CoolFace
21 shown

datasets

Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

modalityAllTextImageAudioTabularVideo
taskAllText generationQuestion answeringImage classificationSpeech
sizeAllUnder 1K1K – 10K100K – 1M1M – 10M
formatAllParquetJSONCSVWebDataset
sortTrendingMost likedMost usedRecently updatedNewest
Clear all
01Rapidata /text-2-video-human-preferences Rapidata Video Generation Preference Dataset This dataset was collected in ~12 hours using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. The data collected in this dataset informs our text-2-video model benchmark. We just started so currently only two models are represented in this set: Sora Hunyouan Pika 2.0 Runway ML Alpha Luma Ray 2 Explore our latest model rankings on our website. If you get value from this dataset and would… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences.imagetext-to-video1K<n<10K21 likes1.2k downloads2y agoHugging Face02Rapidata /text-2-video-human-preferences-wan2.1 Rapidata Video Generation Alibaba Wan2.1 Human Preference If you get value from this dataset and would like to see more in the future, please consider liking it. This dataset was collected in ~1 hour total using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. Overview In this dataset, ~45'000 human annotations were collected to evaluate Alibaba Wan 2.1 video generation model on our benchmark. The up to date benchmark… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-wan2.1.imagevideo-classificationn<1K20 likes1.1k downloads2y agoHugging Face03Rapidata /text-2-video-human-preferences-seedance-1-pro Rapidata Video Generation Seedance 1 Pro Human Preference In this dataset, ~60k human responses from ~20k human annotators were collected to evaluate Seedance 1 Pro video generation model on our benchmark. This dataset was collected in roughtly 30 min using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. Explore our latest model rankings on our website. If you get value from this dataset and would like to see more in the future, please… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-seedance-1-pro.imagevideo-classification1K<n<10K9 likes697 downloads1y agoHugging Face04Rapidata /text-2-video-human-preferences-veo3 Rapidata Video Generation Veo 3 Human Preference In this dataset, ~46k human responses from ~20k human annotators were collected to evaluate Veo3 video generation model on our benchmark. This dataset was collected in roughly 35 minutes using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. Explore our latest model rankings on our website. If you get value from this dataset and would like to see more in the future, please consider liking… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-veo3.imagevideo-classification1K<n<10K20 likes570 downloads1y agoHugging Face05Rapidata /text-2-video-human-preferences-moonvalley-marey Rapidata Video Generation Marey Pro Human Preference In this dataset, ~75k human responses from ~15k human annotators were collected to evaluate Marey video generation model on our benchmark. This dataset was collected in roughtly 30 min using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. Explore our latest model rankings on our website. If you get value from this dataset and would like to see more in the future, please consider… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-moonvalley-marey.imagevideo-classification1K<n<10K7 likes479 downloads1y agoHugging Face06ejhwang /VideoMMMU-Res-Text-Onlyimage10K<n<100K0 likes273 downloads1y agoHugging Face07Rapidata /text-2-video-human-preferences-veo2 Rapidata Video Generation Google DeepMind Veo2 Human Preference If you get value from this dataset and would like to see more in the future, please consider liking it. This dataset was collected in ~1 hour total using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. Overview In this dataset, ~45'000 human annotations were collected to evaluate Google DeepMind Veo2 video generation model on our benchmark. The up to… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-veo2.imagevideo-classificationn<1K15 likes227 downloads2y agoHugging Face08Rapidata /text-2-video-human-preferences-veo3.1 Rapidata Video Generation Veo 3.1 Human Preference In this dataset, ~74k human responses from ~23k human annotators were collected to evaluate the Veo 3.1 video generation model on our benchmark. This dataset was collected using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. Explore our latest model rankings on our website. If you get value from this dataset and would like to see more in the future, please consider liking it ❤️… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-veo3.1.imagevideo-classification1K<n<10K9 likes202 downloads11mo agoHugging Face09Rapidata /text-2-video-human-preferences-genmo-mochi-1 Rapidata Video Generation Genmo Mochi-1 Human Preference In this dataset, ~60k human responses from ~20k human annotators were collected to evaluate mochi-1 video generation model on our benchmark. This dataset was collected in roughtly 30 min using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. Explore our latest model rankings on our website. If you get value from this dataset and would like to see more in the future, please… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-genmo-mochi-1.imagevideo-classification1K<n<10K9 likes127 downloads1y agoHugging Face10Rapidata /text-2-video-human-preferences-pika2.2 Rapidata Video Generation Pika 2.2 Human Preference In this dataset, ~756k human responses from ~29k human annotators were collected to evaluate Pika 2.2 video generation model on our benchmark. This dataset was collected in ~1 day total using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. Explore our latest model rankings on our website. If you get value from this dataset and would like to see more in the future, please consider… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-pika2.2.imagevideo-classification1K<n<10K12 likes115 downloads1y agoHugging Face11Rapidata /text-2-video-human-preferences-sora-2 Rapidata Video Generation Sora 2 Human Preference In this dataset, ~75k human responses from ~15k human annotators were collected to evaluate the Sora 2 video generation model on our benchmark. This dataset was collected in roughtly 30 min using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. Explore our latest model rankings on our website. If you get value from this dataset and would like to see more in the future, please… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-sora-2.imagevideo-classification1K<n<10K10 