id
stringlengths 9
9
| question
stringclasses 268
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/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S744384_vil_3_df2dc212b0dc6bf4452b5c8988642719.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_S744384_vil_e797a145e2873eb85bc1baf32f34fbd8.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S744384_vil_4_fd7758abf9fa3c95696476ff2dae939c.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S744384_vil_0_90a9b6cd5fd4c4556eeaf34ebc440f47.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S744384_vil_2_7ee9e2b867ed3896c9fdf8ba3e7335a7.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S744384_vil_1_a4b8bf098293161e1ea5927a1ed49dfa.png"
]
| 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/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S763628_vil_3_68d933229bdb4f01268653dd8a1307cc.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S763628_vil_2_e8f71a5236fadfe191ec23200d996c98.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S763628_vil_1_8f694b9ba2809fffd9953eb7c060c964.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S763628_vil_0_b8c0fa9cc2ba04f2154629f5690cae69.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_S763628_vil_5d34f9bbb75b58052ee22a2677908d23.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S763628_vil_4_3fa89631ec97f12922d05f956fe4396f.png"
]
| 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/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S744002_vil_0_a56995cc643900122da3d343f921a375.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S744002_vil_1_faa58bc13c9b2c3ddc3fbedf31ba43c9.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S744002_vil_2_2a3de0ddf9a78e1d403414c15a17d6c0.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_S744002_vil_7a33e8e4af0a96dfbab18c2ff537ab57.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S744002_vil_3_bc5cce5b6d6a8ad573ac59fb209c8a44.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S744002_vil_4_368628f754f9e8c2900a5519f1130af0.png"
]
| 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/SFE/sfe_dataset/v0/images/E001_dataset_vil_S745416_vil_6c4482cf72a3f37fcf02a08539b716ab.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S745416_vil_0_a8594321fc466fb7343af915a69f494a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S745416_vil_4_9a8f3edc9047f4e03f6749ee20efc4fc.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S745416_vil_1_58187b452bb7ffcd41d2913dd4043d89.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S745416_vil_2_f70789f0799253e69ec10bb56e8cfaf2.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S745416_vil_3_e53f086e6041e5bbc1c46081765b2e77.png"
]
| 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/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S761799_vil_2_aa64cda48354b6edbad2abe2287c3253.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_S761799_vil_6a9220d73139bee1548be0dc804ef88c.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S761799_vil_0_bdb3418197b7d6942ac8af15abbceaba.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S761799_vil_1_9216cd4333a3cb084adfe09ce86e1d05.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S761799_vil_3_4758fa96bc844c6d839d4af4bf180e87.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S761799_vil_4_536b5b51f2d5ef847bd8d4b41bbfbdfb.png"
]
| 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/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S750773_vil_0_8b492f0be5ef2c40afe16020b51777f2.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S750773_vil_3_637a438cc162aefb8cfad1cc4aa00186.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S750773_vil_2_0f34358715eb1ace153e8409d960f530.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S750773_vil_1_3d6b3501b8af8c015c35d331439916a3.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_S750773_vil_1f83c4a812ad783ee6b97a5eaf6ca3ca.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S750773_vil_4_ba700c32381e842169bd594ff58bb0db.png"
]
| 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/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S758297_vil_3_95c728547e4104cc7b0d98e00efca6b6.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S758297_vil_0_1e5696f738b1c24c93c72fb83fd37d64.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S758297_vil_4_c5375542d119f764509cfa45cc998925.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S758297_vil_1_fb4c680ecbde0748c05694a84a2f461b.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_S758297_vil_193ae3cb8636279a8a77027415683b2d.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S758297_vil_2_a3fe34b71862348f23d2cdcb821bec67.png"
]
| 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/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S769710_vil_1_fe710dc0ed4a8d5002555cf108c4bcdb.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S769710_vil_0_6cd2fe04db5e8f7079d17dc064f8551d.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S769710_vil_3_574d4d42af8cd9aa8bebec4440783a93.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_S769710_vil_0565b98443aa1aca26c8374c7205e2d9.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S769710_vil_2_7bff07e36e8f973eb019be1593e10ab3.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S769710_vil_4_faa50c9e3030c6a75bc908e79b4ab98f.png"
]
| 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/SFE/sfe_dataset/v0/images/E001_dataset_vil_S762188_vil_8a3cdee5906c17eb07eec7be73191d3a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S762188_vil_1_d7a35eb0f937a398ba276414216c1dc5.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S762188_vil_2_aebfa8010a2da2bea9d8ec400aad3c56.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S762188_vil_3_085b31e2f7f92c43f0597205364e718d.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S762188_vil_4_43fd5c0803f91ce9d1b79beb46302de4.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E001_dataset_vil_wrong_answers_S762188_vil_0_f112e3dc6e4ab1589c150da5887d6400.png"
]
