Improve dataset card: Add task category, correct paper link, add project/code links, usage, and citation

README.md

@@ -1,15 +1,71 @@
 ---
-license: mit
 language:
 - en
+license: mit
+size_categories:
+- n<1K
+pretty_name: Edit3D-Bench
 tags:
 - 3D
 - Editing
-pretty_name: Edit3D-Bench
-size_categories:
-- n<1K
+task_categories:
+- image-to-3d
 ---
 
-This repository contains Edit3D-Bench, a 3D editing benchmark proposed in the paper ["Feedforward 3D Editing via Text-Steerable Image-to-3D"](https://glab-caltech.github.io/steer3d/).
+This repository contains Edit3D-Bench, a 3D editing benchmark proposed in the paper [Feedforward 3D Editing via Text-Steerable Image-to-3D](https://huggingface.co/papers/2512.13678).
+
+Project page: https://glab-caltech.github.io/steer3d/
+Code: https://github.com/ziqi-ma/Steer3D
+
 The `metadata/` directory stores metadata information (the source and target object guid, and editing text) for texture, removal, and addition - each in a separate `.csv` file.
-The `data/` directory contains source images (of unedited object), glbs of both source and target objects, and [TRELLIS](trellis3d.github.io) latents of both source and target objects, each indexed with the object guid.
+The `data/` directory contains source images (of unedited object), glbs of both source and target objects, and [TRELLIS](trellis3d.github.io) latents of both source and target objects, each indexed with the object guid.
+
+### Sample Usage
+
+This dataset is designed to benchmark 3D editing capabilities. To use it for evaluation with the associated [Steer3D codebase](https://github.com/ziqi-ma/Steer3D), follow these steps:
+
+1.  **Clone the dataset:**
+    ```bash
+    git lfs install
+    git clone https://huggingface.co/datasets/ziqima/Edit3D-Bench
+    ```
+
+2.  **Set up the Steer3D environment:**
+    The Steer3D model requires a specific environment. Refer to the [Steer3D GitHub repository](https://github.com/ziqi-ma/Steer3D) for the latest setup instructions. A typical setup involves:
+    ```bash
+    conda env create -f environment.yml
+    conda activate steer3d
+    ```
+    Note that libraries `kaolin`, `nvdiffrast`, `diffoctreerast`, `mip-splatting`, and `vox2seq` might need manual installation. Please refer to [this setup script from TRELLIS](https://github.com/microsoft/TRELLIS/blob/main/setup.sh) for installation of these dependencies.
+
+3.  **Evaluate on the Benchmark (Texture Example):**
+    Once the dataset is cloned and the Steer3D environment is active, you can run evaluation scripts. First, ensure `PYTHONPATH` is set to the path of your Steer3D clone. Then, update the `val_dataset` path in `configs/stage3_controlnet.json` within the Steer3D repository to `[path-to-Edit3D-Bench-clone]/metadata/texture.csv`.
+
+    ```bash
+    python inference/inference_texture.py \
+            --stage1_checkpoint [path-to-checkpoints]/stage1/base.pt \
+            --stage1_config configs/stage1_controlnet.json \
+            --stage2_controlnet_checkpoint [path-to-checkpoints]/stage2/controlnet.pt \
+            --stage2_base_checkpoint [path-to-checkpoints]/stage2/base.pt \
+            --stage2_config configs/stage2_controlnet.json \
+            --output_dir visualizations/output \
+            --num_examples 150 \
+            --num_seeds 3 \
+            --split val
+    ```
+
+### Citation
+
+If you find our work helpful, please cite using the following BibTeX entry:
+
+```bibtex
+@misc{ma2025feedforward3deditingtextsteerable,
+      title={Feedforward 3D Editing via Text-Steerable Image-to-3D}, 
+      author={Ziqi Ma and Hongqiao Chen and Yisong Yue and Georgia Gkioxari},
+      year={2025},
+      eprint={2512.13678},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2512.13678}, 
+}
+```