Update README.md

README.md

@@ -12,7 +12,7 @@ size_categories:
 
 <!-- Provide a quick summary of the dataset. -->
 
-This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
+MetaFold Dataset is a point-cloud trajectory dataset designed for multi-category garment folding tasks in robotic manipulation.
 
 ## Dataset Details
 
@@ -20,128 +20,160 @@ This dataset card aims to be a base template for new datasets. It has been gener
 
 <!-- Provide a longer summary of what this dataset is. -->
 
-
-
-- **Curated by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
+- **Curated by:** Haonan Chen, Junxiao Li, Ruihai Wu, Yiwei Liu, Yiwen Hou, Zhixuan Xu, Jingxiang Guo, Chongkai Gao, Zhenyu Wei, Shensi Xu, Jiaqi Huang, Lin Shao
+- **License:** CC BY-NC-ND 4.0
 
 ### Dataset Sources [optional]
 
 <!-- Provide the basic links for the dataset. -->
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the dataset is intended to be used. -->
-
-### Direct Use
-
-<!-- This section describes suitable use cases for the dataset. -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
+- **Repository:** [https://huggingface.co/datasets/chenhn02/MetaFold](https://huggingface.co/datasets/chenhn02/MetaFold)
+- **Paper:** [MetaFold: Language-Guided Multi-Category Garment Folding Framework via Trajectory Generation and Foundation Model](https://arxiv.org/pdf/2503.08372)
+- **Website:** [https://meta-fold.github.io/](https://meta-fold.github.io/)
 
-[More Information Needed]
 
 ## Dataset Structure
 
 <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
 
-[More Information Needed]
-
-## Dataset Creation
-
-### Curation Rationale
-
-<!-- Motivation for the creation of this dataset. -->
-
-[More Information Needed]
-
-### Source Data
+The dataset categories is inherited from [ClothesNet](https://arxiv.org/pdf/2308.09987). Each garment category has a corresponding name (e.g., **DLG** stands for *Dress-Long-Gallus*).
+
+### Four Folding Types in MetaFold
+
+1. **No-Sleeve Folding**  
+   - Categories:  
+     - DLG (Dress-Long-Gallus)  
+     - DLNS (Dress-Long-NoSleeve)  
+     - DLT (Dress-Long-Tanktop)  
+     - DSNS (Dress-Short-NoSleeve)  
+     - SL (Shirt-Long)  
+     - SS (Shirt-Short)  
+     - TCNC (Top-Collar-No-Collar)  
+     - TCNO (Top-Collar-No-Overlap)  
+     - THNC (Top-Hood-No-Collar)  
+     - TNNC (Top-NoCollar-NoClose)  
+   - Total garments: **666**  
+   - Folding procedure: Single step (fold from bottom to top).
+
+2. **Short-Sleeve Folding**  
+   - Categories:  
+     - DLSS (Dress-Long-ShortSleeve)  
+     - DSSS (Dress-Short-ShortSleeve)  
+     - TNSC (Top-NoCollar-ShortSleeve-Close)  
+     - TCSC (Top-Collar-ShortSleeve-Close)  
+   - Total garments: **121**  
+   - Folding procedure (3 steps):  
+     1. Fold the left sleeve.  
+     2. Fold the right sleeve.  
+     3. Fold from the bottom hem upward.
+
+3. **Long-Sleeve Folding**  
+   - Categories:  
+     - DLLS (Dress-Long-LongSleeve)  
+     - DSLS (Dress-Short-LongSleeve)  
+     - TCLC (Top-Collar-LongSleeve-Close)  
+     - TCLO (Top-Collar-LongSleeve-Open)  
+     - THLC (Top-Hood-LongSleeve-Close)  
+     - THLO (Top-Hood-LongSleeve-Open)  
+     - TNLC (Top-NoCollar-LongSleeve-Close)  
+   - Total garments: **146**  
+   - Folding procedure (3 steps):  
+     1. Fold the left sleeve.  
+     2. Fold the right sleeve.  
+     3. Fold from the bottom hem upward.
+
+4. **Pants Folding**  
+   - Categories:  
+     - PS (Pants-Short)  
+     - PL (Pants-Long)  
+   - Total garments: **277**  
+   - Folding procedure (2 steps):  
+     1. Fold the left pant leg over the right pant leg.  
+     2. Fold from the waistband down toward the pant legs.
 