| 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/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_850 mb Temperature Advection_0_9a9d9996bebc26233a13f409d45b46cc.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Lifting Condensation Level height_0_925698237ec03427f6beb9037ce45a55.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Geostrophic equivalent potential vorticity_0_732e192ba3d4d5a0f6511a13c7f966a5.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_700-500mb lapse rate instability_0_83e0b7117c298ef89bd2b90e766ad78c.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Mesoscale Convective System maintenance probability_0_53f45c6bb1719eb5eb5b7d69e15f9c50.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Base Reflectivity Mosaic_0_c3b676c2b339300ad5528e945c7add1b.png"
]
| 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/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_850 mb Temperature Advection_1_1f6ba69a8afd8e3996ca2930534013ae.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Lifting Condensation Level height_1_8b0fa4556216bd2a2a2efa733d4a1888.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Geostrophic equivalent potential vorticity_1_d80150a123ee98e609413c411f640418.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_700-500mb lapse rate instability_1_755ece99767b93ce05b14312462f7795.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Mesoscale Convective System maintenance probability_1_f008ea695311fab5b54c72a0c33ef283.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Base Reflectivity Mosaic_1_e8974ce9071ff04bac1bb9e96da3cc57.png"
]
| 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/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_850 mb Temperature Advection_2_91340339a3cf87c14956aa4c3717d4ba.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Lifting Condensation Level height_2_3513cbed47d8995ec58e9e84e4d0a547.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Geostrophic equivalent potential vorticity_2_54628dba5f0e0309075a1d1cf4783ff0.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_700-500mb lapse rate instability_2_aa356cff58ab588061306353adce6866.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Mesoscale Convective System maintenance probability_2_0e57277ea32ebc66f44cee5b9ae3b427.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Base Reflectivity Mosaic_2_319f1e9d4abb79b3dc9aebf99d36458f.png"
]
| 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/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_850 mb Temperature Advection_3_13eaec89cbcc9f85375d97fb27b2b3fc.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Lifting Condensation Level height_3_91643957f240842f8c17538a0efe0947.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Geostrophic equivalent potential vorticity_3_b9b898ac39fe9e66a47e065e89d45a0e.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_700-500mb lapse rate instability_3_51e3465b1213b9815aee6596f4fd378d.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Mesoscale Convective System maintenance probability_3_88b50697daf0d5e84d3b99f4755a95d7.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Base Reflectivity Mosaic_3_421b4605ed9b13f1c85184537e7b752d.png"
]
| 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/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_850 mb Temperature Advection_4_63b0ef8649898566235a41932b464c11.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Lifting Condensation Level height_4_7c3e4f53bb32a03e4318c27c045239e9.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Geostrophic equivalent potential vorticity_4_0caa9909625081f94a109a35fb58240a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_700-500mb lapse rate instability_4_6329bae0c28086f9c9d3894be024c968.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Mesoscale Convective System maintenance probability_4_71a881d0d578068830138ee2094db3ce.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Base Reflectivity Mosaic_4_105a17bac53488ee57706ac5e8b3e57c.png"
]
| 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/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_850 mb Temperature Advection_5_e9ba434212557662c7324f8c265adba3.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Lifting Condensation Level height_5_6d50577a38a3bc8ff0e83a95f3be14cc.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Geostrophic equivalent potential vorticity_5_e6f9a4c2ce23ae929cc0ffbcbd083ff1.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_700-500mb lapse rate instability_5_e4e62fe3555cf109030978eaa6903c8a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Mesoscale Convective System maintenance probability_5_ab77ea7bf05b46d1f4233c2f58a9bed5.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Base Reflectivity Mosaic_5_d258f9e5bfc3137cfc9799a1cdabc339.png"
]
| 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/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_850 mb Temperature Advection_6_908cf70fb2c2fadb139f1079c8ad8915.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Lifting Condensation Level height_6_2be7b5a7457070e1663406c5173a922d.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Geostrophic equivalent potential vorticity_6_81b53a2fbf14567102475346a78462b6.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_700-500mb lapse rate instability_6_fbc8ffa65d764b3899768151d8d12ff0.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Mesoscale Convective System maintenance probability_6_9d2b93ce660cfc731f80ed5a0715ebea.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Base Reflectivity Mosaic_6_73070d451d91a359e0a516a778af9acb.png"
]
