Improve dataset card: Add metadata, paper, and project page links

README.md

@@ -1,6 +1,40 @@
 ---
 license: mit
+task_categories:
+  - image-to-image
+library_name:
+  - datasets
+tags:
+  - point-tracking
+  - optical-flow
+  - video
+  - dense-correspondence
 ---
-This repo contains the data we produced/postprocessed as part of **AllTracker: Efficient Dense Point Tracking at High Resolution**. 
 
-This data is used by the training scripts in our [github repo](https://github.com/aharley/alltracker/), and leads to the models in our [model page](https://huggingface.co/aharley/alltracker), which you can test in our [Gradio demo](https://huggingface.co/spaces/aharley/alltracker). 
+# AllTracker: Efficient Dense Point Tracking Dataset
+
+This repository contains the data produced/postprocessed as part of [**AllTracker: Efficient Dense Point Tracking at High Resolution**](https://huggingface.co/papers/2506.07310).
+
+AllTracker is a model that estimates long-range point tracks by estimating the flow field between a query frame and every other frame of a video. This dataset supports the training and evaluation of such models, providing high-resolution and dense correspondence fields.
+
+**Project Page:** [https://alltracker.github.io](https://alltracker.github.io)
+**GitHub Repository (Code):** [https://github.com/aharley/alltracker/](https://github.com/aharley/alltracker/)
+**Hugging Face Model Page:** [https://huggingface.co/aharley/alltracker](https://huggingface.co/aharley/alltracker)
+**Gradio Demo:** [https://huggingface.co/spaces/aharley/alltracker](https://huggingface.co/spaces/aharley/alltracker)
+
+## Dataset Usage and Preparation
+
+This data is used by the training scripts in the associated [GitHub repository](https://github.com/aharley/alltracker/). For detailed instructions on how to download, prepare, and use this dataset for training, please refer to the [**"Data prep" section in the GitHub repository's README**](https://github.com/aharley/alltracker/#data-prep).
+
+## Citation
+
+If you use this dataset or the associated code for your research, please cite the paper:
+
+```bibtex
+@inproceedings{harley2025alltracker,
+author    = {Adam W. Harley and Yang You and Xinglong Sun and Yang Zheng and Nikhil Raghuraman and Yunqi Gu and Sheldon Liang and Wen-Hsuan Chu and Achal Dave and Pavel Tokmakov and Suya You and Rares Ambrus and Katerina Fragkiadaki and Leonidas J. Guibas},
+title     = {All{T}racker: {E}fficient Dense Point Tracking at High Resolution},
+booktitle = {ICCV},
+year      = {2025}
+}
+```