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9f4e142b-baaa-40a5-990a-42d3a857307b | completed | 19080fa6-f2a4-4192-8e77-9f4c259d89f5 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5103587.webp | [
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52ee7e9b-30cf-4aa4-9587-4885a83f1590 | completed | f4b534d9-d0ff-4522-b2c6-fc043ea9dbd8 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_3682721.webp | [
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|
7059a785-aa74-4e4f-8e23-728ad9934d15 | completed | af1c0eda-f182-44cd-9b95-7dfdc6db42ce | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1558866589881352192_1.webp | [
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e7653385-151b-437d-a6ba-8050cc2e213c | completed | 0ddccfb1-f37a-45ac-9a98-620a25254c95 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6008165.webp | [
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1e4c4cd8-7e1d-4d6f-b64a-ab80361ba055 | completed | ef6cc639-14a9-43b9-bfdc-12a3d2b110d9 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4367315.webp | [
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|
3e425b33-6d5a-431b-8667-a8f089934d0b | completed | cd0682d3-e6df-4e74-8d76-38422acf25b0 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5611801.webp | [
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|
a7720929-d0e8-4501-9143-c180cbf18fdc | completed | 68b7aba2-5bbc-4275-9877-18d2470c53cd | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6446709.webp | [
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|
d24e1ff6-6e01-44b7-a9c0-2b33fcac8142 | completed | 2b8a1750-48f9-4c16-9538-a0c586781bbc | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1390157070347825153_1.webp | [
"thoughtful composition"
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"submitted"
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"harmonious but not special"
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|
1cc2da4f-8961-4db1-bab5-9cb17161fe63 | completed | 33e600e7-34e1-42d2-ae31-87fc2a5bf402 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1772911441986650384_1.webp | [
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|
e64d29d0-acc4-48f4-9676-43f77f429228 | completed | 8f0c0c0f-ae0b-4060-83e8-3c250923b14c | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5677571.webp | [
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|
15ab2370-c088-494f-a48d-efc5fdfcd199 | completed | 57f40a0d-d46f-42b3-a122-cce78e98e96a | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5623471.webp | [
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|
08fb08b9-3b70-4265-bd9a-1afe939a96d5 | completed | 502e4aa5-fb90-45a6-bddc-f5510ff13c61 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1688748440455626752_1.webp | [
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|
a3791904-ea41-421b-bd5c-7b559816021a | completed | 4d5f0184-7bd9-4b47-b2a3-347c21a4d3ca | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6639562.webp | [
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"vibrant and popping"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"no"
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"submitted"
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"highly detailed"
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"submitted"
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"mostly expressive"
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"bad anatomy"
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"submitted"
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"good quality"
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"submitted"
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|
8116639f-0b42-4b49-8a4e-3cfd00e89261 | completed | 94370c4d-a6bb-4e93-a09f-b5c3f82ab85a | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_3658941.webp | [
"has composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"minimal or none lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"harmonious but not special"
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] | [
"submitted"
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"yes"
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"submitted"
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"some detail"
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"submitted"
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"mostly expressive"
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"good anatomy"
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] | [
"submitted"
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|
e8e1c7e5-79dd-4b3e-8ae1-0deefc92076f | completed | 90529238-6020-497c-9494-8a5862a9edb1 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1676788012632674304_1.webp | [
"average or none composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"minimal or none lighting"
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"submitted"
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"no"
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"submitted"
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"some detail"
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"submitted"
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|
f653d396-9873-4ff6-b082-7de556a833a5 | completed | 98a2f8b6-4bbf-4993-851b-6eac08cffd28 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_3698204.webp | [
"average or none composition"
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"submitted"
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"minimal or none lighting"
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"submitted"
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"yes"
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"submitted"
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"submitted"
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|
8d292e8b-c525-4013-86fe-ef75c8ed84be | completed | 798b822c-8bc7-4f42-97d6-54b5128778cc | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5872395.webp | [
"average or none composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"submitted"
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"vibrant and popping"
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"submitted"
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"yes"
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"submitted"
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"highly detailed"
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] | [
"submitted"
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|
79ce70f5-1127-4846-ad6b-7ff545b208e7 | completed | e699e091-fbf4-4af8-9c8d-d8e5399c30ac | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_7375472.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"has lighting"
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"submitted"
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"harmonious but not special"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"yes"
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"submitted"
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"highly detailed"
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"submitted"
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"average quality"
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] | [
"submitted"
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|
1f8e85de-f74e-4923-ac29-19010a0107e4 | completed | 00986ee2-92a0-45a7-9ef1-52400f25a8d6 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1622174083558539266_1.webp | [
"average or none composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"minimal or none lighting"
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"submitted"
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"bad colors"
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"submitted"
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"no"
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"submitted"
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"low detail"
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"bad anatomy"
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"submitted"
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"worst quality"
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] | [
"submitted"
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|
e974ac52-8eef-4819-aec0-f8b456aa7d47 | completed | d963f630-0344-4f37-a31d-321fc7823de9 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1548609075076042752_1.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"correct dynamic lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"mostly yes"
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"submitted"
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"highly detailed"
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"average anatomy"
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] | [
"submitted"
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|
bab6fefb-c4ad-44dc-9fa9-15131f226640 | completed | 87d91e13-88b9-4330-b596-f00a8cb60367 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6912702.webp | [
"average or none composition"
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"submitted"
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"minimal or none lighting"
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"submitted"
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"bad quality"
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] | [
"submitted"
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|
710da533-adc0-4878-954f-57e995e2efb7 | completed | cf475f93-6da6-499b-9b14-8109608c32f0 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1478324925161435139_1.webp | [
"thoughtful composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"minimal or none lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"average colors"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"mostly yes"
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"submitted"
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"average detail"
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"average anatomy"
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] | [
"submitted"
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|
028b5f46-12d1-4818-8f98-9eb4e2d92833 | completed | 0f5d6f5a-fb2f-469b-af04-0b0d01bbf981 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/100112488_p0.webp | [
"thoughtful composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"minimal or none lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"no"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"highly detailed"
