{
 "id": "deepghs/csip_v1",
 "owner": "deepghs",
 "name": "csip_v1",
 "downloads": 108,
 "likes": 1,
 "last_modified": "2025-11-17T18:39:03.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "zero-shot-image-classification"
 ],
 "citation": "@misc{csip_v1,\n  title        = {CSIP v1: Contrastive Anime Style Image Pre-training Dataset},\n  author       = {deepghs},\n  howpublished = {\\url{https://huggingface.co/datasets/deepghs/csip_v1}},\n  year         = {2023},\n  note         = {Roughly cleaned version of anime style images for zero-shot classification},\n  abstract     = {The CSIP v1 dataset represents a roughly cleaned version of the Contrastive anime Style Image Pre-training collection, specifically designed for zero-shot image classification tasks in the anime art domain. This comprehensive dataset contains diverse images from various anime artists, organized to facilitate style recognition and classification models. The dataset has been processed through initial cleaning procedures to remove obvious duplicates and low-quality samples while preserving the rich stylistic diversity that characterizes different anime creators.},\n  keywords     = {anime, style-classification, zero-shot-learning, computer-vision}\n}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "9b052ac0bcf1e3c08a659e99595d075778b442e9",
 "stated_evidence": "https://huggingface.co/datasets/deepghs/csip_v1/blob/9b052ac0bcf1e3c08a659e99595d075778b442e9/README.md",
 "file_evidence": "https://huggingface.co/datasets/deepghs/csip_v1/tree/9b052ac0bcf1e3c08a659e99595d075778b442e9",
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}