Improve dataset card: Add task category, refine tags, and include sample usage

This PR enhances the dataset card for the DCLM pre-training data used in MoCa models.

It adds the `task_categories: feature-extraction` to the metadata, aligning with the dataset's purpose in creating bidirectional multimodal embeddings.
The `tags` are refined to include `multimodal`, `embeddings`, and `vision-language`, which better describe the dataset's role and improve its discoverability on the Hugging Face Hub.
Additionally, a "Sample Usage" section has been added to guide users on how to use the models trained with this dataset for inference, referencing the associated code repository and its `demo.py` script.

README.md

@@ -1,13 +1,17 @@
 ---
----
-license: cc-by-4.0
 language:
 - en
+license: cc-by-4.0
 size_categories:
 - 10M<n<100M
+task_categories:
+- feature-extraction
 tags:
 - pretraining
 - text
+- multimodal
+- embeddings
+- vision-language
 dataset_info:
   features:
   - name: text
@@ -26,6 +30,7 @@ configs:
   - split: train
     path: data/train-*
 ---
+
 # DCLM used in MoCa Pre-training
 
 [🏠 Homepage](https://haon-chen.github.io/MoCa/) | [💻 Code](https://github.com/haon-chen/MoCa) | [🤖 MoCa-Qwen25VL-7B](https://huggingface.co/moca-embed/MoCa-Qwen25VL-7B) | [🤖 MoCa-Qwen25VL-3B](https://huggingface.co/moca-embed/MoCa-Qwen25VL-3B) | [📚 Datasets](https://huggingface.co/moca-embed/datasets) | [📄 Paper](https://arxiv.org/abs/2506.23115)
@@ -36,7 +41,17 @@ This is a text pre-training dataset used in the modality-aware continual pre-tra
 
 The dataset consists of text examples. `text` is a string containing text while `images` are left blank intentionally since there is no image available.
 
+## Sample Usage
+
+This dataset is used for pre-training MoCa models, which are multimodal embedding models. To use the pre-trained MoCa models for inference (e.g., embedding text and images), you can refer to the associated [code repository](https://github.com/haon-chen/MoCa).
 
+An example script for inference is provided:
+
+```bash
+python demo.py
+```
+
+This script allows you to embed your own text and images.
 
 ## Citation
 MoCa
@@ -60,5 +75,4 @@ DCLM
       eprint={2406.11794},
       archivePrefix={arXiv},
       primaryClass={id='cs.LG' full_name='Machine Learning' is_active=True alt_name=None in_archive='cs' is_general=False description='Papers on all aspects of machine learning research (supervised, unsupervised, reinforcement learning, bandit problems, and so on) including also robustness, explanation, fairness, and methodology. cs.LG is also an appropriate primary category for applications of machine learning methods.'}
-```
-
+```