility/... | mcq | earth | en |
E022/0004 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose the most likely scenario regarding severe weather concerns from the options provided. Options include whether a convective watch has benn issued, the probability of a future watch, or, in winter, potential weather phenomena related to winter storms. | [
"(A) Severe potential...Watch unlikely (confidence level on the expectation of a watch is 5 or 20%)",
"(B) Severe potential...Watch possible (confidence level on the expectation of a watch is 40 or 60%)",
"(C) Severe potential...Watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(D)... | C | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_0-6km wind shear magnitude_4_795ed2652a2b9ebe1151fb14104b4da2.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Supercell Composite Parameter_4_01b623018cda729b902719594575dade.png",
"/fs-computility/... | mcq | earth | en |
E022/0005 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose the most likely scenario regarding severe weather concerns from the options provided. Options include whether a convective watch has benn issued, the probability of a future watch, or, in winter, potential weather phenomena related to winter storms. | [
"(A) Severe potential...Watch unlikely (confidence level on the expectation of a watch is 5 or 20%)",
"(B) Severe potential...Watch possible (confidence level on the expectation of a watch is 40 or 60%)",
"(C) Severe potential...Watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(D)... | B | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_0-6km wind shear magnitude_5_2ddb6c62974925a040e9d12dcbb66f75.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Supercell Composite Parameter_5_1388006cb500b72dd5ac5749d076c9f7.png",
"/fs-computility/... | mcq | earth | en |
E022/0006 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose the most likely scenario regarding severe weather concerns from the options provided. Options include whether a convective watch has benn issued, the probability of a future watch, or, in winter, potential weather phenomena related to winter storms. | [
"(A) Severe potential...Watch unlikely (confidence level on the expectation of a watch is 5 or 20%)",
"(B) Severe potential...Watch possible (confidence level on the expectation of a watch is 40 or 60%)",
"(C) Severe potential...Watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(D)... | E | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_0-6km wind shear magnitude_6_2583e069877615c080f3c7d891d95b73.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Supercell Composite Parameter_6_623a4361ad507c106600a85fcef32ac0.png",
"/fs-computility/... | mcq | earth | en |
E022/0007 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose the most likely scenario regarding severe weather concerns from the options provided. Options include whether a convective watch has benn issued, the probability of a future watch, or, in winter, potential weather phenomena related to winter storms. | [
"(A) Severe potential...Watch unlikely (confidence level on the expectation of a watch is 5 or 20%)",
"(B) Severe potential...Watch possible (confidence level on the expectation of a watch is 40 or 60%)",
"(C) Severe potential...Watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(D)... | A | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_0-6km wind shear magnitude_7_6e597ed91fe3abd7eaa11e8ed7585421.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Supercell Composite Parameter_7_12ee5184ba78935ed6476b7e479a07df.png",
"/fs-computility/... | mcq | earth | en |
E022/0008 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose the most likely scenario regarding severe weather concerns from the options provided. Options include whether a convective watch has benn issued, the probability of a future watch, or, in winter, potential weather phenomena related to winter storms. | [
"(A) Severe potential...Watch unlikely (confidence level on the expectation of a watch is 5 or 20%)",
"(B) Severe potential...Watch possible (confidence level on the expectation of a watch is 40 or 60%)",
"(C) Severe potential...Watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(D)... | A | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_0-6km wind shear magnitude_8_f2e71b2c16c1be06c1b94cd413b1f824.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Supercell Composite Parameter_8_33857710f9b9de7f726ed9750606afa1.png",
"/fs-computility/... | mcq | earth | en |
