Add dataset card with paper link, project page, and usage instructions

README.md

@@ -0,0 +1,74 @@
+---
+task_categories:
+- image-to-video
+---
+
+# LongE2V Dataset
+
+This repository contains the preprocessed dataset (including `BS-ERGB`, `ECD`, `MVSEC`, and `HQF` sequences) for **LongE2V**, presented in the paper [LongE2V: Long-Horizon Event-based Video Reconstruction, Prediction, and Frame Interpolation with Video Diffusion Models](https://arxiv.org/abs/2607.08770).
+
+[Project Page](https://cdfan0627.github.io/LongE2V-page/) | [GitHub Repository](https://github.com/cdfan0627/LongE2V) | [Paper](https://arxiv.org/abs/2607.08770)
+
+## Dataset Download
+
+The preprocessed `BS-ERGB`, `ECD`, `MVSEC`, and `HQF` data (images and voxel grids) are released on Hugging Face at `fansam39/LongE2V-data`.
+
+You can download all datasets using the Hugging Face CLI:
+
+```bash
+pip install -U "huggingface_hub[cli]"
+hf download fansam39/LongE2V-data --repo-type dataset --local-dir data
+```
+
+Or download a single dataset only (e.g., ECD):
+
+```bash
+hf download fansam39/LongE2V-data --repo-type dataset --local-dir data --include "ECD/*"
+```
+
+## Expected Data Layout
+
+Once downloaded, organize the `data/` folder as follows:
+
+```text
+data/
+  BS-ERGB/
+    train_set/
+      <sequence>/
+        images/
+        voxels/
+        cogvlm_prompts.txt
+    test_set/
+      <sequence>/
+        images/
+        voxels/
+        voxels_reverse/
+  ECD/
+    <sequence>/
+      images_eval/
+      voxels_eval/
+  MVSEC/
+    <sequence>/
+      images_eval/
+      voxels_eval/
+  HQF/
+    <sequence>/
+      images/
+      voxels/
+      voxels_reverse/
+```
+
+- **Training** needs `images/*.png`, `voxels/*.npz`, and `cogvlm_prompts.txt` for each training sequence.
+- **Reconstruction / prediction** use `ECD`, `MVSEC`, and `HQF`.
+- **Interpolation** uses `BS-ERGB` and `HQF`.
+
+## Citation
+
+```bibtex
+@inproceedings{fan2026longe2v,
+  title     = {LongE2V: Long-Horizon Event-based Video Reconstruction, Prediction, and Frame Interpolation with Video Diffusion Models},
+  author    = {Fan, Cheng-De and Mu, Chun-Wei Tuan and Chang, Chen-Wei and Lin, Chin-Yang and Wu, Kun-Ru and Tseng, Yu-Chee and Liu, Yu-Lun},
+  booktitle = {SIGGRAPH Conference Papers},
+  year      = {2026}
+}
+```