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"submitted"
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] | [
"submitted"
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|
c11311f1-be59-46e0-889c-690a67901ed0 | completed | f22bb59d-2f11-4f9e-a0e2-8e3ab081e15a | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5357122.webp | [
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"minimal or none lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
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] | [
"vibrant and popping"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"no"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"some detail"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"average expressiveness"
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] | [
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"bad anatomy"
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"submitted"
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"average quality"
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] | [
"submitted"
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|
1cffb663-fac5-49c0-8591-3581c59e11d1 | completed | 9819ca30-61a8-4111-9a15-1ac8f66d179d | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6077066.webp | [
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"correct dynamic lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"highly detailed"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"expressive image"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
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] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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|
ae5d3fb6-34b3-40a0-ac23-a753b0a42ecc | completed | 02ef6c81-8703-49c1-9820-b3947fe737c9 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6253864.webp | [
"average or none composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"minimal or none lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
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] | [
"harmonious but not special"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"some detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average expressiveness"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average anatomy"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
715b2009-f719-4652-8158-089fd8d26e5a | completed | 2fe24e88-49b3-48bf-963b-e23fa66c2836 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1719358681975054568_2.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"minimal or none lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"harmonious but not special"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"no"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"some detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average expressiveness"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly good"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
92997268-1189-4b91-a8aa-67a616e8e313 | completed | 2c3f5369-b1a8-4851-b500-94da62020887 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6043347.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"has lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"highly detailed"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly expressive"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"bad anatomy"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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|
87f16267-14a1-41d1-a685-ec4b6bef0d15 | completed | e7885582-68c0-42a6-9e30-d911aa694364 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1397477613828919296_1.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"has lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"highly detailed"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"mostly expressive"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"mostly good"
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"submitted"
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"good quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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|
c7e96367-1f9c-45a6-8b7b-0b9dcbaf53bb | completed | 953ab60d-5cc8-4250-84d4-a4d25c5bbc57 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4059666.webp | [
"has composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"minimal or none lighting"
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] | [
"submitted"
] | [
"vibrant and popping"
] | [
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] | [
"submitted"
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"mostly yes"
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"submitted"
] | [
"some detail"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"stiff"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"bad anatomy"
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"submitted"
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"bad quality"
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] | [
"submitted"
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|
8d389e6f-26ab-47a6-8041-577af4505b2e | completed | bdc5be94-d56d-4905-9173-83dd03ec20bf | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6269991.webp | [
"average or none composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"minimal or none lighting"
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"submitted"
] | [
"harmonious but not special"
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] | [
"submitted"
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"no"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"some detail"
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"submitted"
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"average expressiveness"
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"submitted"
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"average anatomy"
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"submitted"
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"average quality"
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] | [
"submitted"
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|
f417b0a1-a9c6-4de5-b7bb-cfb668a9250f | completed | 810dcef7-98d9-48a8-b0d0-d9f4eef9e511 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_7508172.webp | [
"average or none composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"correct dynamic lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
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] | [
"submitted"
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"yes"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"highly detailed"
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"submitted"
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"average expressiveness"
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"average anatomy"
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"submitted"
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"good quality"
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] | [
"submitted"
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|
79f4a132-c7de-46b9-a3fc-7f82d9b8d721 | completed | 77980a05-d56c-4f1b-b8d7-67cae88c3ecd | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1718583460573634830_1.webp | [
"average or none composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"minimal or none lighting"
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"submitted"
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"average colors"
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"submitted"
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"yes"
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] | [
"submitted"
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"low detail"
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"submitted"
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"average expressiveness"
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"submitted"
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"average anatomy"
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"submitted"
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"bad quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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|
7ca63aa5-567b-497f-8d67-fb1a862e59f4 | completed | 56f99cad-bd74-4841-8061-42b35f0698bb | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4842091.webp | [
"thoughtful composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"correct dynamic lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"vibrant and popping"
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"submitted"
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"yes"
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"submitted"
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"highly detailed"
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"submitted"
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"mostly expressive"
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"submitted"
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"good anatomy"
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"submitted"
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"best quality"
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] | [
"submitted"
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|
ac33d37c-429f-4bce-a638-a196bec65a23 | completed | 44cb3692-8bee-4e40-9f96-5864b182fa95 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5433472.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"minimal or none lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"average colors"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"no"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"average detail"
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"submitted"
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"average expressiveness"
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"average anatomy"
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"submitted"
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"average quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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|
214f75c2-491a-4889-9cb3-7155b7a74c4c | completed | 5a949c34-d45a-43c7-95ef-2bdd35284181 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6059121.webp | [
"thoughtful composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"has lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"yes"
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"submitted"
