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c11311f1-be59-46e0-889c-690a67901ed0 | completed | c7202d51-973b-4ccf-91d2-3e3dd8652b25 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5357122.webp | [
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a11ca01e-6917-4eec-bac8-5494724e1a49 | completed | bd1f5492-33c8-421c-ad3c-3b7bca093bba | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5090114.webp | [
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b548b96e-d72b-4e2c-967a-d43f9967d4f0 | completed | 43ff6396-2ecb-436a-a275-a81ad95ecb47 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5549756.webp | [
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|
79f4a132-c7de-46b9-a3fc-7f82d9b8d721 | completed | 07769fae-97f3-4870-8a41-fa6189632193 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1718583460573634830_1.webp | [
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|
9f4e142b-baaa-40a5-990a-42d3a857307b | completed | d601a087-0d17-4209-9157-553adb8739cf | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5103587.webp | [
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|
710da533-adc0-4878-954f-57e995e2efb7 | completed | b39dee44-f4f9-4af6-8273-294adc184ccd | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1478324925161435139_1.webp | [
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|
ab1aeb1f-15f1-4b47-b23c-1c2a1b947a25 | completed | 52b3f4dd-a3ab-41e7-922a-aaac2886c255 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4492098.webp | [
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|
0032334c-e9f1-4bfd-bfe1-d775464a468f | completed | 8df2015d-5e18-4e33-adf4-00f3d881a800 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5029557.webp | [
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|
732ade74-e3f7-43cc-a48c-276626c0917e | completed | a9577813-fc82-4424-aa1f-d9a8ebc602bb | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5629385.webp | [
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|
52ee7e9b-30cf-4aa4-9587-4885a83f1590 | completed | 7f2b48ab-d913-470f-b43f-bec2e3e619e7 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_3682721.webp | [
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|
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"yes"
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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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"mostly good"
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"submitted"
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"good quality"
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"submitted"
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|
5483a540-89e5-4513-8c56-924c68de88f4 | completed | 0f6e0b10-c711-4f24-946d-b95da5eda047 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4674012.webp | [
"thoughtful composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"correct dynamic lighting"
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] | [
"submitted"
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"harmonious but not special"
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] | [
"submitted"
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"yes"
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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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"mostly expressive"
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"average anatomy"
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"good quality"
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] | [
"submitted"
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|
e974ac52-8eef-4819-aec0-f8b456aa7d47 | completed | d782cbd5-558c-4a59-9f58-22a7dd91fdf2 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1548609075076042752_1.webp | [
"has 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"
] | [
"vibrant and popping"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly 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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"average anatomy"
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"submitted"
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] | [
"submitted"
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|
986b26b4-2b8e-450d-9926-35ba79141e88 | completed | 51ad12ab-7217-426f-bec7-d9fc170886e6 | 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"
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"minimal or none lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"harmonious but not special"
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"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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"some detail"
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"submitted"
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] | [
"submitted"
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|
872427f0-9599-45be-b050-24f361954a40 | completed | e5f6f91b-4087-4a56-b1d4-bedf92a1883a | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6158698.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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"submitted"
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"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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"submitted"
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"mostly good"
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"submitted"
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"good quality"
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] | [
"submitted"
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|
5a8c3445-1259-4a7a-9dac-b44e85b4fa53 | completed | 57382834-6cf1-4de6-824d-9a579bcbd371 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_3631796.webp | [
"has composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"has lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"harmonious but not special"
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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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] | [
"submitted"
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"mostly expressive"
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"submitted"
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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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|
bab6fefb-c4ad-44dc-9fa9-15131f226640 | completed | cf5daed1-9613-4259-9e81-6488fa5e67b5 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6912702.webp | [
"average or none 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"
] | [
"average colors"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"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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"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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|
6c27bfb7-d8f7-4a04-9103-659c4e8c58ad | completed | 9537057c-d6fb-4a83-8069-34ff86214e1d | 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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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"vibrant and popping"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
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] | [
"submitted"
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"average detail"
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] | [
"submitted"
