Initialize deduplicated Gelbooru2026 release

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README.md

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+---
+license: mit
+task_categories:
+- image-classification
+- image-to-image
+- text-to-image
+language:
+- en
+- ja
+tags:
+- anime
+- gelbooru
+- booru
+- art
+- webp
+- deduplicated
+pretty_name: Gelbooru2026
+size_categories:
+- 1M<n<10M
+viewer: false
+---
+
+# Gelbooru2026: A Deduplicated Anime Illustration Dataset
+
+## Dataset Description
+
+Gelbooru2026 is a large-scale, community-tagged anime illustration dataset for
+research and development in image generation, image classification, multimodal
+learning, and related tasks.
+
+This release contains **3,784,478 static images** distributed across 1,000 tar
+shards. It was frozen in August 2026 and was processed using the same image
+release format as
+[Danbooru2026](https://huggingface.co/datasets/nyanko-devs/danbooru2026).
+
+**Key specifications:**
+
+* **Shared by:** Nyanko Devs
+* **Source:** Gelbooru community
+* **Language(s):** English, Japanese, mixed
+* **Dataset license:** MIT; original images retain their respective copyrights
+* **Image format:** WebP, quality 95, method 6
+* **Image count:** 3,784,478
+* **Shards:** 1,000 deterministic tar files
+
+The dataset may contain adult or otherwise sensitive material. Users are
+responsible for applying filtering appropriate to their use case.
+
+## Deduplication Against Danbooru2026
+
+This release is content-deduplicated against the released
+[Danbooru2026](https://huggingface.co/datasets/nyanko-devs/danbooru2026)
+dataset. Deduplication used two exact-content stages:
+
+1. **9,950,543** Gelbooru candidates were excluded by matching their original
+   file MD5 against a released Danbooru2026 image.
+2. **25,474** additional candidates were excluded by matching the processed
+   WebP SHA-256 against a released Danbooru2026 WebP.
+
+In total, **9,976,017** candidates were removed by cross-dataset
+deduplication. The final validation found **zero known processed SHA-256
+intersections** with the released Danbooru2026 images.
+
+This is exact byte/content deduplication, not perceptual or semantic
+deduplication. Near-duplicates, crops, edits, recompressions, and visually
+similar images can therefore remain.
+
+## Image Processing
+
+Gelbooru2026 contains static images only. Animations, videos, corrupted files,
+unsupported media, and source rows that could not be safely resolved are not
+included in the image tars.
+
+All included images are:
+
+* fully decoded from audited source bytes and encoded as WebP at quality 95;
+* resized only when necessary to a maximum of 4,000,000 pixels while
+  preserving aspect ratio;
+* never upscaled;
+* stored with alpha transparency preserved when present.
+
+## Dataset Structure and Format
+
+Images are distributed across 1,000 zero-padded buckets named `0000` through
+`0999`. The bucket for an image is determined by its Gelbooru post ID modulo
+1,000:
+
+```bash
+BUCKET=$(printf "%04d" $((ID % 1000)))
+```
+
+The tar shard and member path are:
+
+```text
+original/data-$BUCKET.tar
+$BUCKET/$ID.webp
+```
+
+For example, image ID `210001` is stored in:
+
+```text
+original/data-0001.tar
+0001/210001.webp
+```
+
+### File Tree
+
+```text
+/
+├── README.md
+├── metadata/
+│   └── posts.parquet
+└── original/
+    ├── data-0000.tar
+    ├── data-0001.tar
+    └── ... (through data-0999.tar)
+```
+
+`metadata/posts.parquet` contains the original metadata fields plus the
+release fields `bucket`, `path`, `width`, `height`, `file_size`, `sha256`,
+`has_alpha`, `resized`, and `source_file_size`. Each metadata row corresponds
+to exactly one released WebP member.
+
+### Minimal Access Example
+
+```python
+import io
+import tarfile
+
+import requests
+from PIL import Image
+
+url = (
+    "https://huggingface.co/datasets/nyanko-devs/gelbooru2026/"
+    "resolve/main/original/data-0001.tar"
+)
+response = requests.get(url, timeout=120)
+response.raise_for_status()
+
+with tarfile.open(fileobj=io.BytesIO(response.content), mode="r:") as archive:
+    member = archive.getmember("0001/210001.webp")
+    with archive.extractfile(member) as handle:
+        image = Image.open(handle)
+        image.load()
+```
+
+For bulk training, stream or download shards rather than loading an entire tar
+into memory as in this small example.
+
+## Notes
+
+The processed release does not preserve original source encodings. Use the
+metadata `sha256` field to verify a released WebP member and `file_size` to
+verify its length. Exact cross-dataset deduplication applies to this frozen
+release and the frozen Danbooru2026 release used during construction.

metadata/posts.parquet

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