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"some detail"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"mostly expressive"
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"submitted"
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"good anatomy"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"good quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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|
7ba43028-3784-4aef-9ed1-6f9e45c1b324 | completed | 3c56442a-9e6f-4d33-ad51-8c4116c3fb36 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4335707.webp | [
"average or none composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"correct dynamic lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"mostly yes"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"some detail"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"mostly expressive"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"average anatomy"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"good quality"
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] | [
"submitted"
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|
c5258b35-12b9-434b-82f5-f1fe47c3d654 | completed | 459a11fe-06d2-4879-9605-67765b865d2c | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1753365357438660801_1.webp | [
"average or none composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"has lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"harmonious but not special"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"submitted"
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"average expressiveness"
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"submitted"
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"good anatomy"
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] | [
"submitted"
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"good quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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|
f46c39c1-329d-4229-8a20-1c4bbcd2dba6 | completed | 05e21483-b19d-4f65-8d92-aba713ea923d | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1680505983670312962_1.webp | [
"thoughtful composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"correct dynamic lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"highly detailed"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"expressive image"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"good anatomy"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"best quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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|
0902b69c-87da-4498-9501-72964e0194c6 | completed | 63e553de-ad16-45e2-87e9-d7101aef9532 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_2884829.webp | [
"thoughtful composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"correct dynamic lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"highly detailed"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly expressive"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good anatomy"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"best quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
31a51494-5f7d-4573-9028-a9030971ecca | completed | eba858cf-0f9f-4f9f-b56f-e538cc45b9fe | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5003767.webp | [
"average or none composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"has lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average colors"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"some detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"average expressiveness"
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] | [
"submitted"
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"bad anatomy"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"bad quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
5483a540-89e5-4513-8c56-924c68de88f4 | completed | de90df2e-3112-4401-9d67-f2f995b0f790 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4674012.webp | [
"thoughtful composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"correct dynamic lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"harmonious but not special"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"some detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly expressive"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
dd51609e-6c0c-422b-9b8d-734aa8c53c9a | completed | ce9451a4-fcbf-4875-b2d7-dde25787cca2 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1731176451658170587_1.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"correct dynamic lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"some detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly expressive"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
524b5a75-9545-4d08-9e8a-548d66d6f2de | completed | ced7bf2e-bc45-4ec7-b5ee-fee54a290f38 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4926761.webp | [
"bad composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"bad lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"bad colors"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average detail"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"average expressiveness"
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"submitted"
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"average anatomy"
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"average quality"
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"submitted"
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|
f840f00e-f12a-4f48-b5d0-bc66cbcef654 | completed | dca55119-71c4-4101-bd20-ce0cf1cc0779 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5060915.webp | [
"has composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"has lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
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] | [
"submitted"
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"no"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"average detail"
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"submitted"
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"average expressiveness"
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] | [
"submitted"
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"bad anatomy"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"average quality"
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] | [
"submitted"
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|
1c454992-4226-42dc-b5a0-4ce67c17be80 | completed | 4db58cf7-9da8-41ad-ae07-6ccc65496fcc | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/100839663_p0.webp | [
"has composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"has lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"harmonious but not special"
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] | [
"submitted"
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"no"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"some detail"
] | [
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"submitted"
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"mostly expressive"
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"submitted"
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"good anatomy"
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] | [
"submitted"
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] | [
"submitted"
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|
96ea6edf-0bb6-4dfb-a589-84dbdade2fd2 | completed | a3766053-f405-483b-8997-4c9e40cd77e4 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1493159084929208323_1.webp | [
"average or none composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"minimal or none lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"harmonious but not special"
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] | [
"submitted"
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"mostly yes"
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"submitted"
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"highly detailed"
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"submitted"
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"submitted"
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|
986b26b4-2b8e-450d-9926-35ba79141e88 | completed | 16954b39-5ccf-492e-930a-3db2e6deb2d2 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/105045654_p0.webp | [
"average or none composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"minimal or none lighting"
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"harmonious but not special"
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"submitted"
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"yes"
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"some detail"
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"average expressiveness"
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] | [
"submitted"
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|
3be5c05a-70fa-4ac3-ac8d-37687d3653c6 | completed | 7c9ee50a-a426-45e6-982d-21633a04c65b | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1712978341236744321_1.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"minimal or none lighting"
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] | [
"submitted"
] | [
"harmonious but not special"
] | [
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] | [
"submitted"
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"yes"
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] | [
"submitted"
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"some detail"
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] | [
"submitted"
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"average expressiveness"
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"mostly good"
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] | [
"submitted"
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"average quality"
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] | [
"submitted"
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|
afd5d7ab-0be2-4fec-964a-635924cb6780 | completed | 3d339cef-4118-4cfa-9cfa-5f5f5ac6e0e9 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_7595013.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"minimal or none lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"harmonious but not special"
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] | [
"submitted"
] | [
"yes"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"low detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"mostly expressive"
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"submitted"