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"expressive image"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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] | [
"submitted"
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"good quality"
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] | [
"submitted"
] |
|
5f02c9f9-a46a-4ab9-b3e7-ba25b83a6aba | completed | 06489052-f998-4bd3-871c-fdb58c572533 | 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"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average expressiveness"
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] | [
"submitted"
] | [
"mostly good"
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] | [
"submitted"
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"average quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
a2c71afa-fca8-48cc-9b74-5e0be6b13fb9 | completed | a125cfd2-c4f7-4518-a8e3-789a70eac1b0 | 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"
] | [
"no"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"stiff"
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] | [
"submitted"
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"average anatomy"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"bad quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
6ff628e9-7466-44ec-ab70-4d3ca752b72d | completed | 6781534f-7766-4532-b163-7c186433faed | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6219719.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"
] | [
"mostly yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly expressive"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
715b2009-f719-4652-8158-089fd8d26e5a | completed | 81de1349-799e-49c9-9600-699c3b922239 | 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"
] |
|
c7e96367-1f9c-45a6-8b7b-0b9dcbaf53bb | completed | 1f445544-27fb-4d19-93aa-156248406b87 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4059666.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"
] | [
"mostly yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"some detail"
] | [
"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"
] |
|
d8ac66cb-f630-488b-8358-5a81c7bcbc1f | completed | a866b9f0-8896-4662-b722-02a533cea2f1 | 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"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"no"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"expressive image"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly good"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
8d292e8b-c525-4013-86fe-ef75c8ed84be | completed | adb8c28a-3dde-4d2a-997e-86492e3b6d75 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5872395.webp | [
"average or none 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"
] | [
"good anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
96ea6edf-0bb6-4dfb-a589-84dbdade2fd2 | completed | 8071a49d-4dd3-4cf1-849d-f2b993f83948 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1493159084929208323_1.webp | [
"average or none 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"
] | [
"mostly expressive"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly good"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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|
5614c5e0-593c-4fae-90c5-9c0649f58255 | completed | 8dab2de7-a0bf-45bd-89b9-9c2e2a4df9ad | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6499052.webp | [
"has composition"
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"submitted"
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"vibrant and popping"
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"submitted"
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|
15ab2370-c088-494f-a48d-efc5fdfcd199 | completed | ec2f46a2-4ef9-4039-ac11-9e4c238b834f | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5623471.webp | [
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"yes"
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"submitted"
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|
b29a65f8-c517-46c8-a57c-3d43da8fcf18 | completed | 53c42121-6df8-4350-adf7-7f2c1d5b3520 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1686689167160537088_1.webp | [
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|
214f75c2-491a-4889-9cb3-7155b7a74c4c | completed | f45aeb29-92dd-4e8f-a357-58a0eeec270b | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6059121.webp | [
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"submitted"
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|
02f1de2c-27a7-4848-b4b7-1740297224b3 | completed | c0bb9aae-6e13-432a-8117-c4b6f6dda57b | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4282044.webp | [
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"submitted"
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"correct dynamic lighting"
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"submitted"
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"yes"
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"submitted"
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|
0902b69c-87da-4498-9501-72964e0194c6 | completed | 017d3df1-277f-4519-8fe0-607d25defaeb | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_2884829.webp | [
"thoughtful composition"
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|
e7653385-151b-437d-a6ba-8050cc2e213c | completed | e9a1ea37-66b2-46a4-ad0b-6f897ed2a08b | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6008165.webp | [
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"vibrant and popping"
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"submitted"
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|
ac33d37c-429f-4bce-a638-a196bec65a23 | completed | c8eb0d91-9222-4326-b7bb-d09e72453826 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5433472.webp | [
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|
e84e4a30-5c9d-4495-a134-077f90593300 | completed | ca6d9e4d-0abf-45b9-8a25-25c7152c8561 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/104735963_p0.webp | [
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"submitted"
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|
1c454992-4226-42dc-b5a0-4ce67c17be80 | completed | 74cba5df-2382-4225-8893-bde40f2a1704 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/100839663_p0.webp | [
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"submitted"
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"no"
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|
f7396d2f-bb0d-4ea9-9013-ecf83250cb95 | completed | 37095878-5524-4695-995a-7191e5a0b0ff | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5271761.webp | [
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|
7cb1564c-5435-437c-960c-e358c15060a7 | completed | edd008fa-54f7-4b27-9260-c9beada8aac7 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5848030.webp | [
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"submitted"
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"minimal or none lighting"
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"submitted"
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"highly detailed"
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"submitted"
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|
def202a9-6b32-4f5d-bb88-0be174b8cb95 | completed | 13d56bca-f80a-415c-9d96-b98366206d63 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5399344.webp | [
"thoughtful composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"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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|
