{
 "id": "deepghs/csip",
 "owner": "deepghs",
 "name": "csip",
 "downloads": 110,
 "likes": 2,
 "last_modified": "2025-11-17T18:38:08.000Z",
 "stated_licence": "openrail",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "zero-shot-classification"
 ],
 "citation": "@misc{csip_dataset,\n  title        = {CSIP (Contrastive Anime Style Image Pre-Training) Dataset},\n  author       = {deepghs},\n  howpublished = {\\url{https://huggingface.co/datasets/deepghs/csip}},\n  year         = {2023},\n  note         = {Uncleaned raw version containing anime artwork from various artists for style classification and artist recognition tasks},\n  abstract     = {The CSIP (Contrastive anime Style Image Pre-Training) dataset is a comprehensive collection of anime-style images designed for style classification and artist recognition tasks. This dataset contains a diverse range of artwork from various anime artists, making it particularly valuable for computer vision applications focused on artistic style analysis and content-based image retrieval. The dataset is organized to facilitate contrastive learning approaches where models can learn to distinguish between different artistic styles and identify characteristic features of individual artists. This version represents the uncleaned raw collection distributed across multiple zip archives.},\n  keywords     = {anime, style-classification, art, computer-vision, contrastive-learning}\n}",
 "signal": "restrictive",
 "reason": "The declared licence (openrail) is classified as having use restrictions.",
 "revision": "851092b15decd845e9aede165001577015827b2b",
 "stated_evidence": "https://huggingface.co/datasets/deepghs/csip/blob/851092b15decd845e9aede165001577015827b2b/README.md",
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}