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"submitted"
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"average quality"
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] | [
"submitted"
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|
8472a5eb-d578-49d9-8a6e-e480b19d9c26 | completed | 2a44b0c3-ed66-4683-92c6-9a881a1726c5 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/86599874_p0.webp | [
"thoughtful composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"has lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"yes"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"highly detailed"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"average expressiveness"
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"submitted"
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"average anatomy"
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] | [
"submitted"
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"average quality"
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] | [
"submitted"
] |
|
f4e89376-8ecd-46ec-8924-d56e0885b669 | completed | 36760e2e-aac0-4cd2-a695-d85326c60f76 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6932235.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"has lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average colors"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"no"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average detail"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average expressiveness"
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] | [
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"average anatomy"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"average quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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|
c5502c9d-bed8-4d0a-9e56-c9e429b094f4 | completed | caa63f23-9845-439a-aba3-ed3ba10cdc0f | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1765294138474578387_1.webp | [
"thoughtful composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"minimal or none lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"harmonious but not special"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"no"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"some detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"expressive image"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"average anatomy"
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] | [
"submitted"
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"average quality"
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] | [
"submitted"
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|
270f4e73-9adc-4a01-aac2-955c12966a07 | completed | 1d7230e1-ba8b-454b-a907-8ea5b5eaedfa | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1340552119997218816_2.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"minimal or none lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"harmonious but not special"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"no"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"some detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average expressiveness"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"average anatomy"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
ab1aeb1f-15f1-4b47-b23c-1c2a1b947a25 | completed | 69bab109-7d2f-4fa1-b4ef-c94863ed085b | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4492098.webp | [
"thoughtful composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"correct dynamic lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"highly detailed"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"expressive image"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"best quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
07e48ba4-0512-4014-9dc6-9ded9dd3e23c | completed | 05c0ba8e-0921-46c0-94da-98d15aea76d3 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4315355.webp | [
"average or none composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"bad lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average colors"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"some detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly expressive"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average anatomy"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
14ded359-7c48-4526-9c85-f6554fbfce27 | completed | 7a2b1a6f-9b48-41cc-b8b3-c8bfbb93fa9b | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_7048654.webp | [
"thoughtful composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"has lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"harmonious but not special"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"some detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"expressive image"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
5614c5e0-593c-4fae-90c5-9c0649f58255 | completed | 2cbf85a6-1045-4709-854e-2095d6147d45 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6499052.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"has lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"highly detailed"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average expressiveness"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
0032334c-e9f1-4bfd-bfe1-d775464a468f | completed | a851c38a-e04c-4c6d-9640-652d92411bfd | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5029557.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"has lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"highly detailed"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"expressive image"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
4c0cbb52-771b-4b3d-8dc0-0fca9fe862e1 | completed | 4688cbfe-18ec-4a2d-95b5-3876afb3e654 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1560798490862751745_1.webp | [
"average or none composition"
] | [
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"submitted"
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"minimal or none lighting"
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"submitted"
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"vibrant and popping"
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"submitted"
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"yes"
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"highly detailed"
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"mostly expressive"
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"submitted"
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|
a87617e8-09fa-4b4c-b12b-5af2c9b4a703 | completed | 380b97d7-57a4-4acd-8293-e7b10dfb3870 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5060931.webp | [
"has composition"
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] | [
"submitted"
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"minimal or none lighting"
] | [
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"submitted"
] | [
"average colors"
] | [
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] | [
"submitted"
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"mostly yes"
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"submitted"
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"average detail"
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"submitted"
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"submitted"
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|
732ade74-e3f7-43cc-a48c-276626c0917e | completed | 800db08f-4d93-4f98-9803-cf429c1e2e85 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5629385.webp | [
"average or none composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"minimal or none lighting"
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] | [
"submitted"
] | [
"average colors"
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"submitted"
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"no"
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"submitted"
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"some detail"
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"submitted"
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"submitted"
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"submitted"
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"average quality"
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] | [
"submitted"
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|
0b861b95-de43-43a6-8540-f8c9b4b914fc | completed | 9bb113a2-bfcf-4c44-9428-5e7dff64649f | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6303438.webp | [
"average or none composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"bad lighting"
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] | [
"submitted"
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"average colors"
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"submitted"
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"mostly yes"
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"submitted"
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"some detail"
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"submitted"
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"average expressiveness"
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] | [
"submitted"
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|
6c27bfb7-d8f7-4a04-9103-659c4e8c58ad | completed | fd99dfaa-ab61-45f8-9e9f-8c06794bce4f | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1736277989535719790_1.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"has lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"yes"
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"submitted"
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"average detail"
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] | [
"submitted"
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|
d0f58939-a0ab-45c5-a013-da54504c587a | completed | 25779056-2f36-4042-a87c-1988d0e25321 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6567598.webp | [
"has composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"submitted"
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"vibrant and popping"
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"submitted"
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"no"
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"highly detailed"
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"best quality"
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] | [
"submitted"
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|
f7396d2f-bb0d-4ea9-9013-ecf83250cb95 | completed | 144fa387-6d9a-4fd9-a598-091ba7f0b7fb | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5271761.webp | [