14ded359-7c48-4526-9c85-f6554fbfce27 | completed | 640f447a-834d-461d-9ab3-373bfabc43b6 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_7048654.webp | [
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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"submitted"
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|
7059a785-aa74-4e4f-8e23-728ad9934d15 | completed | 86f22873-f0b2-42d6-98eb-45378379732b | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1558866589881352192_1.webp | [
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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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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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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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|
8472a5eb-d578-49d9-8a6e-e480b19d9c26 | completed | aed0770e-2d34-4099-9693-a7c49a6f11aa | 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"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"highly detailed"
] | [
"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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|
f4e89376-8ecd-46ec-8924-d56e0885b669 | completed | c5d13608-bf0e-46ea-888e-e2fcf37d7753 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6932235.webp | [
"has composition"
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"submitted"
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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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"average detail"
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"submitted"
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"average expressiveness"
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] | [
"submitted"
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|
028b5f46-12d1-4818-8f98-9eb4e2d92833 | completed | 0f0134d8-ac66-4e6e-ab1d-3ae1924f15bb | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/100112488_p0.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"
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"vibrant and popping"
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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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"bad anatomy"
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"submitted"
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"good quality"
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] | [
"submitted"
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|
37c5a310-703b-4496-9aef-71a79fe62f49 | completed | 7616b88b-0553-4d74-b063-3625d48a11e0 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4637933.webp | [
"has composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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] | [
"submitted"
] | [
"vibrant and popping"
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] | [
"submitted"
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"mostly yes"
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"submitted"
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"submitted"
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"bad anatomy"
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"submitted"
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|
c2339715-9fdd-4cca-9dd4-0dadd855dfb2 | completed | 24a43bc3-d396-4974-ad70-1ecc4815d16c | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_7536601.webp | [
"has 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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"no"
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"submitted"
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"highly detailed"
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"average expressiveness"
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"average quality"
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] | [
"submitted"
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|
e64d29d0-acc4-48f4-9676-43f77f429228 | completed | 9ce404a9-8e29-4bb8-a2cc-731e335874fd | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5677571.webp | [
"average or none 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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"no"
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"submitted"
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"highly detailed"
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"average expressiveness"
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"submitted"
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"average quality"
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] | [
"submitted"
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|
3be5c05a-70fa-4ac3-ac8d-37687d3653c6 | completed | d49e6156-c319-46cc-8127-ef2ce0c73960 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1712978341236744321_1.webp | [
"has 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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"average expressiveness"
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"average quality"
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] | [
"submitted"
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|
1cffb663-fac5-49c0-8591-3581c59e11d1 | completed | de6d6653-4e91-4e73-8bb8-52f6633348e1 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6077066.webp | [
"has composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"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"
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"highly detailed"
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"submitted"
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"good quality"
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] | [
"submitted"
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|
270f4e73-9adc-4a01-aac2-955c12966a07 | completed | 29def517-9101-4802-b60d-11fd62b45985 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1340552119997218816_2.webp | [
"has composition"
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"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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"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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"submitted"
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"average expressiveness"
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] | [
"submitted"
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|
524b5a75-9545-4d08-9e8a-548d66d6f2de | completed | d2f252e5-d8c4-4faf-aae6-187884cf5ad3 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4926761.webp | [
"bad composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"bad lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"bad 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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|
f1bcd8c1-df00-49e1-9690-e95b3796ffd3 | completed | e682c860-4522-45dd-b311-c0929b5659d9 | 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"
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] | [
"submitted"
] | [
"yes"
] | [
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"submitted"
] | [
"highly detailed"
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"average anatomy"
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"average quality"
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] | [
"submitted"
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|
