Duplicate from pulnip/ghibli-dataset

Co-authored-by: pulnip <pulnip@users.noreply.huggingface.co>

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
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+*.mds filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
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+*.msgpack filter=lfs diff=lfs merge=lfs -text
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+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
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+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
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+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text

.gitignore

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+# Created by https://www.toptal.com/developers/gitignore/api/python
+# Edit at https://www.toptal.com/developers/gitignore?templates=python
+
+### Python ###
+# Byte-compiled / optimized / DLL files
+__pycache__/
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+MANIFEST
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+cover/
+
+# Translations
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+# Django stuff:
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+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
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+.pdm.toml
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+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
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+# Celery stuff
+celerybeat-schedule
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+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
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+### Python Patch ###
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+
+# ruff
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+
+# LSP config files
+pyrightconfig.json
+
+# End of https://www.toptal.com/developers/gitignore/api/python

LICENSE

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+This dataset includes content under multiple licenses:
+
+- Real images from Nechintosh/ghibli: studio-ghibli-nc-license
+- AI images from:
+  - nitrosocke/Ghibli-Diffusion: CreativeML OpenRAIL-M  
+    Loaded with: torch_dtype=torch.float16
+  - KappaNeuro/studio-ghibli-style: CreativeML OpenRAIL++-M (fine-tuned from SDXL)  
+    Loaded with: torch_dtype=torch.float16, variant="fp16"
+  - Note: While the KappaNeuro repository does not explicitly state a license, it is based on Stability AI's SDXL, which is released under CreativeML Open RAIL++-M. Therefore, it is assumed that this model inherits the same license and non-commercial restrictions.
+
+The combined dataset is provided under the most restrictive condition:  
+**Non-commercial research and educational use only. Commercial use is strictly prohibited.**
+
+For details, please refer to the original model and dataset licenses.

README.md

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+---
+size_categories:
+  - 1K<n<10K
+license: other
+tags:
+- ghibli
+- ai-generated
+- image-classification
+language:
+- en
+pretty_name: Ghibli Real vs AI Dataset
+task_categories:
+- image-classification
+task_ids:
+- multi-class-classification
+splits:
+  - name: train
+    num_examples: 4257
+annotations_creators:
+- machine-generated
+source_datasets:
+  - Nechintosh/ghibli
+  - nitrosocke/Ghibli-Diffusion
+  - KappaNeuro/studio-ghibli-style
+dataset_info:
+  labels:
+  - real
+  - ai
+---
+
+# Ghibli Real vs AI-Generated Dataset
+
+- One sample per line
+- Includes: `id`, `image`, `label`, `description`
+- Use this for standard classification or image-text training
+
+- Real images sourced from [Nechintosh/ghibli](https://huggingface.co/datasets/Nechintosh/ghibli) (810 images)
+- AI-generated images created using:
+  - [nitrosocke/Ghibli-Diffusion](https://huggingface.co/nitrosocke/Ghibli-Diffusion) (2637 images)
+  - [KappaNeuro/studio-ghibli-style](https://huggingface.co/KappaNeuro/studio-ghibli-style) (810 images)
+  - Note: While the KappaNeuro repository does not explicitly state a license, it is a fine-tuned model based on [Stable Diffusion XL](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0), which is distributed under the CreativeML Open RAIL++-M License. Therefore, it is assumed that this model inherits the same license and non-commercial restrictions.
+
+### How to load
+
+```python
+from datasets import load_dataset
+
+samples = load_dataset("pulnip/ghibli-dataset", split="train")
+
+# Convert labels to binary classification: 'real' vs 'ai'
+# Note: The original "label" field contains "real", "nitrosocke", and "KappaNeuro".
+#       You can treat all non-"real" labels as "ai" to use this dataset for binary classification.
+for sample in samples:
+    sample["binary_label"] = "real" if sample["label"] == "real" else "ai"
+```
+
+## License and Usage
+
+This dataset combines data from multiple sources. Please review the licensing conditions carefully.
+
+### Real Images
+- Source: [Nechintosh/ghibli](https://huggingface.co/datasets/Nechintosh/ghibli)
+- License: Not explicitly stated; assumed for **non-commercial research use only**
+
+### AI-Generated Images
+- Source models:
+  - [nitrosocke/Ghibli-Diffusion](https://huggingface.co/nitrosocke/Ghibli-Diffusion)  
+    Loaded with: `torch_dtype=torch.float16`
+  - [KappaNeuro/studio-ghibli-style](https://huggingface.co/KappaNeuro/studio-ghibli-style)  
+    Loaded with: `torch_dtype=torch.float16, variant="fp16"`
+- These models are provided under community licenses that generally restrict usage to **non-commercial and research purposes**.
+
+---
+
+### Summary
+
+This repository is not published under a single license such as MIT.  
+Because the dataset includes content from multiple sources with varying restrictions,  
+**the dataset is licensed under 'other' and should be treated as non-commercial research-use only.**
+
+Users are responsible for reviewing each component’s license terms before redistribution or adaptation.