| 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/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_850 mb Temperature Advection_7_5834fe6212b76cbeb36399434e6dcbe8.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Lifting Condensation Level height_7_beaf6a2c97da9369dfce975d8a0dd250.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Geostrophic equivalent potential vorticity_7_991e30e6baa83ec5dd84b382657e232b.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_700-500mb lapse rate instability_7_7cac6bdab9bd3b7c29507f7245e7217d.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Mesoscale Convective System maintenance probability_7_6c231d29e39c7a0e9a7eca31f969e29e.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Base Reflectivity Mosaic_7_a889b734ab7ffdb37bcde615d3534c2d.png"
]
| 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/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_850 mb Temperature Advection_8_12c7e96bae7a1e00e2d67c803d3dc079.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Lifting Condensation Level height_8_daf210d5447e8186cbda132fe549939b.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Geostrophic equivalent potential vorticity_8_1677447f1a6485059c4cb0112f2ae2a8.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_700-500mb lapse rate instability_8_5ba501533d1382f8e2b124e75f877e6c.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Mesoscale Convective System maintenance probability_8_f61019eae7debe9c5187e54b88009f3c.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Base Reflectivity Mosaic_8_d642b3ce54c86e4cddc2be96046a32b4.png"
]
| 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/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_850 mb Temperature Advection_9_24cc3ba087acd2f6469fc89b28af2634.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Lifting Condensation Level height_9_d355376aca7cb74fa6480fee2e102c86.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Geostrophic equivalent potential vorticity_9_809b66ed5f07868b955ad5950143b13a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_700-500mb lapse rate instability_9_2df235e4096fd7d39f787277dd2e5591.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Mesoscale Convective System maintenance probability_9_5a5d64703b6555f072fbdef40a4f29e3.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Base Reflectivity Mosaic_9_923c3811c71fc46de707db522a3e3dab.png"
]
| 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-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_850 mb Temperature Advection_10_5dab0c0b401c4a2ccd50fcc431f5d498.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Lifting Condensation Level height_10_9d3e64248098550c05442b8f7f5522b4.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Geostrophic equivalent potential vorticity_10_137da25b2f4c58ddc9fde7eda81ba01c.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_700-500mb lapse rate instability_10_db7f801cef35847182e1dbd9dfc0d311.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Mesoscale Convective System maintenance probability_10_49297eb29a3e06100c615ed5f1057d02.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Base Reflectivity Mosaic_10_37b6a16645b792f63caa93aa9ff5f5c1.png"
]
| 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-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_850 mb Temperature Advection_11_30c89f129d96a0add0e414a177a25ec6.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Lifting Condensation Level height_11_e23f9f7e811df569520d978e94bd5ca9.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Geostrophic equivalent potential vorticity_11_c1a17b1740b8154e5d3936ae9428a140.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_700-500mb lapse rate instability_11_b2836793961253f08406a933fad0125a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Mesoscale Convective System maintenance probability_11_93fe72355a75447f40dd0177d264dbc2.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Base Reflectivity Mosaic_11_1525286e958253356668eb3f3c29b7cd.png"
]
| 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-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_850 mb Temperature Advection_12_50bd21410fe0351c35f1203b490c6d1a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Lifting Condensation Level height_12_fd6c31f4b124329581e7784d31c6aa50.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Geostrophic equivalent potential vorticity_12_85a0f967c66c5281ab27442891e936aa.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_700-500mb lapse rate instability_12_e2b58ba170dcf532291140ce8982242d.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Mesoscale Convective System maintenance probability_12_8c78f839c1785510f40c5e330e9f0c17.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Base Reflectivity Mosaic_12_653a471a2841c9386c5b805f387abba7.png"
]
| 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-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_850 mb Temperature Advection_13_e9250e8891fbddb79dea6ebb1229bc4a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Lifting Condensation Level height_13_a0c529902ef909889678d1f82edbca4a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Geostrophic equivalent potential vorticity_13_2e70530c681e7186da7b50d5f8a88147.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_700-500mb lapse rate instability_13_7e6a3dcc68d0c047add7995a800dcf7c.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Mesoscale Convective System maintenance probability_13_26b2f1509756973ee60c2fd3f3732b7f.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Base Reflectivity Mosaic_13_e40936bbff41d06342b4ff27354d52e9.png"
]
| 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-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_850 mb Temperature Advection_14_df0e4a4db65f59fd6144f139ddb9ce25.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Lifting Condensation Level height_14_7060c39b235fabc6d59b026264d958ac.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Geostrophic equivalent potential vorticity_14_02a330aabc98f6e984ecc6de171fc890.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_700-500mb lapse rate instability_14_160b20fc2d98c6c10952dfdf360b77fa.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Mesoscale Convective System maintenance probability_14_a60395d63c3fe58684fc320197c1e576.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Base Reflectivity Mosaic_14_66749102a338580b5eb3d8003e890beb.png"