c5502c9d-bed8-4d0a-9e56-c9e429b094f4 | completed | 4f990093-207c-4eae-9665-cd5d5f7f82d5 | 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"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
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"average anatomy"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
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] | [
"submitted"
] |
|
1cc2da4f-8961-4db1-bab5-9cb17161fe63 | completed | 083250c2-7c19-40ba-84f5-4f142f77d454 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1772911441986650384_1.webp | [
"average or none 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"
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"mostly expressive"
] | [
"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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"good quality"
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] | [
"submitted"
] |
|
0b861b95-de43-43a6-8540-f8c9b4b914fc | completed | 1448a3fb-cf50-4732-9228-3b30322aaeb7 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6303438.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"
] | [
"average expressiveness"
] | [
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] | [
"submitted"
] | [
"average anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
a7720929-d0e8-4501-9143-c180cbf18fdc | completed | b8f3ee7a-1a08-4fe6-99ab-b8d011127282 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6446709.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"
] | [
"mostly expressive"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
f0a38347-9cf7-43bd-8ab6-1bc1b4b42d1d | completed | 9d398c27-125e-4eb3-a4aa-a2445c044e62 | 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"
] |
|
87f16267-14a1-41d1-a685-ec4b6bef0d15 | completed | 22ae51ff-231d-4870-a395-5b7039a447cf | 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"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"vibrant and popping"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
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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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"good quality"
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"submitted"
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|
d24e1ff6-6e01-44b7-a9c0-2b33fcac8142 | completed | 5e1bceb2-1341-478e-a277-965251e85cf7 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1390157070347825153_1.webp | [
"thoughtful 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"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"some detail"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"mostly expressive"
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"submitted"
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"average 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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|
ddce497d-59fc-4eb4-8bef-7aa2b32e1a3b | completed | 2c0824fe-8a29-4af9-b47d-697c1cd3ed7b | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5313462.webp | [
"thoughtful composition"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"minimal or none lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"average colors"
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"submitted"
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"yes"
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"average detail"
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"submitted"
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"good quality"
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] | [
"submitted"
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|
afd5d7ab-0be2-4fec-964a-635924cb6780 | completed | 800896f9-1ef5-47b6-8c7f-265c0b6c7826 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_7595013.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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"submitted"
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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 quality"
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] | [
"submitted"
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|
f417b0a1-a9c6-4de5-b7bb-cfb668a9250f | completed | b0a37453-fa54-4038-b00e-08c1eab718e2 | 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"
] | [
"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"
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] | [
"submitted"
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"highly detailed"
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] | [
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"average expressiveness"
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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 | 8694f0be-0e9e-42a6-bc2a-9b158d1154d3 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_3658941.webp | [
"has composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"minimal or none lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"harmonious but not special"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"yes"
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"6951ac60-243a-468a-b9fc-926520320d48"
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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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] | [
"submitted"
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|
dd51609e-6c0c-422b-9b8d-734aa8c53c9a | completed | 62fe8cfc-7781-4dd1-8559-77c80c2106d6 | 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"
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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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"average anatomy"
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"good quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
fbdce7d2-8418-40b4-b757-8b2f79105c99 | completed | a816909c-cf8f-4e93-ae0a-38deee621d95 | 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"
] | [
"minimal or none lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average colors"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"yes"
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] | [
"submitted"
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"average expressiveness"
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] | [
"submitted"
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"mostly good"
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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"
] |
|
a196886c-f046-4b5b-8772-3dd1368db762 | completed | 67fb1803-0d94-47da-86ac-b668405015e1 | 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"
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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"
] | [
"average quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
60f93ad4-8454-4638-8e1a-d894b28af5f1 | completed | 91d6de44-9334-4ea3-a46d-eeb484bc026a | 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"
] | [
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] | [
"submitted"
] | [
"average expressiveness"
] | [
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] | [
"submitted"
] | [
"bad anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"bad quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
1f8e85de-f74e-4923-ac29-19010a0107e4 | completed | ce4e7652-f19d-4c46-b1e9-a081362472b3 | 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"
] | [
"minimal or none 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"