E022/0009 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose the most likely scenario regarding severe weather concerns from the options provided. Options include whether a convective watch has benn issued, the probability of a future watch, or, in winter, potential weather phenomena related to winter storms. | [
"(A) Severe potential...Watch unlikely (confidence level on the expectation of a watch is 5 or 20%)",
"(B) Severe potential...Watch possible (confidence level on the expectation of a watch is 40 or 60%)",
"(C) Severe potential...Watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(D)... | C | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_0-6km wind shear magnitude_9_5f30f7e71021ec8095a73526c7e28fee.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Supercell Composite Parameter_9_7ed6363c7fad6ea514572c3bc11553d8.png",
"/fs-computility/... | mcq | earth | en |
E022/0010 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose the most likely scenario regarding severe weather concerns from the options provided. Options include whether a convective watch has benn issued, the probability of a future watch, or, in winter, potential weather phenomena related to winter storms. | [
"(A) Severe potential...Watch unlikely (confidence level on the expectation of a watch is 5 or 20%)",
"(B) Severe potential...Watch possible (confidence level on the expectation of a watch is 40 or 60%)",
"(C) Severe potential...Watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(D)... | A | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_0-6km wind shear magnitude_10_3e48db91ab02d5a31c9dbdd96c22dc39.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Supercell Composite Parameter_10_e56f9b633f94670fbabbf7c8393b7cd2.png",
"/fs-computilit... | mcq | earth | en |
E022/0011 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose the most likely scenario regarding severe weather concerns from the options provided. Options include whether a convective watch has benn issued, the probability of a future watch, or, in winter, potential weather phenomena related to winter storms. | [
"(A) Severe potential...Watch unlikely (confidence level on the expectation of a watch is 5 or 20%)",
"(B) Severe potential...Watch possible (confidence level on the expectation of a watch is 40 or 60%)",
"(C) Severe potential...Watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(D)... | B | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_0-6km wind shear magnitude_11_16f4f5c2c02dd3e82866ad72cdf5264f.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Supercell Composite Parameter_11_00967a89d3ddbf669783b5e37b19f07e.png",
"/fs-computilit... | mcq | earth | en |
E022/0012 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose the most likely scenario regarding severe weather concerns from the options provided. Options include whether a convective watch has benn issued, the probability of a future watch, or, in winter, potential weather phenomena related to winter storms. | [
"(A) Severe potential...Watch unlikely (confidence level on the expectation of a watch is 5 or 20%)",
"(B) Severe potential...Watch possible (confidence level on the expectation of a watch is 40 or 60%)",
"(C) Severe potential...Watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(D)... | A | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_0-6km wind shear magnitude_12_114f2ca85f45630556ec3551f8f954fe.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Supercell Composite Parameter_12_4e981f1a62b4c0bb1d1983f04746bc12.png",
"/fs-computilit... | mcq | earth | en |
E022/0013 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose the most likely scenario regarding severe weather concerns from the options provided. Options include whether a convective watch has benn issued, the probability of a future watch, or, in winter, potential weather phenomena related to winter storms. | [
"(A) Severe potential...Watch unlikely (confidence level on the expectation of a watch is 5 or 20%)",
"(B) Severe potential...Watch possible (confidence level on the expectation of a watch is 40 or 60%)",
"(C) Severe potential...Watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(D)... | A | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_0-6km wind shear magnitude_13_b2912150f0edd8796af1b26904ff5b12.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Supercell Composite Parameter_13_8bf51298a65757641483dd69dbc7db4b.png",
"/fs-computilit... | mcq | earth | en |
