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README.md
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data_files:
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- split: train
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path: data/train-*
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---
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# 2k Ranked Images
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This dataset contains roughly two thousand images ranked from most preferred to least preferred based on human feedback on pairwise comparisons (>25k responses).
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The generated images, which are a sample from the [open-image-preferences-v1 dataset](https://huggingface.co/datasets/data-is-better-together/open-image-preferences-v1)
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from the team @[data-is-better-together](https://huggingface.co/data-is-better-together), are rated purely based on aesthetic preference, disregarding the prompt used for generation.
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This is a new modality of preference data for us, different from our typical pairwise preferences, that we wanted to try out. If this type of data is useful of interesting to
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you, please ❤️ the dataset. If there is community interest and this dataset gets 50 ❤️s we will rank the full set of 17k images!
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## Examples
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data_files:
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- split: train
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path: data/train-*
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tags:
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- t2i
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- preference
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- ranking
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- rl
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- image
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pretty_name: 2k Ranked Images
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---
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<style>
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.horizontal-container {
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display: flex;
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flex-direction: row;
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justify-content: center;
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gap: 60px;
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}
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.image-container img {
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max-height: 250px; /* Set the desired height */
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margin:0;
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object-fit: contain; /* Ensures the aspect ratio is maintained */
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width: auto; /* Adjust width automatically based on height */
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box-sizing: content-box;
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}
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.image-container {
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display: flex; /* Aligns images side by side */
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justify-content: space-around; /* Space them evenly */
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align-items: center; /* Align them vertically */
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gap: .5rem
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}
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.container {
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width: 90%;
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margin: 0 auto;
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}
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</style>
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# 2k Ranked Images
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This dataset contains roughly two thousand images ranked from most preferred to least preferred based on human feedback on pairwise comparisons (>25k responses).
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The generated images, which are a sample from the [open-image-preferences-v1 dataset](https://huggingface.co/datasets/data-is-better-together/open-image-preferences-v1)