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
+---
 
-#### Data Collection and Processing
+### Total Counts
 
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
+- **No-Sleeve:** 666 garments  
+- **Short-Sleeve:** 121 garments  
+- **Long-Sleeve:** 146 garments  
+- **Pants:** 277 garments  
+- **Overall Total:** 1,210 garments
 
-[More Information Needed]
-
-#### Who are the source data producers?
+---
 
-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
+### Filename Convention
 
-[More Information Needed]
+Each data file follows the pattern:  `<Category>_<GarmentName>_<Foldstage>`
 
-### Annotations [optional]
+- **Category**: Garment category code (e.g., `DLG` = Dress-Long-Gallus).  
+- **GarmentName**: Unique identifier for the specific garment model (e.g., `Dress032_1`, `010`).  
+- **FoldStep**: Zero-based index indicating which folding step (e.g., `action0`, `action1`, …).
 
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
+### Examples
 
-#### Annotation process
+1. **`DLG_Dress032_1_action0`**  
+   - **Category:** `DLG` (Dress-Long-Gallus → No-Sleeve)  
+   - **GarmentName:** `Dress032_1`  
+   - **FoldStep:** `action0` (since No-Sleeve has only one step: fold from bottom to top)  
+   - **Link:** [DLG_Dress032_1_action0](https://huggingface.co/datasets/chenhn02/MetaFold/tree/main/DLG/DLG_Dress032_1_action0)
 
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
+2. **`TNLC_010_action1`**  
+   - **Category:** `TNLC` (Tops-NoCollar-LongSleeve-Close → Long-Sleeve)  
+   - **GarmentName:** `010`  
+   - **FoldStep:** `action1` (second step: fold the right sleeve)  
+   - **Link:** [TNLC_010_action1](https://huggingface.co/datasets/chenhn02/MetaFold/tree/main/TNLC/TNLC_010_action1)
 
-[More Information Needed]
+---
 
-#### Who are the annotators?
+### Directory Content
 
-<!-- This section describes the people or systems who created the annotations. -->
+Each Folding Trajectory directory contains:
+- Mesh files from `frame_00.obj` to `frame_20.obj`.  
+- `initial.obj` is identical to `frame_00.obj`.
+- `keypoints_idx.npy` (specifies the folding start and end points for each step: `[start_0, end_0, start_1, end_1]`).
 
-[More Information Needed]
+If you need the point cloud, simply extract the vertex coordinates from the mesh files.
 
-#### Personal and Sensitive Information
+## Dataset Creation
 
-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
+### Curation Rationale
 
-[More Information Needed]
+<!-- Motivation for the creation of this dataset. -->
 
-## Bias, Risks, and Limitations
+Current garment‐folding datasets are very limited, and there is a lack of data in the deformable‐object manipulation domain. To bridge this gap and benefit the entire embodied‐intelligence community, we hereby release the dataset constructed in this work.
 
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
 
-[More Information Needed]
+#### Data Collection and Processing
 
-### Recommendations
+<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
 
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+We use data from [ClothesNet](https://arxiv.org/pdf/2308.09987) and employ DiffClothAI as the simulator. We heuristically specify the folding start and end points, then simulate the folding process within the simulator. For the detailed procedure, please refer to our paper [MetaFold](https://arxiv.org/pdf/2503.08372). The specific keypoints we designated are stored in each trajectory directory under `keypoints_idx.npy`.
 
-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
 
-## Citation [optional]
+## Citation
 
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
 
 **BibTeX:**
 
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
-
-[More Information Needed]
-
-## More Information [optional]
+@misc{chen2025metafoldlanguageguidedmulticategorygarment,
+  title={MetaFold: Language-Guided Multi-Category Garment Folding Framework via Trajectory Generation and Foundation Model}, 
+  author={Haonan Chen and Junxiao Li and Ruihai Wu and Yiwei Liu and Yiwen Hou and Zhixuan Xu and Jingxiang Guo and Chongkai Gao and Zhenyu Wei and Shensi Xu and Jiaqi Huang and Lin Shao},
+  year={2025},
+  eprint={2503.08372},
+  archivePrefix={arXiv},
+  primaryClass={cs.RO},
+  url={https://arxiv.org/abs/2503.08372}, 
+}
 
-[More Information Needed]
+<!-- **APA:**
 
-## Dataset Card Authors [optional]
+[More Information Needed] -->
 
-[More Information Needed]
 
 ## Dataset Card Contact
 
-[More Information Needed]
+First Author: [Haonan Chen](mailto:chenhaonan@u.nus.edu) 
+Corresponding Author: [Lin Shao](mailto:linshao@nus.edu.sg)