E022/0014 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose the most likely scenario regarding severe weather concerns from the options provided. Options include whether a convective watch has benn issued, the probability of a future watch, or, in winter, potential weather phenomena related to winter storms. | [
"(A) Severe potential...Watch unlikely (confidence level on the expectation of a watch is 5 or 20%)",
"(B) Severe potential...Watch possible (confidence level on the expectation of a watch is 40 or 60%)",
"(C) Severe potential...Watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(D)... | C | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_0-6km wind shear magnitude_14_e304ea92baa93025e37942c71b2118c4.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Supercell Composite Parameter_14_538adec555f6ecfcf85effb0997ab5e2.png",
"/fs-computilit... | mcq | earth | en |
E022/0015 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose the most likely scenario regarding severe weather concerns from the options provided. Options include whether a convective watch has benn issued, the probability of a future watch, or, in winter, potential weather phenomena related to winter storms. | [
"(A) Severe potential...Watch unlikely (confidence level on the expectation of a watch is 5 or 20%)",
"(B) Severe potential...Watch possible (confidence level on the expectation of a watch is 40 or 60%)",
"(C) Severe potential...Watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(D)... | A | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_0-6km wind shear magnitude_15_f842af8b528a2c96ea31e762d9183381.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Supercell Composite Parameter_15_41848e5e38174f2da6d76857674a691f.png",
"/fs-computilit... | mcq | earth | en |
E022/0016 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose the most likely scenario regarding severe weather concerns from the options provided. Options include whether a convective watch has benn issued, the probability of a future watch, or, in winter, potential weather phenomena related to winter storms. | [
"(A) Severe potential...Watch unlikely (confidence level on the expectation of a watch is 5 or 20%)",
"(B) Severe potential...Watch possible (confidence level on the expectation of a watch is 40 or 60%)",
"(C) Severe potential...Watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(D)... | A | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_0-6km wind shear magnitude_16_c5c5fadc5da9e765bbd4c173720a22e5.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Supercell Composite Parameter_16_93eec077929ab9c3b2da269ea1f0ed77.png",
"/fs-computilit... | mcq | earth | en |
E022/0017 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose the most likely scenario regarding severe weather concerns from the options provided. Options include whether a convective watch has benn issued, the probability of a future watch, or, in winter, potential weather phenomena related to winter storms. | [
"(A) Severe potential...Watch unlikely (confidence level on the expectation of a watch is 5 or 20%)",
"(B) Severe potential...Watch possible (confidence level on the expectation of a watch is 40 or 60%)",
"(C) Severe potential...Watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(D)... | A | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_0-6km wind shear magnitude_17_a66ef8a8e3c8eb7e99dd1cf7c1112805.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Supercell Composite Parameter_17_f19dd391fdc07721e0de1395aa0dcf2e.png",
"/fs-computilit... | mcq | earth | en |
E022/0018 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose the most likely scenario regarding severe weather concerns from the options provided. Options include whether a convective watch has benn issued, the probability of a future watch, or, in winter, potential weather phenomena related to winter storms. | [
"(A) Severe potential...Watch unlikely (confidence level on the expectation of a watch is 5 or 20%)",
"(B) Severe potential...Watch possible (confidence level on the expectation of a watch is 40 or 60%)",
"(C) Severe potential...Watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(D)... | D | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_0-6km wind shear magnitude_18_3a033e95c927359d90fc96f15b9b5e59.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Supercell Composite Parameter_18_e69e6317ee7c7409f445d0877b9ff7b4.png",
"/fs-computilit... | mcq | earth | en |