"thoughtful composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"minimal or none lighting"
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] | [
"submitted"
] | [
"harmonious but not special"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"mostly yes"
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"submitted"
] | [
"some detail"
] | [
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] | [
"submitted"
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"mostly expressive"
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"submitted"
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"submitted"
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] | [
"submitted"
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|
4659f6ac-7c3c-41a7-b2c0-5f3fda24bfbd | completed | e30f37ab-521c-44d1-90fa-274e2ab48290 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/108530375_p0.webp | [
"average or none composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"correct dynamic lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"vibrant and popping"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"yes"
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"submitted"
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"highly detailed"
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"good anatomy"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"best quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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|
def202a9-6b32-4f5d-bb88-0be174b8cb95 | completed | a309b865-d665-4783-8f5b-f2cf787652d9 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5399344.webp | [
"thoughtful composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"correct dynamic lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"vibrant and popping"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"yes"
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] | [
"submitted"
] | [
"highly detailed"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
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] | [
"submitted"
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"good anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"best quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
8a4f3521-1424-4acc-8290-918e8c744bbc | completed | 5e6982bf-d16d-4b5b-942a-6ff123177ebd | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1373216428002713605_1.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"has lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"harmonious but not special"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"some detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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] | [
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"submitted"
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] | [
"submitted"
] |
|
a2c71afa-fca8-48cc-9b74-5e0be6b13fb9 | completed | 33dfc04e-8b97-477d-ada2-cd5b380c17aa | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4175313.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"minimal or none lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average colors"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"no"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average detail"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
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] | [
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] | [
"submitted"
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"average anatomy"
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] | [
"submitted"
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"bad quality"
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] | [
"submitted"
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|
786da8be-fe53-407c-8be2-c854475b1e30 | completed | be4bcdb1-21ff-4f2f-88a3-ef2d67d29a79 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_7362430.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"has lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average colors"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"no"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"some detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average expressiveness"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"mostly good"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
f1bcd8c1-df00-49e1-9690-e95b3796ffd3 | completed | 463e11f2-68e4-45bb-9e7e-7f58b3b7ced7 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1628822893365952512_1.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"minimal or none lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"highly detailed"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly expressive"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average anatomy"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
60f93ad4-8454-4638-8e1a-d894b28af5f1 | completed | c82aa3d9-772d-4278-822a-5dd157961b02 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_7078737.webp | [
"average or none composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"minimal or none lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average colors"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average expressiveness"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"bad anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"bad quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
4f7e64b7-c484-4dfb-baf6-7d8fa3b2d90f | completed | 02dbe947-5453-4b4c-a774-03d424393904 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_7447308.webp | [
"thoughtful composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"correct dynamic lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"highly detailed"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"expressive image"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"best quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
02f1de2c-27a7-4848-b4b7-1740297224b3 | completed | 46f243e9-4ef8-42fb-b4da-fde5dba76c57 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4282044.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"correct dynamic lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"some detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average expressiveness"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly good"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"average quality"
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"submitted"
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|
ddce497d-59fc-4eb4-8bef-7aa2b32e1a3b | completed | 7f9337ec-5484-4304-8ea1-1059d16003e7 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5313462.webp | [
"thoughtful composition"
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"submitted"
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"minimal or none lighting"
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"submitted"
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"average colors"
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"submitted"
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"yes"
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|
7f073bc1-b433-4dde-8e62-a4189155bc8c | completed | 3d769f49-a5af-45d0-8850-fed764877b54 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_3995363.webp | [
"average or none composition"
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"submitted"
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] | [
"submitted"
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|
5a8c3445-1259-4a7a-9dac-b44e85b4fa53 | completed | b9f0696c-2601-4d7f-b7e3-e0062f280880 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_3631796.webp | [
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"submitted"
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|
742cbb57-af39-4324-a57f-ef121db11c6d | completed | 840ceca8-154c-4ea1-b7c0-ccb53c930348 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1749847204054094252_1.webp | [
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] | [
"submitted"
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"minimal or none lighting"
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"submitted"
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] | [
"submitted"
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|
fbdce7d2-8418-40b4-b757-8b2f79105c99 | completed | 7e6601f2-5eb5-43be-8698-dfc6cbbe914d | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1164523531398348800_2.webp | [
"average or none composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"minimal or none lighting"
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] | [
"submitted"
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"average colors"
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"submitted"
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"yes"
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"submitted"
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] | [
"submitted"
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|
a11ca01e-6917-4eec-bac8-5494724e1a49 | completed | 47e7ccc3-b774-49ee-9075-21cf317fa327 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5090114.webp | [
"thoughtful composition"
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"submitted"
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"correct dynamic lighting"
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"submitted"
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"mostly yes"
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"submitted"
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"highly detailed"
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] | [
"submitted"
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|
e84e4a30-5c9d-4495-a134-077f90593300 | completed | b9f32348-bcbb-4d0a-b6a2-edc8689c8e8d | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/104735963_p0.webp | [
"has composition"
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] | [
"submitted"
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"correct dynamic lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"mostly yes"
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] | [
"submitted"
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"some detail"
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] | [
"submitted"
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|
eac7c6ed-b4a9-4812-ac6e-4346f70f9efa | completed | d80e183f-90be-4dd7-a979-66b8b856e787 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5419157.webp | [
"thoughtful composition"