] | [
"bad anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"worst quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
8a4f3521-1424-4acc-8290-918e8c744bbc | completed | 5302e9d8-e5a9-47a4-8103-115e2b119861 | 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"
] | [
"mostly expressive"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly good"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
4c0cbb52-771b-4b3d-8dc0-0fca9fe862e1 | completed | 804ecc6d-ec1d-4bf1-aed1-06e439fbf93f | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1560798490862751745_1.webp | [
"average or none 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"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
f46c39c1-329d-4229-8a20-1c4bbcd2dba6 | completed | 0eff1b3b-6f54-4c8f-a964-c4421dac9caf | 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"
] | [
"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"
] |
|
a87617e8-09fa-4b4c-b12b-5af2c9b4a703 | completed | 70da924a-a9c1-40b1-9265-d122f009a9b5 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5060931.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"
] | [
"mostly yes"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average 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"
] |
|
5a6cfe35-33b2-4de2-b43a-b3f6b5f785df | completed | 2db64bc1-0727-42f6-8ecf-4572293fd36c | 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"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average expressiveness"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
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"submitted"
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|
327258b0-05cc-4ca5-955d-b74af580bac4 | completed | 9ef4cf4b-b2e9-4cad-ad22-a6b849a26f42 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4432578.webp | [
"thoughtful composition"
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"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"
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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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"submitted"
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"best quality"
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] | [
"submitted"
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|
92997268-1189-4b91-a8aa-67a616e8e313 | completed | 6ff05631-39ab-4425-bf41-26eb8a4c937d | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6043347.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"
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"submitted"
] | [
"vibrant and popping"
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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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"bad anatomy"
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"average quality"
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"submitted"
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|
7ba43028-3784-4aef-9ed1-6f9e45c1b324 | completed | 83e295bc-b7cc-45d4-aec0-6755e2df1425 | 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"
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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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"some detail"
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"submitted"
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"mostly expressive"
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"average anatomy"
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"good quality"
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] | [
"submitted"
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|
1e4c4cd8-7e1d-4d6f-b64a-ab80361ba055 | completed | a4e4da72-4c06-415c-aa5b-68bb3519a6d6 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4367315.webp | [
"average or none composition"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"minimal or none lighting"
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"6951ac60-243a-468a-b9fc-926520320d48"
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"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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"highly detailed"
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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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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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|
4f7e64b7-c484-4dfb-baf6-7d8fa3b2d90f | completed | b1f89753-dd02-4353-bc6a-e4fb0258ae44 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_7447308.webp | [
"thoughtful 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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"6951ac60-243a-468a-b9fc-926520320d48"
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"submitted"
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"highly detailed"
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] | [
"submitted"
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"expressive image"
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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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"best quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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|
8bca4419-e83b-41db-a8e0-342162e4c40a | completed | e68ff6d4-a222-40f6-9173-b1c3c720250c | 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"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average colors"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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"yes"
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] | [
"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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"average quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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|
786da8be-fe53-407c-8be2-c854475b1e30 | completed | 3046182e-454d-4bb9-9dab-e239891cbb70 | 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"
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"no"
] | [
"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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"submitted"
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"average quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
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|
ae5d3fb6-34b3-40a0-ac23-a753b0a42ecc | completed | 687010d7-0952-42dd-8549-c5c763b5bd39 | 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"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"harmonious but not special"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"yes"
] | [
"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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"average expressiveness"
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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"
] |
|
7ca63aa5-567b-497f-8d67-fb1a862e59f4 | completed | 8c36c2dd-9c12-4511-8f6a-925dac2e85ba | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_4842091.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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"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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"mostly expressive"
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] | [
"submitted"
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"good anatomy"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"best quality"