E022/0019 | <image> <image> <image> <image> <image> <image> <image> <image> The following 8 figures erpresent weather condition and each figure contains multiple weather parameters. The most important parampeters in each figure is provided as follow:Figure 1: 0-6km wind shear magnitude. Figure 2: Supercell Composite Parameter. Figure 3: 850 mb Temperature Advection. Figure 4: Lifting Condensation Level height. Figure 5: Geostrophic equivalent potential vorticity. Figure 6: 700-500mb lapse rate instability. Figure 7: Mesoscale Convective System maintenance probability. Figure 8: Base Reflectivity Mosaic. Choose the most likely scenario regarding severe weather concerns from the options provided. Options include whether a convective watch has benn issued, the probability of a future watch, or, in winter, potential weather phenomena related to winter storms. | [
"(A) Severe potential...Watch unlikely (confidence level on the expectation of a watch is 5 or 20%)",
"(B) Severe potential...Watch possible (confidence level on the expectation of a watch is 40 or 60%)",
"(C) Severe potential...Watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(D)... | D | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_0-6km wind shear magnitude_19_ede44ea9d3b87d0d6bcf901e7e59a418.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Supercell Composite Parameter_19_b0b5f7db3642e31f71d94fbe5e6bf9d7.png",
"/fs-computilit... | mcq | earth | en |
E006/0000 | <image> <image> The first figure uses shading to represent precipitation. The second figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. What are the sources of moisture for precipitation in the East China region?. | [
"(A) Bohai Sea",
"(B) Yellow Sea",
"(C) East China Sea",
"(D) South China Sea",
"(E) Bay of Bengal"
] | ['D'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_precip_1_0cb1ac6498bc1a73cc242828bdbf2e56.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_mois_1_7625ac02c482eaa7b6d886b2f925ac8e.png"
] | mcq | earth | en |
E006/0001 | <image> <image> The first figure uses shading to represent precipitation. The second figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. What are the sources of moisture for precipitation in the central China region?. | [
"(A) Bohai Sea",
"(B) Yellow Sea",
"(C) East China Sea",
"(D) South China Sea",
"(E) Bay of Bengal"
] | ['C', 'D'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_precip_2_05dd7256d232f5f41a46ca652dbdf275.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_mois_2_dd1fc45f3f1dd0955fa9cd00d808eb76.png"
] | mcq | earth | en |
E006/0002 | <image> <image> The first figure uses shading to represent precipitation. The second figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. What are the sources of moisture for precipitation in the central China region?. | [
"(A) Bohai Sea",
"(B) Yellow Sea",
"(C) East China Sea",
"(D) South China Sea",
"(E) Bay of Bengal"
] | ['B', 'D'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_precip_3_2604c5635d224967f25a71d0b16a92d3.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_mois_3_a4045b197f2d6bbd14ad39ddd0c325d3.png"
] | mcq | earth | en |
E006/0003 | <image> <image> The first figure uses shading to represent precipitation. The second figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. What are the sources of moisture for precipitation in the East China and North China region?. | [
"(A) Bohai Sea",
"(B) Yellow Sea",
"(C) East China Sea",
"(D) South China Sea",
"(E) Bay of Bengal"
] | ['B', 'C', 'D'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_precip_4_d7e555dd792fc5919bfb1b39d829ce2a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_mois_4_f26a6b8e99836ec74fed0dc21e53e925.png"
] | mcq | earth | en |
E006/0004 | <image> <image> The first figure uses shading to represent precipitation. The second figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. What are the sources of moisture for precipitation in the West Yunnan Province?. | [
"(A) Bohai Sea",
"(B) Yellow Sea",
"(C) East China Sea",
"(D) South China Sea",
"(E) Bay of Bengal"
] | ['E'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_precip_5_aff7acf567ee2b525afcdf14bea2025d.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_mois_5_464e692cb6a994afbe0e6c791bc5d958.png"
] | mcq | earth | en |
E006/0005 | <image> <image> The first figure uses shading to represent precipitation. The second figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. What are the sources of moisture for precipitation in the South China region?. | [