]
| 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-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_850 mb Temperature Advection_15_ae1d00092ea1d804d7d2b655fbf7ac5f.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Lifting Condensation Level height_15_042a18741228c81a15a9c1eddbc84b2a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Geostrophic equivalent potential vorticity_15_37c79c5b8646cf6a95d697389f73b08d.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_700-500mb lapse rate instability_15_75d4a8f85b6dbccc4420c87d8b8d70ac.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Mesoscale Convective System maintenance probability_15_41296488057220486f5b0d88ad1fc594.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Base Reflectivity Mosaic_15_def353391fd917636d737ba7fa754517.png"
]
| 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-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_850 mb Temperature Advection_16_e838eca3692f6686395958937e718dbb.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Lifting Condensation Level height_16_bfb24b2045441155f932b226f962433a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Geostrophic equivalent potential vorticity_16_b5d2648ce4d057a0d07966c5a526c6a5.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_700-500mb lapse rate instability_16_be5703a5b3ed23f356ea90ccf959002d.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Mesoscale Convective System maintenance probability_16_a1c731333669947c34a8f3944f6dae28.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Base Reflectivity Mosaic_16_4966932c9e5401adc2bac33b9e7c50fc.png"
]
| 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-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_850 mb Temperature Advection_17_170d219c5058237d89373adf4355560e.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Lifting Condensation Level height_17_720ec83a17da28a5c4270118431b25b6.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Geostrophic equivalent potential vorticity_17_24981d70d884ad5ef60db1173bd7a713.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_700-500mb lapse rate instability_17_d6c6bde2a613980b645331d195b1e288.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Mesoscale Convective System maintenance probability_17_445c9c29256fabdba07e3bd2eade92fd.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Base Reflectivity Mosaic_17_3bf42d4027292be03d2c177f67ac4c23.png"
]
| 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-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_850 mb Temperature Advection_18_d72349136521533f86b1a846ef15478e.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Lifting Condensation Level height_18_378ce5bc8806916aa91d788c7405c71a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Geostrophic equivalent potential vorticity_18_acf25e3d531ff42af7dc330747236746.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_700-500mb lapse rate instability_18_88e3a4b8a65ea0de23d47e26fde4523a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Mesoscale Convective System maintenance probability_18_1f5560f890bf1f76b60985ffb90af618.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Base Reflectivity Mosaic_18_5a4909d9b26ceb9d91c0245845226619.png"
]
| 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 North Dakota and west central Minnesota"
]
| ['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-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_850 mb Temperature Advection_19_24ed0ba46442b5c67c04d391385664bb.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Lifting Condensation Level height_19_aa7ab31b42b21f6decd2119e967ea8f2.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Geostrophic equivalent potential vorticity_19_48412d823118acf9460a736c782859bd.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_700-500mb lapse rate instability_19_cdbf12052b2887167d06da4071f9a1fe.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Mesoscale Convective System maintenance probability_19_97b0223eedeaad1117629f4a9019e164.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E021_dataset_Base Reflectivity Mosaic_19_9ba8e150ae62e9a8c07e6560660781c5.png"
]
| 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) Heavy snow",
"(E) Severe potential...tornado watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(F) Severe potential...severe thunderstorm watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(G) Winter mixed precipitation",
"(H) Freezing rain",
"(I) Severe potential...watch needed soon (confidence level on the expectation of a watch is 95%)",
"(J) Blizzard",
"(K) Snow squall"
]
| 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/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_850 mb Temperature Advection_0_9a9d9996bebc26233a13f409d45b46cc.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Lifting Condensation Level height_0_925698237ec03427f6beb9037ce45a55.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Geostrophic equivalent potential vorticity_0_732e192ba3d4d5a0f6511a13c7f966a5.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_700-500mb lapse rate instability_0_83e0b7117c298ef89bd2b90e766ad78c.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Mesoscale Convective System maintenance probability_0_53f45c6bb1719eb5eb5b7d69e15f9c50.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Base Reflectivity Mosaic_0_c3b676c2b339300ad5528e945c7add1b.png"
]
| 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) Heavy snow",
"(E) Severe potential...tornado watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(F) Severe potential...severe thunderstorm watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(G) Winter mixed precipitation",
"(H) Freezing rain",
"(I) Severe potential...watch needed soon (confidence level on the expectation of a watch is 95%)",
"(J) Blizzard",
"(K) Snow squall"
]
