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+*.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
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+*.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
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# 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

README.md

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+---
+pretty_name: TextureCan Textures
+size_categories:
+- 1K<n<10K
+task_categories:
+- image-classification
+- image-to-text
+- text-to-image
+- image-to-image
+annotations_creators:
+- found
+language:
+- en
+multilinguality:
+- monolingual
+source_datasets:
+- original
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: metadata.jsonl.zst
+  default: true
+tags:
+- image
+license: cc0-1.0
+---
+# Dataset Card for TextureCan Textures
+
+## Dataset Summary
+
+This dataset contains 4,037 texture images from texturecan.com. It includes textures of various materials such as brick, paper, fabric, metal, wood, stone, and other surfaces. The original archives were downloaded, unpacked, and images were compressed using PNG optimization and JPEG quality compression (90%) to reduce file size while maintaining good quality.
+
+## Languages
+
+The dataset is monolingual:
+- English (en): Texture titles, descriptions, and tags are in English.
+
+## Dataset Structure
+
+### Data Fields
+
+Each texture in the dataset is accompanied by a JSON metadata file containing the following fields:
+- `id`: String containing the unique identifier (UUID) for the texture
+- `title`: String containing the full title of the texture
+- `description`: String providing detailed description of the texture's appearance and suggested use cases
+- `tags`: Array of strings representing material types, colors, descriptive terms, and technical specifications associated with the texture
+- `texture_set`: String indicating which original texture collection the image belongs to
+- `original_name`: String preserving the original filename from the source
+
+### Data Splits
+
+The dataset contains a single split:
+
+| Split | Number of Examples |
+|-------|-------------------|
+| `train` | 4,037 |
+
+Total dataset size: 4,037 entries
+
+### Data Format
+
+- Images are stored in compressed format at high resolution
+- Dataset is distributed across 3 tar files with approximately 1,346 images each
+- Each texture has two files: image and metadata file (e.g., `a1b2c3d4-e5f6-7890-abcd-ef1234567890.jpg` and `a1b2c3d4-e5f6-7890-abcd-ef1234567890.json`)
+- Individual JSON files contain title, description, tags, and additional metadata for the corresponding image
+- `metadata.jsonl.zst` contains complete metadata with additional information including download URLs for all textures
+
+## License Information
+
+### Licensing Structure
+
+All images in this dataset are distributed under the Creative Commons Zero (CC0) license, which effectively places them in the public domain. This means:
+- No attribution is required for use
+- Images can be used for both personal and commercial purposes
+- Images can be modified and redistributed without restrictions
+- No royalties or payments are required for any use
+
+### CC0 License Details
+
+The Creative Commons Zero (CC0) license waives all copyright and related rights to the work worldwide. Users can copy, modify, distribute, and perform the work, even for commercial purposes, without asking permission.
+
+For detailed information about the CC0 license, please refer to: https://creativecommons.org/publicdomain/zero/1.0/

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metadata.jsonl.zst

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