quc
Datasets
All datasets matching “quc”UCF101-ZIPIntroduction:
The UCF-101 dataset is a widely used benchmark for action recognition in videos. The dataset contains 13,320 videos of 101 action categories, and it was created by collecting YouTube videos and using human annotators to label the action categories. However, the original UCF-101 dataset has certificate issues that may cause difficulties during the download process. Additionally, the dataset is in RAR format, which may not be convenient for some users. Therefore, we have created a… See the full description on the dataset page: https://huggingface.co/datasets/quchenyuan/UCF101-ZIP.360x_dataset_HR
360+x Dataset
For more information, please feel free to check our project page.
Overview
360+x dataset introduces a unique panoptic perspective to scene understanding, differentiating itself from traditional
datasets by offering multiple viewpoints and modalities, captured from a variety of scenes
Key Features:
Multi-viewpoint Captures: Includes 360° panoramic video, third-person front view video, egocentric monocular
video, and egocentric binocular video.… See the full description on the dataset page: https://huggingface.co/datasets/quchenyuan/360x_dataset_HR.360x_dataset_features360x_dataset_LR
360+x Dataset
For more information, please feel free to check our project page.
Overview
360+x dataset introduces a unique panoptic perspective to scene understanding, differentiating itself from traditional
datasets by offering multiple viewpoints and modalities, captured from a variety of scenes
Key Features:
Multi-viewpoint Captures: Includes 360° panoramic video, third-person front view video, egocentric monocular
video, and egocentric binocular video.… See the full description on the dataset page: https://huggingface.co/datasets/quchenyuan/360x_dataset_LR.text-to-art-database
Vieutopia T2A Privacy Train v1
Dataset Summary
Privacy-safe text-to-image dataset repacked into Parquet shards with embedded image bytes.
Scope: text-to-image outputs only
Excluded: image-to-image pipelines (pix2pix_*, pst_*)
Privacy: no raw task UUIDs, no user/device fields
Storage format: parquet shards (image as binary bytes), no image_path dependency
Splits
samples
train: 117572
validation: 6532
test: 6532
total: 130636
iterations… See the full description on the dataset page: https://huggingface.co/datasets/quchenyuan/text-to-art-database.fin-alpaca-deepseek-r1-qwen-7b
Dataset Card for fin-alpaca-deepseek-r1-qwen-7b
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/Qucy/fin-alpaca-deepseek-r1-qwen-7b/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/Qucy/fin-alpaca-deepseek-r1-qwen-7b.