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] | [
"submitted"
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"minimal or none lighting"
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"yes"
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"highly detailed"
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] | [
"submitted"
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|
df99af98-459c-4fca-81d3-4b97936bd856 | completed | 8a34c21d-22a2-45fe-88c8-c12c99fa8490 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5700764.webp | [
"thoughtful composition"
] | [
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] | [
"submitted"
] | [
"correct dynamic lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"highly detailed"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
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] | [
"submitted"
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] | [
"submitted"
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|
327258b0-05cc-4ca5-955d-b74af580bac4 | completed | 86b94e54-488a-4069-ba60-2a24af127adc | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4432578.webp | [
"thoughtful composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"correct dynamic lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
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] | [
"submitted"
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"yes"
] | [
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] | [
"submitted"
] | [
"highly detailed"
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] | [
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] | [
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] | [
"submitted"
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"best quality"
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] | [
"submitted"
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|
d8ac66cb-f630-488b-8358-5a81c7bcbc1f | completed | 8d879168-ce6e-4fb9-a40a-b7488a5a3a18 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1626912346127097856_4.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"minimal or none lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
] | [
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] | [
"submitted"
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"no"
] | [
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] | [
"submitted"
] | [
"average detail"
] | [
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] | [
"submitted"
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"expressive image"
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] | [
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"submitted"
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"average quality"
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] | [
"submitted"
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|
8bca4419-e83b-41db-a8e0-342162e4c40a | completed | 858f20ea-68dd-4d5f-a9f1-77843dd35ec6 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1715321529121325563_1.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"minimal or none lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average colors"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
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] | [
"submitted"
] | [
"average detail"
] | [
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] | [
"submitted"
] | [
"average expressiveness"
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] | [
"submitted"
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"good anatomy"
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] | [
"submitted"
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"average quality"
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] | [
"submitted"
] |
|
b29a65f8-c517-46c8-a57c-3d43da8fcf18 | completed | 9220a679-90e4-47e7-b1fa-5f9fc57ece50 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1686689167160537088_1.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"has lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"harmonious but not special"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"some detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"average expressiveness"
] | [
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] | [
"submitted"
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] | [
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] | [
"submitted"
] | [
"average quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
5a6cfe35-33b2-4de2-b43a-b3f6b5f785df | completed | c695de16-6365-422f-97df-ae64de4e4219 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_3982974.webp | [
"average or none composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"minimal or none lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average colors"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"no"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average detail"
] | [
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] | [
"submitted"
] | [
"average expressiveness"
] | [
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] | [
"submitted"
] | [
"good anatomy"
] | [
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] | [
"submitted"
] | [
"average quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
76f97ee3-1db5-43f4-9169-0419fd5752ee | completed | 321bb99a-92e8-4b90-a2d9-b03f5a3399af | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6784010.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"correct dynamic lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"harmonious but not special"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"no"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"highly detailed"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"expressive image"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
c2339715-9fdd-4cca-9dd4-0dadd855dfb2 | completed | 257cfa62-bf67-49f2-a1c4-efca70195237 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_7536601.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"minimal or none lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average colors"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"no"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"highly detailed"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average expressiveness"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly good"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
5f02c9f9-a46a-4ab9-b3e7-ba25b83a6aba | completed | 9cf83844-ecf7-4545-af43-a87efcaa2097 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_2816596.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"minimal or none lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average colors"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"no"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average expressiveness"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly good"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
b548b96e-d72b-4e2c-967a-d43f9967d4f0 | completed | a85d362a-8b02-487f-8982-3f17e7fb886e | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5549756.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"bad lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"some detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average expressiveness"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
d154c2d6-c9db-4f8a-810d-cb6970b6b73c | completed | b518c7bf-b7aa-4561-b3f0-493d40228dcd | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5710083.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"has lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"highly detailed"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly expressive"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
a196886c-f046-4b5b-8772-3dd1368db762 | completed | 853f811e-e88b-4c5a-8d89-5cea7ce8c973 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4862815.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"has lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average colors"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"some detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average expressiveness"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
37c5a310-703b-4496-9aef-71a79fe62f49 | completed | f80649fb-6075-4fd8-aa97-a918b6ea78ef | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4637933.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"has lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"highly detailed"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"stiff"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"bad anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"bad quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
f0a38347-9cf7-43bd-8ab6-1bc1b4b42d1d | completed | 8f3c35ee-ac56-4036-b6a6-5c0f60d66b5e | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6527877.webp | [
"bad composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"bad lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"bad colors"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"no"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"low detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"stiff"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"bad quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
7cb1564c-5435-437c-960c-e358c15060a7 | completed | 26374d55-0343-4d4a-94ae-1d34ca4c9c8a | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5848030.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"minimal or none lighting"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"harmonious but not special"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"highly detailed"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"expressive image"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
Dataset Card for test_anime_rating_100_v3
This dataset has been created with Argilla. As shown in the sections below, this dataset can be loaded into your Argilla server as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.
Using this dataset with Argilla
To load with Argilla, you'll just need to install Argilla as pip install argilla --upgrade and then use the following code:
import argilla as rg
ds = rg.Dataset.from_hub("arot/test_anime_rating_100_v3")
This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation.
Using this dataset with datasets
To load the records of this dataset with datasets, you'll just need to install datasets as pip install datasets --upgrade and then use the following code:
from datasets import load_dataset
ds = load_dataset("arot/test_anime_rating_100_v3")
This will only load the records of the dataset, but not the Argilla settings.