| 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/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_850 mb Temperature Advection_1_1f6ba69a8afd8e3996ca2930534013ae.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Lifting Condensation Level height_1_8b0fa4556216bd2a2a2efa733d4a1888.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Geostrophic equivalent potential vorticity_1_d80150a123ee98e609413c411f640418.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_700-500mb lapse rate instability_1_755ece99767b93ce05b14312462f7795.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Mesoscale Convective System maintenance probability_1_f008ea695311fab5b54c72a0c33ef283.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Base Reflectivity Mosaic_1_e8974ce9071ff04bac1bb9e96da3cc57.png"
]
| 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) Heavy snow",
"(E) Severe potential...tornado watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(F) Severe potential...severe thunderstorm watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(G) Winter mixed precipitation",
"(H) Freezing rain",
"(I) Severe potential...watch needed soon (confidence level on the expectation of a watch is 95%)",
"(J) Blizzard",
"(K) Snow squall"
]
| 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/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_850 mb Temperature Advection_2_91340339a3cf87c14956aa4c3717d4ba.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Lifting Condensation Level height_2_3513cbed47d8995ec58e9e84e4d0a547.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Geostrophic equivalent potential vorticity_2_54628dba5f0e0309075a1d1cf4783ff0.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_700-500mb lapse rate instability_2_aa356cff58ab588061306353adce6866.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Mesoscale Convective System maintenance probability_2_0e57277ea32ebc66f44cee5b9ae3b427.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Base Reflectivity Mosaic_2_319f1e9d4abb79b3dc9aebf99d36458f.png"
]
| 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) Heavy snow",
"(E) Severe potential...tornado watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(F) Severe potential...severe thunderstorm watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(G) Winter mixed precipitation",
"(H) Freezing rain",
"(I) Severe potential...watch needed soon (confidence level on the expectation of a watch is 95%)",
"(J) Blizzard",
"(K) Snow squall"
]
| 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/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_850 mb Temperature Advection_3_13eaec89cbcc9f85375d97fb27b2b3fc.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Lifting Condensation Level height_3_91643957f240842f8c17538a0efe0947.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Geostrophic equivalent potential vorticity_3_b9b898ac39fe9e66a47e065e89d45a0e.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_700-500mb lapse rate instability_3_51e3465b1213b9815aee6596f4fd378d.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Mesoscale Convective System maintenance probability_3_88b50697daf0d5e84d3b99f4755a95d7.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Base Reflectivity Mosaic_3_421b4605ed9b13f1c85184537e7b752d.png"
]
| 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) Heavy snow",
"(E) Severe potential...tornado watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(F) Severe potential...severe thunderstorm watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(G) Winter mixed precipitation",
"(H) Freezing rain",
"(I) Severe potential...watch needed soon (confidence level on the expectation of a watch is 95%)",
"(J) Blizzard",
"(K) Snow squall"
]
| 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/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_850 mb Temperature Advection_4_63b0ef8649898566235a41932b464c11.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Lifting Condensation Level height_4_7c3e4f53bb32a03e4318c27c045239e9.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Geostrophic equivalent potential vorticity_4_0caa9909625081f94a109a35fb58240a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_700-500mb lapse rate instability_4_6329bae0c28086f9c9d3894be024c968.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Mesoscale Convective System maintenance probability_4_71a881d0d578068830138ee2094db3ce.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Base Reflectivity Mosaic_4_105a17bac53488ee57706ac5e8b3e57c.png"
]
| 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) Heavy snow",
"(E) Severe potential...tornado watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(F) Severe potential...severe thunderstorm watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(G) Winter mixed precipitation",
"(H) Freezing rain",
"(I) Severe potential...watch needed soon (confidence level on the expectation of a watch is 95%)",
"(J) Blizzard",
"(K) Snow squall"
]
| 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/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_850 mb Temperature Advection_5_e9ba434212557662c7324f8c265adba3.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Lifting Condensation Level height_5_6d50577a38a3bc8ff0e83a95f3be14cc.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Geostrophic equivalent potential vorticity_5_e6f9a4c2ce23ae929cc0ffbcbd083ff1.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_700-500mb lapse rate instability_5_e4e62fe3555cf109030978eaa6903c8a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Mesoscale Convective System maintenance probability_5_ab77ea7bf05b46d1f4233c2f58a9bed5.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Base Reflectivity Mosaic_5_d258f9e5bfc3137cfc9799a1cdabc339.png"
]
| 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) Heavy snow",
"(E) Severe potential...tornado watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(F) Severe potential...severe thunderstorm watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(G) Winter mixed precipitation",