"(A) Bohai Sea",
"(B) Yellow Sea",
"(C) East China Sea",
"(D) South China Sea",
"(E) Bay of Bengal"
] | ['B', 'D', 'E'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_precip_6_a00886cb9e335be8382108d1a8182d8f.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_mois_6_355d093646e0027a87b8d1b3e5fc9004.png"
] | mcq | earth | en |
E006/0006 | <image> <image> The first figure uses shading to represent precipitation. The second figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. What are the sources of moisture for precipitation in the North China region?. | [
"(A) Bohai Sea",
"(B) Yellow Sea",
"(C) East China Sea",
"(D) South China Sea",
"(E) Bay of Bengal"
] | ['A', 'B', 'D'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_precip_7_e81fe9df45eaba7788142c1cfa90b232.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_mois_7_0eb1e27032548600238978bd2adadceb.png"
] | mcq | earth | en |
E006/0007 | <image> <image> The first figure uses shading to represent precipitation. The second figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. What are the sources of moisture for precipitation in the East China region?. | [
"(A) Bohai Sea",
"(B) Yellow Sea",
"(C) East China Sea",
"(D) South China Sea",
"(E) Bay of Bengal"
] | ['A', 'B', 'C', 'D'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_precip_8_fc6bef2a0ea3392b99573f88304521f3.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_mois_8_c7b77576ce71d1b5dcad31ee3ee45bdb.png"
] | mcq | earth | en |
E006/0008 | <image> <image> The first figure uses shading to represent precipitation. The second figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. What are the sources of moisture for precipitation in the West China region?. | [
"(A) Bohai Sea",
"(B) Yellow Sea",
"(C) East China Sea",
"(D) South China Sea",
"(E) Bay of Bengal"
] | ['D', 'E'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_precip_9_e583eddb7713096c44d5ace90fccfb09.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_mois_9_7b7545d8b7a2523e6a1aadc3325eee40.png"
] | mcq | earth | en |
E006/0009 | <image> <image> The first figure uses shading to represent precipitation. The second figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. What are the sources of moisture for precipitation in the South China region?. | [
"(A) Bohai Sea",
"(B) Yellow Sea",
"(C) East China Sea",
"(D) South China Sea",
"(E) Bay of Bengal"
] | ['D'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_precip_10_95d7f33abb713cf0fca54832050af194.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_mois_10_1adb4581ccdadd38bdd9f37c3f702f51.png"
] | mcq | earth | en |
E006/0010 | <image> <image> The first figure uses shading to represent precipitation. The second figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. What are the sources of moisture for precipitation in the East China and central China region?. | [
"(A) Bohai Sea",
"(B) Yellow Sea",
"(C) East China Sea",
"(D) South China Sea",
"(E) Bay of Bengal"
] | ['D'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_precip_11_d658cca197e09f46b4ceabdf6a1f777c.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_mois_11_dbbe380ab5ea9aef7c92d6ef741f08a4.png"
] | mcq | earth | en |
E006/0011 | <image> <image> The first figure uses shading to represent precipitation. The second figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. What are the sources of moisture for precipitation in the East China and North China region?. | [
"(A) Bohai Sea",
"(B) Yellow Sea",
"(C) East China Sea",
"(D) South China Sea",
"(E) Bay of Bengal"
] | ['D'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_precip_12_ca35ed190a6896dbfd95a6a8110dbb7d.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E006_dataset_mois_12_e8b23e93d3859dcdcad79ac6c557343f.png"
] | mcq | earth | en |
E007/0000 | <image> The figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. Please identify regions controlled by Western Pacific Subtropical High Ridge from the following options. | [
"(A) Thailand",
"(B) Eastern China",
"(C) Southern China",
"(D) Northern Phillipines",
"(E) India",
"(F) Sri Lanka",
"(G) Malaysia",
"(H) Nepal"
] | ['E', 'F'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E007_dataset_2_dd1fc45f3f1dd0955fa9cd00d808eb76.png"
] | mcq | earth | en |
E007/0001 | <image> The figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. Please identify regions controlled by Western Pacific Subtropical High Ridge from the following options. | [
"(A) Malaysia",
"(B) Thailand",