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from the team @[data-is-better-together](https://huggingface.co/data-is-better-together), are rated purely based on aesthetic preference, disregarding the prompt used for generation.
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This is a new modality of preference data for us, different from our typical pairwise preferences, that we wanted to try out. If this type of data is useful of interesting to
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you, please ❤️ the dataset. If there is community interest and this dataset gets 50 ❤️s we will rank the full set of **17k** images!
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## Examples
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**Some of the most preferred images**
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A lot of the most preferred images represent beautiful and serene landscapes and nature scenes.
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<div class="horizontal-container">
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<div clas="container">
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<div class="image-container">
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<div>
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<img src="https://datasets-server.huggingface.co/assets/Rapidata/2k-ranked-images-open-image-preferences-v1/--/33dd4adb2f629d5e9d455155031d8fb177bd7c08/--/default/train/0/image/image.jpg?Expires=1744213850&Signature=dpCD0kg5Oq1nZt8lahuKTdd0xdwxdqwoDSp9X3C792oJY4IzjNzoEb2-DKuGL5vi6yQVXI8iNl4a79HZ7TEy~H0sksgAW2zPsCwfR4UJNMKj8DF-n7KCgI9~bfClMp3tStjjbK2~T3IP~Jjedv~M~BvjcQP2hAvnX0NDrXcpz6HgD2u9Xd3U4dphsgc8V6KfbdDywgNj350kEx9m~aVodAahKbxO4xwbwaQA44xUwHbWz~4UymnjoJXC~6a6wRDMyFrwXe-aEmGlXrQA5HxnXDQvuiVQedQ2OKMkKEWU117mq9fK6M7Huj7S0SjVPX4uLHo2HbD54LzTH70U6GX27A__&Key-Pair-Id=K3EI6M078Z3AC3" width=300>
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</div>
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<div>
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<img src="https://datasets-server.huggingface.co/assets/Rapidata/2k-ranked-images-open-image-preferences-v1/--/33dd4adb2f629d5e9d455155031d8fb177bd7c08/--/default/train/4/image/image.jpg?Expires=1744213850&Signature=IckVzQaIqPFqO2F8DD9~hGN0SzCWOWpDey3QOsJByPmqc8Tkx43j5IXaL~erDcG5YqgjwZM52jhHcz0uNznEF3ExBdeZYjihzsWdfRcql1RUXyuUwFrHxfikvwZSd~h22zBwSb37JlnVDDDAyzFuwGZo8YhknCzhIJAC~gHGeNCBM-2v1C~ue7LFsgFVDGZ9ppnuFUJn4gdmU8~sGke2a4OH4hlJnnYu3p29HONKLgMidcXMsJsbEZq0yN-w7zpH0Gi7hLG06pGaeqIczZ87Ft-RGnTNyfV58dOz5kc4QPlfEldOwucf0dmAC7PUI5JK2oPIWSeOe~3b88B~bTuZiA__&Key-Pair-Id=K3EI6M078Z3AC3" width=300>
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</div>
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<div>
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<img src="https://datasets-server.huggingface.co/assets/Rapidata/2k-ranked-images-open-image-preferences-v1/--/33dd4adb2f629d5e9d455155031d8fb177bd7c08/--/default/train/8/image/image.jpg?Expires=1744213850&Signature=I6To504Q1~3a8vVMN0b2M72LN7iOcdOrN3lZQZqwHvG8m4NSc2Z8-y55ArbY25cU390jeQRTPq54KZZAcdR7Q-TsyeH7wz0MPcFtdxOcsMVkALxU3XrHkO9js5KGaxgWskEj8cZhuib79Lfd0tPPv6omxj3hUiotaPI8IAzZmcWx885JZ6aF54WT1CKBWeXSujNbkYSiUaa8CLWxvF1xLYbBC9R1EtnNb~QQ2tYK0iBzD5qhdqNFSvsjOazI4ohXuxOYjjAu-5PO4DVp1fkEsPH7HIEK4RN-Kn0b8UdZ3zvigokYr4iOJs7er3nhh3uZnoxPMX9ZCSFZfpjc6vbdzg__&Key-Pair-Id=K3EI6M078Z3AC3" width=300>
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</div>
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<div>
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<img src="https://datasets-server.huggingface.co/assets/Rapidata/2k-ranked-images-open-image-preferences-v1/--/33dd4adb2f629d5e9d455155031d8fb177bd7c08/--/default/train/12/image/image.jpg?Expires=1744213850&Signature=zNA4jt4~IAEIzOydpqdioC3dKAeNmkjtydBXBLu9UFTPXvCcMFKQ-bsHcSj7HL5XqARTgWW3ILIlT1ZxV2NiBRiLZEPLQrwh~0MAlMImqdIIDKt4vw9FjAMcmGNLopkNCi1r1Pj0-1F9EMrQ6ly~c9OWAXpuWLgEZ-SkwLpWSCO4LswS61GxvLNbCPxgSJn4yZiNyO~cQ5hJ71UBAJzvq9nT9QQdPMTa~pzs4BTZnOZhB5LJcmHQjLQG1HQz9H7jVQJRcBtQDb6s1FXsH4R6VFv35SSVBqv6~CF7NGzEDS35wKb2TcR713yckFyXGCyL0vC3U5NauINYvVE7F669rw__&Key-Pair-Id=K3EI6M078Z3AC3" width=300>
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</div>
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</div>
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</div>
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</div>
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**Some of the least preferred images**
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The least preferres images are more divers, but often contains scary, malformed, or just plain boring subjects.