"(H) Freezing rain",
"(I) Severe potential...watch needed soon (confidence level on the expectation of a watch is 95%)",
"(J) Blizzard",
"(K) Snow squall"
]
| 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/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_850 mb Temperature Advection_6_908cf70fb2c2fadb139f1079c8ad8915.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Lifting Condensation Level height_6_2be7b5a7457070e1663406c5173a922d.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Geostrophic equivalent potential vorticity_6_81b53a2fbf14567102475346a78462b6.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_700-500mb lapse rate instability_6_fbc8ffa65d764b3899768151d8d12ff0.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Mesoscale Convective System maintenance probability_6_9d2b93ce660cfc731f80ed5a0715ebea.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Base Reflectivity Mosaic_6_73070d451d91a359e0a516a778af9acb.png"
]
| 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) Heavy snow",
"(E) Severe potential...tornado watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(F) Severe potential...severe thunderstorm watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(G) Winter mixed precipitation",
"(H) Freezing rain",
"(I) Severe potential...watch needed soon (confidence level on the expectation of a watch is 95%)",
"(J) Blizzard",
"(K) Snow squall"
]
| 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/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_850 mb Temperature Advection_7_5834fe6212b76cbeb36399434e6dcbe8.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Lifting Condensation Level height_7_beaf6a2c97da9369dfce975d8a0dd250.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Geostrophic equivalent potential vorticity_7_991e30e6baa83ec5dd84b382657e232b.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_700-500mb lapse rate instability_7_7cac6bdab9bd3b7c29507f7245e7217d.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Mesoscale Convective System maintenance probability_7_6c231d29e39c7a0e9a7eca31f969e29e.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Base Reflectivity Mosaic_7_a889b734ab7ffdb37bcde615d3534c2d.png"
]
| 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) Heavy snow",
"(E) Severe potential...tornado watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(F) Severe potential...severe thunderstorm watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(G) Winter mixed precipitation",
"(H) Freezing rain",
"(I) Severe potential...watch needed soon (confidence level on the expectation of a watch is 95%)",
"(J) Blizzard",
"(K) Snow squall"
]
| 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/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_850 mb Temperature Advection_8_12c7e96bae7a1e00e2d67c803d3dc079.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Lifting Condensation Level height_8_daf210d5447e8186cbda132fe549939b.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Geostrophic equivalent potential vorticity_8_1677447f1a6485059c4cb0112f2ae2a8.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_700-500mb lapse rate instability_8_5ba501533d1382f8e2b124e75f877e6c.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Mesoscale Convective System maintenance probability_8_f61019eae7debe9c5187e54b88009f3c.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Base Reflectivity Mosaic_8_d642b3ce54c86e4cddc2be96046a32b4.png"
]
| 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) Heavy snow",
"(E) Severe potential...tornado watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(F) Severe potential...severe thunderstorm watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(G) Winter mixed precipitation",
"(H) Freezing rain",
"(I) Severe potential...watch needed soon (confidence level on the expectation of a watch is 95%)",
"(J) Blizzard",
"(K) Snow squall"
]
| 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/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_850 mb Temperature Advection_9_24cc3ba087acd2f6469fc89b28af2634.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Lifting Condensation Level height_9_d355376aca7cb74fa6480fee2e102c86.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Geostrophic equivalent potential vorticity_9_809b66ed5f07868b955ad5950143b13a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_700-500mb lapse rate instability_9_2df235e4096fd7d39f787277dd2e5591.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Mesoscale Convective System maintenance probability_9_5a5d64703b6555f072fbdef40a4f29e3.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Base Reflectivity Mosaic_9_923c3811c71fc46de707db522a3e3dab.png"
]
| 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) Heavy snow",
"(E) Severe potential...tornado watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(F) Severe potential...severe thunderstorm watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(G) Winter mixed precipitation",
"(H) Freezing rain",
"(I) Severe potential...watch needed soon (confidence level on the expectation of a watch is 95%)",
"(J) Blizzard",
"(K) Snow squall"
]
| 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-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_850 mb Temperature Advection_10_5dab0c0b401c4a2ccd50fcc431f5d498.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Lifting Condensation Level height_10_9d3e64248098550c05442b8f7f5522b4.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Geostrophic equivalent potential vorticity_10_137da25b2f4c58ddc9fde7eda81ba01c.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_700-500mb lapse rate instability_10_db7f801cef35847182e1dbd9dfc0d311.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Mesoscale Convective System maintenance probability_10_49297eb29a3e06100c615ed5f1057d02.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Base Reflectivity Mosaic_10_37b6a16645b792f63caa93aa9ff5f5c1.png"
]