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"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
742cbb57-af39-4324-a57f-ef121db11c6d | completed | d20923f2-4c10-4afb-8674-2199e276da42 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1749847204054094252_1.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"
] | [
"mostly expressive"
] | [
"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"
] |
|
d154c2d6-c9db-4f8a-810d-cb6970b6b73c | completed | b511c844-1aba-4d6f-ba14-c52cf7a4b3f6 | 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"
] |
|
e8e1c7e5-79dd-4b3e-8ae1-0deefc92076f | completed | b9bdb2f3-28fa-400e-80b6-dcd3616606a3 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1676788012632674304_1.webp | [
"average or none 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"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
31a51494-5f7d-4573-9028-a9030971ecca | completed | c5f25806-57a3-41a9-b561-8c896ce50840 | 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"
] | [
"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"
] | [
"bad anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"bad quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
76f97ee3-1db5-43f4-9169-0419fd5752ee | completed | ba4cc20c-b81f-4695-bd1a-6de290870016 | 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"
] |
|
3e425b33-6d5a-431b-8667-a8f089934d0b | completed | 79aa5ab8-67bd-4165-af7b-48e428000913 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5611801.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"
] | [
"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 | ba1bd186-3fa4-461d-8c46-5253cddc582e | 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"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
8d389e6f-26ab-47a6-8041-577af4505b2e | completed | 5a314052-dc2e-464a-8493-0a15605f1911 | 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"
] | [
"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"
] | [
"average anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
7f073bc1-b433-4dde-8e62-a4189155bc8c | completed | a823395a-9cbc-464e-b1b0-7b6e27cecd4b | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_3995363.webp | [
"average or none 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"
] | [
"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"
] |
|
eac7c6ed-b4a9-4812-ac6e-4346f70f9efa | completed | 577dcade-108f-410b-9511-24299f980fe7 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_5419157.webp | [
"thoughtful 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"
] | [
"expressive image"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly good"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"best quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
c5258b35-12b9-434b-82f5-f1fe47c3d654 | completed | 27e64624-9d32-45d2-9512-128eb36951b5 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1753365357438660801_1.webp | [
"average or none 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"
] | [
"average expressiveness"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
08fb08b9-3b70-4265-bd9a-1afe939a96d5 | completed | 7d372116-3ab4-4a99-8b44-75b42b690fac | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/1688748440455626752_1.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"
] | [
"mostly expressive"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly good"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
79ce70f5-1127-4846-ad6b-7ff545b208e7 | completed | 96544b34-29ae-4f29-94c3-da480c730746 | s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_7375472.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"
] | [
"highly detailed"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly expressive"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"mostly good"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"average quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
|
4659f6ac-7c3c-41a7-b2c0-5f3fda24bfbd | completed | 7d05b2c2-2b83-49bc-a522-84521e29c898 | 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"
] | [
"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"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"good anatomy"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] | [
"best quality"
] | [
"6951ac60-243a-468a-b9fc-926520320d48"
] | [
"submitted"
] |
Dataset Card for test_anime_rating_100_v3.1
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("trojblue/test_anime_rating_100_v3.1")
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("trojblue/test_anime_rating_100_v3.1")
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": "b28b096a-4b8f-49bc-843e-d1c89c3ff0ae",
"fields": {
"image_url": "https://bucket-public-access-uw2.s3.us-west-2.amazonaws.com/labelling/qft_v5c_twitter-logfav_9.6_60k/image_6567598.webp",
"s3_uri": "s3://bucket-external/dataset/dataset_qft/qft_v5c_twitter-logfav_9.6_60k/image_6567598.webp"
},
"id": "d0f58939-a0ab-45c5-a013-da54504c587a",
"metadata": {},
"responses": {
"anatomy_rating": [
{
"user_id": "6951ac60-243a-468a-b9fc-926520320d48",
"value": "good anatomy"
}
],
"color_contrast_rating": [
{
"user_id": "6951ac60-243a-468a-b9fc-926520320d48",
"value": "vibrant and popping"
}
],
"composition_rating": [
{
"user_id": "6951ac60-243a-468a-b9fc-926520320d48",
"value": "has composition"
}
],
"detail_rating": [
{
"user_id": "6951ac60-243a-468a-b9fc-926520320d48",
"value": "highly detailed"
}
],
"expressive_rating": [
{
"user_id": "6951ac60-243a-468a-b9fc-926520320d48",
"value": "expressive image"
}
],
"five_category_rating": [
{
"user_id": "6951ac60-243a-468a-b9fc-926520320d48",
"value": "best quality"
}
],
"lighting_rating": [
{
"user_id": "6951ac60-243a-468a-b9fc-926520320d48",
"value": "has lighting"
}
],
"subject_background_rating": [
{
"user_id": "6951ac60-243a-468a-b9fc-926520320d48",
"value": "no"
}
]
},
"status": "completed",
"suggestions": {},
"vectors": {}
}
While the same record in HuggingFace datasets looks as follows:
{
"_server_id": "b28b096a-4b8f-49bc-843e-d1c89c3ff0ae",
"anatomy_rating.responses": [
"good anatomy"
],
"anatomy_rating.responses.status": [
"submitted"
],
"anatomy_rating.responses.users": [
"6951ac60-243a-468a-b9fc-926520320d48"
],
"color_contrast_rating.responses": [
"vibrant and popping"
],
"color_contrast_rating.responses.status": [
"submitted"
],
"color_contrast_rating.responses.users": [
"6951ac60-243a-468a-b9fc-926520320d48"
],
"composition_rating.responses": [
"has composition"
],
"composition_rating.responses.status": [
"submitted"
],
"composition_rating.responses.users": [
"6951ac60-243a-468a-b9fc-926520320d48"
],
"detail_rating.responses": [
"highly detailed"
],
"detail_rating.responses.status": [
"submitted"
],
"detail_rating.responses.users": [
"6951ac60-243a-468a-b9fc-926520320d48"
],
"expressive_rating.responses": [
"expressive image"
],
"expressive_rating.responses.status": [
"submitted"
],
"expressive_rating.responses.users": [
"6951ac60-243a-468a-b9fc-926520320d48"
],
"five_category_rating.responses": [
"best quality"
],
"five_category_rating.responses.status": [
"submitted"
],
"five_category_rating.responses.users": [
"6951ac60-243a-468a-b9fc-926520320d48"
],
"id": "d0f58939-a0ab-45c5-a013-da54504c587a",
"image_url": 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",
"lighting_rating.responses": [
"has 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_6567598.webp",
"status": "completed",
"subject_background_rating.responses": [
"no"
],
"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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