likes80 downloads11mo agoHugging Face12eagle0504 /video-text-dataset eagle0504/video-text-dataset This is a tiny dataset with exactly four video samples for training. Field video: Video URLs (MP4/GIF format) Field question: Input prompt/question Field caption: Target description Dataset Structure video question caption sample1.mp4 What is in this video? There is a cat in the video. sample2.mp4 Can you describe what is happening? A cat is present in the scene. sample3.gif What is in the video? A gentle breeze… See the full description on the dataset page: https://huggingface.co/datasets/eagle0504/video-text-dataset.imagen<1K0 likes77 downloads11mo agoHugging Face13Rapidata /text-2-video-human-preferences-kling-v2.1-master Rapidata Video Generation Kling v2.1 Master Human Preference In this dataset, ~60k human responses from ~20k human annotators were collected to evaluate Kling v2.1 Master video generation model on our benchmark. This dataset was collected in roughtly 30 min using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. Explore our latest model rankings on our website. If you get value from this dataset and would like to see more in the future… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-kling-v2.1-master.imagevideo-classification1K<n<10K10 likes65 downloads1y agoHugging Face14Rapidata /text-2-video-human-preferences-luma-ray2 Rapidata Video Generation Luma Ray2 Human Preference If you get value from this dataset and would like to see more in the future, please consider liking it. This dataset was collected in ~1 hour total using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. Overview In this dataset, ~45'000 human annotations were collected to evaluate Luma's Ray 2 video generation model on our benchmark. The up to date benchmark can be… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-luma-ray2.imagevideo-classificationn<1K11 likes62 downloads2y agoHugging Face15Rapidata /text-2-video-human-preferences-sora-2-pro Rapidata Video Generation Sora 2 Pro Human Preference In this dataset, ~75k human responses from ~15k human annotators were collected to evaluate the Sora 2 Pro video generation model on our benchmark. This dataset was collected in roughtly 30 min using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. Explore our latest model rankings on our website. If you get value from this dataset and would like to see more in the future, please… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-sora-2-pro.imagevideo-classification1K<n<10K9 likes61 downloads11mo agoHugging Face16Rapidata /text-2-video-human-preferences-runway-alpha Rapidata Video Generation Runway Alpha Human Preference If you get value from this dataset and would like to see more in the future, please consider liking it. This dataset was collected in ~1 hour total using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. Overview In this dataset, ~30'000 human annotations were collected to evaluate Runway's Alpha video generation model on our benchmark. The up to date benchmark can… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-runway-alpha.imagevideo-classificationn<1K13 likes59 downloads2y agoHugging Face17Rapidata /text-2-video-Rich-Human-Feedback Rapidata Video Generation Rich Human Feedback Dataset If you get value from this dataset and would like to see more in the future, please consider liking it. This dataset was collected in ~4 hours total using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. Overview In this dataset, ~22'000 human annotations were collected to evaluate AI-generated videos (using Sora) in 5 different categories. Prompt - Video… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-Rich-Human-Feedback.imagevideo-classificationn<1K13 likes57 downloads2y agoHugging Face18nusdufv /text-2-video-human-preferences-motion Human Preferences for AI-Generated Video: Motion Quality 29,283 pairwise human preference labels comparing 4 frontier video generation models on human motion across 3 quality dimensions, collected from 4,349 real annotators via Datapoint AI. This is the largest publicly available human preference dataset focused specifically on human motion in AI-generated video. Why This Dataset Video generation models are improving fast, but evaluating human motion remains… See the full description on the dataset page: https://huggingface.co/datasets/nusdufv/text-2-video-human-preferences-motion.imagevideo-classificationn<1K0 likes34 downloads6mo agoHugging Face19datapointai /text-2-video-human-preferences-motiongated Human Preferences for AI-Generated Video: Motion Quality 29,283 pairwise human preference labels comparing 4 frontier video generation models on human motion across 3 quality dimensions, collected from 4,349 real annotators via Datapoint AI. This is the largest publicly available human preference dataset focused specifically on human motion in AI-generated video. Why This Dataset Video generation models are improving fast, but evaluating human motion remains… See the full description on the dataset page: https://huggingface.co/datasets/datapointai/text-2-video-human-preferences-motion.imagevideo-classificationn<1K15 likes33 downloads6mo agoHugging Face20yangge10 /text-2-video-human-preferences Rapidata Video Generation Preference Dataset This dataset was collected in ~12 hours using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. The data collected in this dataset informs our text-2-video model benchmark. We just started so currently only two models are represented in this set: Sora Hunyouan Pika 2.0 Runway ML Alpha Luma Ray 2 Explore our latest model rankings on our website. If you get value from this dataset and would… See the full description on the dataset page: https://huggingface.co/datasets/yangge10/text-2-video-human-preferences.imagetext-to-video1K<n<10K0 likes24 downloads4mo agoHugging Face21eagle0504 /llava-video-text-dataset eagle0504/llava-video-text-dataset This is a tiny LLaVA dataset with exactly four video samples for training. Field video_url: Video URLs (MP4/GIF format) Field conversation: LLaVA conversation format with user/assistant roles Field num_frames: Number of frames per video (5) Dataset Structure Each sample contains a conversation in LLaVA format: { "video_url": "https://example.com/video.mp4", "conversation": [ { "role": "user", "content": [… See the full description on the dataset page: https://huggingface.co/datasets/eagle0504/llava-video-text-dataset.imagen<1K0 likes20 downloads11mo agoHugging Face

Listings come live from the Hugging Face Hub API. CoolFace does not host these files.