Update dataset card for DMSP

README.md

@@ -1,3 +1,69 @@
----
-license: cc
----
+---
+license: cc-by-nc-4.0
+task_categories:
+- other
+tags:
+- multimodal
+- personality-understanding
+- mbti
+- fairness
+---
+
+# DMSP — Dataset for Multimodal Personality Research
+
+The **DMSP** (Demographic-annotated Multimodal Student Personality) dataset is a resource designed to address the challenges in personality detection from multimodal content, particularly focusing on the **Myers-Briggs Type Indicator (MBTI)** and **fairness evaluation**. 
+
+Unlike existing datasets that rely heavily on text-only inputs, DMSP integrates **Visual, Audio, and Textual modalities**. By incorporating fairness attributes (Gender, Age, Race) and continuous soft labels, this dataset offers a more accurate reflection of how personality traits manifest in real-world scenarios.
+
+- **Paper**: [Debiased Multimodal Personality Understanding through Dual Causal Intervention](https://huggingface.co/papers/2605.06371)
+- **GitHub Repository**: [Sabrina-han/DCAN](https://github.com/Sabrina-han/DCAN)
+
+## Key Features
+* **Multimodal Integration**: Leverages CLIP (Visual), Wav2Clip (Audio), and CLIP Sentence Embeddings (Text) for robust feature representation.
+* **Fairness-Oriented**: Includes demographic annotations (Gender, Age, Race) to facilitate fairness analysis and bias mitigation in AI models.
+* **Soft Labeling**: Utilizes continuous scores for the 4 MBTI dimensions (E/I, N/S, F/T, J/P), moving beyond the limitations of hard binary classifications.
+
+## Dataset Structure
+
+```text
+DMSP/
+├── train.csv                 # Training labels and metadata
+├── test.csv                  # Test labels and metadata
+├── train_clipimage.pkl       # Visual features for training set (CLIP ViT-B/32)
+├── test_clipimage.pkl        # Visual features for test set
+├── train_audio_wav2clip.pkl  # Audio features for training set (Wav2Clip)
+├── test_audio_wav2clip.pkl   # Audio features for test set
+├── train_clipsentence.pkl    # Text features for training set (CLIP Sentence)
+└── test_clipsentence.pkl     # Text features for test set
+```
+
+## Sample Usage
+
+You can load the dataset using the following snippet found in the official repository:
+
+```python
+from train_FMPD_MBTI_baseline_fixed import DMSPDataset
+
+train_ds = DMSPDataset(
+    csv_file='DMSP/train.csv',
+    data_dir='DMSP',
+    split='train'
+)
+
+sample = train_ds[0]
+print(sample.keys())
+# Output: ['vid', 'mbti', 'demo', 'visual', 'audio', 'text']
+```
+
+## Citation
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@article{han2024debiased,
+  title={Debiased Multimodal Personality Understanding through Dual Causal Intervention},
+  author={Li, Han and others},
+  journal={arXiv preprint arXiv:2605.06371},
+  year={2024}
+}
+```