"(C) Southern China",
"(D) India",
"(E) Vietnam",
"(F) the Phillipines",
"(G) Taiwan Island",
"(H) Cambodia"
] | ['E', 'F', 'H'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E007_dataset_3_a4045b197f2d6bbd14ad39ddd0c325d3.png"
] | mcq | earth | en |
E007/0002 | <image> The figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. Please identify regions controlled by Western Pacific Subtropical High Ridge from the following options. | [
"(A) India",
"(B) Taiwan Island",
"(C) Guangdong Province",
"(D) Laos",
"(E) Vietnam",
"(F) the Phillipines",
"(G) Malaysia",
"(H) Fujian Province"
] | ['A', 'C', 'D', 'E'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E007_dataset_5_464e692cb6a994afbe0e6c791bc5d958.png"
] | mcq | earth | en |
E007/0003 | <image> The figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. Please identify regions controlled by Western Pacific Subtropical High Ridge from the following options. | [
"(A) Burma",
"(B) Tibet Autonomous Region",
"(C) Laos",
"(D) Eastern China",
"(E) Northern Phillipines",
"(F) Malaysia",
"(G) Combodia",
"(H) Vietnam"
] | ['A', 'B', 'E'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E007_dataset_6_355d093646e0027a87b8d1b3e5fc9004.png"
] | mcq | earth | en |
E007/0004 | <image> The figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. Please identify regions controlled by Western Pacific Subtropical High Ridge from the following options. | [
"(A) Vietnam",
"(B) Combodia",
"(C) Thailand",
"(D) Yunnan Province",
"(E) Heilongjiang Province",
"(F) the Phillipines",
"(G) Taiwan Island",
"(H) Korea"
] | ['A', 'B', 'C', 'E'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E007_dataset_7_0eb1e27032548600238978bd2adadceb.png"
] | mcq | earth | en |
E007/0005 | <image> The figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. Please identify regions controlled by Western Pacific Subtropical High Ridge from the following options. | [
"(A) Korea",
"(B) Malaysia",
"(C) Burma",
"(D) Sichuan Province",
"(E) Hainan Island",
"(F) Taiwan Island",
"(G) Sri Lanka",
"(H) Indonesia"
] | ['A', 'C', 'D'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E007_dataset_8_c7b77576ce71d1b5dcad31ee3ee45bdb.png"
] | mcq | earth | en |
E007/0006 | <image> The figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. Please identify regions controlled by Western Pacific Subtropical High Ridge from the following options. | [
"(A) Korea",
"(B) Tibet Autonomous Region",
"(C) Xinjiang",
"(D) Sri Lanka",
"(E) Taiwan Island",
"(F) Malaysia",
"(G) Thailand",
"(H) Vietnam"
] | ['B', 'C'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E007_dataset_9_7b7545d8b7a2523e6a1aadc3325eee40.png"
] | mcq | earth | en |
E007/0007 | <image> The figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. Please identify regions controlled by Western Pacific Subtropical High Ridge from the following options. | [
"(A) Yunnan Province",
"(B) the Phillipines",
"(C) Burma",
"(D) Combodia",
"(E) Vietnam",
"(F) Taiwan Island",
"(G) the East China Sea",
"(H) Korea"
] | ['A', 'C', 'G'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E007_dataset_10_1adb4581ccdadd38bdd9f37c3f702f51.png"
] | mcq | earth | en |
E007/0008 | <image> The figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. Please identify regions controlled by Western Pacific Subtropical High Ridge from the following options. | [
"(A) India",
"(B) Yunnan Province",
"(C) Northern Phillipines",
"(D) Taiwan Island",
"(E) Fujian Province",
"(F) Burma",
"(G) Malaysia",
"(H) Western China"
] | ['A', 'B', 'E', 'F'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E007_dataset_11_dbbe380ab5ea9aef7c92d6ef741f08a4.png"
] | mcq | earth | en |
E007/0009 | <image> The figure shows 500 hPa geopotential height with contour lines, 850 hPa wind field with vectors, and moisture flux with shading. Please identify regions controlled by Western Pacific Subtropical High Ridge from the following options. | [
"(A) Burma",
"(B) the Phillipines",
"(C) Thailand",
"(D) Combodia",
"(E) Guangxi",
"(F) Taiwan Island",
"(G) Hainan Island",
"(H) Malaysia"
] | ['A', 'E'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E007_dataset_12_e8b23e93d3859dcdcad79ac6c557343f.png"
] | mcq | earth | en |
E008/0000 | <image> What is the approximate depth range of the maximum vertical temperature gradient in the figure? | [
"(A) 50-150m",
"(B) 100-200m",
"(C) 150-250m",
"(D) 200-300m"
] | ['A'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E008_thermocline_Bay_of_Bengal_fa42b8d2235d54c2d40b7524e584bb1b.png"
