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README.md

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+# Objectron Videos Mirror
+
+This repository is a videos-only mirror of the official Objectron dataset, prepared for hosting on Hugging Face.
+
+Official source repository:
+- https://github.com/google-research-datasets/Objectron
+
+## Purpose
+
+- Provide a clean and upload-friendly copy of Objectron video files.
+- Keep directory layout aligned with official dataset conventions.
+- Simplify distribution for downstream training and research workflows.
+
+## What Is Included
+
+This mirror currently contains only video files.
+
+Included:
+- `videos/<class>/batch-<i>/<j>/<video>.MOV`
+
+Not included in this mirror:
+- annotation protobufs (for example `geometry.pbdata`)
+- AR metadata protobufs
+- tf.records / sequence examples
+- index files and train/test split files
+- parsing/evaluation scripts
+
+For full dataset assets and tooling, use the official repository and storage paths.
+
+## Directory Layout
+
+The video files follow the official Objectron layout pattern:
+
+- `videos/class/batch-i/j/video.MOV`
+
+Current class folders may include:
+- `bike`
+- `book`
+- `bottle`
+- `camera`
+- `cereal_box`
+- `chair`
+- `cup`
+- `laptop`
+- `shoe`
+
+## License
+
+This repository follows the official Objectron licensing terms.
+
+Objectron is released under:
+- Computational Use of Data Agreement 1.0 (C-UDA-1.0)
+- https://github.com/microsoft/Computational-Use-of-Data-Agreement
+
+A copy of the license is included in [LICENSE](LICENSE).
+
+## Attribution
+
+If you use Objectron data, please cite the official Objectron paper and follow attribution guidance from the official repository:
+- https://github.com/google-research-datasets/Objectron
+
+## Acknowledgment
+
+We thank the Objectron team and the official maintainers for providing this dataset and related resources. These contributions were instrumental in the successful completion of our work: [ConsID-Gen](https://mingyang.me/ConsID-Gen/).
+
+Objectron is a large-scale, object-centric video dataset with pose annotations and has made important contributions to 3D understanding and related vision research.
+
+This repository is only a videos-only mirror for easier access and distribution.
+
+## Disclaimer
+
+- This repository is not an official Google release.
+- We cannot guarantee that the number of videos in this mirror exactly matches the counts reported in the original Objectron paper or official storage.
+- The contents here only include video files available from our local download process.
+
+## Citation
+
+If you found the original Objectron dataset useful, please cite the official paper.
+
+```bibtex
+@article{objectron2021,
+	title={Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations},
+	author={Adel Ahmadyan, Liangkai Zhang, Artsiom Ablavatski, Jianing Wei, Matthias Grundmann},
+	journal={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
+	year={2021}
+}
+```
+
+This is not an officially supported Google product. If you have any question, you can email us at objectron@google.com or join our mailing list at objectron@googlegroups.com.
+
+```bibtex
+@misc{wu2026considgenviewconsistentidentitypreservingimagetovideo,
+	title={ConsID-Gen: View-Consistent and Identity-Preserving Image-to-Video Generation}, 
+	author={Mingyang Wu and Ashirbad Mishra and Soumik Dey and Shuo Xing and Naveen Ravipati and Hansi Wu and Binbin Li and Zhengzhong Tu},
+	year={2026},
+	eprint={2602.10113},
+	archivePrefix={arXiv},
+	primaryClass={cs.CV},
+	url={https://arxiv.org/abs/2602.10113},
+}
+```