| 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) Heavy snow",
"(E) Severe potential...tornado watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(F) Severe potential...severe thunderstorm watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(G) Winter mixed precipitation",
"(H) Freezing rain",
"(I) Severe potential...watch needed soon (confidence level on the expectation of a watch is 95%)",
"(J) Blizzard",
"(K) Snow squall"
]
| 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-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_850 mb Temperature Advection_11_30c89f129d96a0add0e414a177a25ec6.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Lifting Condensation Level height_11_e23f9f7e811df569520d978e94bd5ca9.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Geostrophic equivalent potential vorticity_11_c1a17b1740b8154e5d3936ae9428a140.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_700-500mb lapse rate instability_11_b2836793961253f08406a933fad0125a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Mesoscale Convective System maintenance probability_11_93fe72355a75447f40dd0177d264dbc2.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Base Reflectivity Mosaic_11_1525286e958253356668eb3f3c29b7cd.png"
]
| 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) Heavy snow",
"(E) Severe potential...tornado watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(F) Severe potential...severe thunderstorm watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(G) Winter mixed precipitation",
"(H) Freezing rain",
"(I) Severe potential...watch needed soon (confidence level on the expectation of a watch is 95%)",
"(J) Blizzard",
"(K) Snow squall"
]
| 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-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_850 mb Temperature Advection_12_50bd21410fe0351c35f1203b490c6d1a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Lifting Condensation Level height_12_fd6c31f4b124329581e7784d31c6aa50.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Geostrophic equivalent potential vorticity_12_85a0f967c66c5281ab27442891e936aa.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_700-500mb lapse rate instability_12_e2b58ba170dcf532291140ce8982242d.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Mesoscale Convective System maintenance probability_12_8c78f839c1785510f40c5e330e9f0c17.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Base Reflectivity Mosaic_12_653a471a2841c9386c5b805f387abba7.png"
]
| 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) Heavy snow",
"(E) Severe potential...tornado watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(F) Severe potential...severe thunderstorm watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(G) Winter mixed precipitation",
"(H) Freezing rain",
"(I) Severe potential...watch needed soon (confidence level on the expectation of a watch is 95%)",
"(J) Blizzard",
"(K) Snow squall"
]
| 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-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_850 mb Temperature Advection_13_e9250e8891fbddb79dea6ebb1229bc4a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Lifting Condensation Level height_13_a0c529902ef909889678d1f82edbca4a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Geostrophic equivalent potential vorticity_13_2e70530c681e7186da7b50d5f8a88147.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_700-500mb lapse rate instability_13_7e6a3dcc68d0c047add7995a800dcf7c.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Mesoscale Convective System maintenance probability_13_26b2f1509756973ee60c2fd3f3732b7f.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Base Reflectivity Mosaic_13_e40936bbff41d06342b4ff27354d52e9.png"
]
| 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) Heavy snow",
"(E) Severe potential...tornado watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(F) Severe potential...severe thunderstorm watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(G) Winter mixed precipitation",
"(H) Freezing rain",
"(I) Severe potential...watch needed soon (confidence level on the expectation of a watch is 95%)",
"(J) Blizzard",
"(K) Snow squall"
]
| 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-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_850 mb Temperature Advection_14_df0e4a4db65f59fd6144f139ddb9ce25.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Lifting Condensation Level height_14_7060c39b235fabc6d59b026264d958ac.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Geostrophic equivalent potential vorticity_14_02a330aabc98f6e984ecc6de171fc890.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_700-500mb lapse rate instability_14_160b20fc2d98c6c10952dfdf360b77fa.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Mesoscale Convective System maintenance probability_14_a60395d63c3fe58684fc320197c1e576.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Base Reflectivity Mosaic_14_66749102a338580b5eb3d8003e890beb.png"
]
| 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) Heavy snow",
"(E) Severe potential...tornado watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(F) Severe potential...severe thunderstorm watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(G) Winter mixed precipitation",
"(H) Freezing rain",
"(I) Severe potential...watch needed soon (confidence level on the expectation of a watch is 95%)",
"(J) Blizzard",
"(K) Snow squall"
]
| 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-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_850 mb Temperature Advection_15_ae1d00092ea1d804d7d2b655fbf7ac5f.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Lifting Condensation Level height_15_042a18741228c81a15a9c1eddbc84b2a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Geostrophic equivalent potential vorticity_15_37c79c5b8646cf6a95d697389f73b08d.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_700-500mb lapse rate instability_15_75d4a8f85b6dbccc4420c87d8b8d70ac.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Mesoscale Convective System maintenance probability_15_41296488057220486f5b0d88ad1fc594.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Base Reflectivity Mosaic_15_def353391fd917636d737ba7fa754517.png"
