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README.md

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+# Dataset Card for DuoduoCLIP
+
+In this data repo we provide the data used in the paper **Duoduo CLIP: Efficient 3D Understanding with Multi-View Images.**
+The data usage and code can be found in the [github repo](https://github.com/3dlg-hcvc/DuoduoCLIP).
+
+***Note: We provide the lvis evaluation data in the initial release, we will soon upload the data and process scripts required for training.***
+
+## Dataset Details
+
+### Dataset Sources
+
+Multi-view images of 3D objects were used in training our models.
+A majority of the Objaverse renderings come from the Zero123 paper (MIT license) listed below.
+The initial release with LVIS images in 3dlg-hcvc/DuoduoCLIP-data/lvis_split are also mostly from Zero123 with some preprocessing.
+Note we provide this for ease of evaluation.
+For the other releases we will provide the dataset preprocessing scripts instead and point users towards their download link.
+For objects not rendered by Zero123 and the other 3 datasets (ABO, ShapeNet and 3D-FUTURE) we render using Zero123's blender script.
+We thank the authors for providing their dataset and code!
+
+1. Zero123
+
+- **Repository:** https://github.com/cvlab-columbia/zero123
+- **Paper:** https://arxiv.org/abs/2303.11328
+
+2. Objaverse
+
+- **Repository:** https://github.com/allenai/objaverse-xl
+- **Paper:** https://arxiv.org/abs/2212.08051
+
+3. ABO
+
+- **Repository:** https://github.com/jazcollins/amazon-berkeley-objects
+- **Paper:** https://arxiv.org/abs/2110.06199
+
+4. ShapeNet
+
+- **Repository:** https://huggingface.co/ShapeNet
+- **Paper:** https://arxiv.org/abs/1512.03012
+
+5. 3D-FUTURE
+
+- **Website:** https://tianchi.aliyun.com/specials/promotion/alibaba-3d-future
+- **Paper:** https://arxiv.org/abs/2009.09633
+
+### Embeddings from our Models
+
+We will also provide objaverse embeddings produced by our released models in this repo.
+In the initital release we provide the objaverse embeddings produced by our **Four_1to6F_bs1600_LT6** model.
+Please see the [model card](https://huggingface.co/3dlg-hcvc/DuoduoCLIP) for more details and [github repo](https://github.com/3dlg-hcvc/DuoduoCLIP) for usage.