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<div class="horizontal-container">
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<div clas="container">
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<div class="image-container">
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<div>
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<img src="https://datasets-server.huggingface.co/cached-assets/Rapidata/2k-ranked-images-open-image-preferences-v1/--/33dd4adb2f629d5e9d455155031d8fb177bd7c08/--/default/train/1994/image/image.jpg?Expires=1744214544&Signature=tpHSWYO1hpgPQxgiuSzXBKnmDpKliROp3madTYRF~IHP0qCyJr7b1HazcRIKA9zeKD-TxT-r6H2uOeUrbItB7etRK~eXbggh-svxhZnv5hFODuRkvgUmj7IRP0g7c33KF8RbaWbqc9~fX1bFqwikWgV5ei2R6MpQ4BBZ27VtI5whkdp3hSOVmYiwKR0zpaw6wZc9IYOXFRT8NQgeiq8--GmPGpyGHHZuMzoLyqL4l4H2sZyZQ2qCdtLxxAcYHsoqMBQF8mjWlehI43l31W6ZZAnfDGad~Sj1DcKcPYWRYzett3~T2rJNJ6lSPevoQDl3D3Ii04s~Ex3FlWd2E44yuA__&Key-Pair-Id=K3EI6M078Z3AC3" width=300>
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</div>
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<div>
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<img src="https://datasets-server.huggingface.co/cached-assets/Rapidata/2k-ranked-images-open-image-preferences-v1/--/33dd4adb2f629d5e9d455155031d8fb177bd7c08/--/default/train/1989/image/image.jpg?Expires=1744214544&Signature=B4L8Wzq11qoGy1NepoFSDzyVGw781FRhnlncDBR5J5O76XlGAC-r6hKKLskxm6EOslxXJrgnofezSZVdjXSsFDVqnqN7~PrAkSTq6~78dbtZp9PiNm2rhunm8tAeWVqrjZ-pdfd7qcQgRtUt2KHrWF7zG3rbT4jdIitEDtPNLP4ceSMJ1qgaQ~QRPyGO7vUH2bMWtBawgF5-TDRb4wk2GCc7RxgiO~istX9m305Wqq7kOF6H76efvvblVLUmDeYGs4U9GYJQXb278cwL~25m-6-YdpViQe612Qf07KQjtvhOvgvHGzVbjINGpi1oXaSQVPXodOdkQaB8Fbt6fa8fvQ__&Key-Pair-Id=K3EI6M078Z3AC3" width=300>
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</div>
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<div>
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<img src="https://datasets-server.huggingface.co/cached-assets/Rapidata/2k-ranked-images-open-image-preferences-v1/--/33dd4adb2f629d5e9d455155031d8fb177bd7c08/--/default/train/1982/image/image.jpg?Expires=1744214544&Signature=0VG1LJGvgLV07mP6fr~ClaPTdPKUu5xClzxQxIPv767ixTcM2pxzOH1tCcscvSZano2vFzXzd5-WO8hiLVw5cD9azguV97oYeqyfIJpbIdwJR2~dKHqg70ANcGdkPjYlwJWeObYk7uZbrL-u~WumS1wTC7xU~o~2fG5rF~p-DNzR9RANG3B-dQrMqdqdkVqCMVmtp9XxGor8ZnJQi98Nv4owXkyQuEZIq705vMbH1oh~rbVUpo7QR28tnvvovxU6iPMEYBLRoB6~WCsQ~LmcklC~NjbirNtNKfYl9TffpTU9IAU~3qkl4xyUUEl1yd0FRflMCquM1F2g4p11Q-6TSA__&Key-Pair-Id=K3EI6M078Z3AC3" width=300>
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</div>
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<div>
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<img src="https://datasets-server.huggingface.co/cached-assets/Rapidata/2k-ranked-images-open-image-preferences-v1/--/33dd4adb2f629d5e9d455155031d8fb177bd7c08/--/default/train/1980/image/image.jpg?Expires=1744214544&Signature=RuUHr8f1wQ5jJoPBFsjlGFfPgq0rhtCLwDHfuz0BXXz9uQ4boGkwd1kXqXmcTvA9Gu7R3l0apBgcKr2~SjfW-TI~2h6XEN~oAKjiV5QSndbLw9G7bEee~jSoKBhRoEtnt6s0uc1wdmJYaNY8IXR366qU-6ttu4xSWkbxfbl6VMCWzm~qp7uT-iqoSwBCxuJrd095~tB-l3R-QjT74T-zqdSN9Lta3pFyd1PrKmlwHruYHwkWwqufegjlX78Zo6SLY01w9gqkTm5stqqSZQ-UCcJD~AAnZXNMf47qw6tXfPhDvdOL5Dt5sM-Ini-K8-3Oxwc~01H2Q-daxUB~pkDINw__&Key-Pair-Id=K3EI6M078Z3AC3" width=300>
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</div>
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</div>
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</div>
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</div>
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<a href="https://www.rapidata.ai">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/66f5624c42b853e73e0738eb/jfxR79bOztqaC6_yNNnGU.jpeg" width="400" alt="Dataset visualization">
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</a>
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Rank your own images through [our API](https://docs.rapidata.ai)!
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