] | mcq | earth | en |
E008/0001 | <image> What is the approximate depth range of the maximum vertical temperature gradient in the figure? | [
"(A) 50-150m",
"(B) 100-200m",
"(C) 150-250m",
"(D) 200-300m"
] | ['A'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E008_thermocline_California_Coast_422927b0f4b0344260b71112979836ac.png"
] | mcq | earth | en |
E008/0002 | <image> What is the approximate depth range of the maximum vertical temperature gradient in the figure? | [
"(A) 50-150m",
"(B) 100-200m",
"(C) 150-250m",
"(D) 200-300m"
] | ['A'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E008_thermocline_Eastern_Equatorial_Pacific_b3a21fee0936051f8c861af511ba4abf.png"
] | mcq | earth | en |
E008/0003 | <image> What is the approximate depth range of the maximum vertical temperature gradient in the figure? | [
"(A) 0-100m",
"(B) 100-200m",
"(C) 200-300m",
"(D) 300-400m"
] | ['A'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E008_thermocline_Gulfstream_3525a1b809ea14f9980e410ec8e41601.png"
] | mcq | earth | en |
E008/0004 | <image> What is the approximate depth range of the maximum vertical temperature gradient in the figure? | [
"(A) 0-100m",
"(B) 100-200m",
"(C) 200-300m",
"(D) 300-400m"
] | ['A'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E008_thermocline_Kuroshio_89357d0e39635367dde8df0261e1dd46.png"
] | mcq | earth | en |
E008/0005 | <image> What is the approximate depth range of the maximum vertical temperature gradient in the figure? | [
"(A) 0-50m",
"(B) 50-100m",
"(C) 100-150m",
"(D) 150-200m"
] | ['A'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E008_thermocline_Labrador_Sea_9386941d2f6bfd2b3c9fa5a1f20d9501.png"
] | mcq | earth | en |
E008/0006 | <image> What is the approximate depth range of the maximum vertical temperature gradient in the figure? | [
"(A) 0-100m",
"(B) 100-200m",
"(C) 200-300m",
"(D) 300-400m"
] | ['A'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E008_thermocline_Mediterranean_1ff4860996ff32a7c5b6c83881ccbaa3.png"
] | mcq | earth | en |
E008/0007 | <image> What is the approximate depth range of the maximum vertical temperature gradient in the figure? | [
"(A) 50-150m",
"(B) 100-200m",
"(C) 150-250m",
"(D) 200-300m"
] | ['A'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E008_thermocline_Peru-Chile_Coast_a305f2a4a2b48a393b4ef3b2fd880c1f.png"
] | mcq | earth | en |
E008/0008 | <image> What is the approximate depth range of the maximum vertical temperature gradient in the figure? | [
"(A) 0-100m",
"(B) 100-200m",
"(C) 200-300m",
"(D) 300-400m"
] | ['A'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E008_thermocline_Red_Sea_875e3a02d32d97689d34f437573000b5.png"
] | mcq | earth | en |
E008/0009 | <image> What is the approximate depth range of the maximum vertical temperature gradient in the figure? | [
"(A) 100-200m",
"(B) 150-250m",
"(C) 200-300m",
"(D) 250-350m"
] | ['A'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E008_thermocline_Western_Pacific_Warm_Pool_2c8a2582a4e12d6c469f497087129768.png"
] | mcq | earth | en |
E016/0000 | <image> Select the two depth ranges with the largest difference between the two data in the figure. | [
"(A) 0-100m",
"(B) 100-200m",
"(C) 200-300m",
"(D) 300-400m"
] | ['B', 'C'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E016_cmip6_cmp_Arabian_Sea_BCC-CSM2-MR_17de979298096c3bdff6944a6d78e571.png"
] | mcq | earth | en |
E016/0001 | <image> Select the two depth ranges with the largest difference between the two data in the figure. | [
"(A) 0-100m",
"(B) 100-200m",
"(C) 200-300m",
"(D) 300-400m"
] | ['C', 'D'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E016_cmip6_cmp_Bay_of_Bengal_BCC-CSM2-MR_ecc00d6b4ccead14e94f8a5c6061e809.png"
] | mcq | earth | en |
E016/0002 | <image> Select the two depth ranges with the largest difference between the two data in the figure. | [
"(A) 0-100m",
"(B) 100-200m",
"(C) 200-300m",
"(D) 300-400m"
] | ['C', 'D'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E016_cmip6_cmp_Caribbean_Sea_BCC-CSM2-MR_bbde0c8c19602b98f071d35f574c4d86.png"
] | mcq | earth | en |
E016/0003 | <image> Select the two depth ranges with the largest difference between the two data in the figure. | [
"(A) 0-100m",
"(B) 100-200m",
"(C) 200-300m",
"(D) 300-400m"
] | ['A', 'B'] | [
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E016_cmip6_cmp_East_Australian_Current_CAS-ESM2-0_7be37c99d0118d760a0ea805d38eae92.png"
] | mcq | earth | en |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.