]
| 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) Heavy snow",
"(E) Severe potential...tornado watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(F) Severe potential...severe thunderstorm watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(G) Winter mixed precipitation",
"(H) Freezing rain",
"(I) Severe potential...watch needed soon (confidence level on the expectation of a watch is 95%)",
"(J) Blizzard",
"(K) Snow squall"
]
| 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-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_850 mb Temperature Advection_16_e838eca3692f6686395958937e718dbb.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Lifting Condensation Level height_16_bfb24b2045441155f932b226f962433a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Geostrophic equivalent potential vorticity_16_b5d2648ce4d057a0d07966c5a526c6a5.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_700-500mb lapse rate instability_16_be5703a5b3ed23f356ea90ccf959002d.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Mesoscale Convective System maintenance probability_16_a1c731333669947c34a8f3944f6dae28.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Base Reflectivity Mosaic_16_4966932c9e5401adc2bac33b9e7c50fc.png"
]
| 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) Heavy snow",
"(E) Severe potential...tornado watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(F) Severe potential...severe thunderstorm watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(G) Winter mixed precipitation",
"(H) Freezing rain",
"(I) Severe potential...watch needed soon (confidence level on the expectation of a watch is 95%)",
"(J) Blizzard",
"(K) Snow squall"
]
| 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-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_850 mb Temperature Advection_17_170d219c5058237d89373adf4355560e.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Lifting Condensation Level height_17_720ec83a17da28a5c4270118431b25b6.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Geostrophic equivalent potential vorticity_17_24981d70d884ad5ef60db1173bd7a713.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_700-500mb lapse rate instability_17_d6c6bde2a613980b645331d195b1e288.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Mesoscale Convective System maintenance probability_17_445c9c29256fabdba07e3bd2eade92fd.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Base Reflectivity Mosaic_17_3bf42d4027292be03d2c177f67ac4c23.png"
]
| 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) Heavy snow",
"(E) Severe potential...tornado watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(F) Severe potential...severe thunderstorm watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(G) Winter mixed precipitation",
"(H) Freezing rain",
"(I) Severe potential...watch needed soon (confidence level on the expectation of a watch is 95%)",
"(J) Blizzard",
"(K) Snow squall"
]
| 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-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_850 mb Temperature Advection_18_d72349136521533f86b1a846ef15478e.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Lifting Condensation Level height_18_378ce5bc8806916aa91d788c7405c71a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Geostrophic equivalent potential vorticity_18_acf25e3d531ff42af7dc330747236746.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_700-500mb lapse rate instability_18_88e3a4b8a65ea0de23d47e26fde4523a.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Mesoscale Convective System maintenance probability_18_1f5560f890bf1f76b60985ffb90af618.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Base Reflectivity Mosaic_18_5a4909d9b26ceb9d91c0245845226619.png"
]
| 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) Heavy snow",
"(E) Severe potential...tornado watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(F) Severe potential...severe thunderstorm watch likely (confidence level on the expectation of a watch is 80 or 95%)",
"(G) Winter mixed precipitation",
"(H) Freezing rain",
"(I) Severe potential...watch needed soon (confidence level on the expectation of a watch is 95%)",
"(J) Blizzard",
"(K) Snow squall"
]
| 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-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_850 mb Temperature Advection_19_24ed0ba46442b5c67c04d391385664bb.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Lifting Condensation Level height_19_aa7ab31b42b21f6decd2119e967ea8f2.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Geostrophic equivalent potential vorticity_19_48412d823118acf9460a736c782859bd.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_700-500mb lapse rate instability_19_cdbf12052b2887167d06da4071f9a1fe.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Mesoscale Convective System maintenance probability_19_97b0223eedeaad1117629f4a9019e164.png",
"/fs-computility/ai4sData/earth-shared/SFE/sfe_dataset/v0/images/E022_dataset_Base Reflectivity Mosaic_19_9ba8e150ae62e9a8c07e6560660781c5.png"
]
| 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 East 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 East 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 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 East China region?. | [
"(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 East 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 East 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 East 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 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_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 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 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.