Dataset Structure
This dataset repo contains:
- Dataset records in a format compatible with HuggingFace
datasets. These records will be loaded automatically when usingrg.Dataset.from_huband can be loaded independently using thedatasetslibrary viaload_dataset. - The annotation guidelines that have been used for building and curating the dataset, if they've been defined in Argilla.
- A dataset configuration folder conforming to the Argilla dataset format in
.argilla.
The dataset is created in Argilla with: fields, questions, suggestions, metadata, vectors, and guidelines.
Fields
The fields are the features or text of a dataset's records. For example, the 'text' column of a text classification dataset of the 'prompt' column of an instruction following dataset.
| Field Name | Title | Type | Required | Markdown |
|---|---|---|---|---|
| image_url | image_url | image | True | |
| s3_uri | s3_uri | text | True | False |
Questions
The questions are the questions that will be asked to the annotators. They can be of different types, such as rating, text, label_selection, multi_label_selection, or ranking.
| Question Name | Title | Type | Required | Description | Values/Labels |
|---|---|---|---|---|---|
| composition_rating | Composition? (framing, item arrangements, flow of lines, etc) | label_selection | True | thoughtful composition: 在构图上有一定思考, 执行得当, 使用摄影/framing techniques产生了视觉效果 (比如拍摄角度, 背景和前景的搭配, 良好的空间关系, 2d构图等) | The image should adhere to certain principles of professional photography composition, including the 'Rule Of Thirds', 'Depth and Layering', and more. https://danbooru.donmai.us/posts/6743649 |
has composition: 存在一些有意识的构图搭配, 但有小问题 (不是没有特点)
average or none composition: 没有什么特点的普通站桩构图
bad composition: 存在诡异, 让人不舒服, 模型多半也学不会的构图
SKIP: 不好选择 | ['thoughtful composition', 'has composition', 'average or none composition', 'bad composition', 'SKIP'] | | lighting_rating | Lighting? (PBR only; fake lighting doesn't count) | label_selection | True | correct dynamic lighting: 光影正确平衡, 衬托了画面 | balanced exposure that enhances the image, for example, lighting that originates from an angle, casting highlights on select areas of the background and subject(s). https://danbooru.donmai.us/posts/6802960
has lighting: 存在一些光影搭配, 但效果有小问题 (不是没有光影)
minimal or none lighting: 没有什么特点的光影选择 (接近平涂, 可以喷枪上过一些阴影, 但是光源不对/潦草/太简略)
bad lighting: 太亮/太暗/太极端, 画面过曝, etc | artificial or lackluster lighting, excessively dim or overexposed light
SKIP: 不好选择 | ['correct dynamic lighting', 'has lighting', 'minimal or none lighting', 'bad lighting', 'SKIP'] | | color_contrast_rating | Color and Contrast? | label_selection | True | vibrant and popping: 在颜色和对比度上有一定思考, 执行得当, 产生了视觉效果 (比如有意识的冷暖对比, 色彩搭配, 撞色, 饱和度选择等) | We prefer images with vibrant colors and strong color contrast. We avoid monochromatic images or those where a single color dominates the entire frame.
harmonious but not special: 颜色和谐但不突出, contrast不够或者故意low contrast
average colors: 没有什么特点的普通颜色选择, 还原了角色原本的颜色
bad colors: 配色让人不舒服, 颜色脏乱, 单一颜色没有对比, 画面过于单调
SKIP: 不好选择 | ['vibrant and popping', 'harmonious but not special', 'average colors', 'bad colors', 'SKIP'] | | subject_background_rating | Is the forground not obstructed or cutoff, and background not cluttered? (text is obstruction) | label_selection | True | yes: 焦点清晰, 画面清晰, 没有模糊 (或者有意识的模糊)
mostly yes: 大部分清晰, 但存在一些模糊, 或者有意识的模糊
no: 焦点普通, 画面偏模糊, 没有太多细节
SKIP: 不好选择 | ['yes', 'mostly yes', 'no', 'SKIP'] | | detail_rating | Details? | label_selection | True | highly detailed: 高细节, 画面精细, 有一定的纹理 (或者有意识的简单清晰), 看起来很精致 | all critical details are clearly visible without compromise; the level of detail on the foreground subject is extremely important. https://x.com/SuperPig2046/status/1628983316811759616
some detail: 存在一些细节/texture的利用, 但完成度不够, 或者细节不够精细
average detail: 细节普通, 画面偏简单, 没有太多细节 (极简也算)
low detail: 细节不足, 画面粗糙
SKIP: 不好选择 | ['highly detailed', 'some detail', 'average detail', 'low detail', 'SKIP'] | | expressive_rating | Expressiveness? | label_selection | True | expressive image: 线条流畅, 构造精致, 脸部自然, 动作生动等, 看起来很有表现力, 画面张力高 https://danbooru.donmai.us/posts/5844547
mostly expressive: 画面生动有一定张力, 但完成度太低或者存在错误 (比如推特的很多rakugaki / 随手画)
average expressiveness: 普通的表现力, 画面偏僵硬, 看起来不生动
stiff: 业余水准, 低于平均水平, 画面表现力不足或者诡异, 让人不舒服 https://danbooru.donmai.us/posts/7431687
SKIP: 不好选择 | ['expressive image', 'mostly expressive', 'average expressiveness', 'stiff', 'SKIP'] | | anatomy_rating | Anatomy? | label_selection | True | good anatomy: 动态感好, 姿势自然流畅 https://danbooru.donmai.us/posts/5972188
