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README.md

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+---
+license: mit
+pretty_name: 404-GEN Mini 3D
+task_categories:
+- text-to-3d
+language:
+- en
+tags:
+- synthetic
+- art
+size_categories:
+- 10K<n<100K
+---
+
+# 404-GEN Mini 3D
+
+This dataset contains over 20,000 3D assets generated with text prompts using 3D Gaussian Splatting, designed for text-to-3D generation tasks. This is a sample of a much larger dataset comprised of 21.5M assets and 40TB in size, available by request at https://dataset.404.xyz
+
+## Dataset Description
+
+### Dataset Summary
+
+404-GEN Mini 3D is a collection of over 20,000 3D assets generated from text prompts on Bittensor Subnet 17, providing mid- and high-quality 3D assets for text-to-3D generation models. The dataset includes .ply.spz files and corresponding .png renders for a variety of objects, creatures, and characters described through natural language.
+
+### Languages
+
+The dataset uses English for all text prompts.
+
+## Dataset Structure
+
+### Data Instances
+
+Each instance in the dataset consists of:
+- A text prompt describing the 3D object
+- A compressed .ply in the form of .ply.spz file containing the 3D model data
+- A PNG render of the 3D model
+
+### Data Fields
+
+- `prompt`: Text description used to generate the 3D model
+- `ply`: 3D model file in PLY format (with SPZ compression). For decompression, see Usage Instructions
+- `png`: 2D render of the 3D model
+
+### Data Splits
+
+The dataset consists of a single train split.
+
+## Usage Instructions
+
+### Decompressing .ply.spz Files
+
+The 3D assets in this dataset are stored in a compressed format (.ply.spz). There are two ways to decompress these files:
+
+1. **Web Frontend**: We provide a web-based viewer at https://spz.404.xyz where you can upload and view the compressed files directly.
+
+2. **Local Decompression**: You can decompress the files locally using our code available on GitHub at https://github.com/404-repo/spz
+
+## Additional Information
+
+### Licensing Information
+
+This dataset is released under the MIT License.
+
+### Citation Information
+
+If you use this dataset in your research, please cite:
+
+`@dataset{404_gen_mini_3d,\
+  author       = {404-GEN},\
+  title        = {404-GEN Mini 3D},\
+  year         = {2025},\
+  publisher    = {Hugging Face},\
+  howpublished = {\url{https://huggingface.co/datasets/404-Gen/404-gen-mini-3d}}
+}`
+
+### Contributions
+
+This dataset was created to support research and development in text-to-3D generation. Contributions to expand or improve the dataset are welcome through pull requests.
+
+## Dataset Creation
+
+### Curation Rationale
+
+This dataset was curated to provide diverse examples of text-prompted 3D models for training and evaluating text-to-3D generation systems.
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+The data was collected by generating 3D models from text prompts on Bittensor Subnet 17 using a variety of open-source 3D generative AI models.
+
+### Annotations
+
+The dataset does not include additional annotations beyond the original text prompts.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+This dataset aims to advance the field of text-to-3D generation, enabling more accessible creation of 3D content for various applications including education, design, gaming, and entertainment.
+
+### Discussion of Biases
+
+The dataset may reflect biases present in the text-to-3D generation models used to create the assets, as well as potential biases in the selection of prompts.
+
+### Other Known Limitations
+
+Due to the decentralized architecture of Bittensor, the network on which the dataset was generated, information about the model and specifications used to generate each asset is unavailable.
+
+## Additional Information
+
+### Dataset Curators
+
+404-GEN
+
+### Maintenance Status
+
+No maintenance planned, however a new version may be released when advances are made in open-source 3D generative AI.
+
+### Version and Updates
+
+- v1.0.0: Initial release (April 2025)
+- Complete dataset of 21.5M assets, 40TB of size available by request at https://dataset.404.xyz