Upload README.md

README.md

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+---
+license: cc-by-4.0
+task_categories:
+- image-segmentation
+- depth-estimation
+- video-classification
+tags:
+- mannequin-challenge
+- splannequin
+- derived-dataset
+- 3d-gaussian-splatting
+source_datasets:
+- google/mannequinchallenge
+---
+
+# Splannequin Dataset
+
+This dataset is a derivative work based on the **Google Mannequin Challenge** dataset. It has been processed and adapted for 3D Gaussian Splatting research on monocular mannequin challenge videos.
+
+## Dataset Description
+
+The Splannequin dataset contains processed video sequences from frozen scenes, optimized for monocular depth estimation and 3D reconstruction tasks. Each sample includes frames extracted from the original Mannequin Challenge videos with additional preprocessing for splatting-based methods.
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+data = load_dataset("chien90190/Splannequin")
+```
+
+## Attribution & License
+
+This dataset is derived from the [MannequinChallenge dataset](https://google.github.io/mannequinchallenge/) and is licensed under **Creative Commons Attribution 4.0 International (CC BY 4.0)**.
+
+### Citation
+
+If you use this dataset in your research, please cite both the original Mannequin Challenge work and this derived dataset:
+
+**Original Mannequin Challenge Dataset:**
+```bibtex
+@inproceedings{li2019learning,
+  title={Learning the Depths of Moving People by Watching Frozen People},
+  author={Li, Zhengqi and Dekel, Tali and Cole, Forrester and Tucker, Richard and Snavely, Noah and Liu, Ce and Freeman, William T},
+  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
+  year={2019}
+}
+```
+
+**Splannequin Dataset:**
+```bibtex
+@misc{splannequin2025,
+  title={Splannequin Dataset},
+  author={Your Name},
+  year={2025},
+  howpublished={\url{https://huggingface.co/datasets/chien90190/Splannequin}}
+}
+```
+
+## Contact
+
+For questions or issues regarding this dataset, please open an issue on the dataset repository page.