mostly good: 总体比较好, 但为艺术效果做了夸张, 比如手太小太龇等 https://danbooru.donmai.us/posts/6908818
average anatomy: anatomy普通, 有点死板(标准站桩, 动作生硬等)
bad anatomy: 业余水准, anatomy扭曲, 存在夸张不合理的变形等, 不符合人体结构 https://danbooru.donmai.us/posts/5030231
SKIP: 跳过 (不是人像, 脸被遮住, 人物太远等) *动物类应该按有脸打标 | ['good anatomy', 'mostly good', 'average anatomy', 'bad anatomy', 'SKIP'] | | five_category_rating | Overall Rating? | label_selection | True | best quality: 挑不出毛病全方位的好图
good quality: 整体还不错 看起来有美感, 但能看出有小问题
average quality: 普通, 没有太多特点, 但也没有太多问题
bad quality: 有明显问题的图 (但没到恐怖)
worst quality: 非常坏或者达到了恐怖谷的图
SKIP: Skip | ['best quality', 'good quality', 'average quality', 'bad quality', 'worst quality', 'SKIP'] |
Data Instances
An example of a dataset instance in Argilla looks as follows:
{
"_server_id": "59ff580c-1e3a-4a8b-9603-caeca2a31966",
"fields": {
"image_url": "https://bucket-external.s3.amazonaws.com/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6158698.webp?AWSAccessKeyId=AKIAVVWUPRZ2AC6O2S3I\u0026Signature=HDARwKGZEQva6non9AvypshVK%2BE%3D\u0026Expires=1727994782",
"s3_uri": "s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6158698.webp"
},
"id": "872427f0-9599-45be-b050-24f361954a40",
"metadata": {},
"responses": {
"anatomy_rating": [
{
"user_id": "6951ac60-243a-468a-b9fc-926520320d48",
"value": "mostly good"
}
],
"color_contrast_rating": [
{
"user_id": "6951ac60-243a-468a-b9fc-926520320d48",
"value": "harmonious but not special"
}
],
"composition_rating": [
{
"user_id": "6951ac60-243a-468a-b9fc-926520320d48",
"value": "average or none composition"
}
],
"detail_rating": [
{
"user_id": "6951ac60-243a-468a-b9fc-926520320d48",
"value": "some detail"
}
],
"expressive_rating": [
{
"user_id": "6951ac60-243a-468a-b9fc-926520320d48",
"value": "average expressiveness"
}
],
"five_category_rating": [
{
"user_id": "6951ac60-243a-468a-b9fc-926520320d48",
"value": "good quality"
}
],
"lighting_rating": [
{
"user_id": "6951ac60-243a-468a-b9fc-926520320d48",
"value": "minimal or none lighting"
}
],
"subject_background_rating": [
{
"user_id": "6951ac60-243a-468a-b9fc-926520320d48",
"value": "yes"
}
]
},
"status": "completed",
"suggestions": {},
"vectors": {}
}
While the same record in HuggingFace datasets looks as follows:
{
"_server_id": "59ff580c-1e3a-4a8b-9603-caeca2a31966",
"anatomy_rating.responses": [
"mostly good"
],
"anatomy_rating.responses.status": [
"submitted"
],
"anatomy_rating.responses.users": [
"6951ac60-243a-468a-b9fc-926520320d48"
],
"color_contrast_rating.responses": [
"harmonious but not special"
],
"color_contrast_rating.responses.status": [
"submitted"
],
"color_contrast_rating.responses.users": [
"6951ac60-243a-468a-b9fc-926520320d48"
],
"composition_rating.responses": [
"average or none composition"
],
"composition_rating.responses.status": [
"submitted"
],
"composition_rating.responses.users": [
"6951ac60-243a-468a-b9fc-926520320d48"
],
"detail_rating.responses": [
"some detail"
],
"detail_rating.responses.status": [
"submitted"
],
"detail_rating.responses.users": [
"6951ac60-243a-468a-b9fc-926520320d48"
],
"expressive_rating.responses": [
"average expressiveness"
],
"expressive_rating.responses.status": [
"submitted"
],
"expressive_rating.responses.users": [
"6951ac60-243a-468a-b9fc-926520320d48"
],
"five_category_rating.responses": [
"good quality"
],
"five_category_rating.responses.status": [
"submitted"
],
"five_category_rating.responses.users": [
"6951ac60-243a-468a-b9fc-926520320d48"
],
"id": "872427f0-9599-45be-b050-24f361954a40",
"image_url": 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",
"lighting_rating.responses": [
"minimal or none lighting"
],
"lighting_rating.responses.status": [
"submitted"
],
"lighting_rating.responses.users": [
"6951ac60-243a-468a-b9fc-926520320d48"
],
"s3_uri": "s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6158698.webp",
"status": "completed",
"subject_background_rating.responses": [
"yes"
],
"subject_background_rating.responses.status": [
"submitted"
],
"subject_background_rating.responses.users": [
"6951ac60-243a-468a-b9fc-926520320d48"
]
}
Data Splits
The dataset contains a single split, which is train.
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation guidelines
Classify the Images according to the rules.
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
[More Information Needed]
Contributions
[More Information Needed]
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