Update dataset card

README.md

@@ -1,148 +1,132 @@
 ---
-license: cc-by-nc-4.0
-task_categories:
-- video-text-to-text
+pretty_name: CSL-Clinic
 language:
 - zh
 tags:
 - sign-language
+- sign-language-translation
+- sign-language-recognition
+- chinese-sign-language
+- medical
+- healthcare
+- video
+- gloss
 size_categories:
 - 1K<n<10K
 ---
-# Dataset Card for Dataset Name
 
-<!-- Provide a quick summary of the dataset. -->
+# Dataset Card for CSL-Clinic
 
-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).
+CSL-Clinic is a Chinese Sign Language dataset for clinical and healthcare-related communication. Each example pairs a sign-language video with a gloss sequence and a Chinese text sentence, supporting research on sign language recognition, sign language translation, and accessible medical communication.
 
 ## Dataset Details
 
 ### Dataset Description
 
-<!-- Provide a longer summary of what this dataset is. -->
+- **Repository:** `rzhao/CSL-Clinic`
+- **Language:** Chinese
+- **Modality:** Video, gloss annotations, text annotations
+- **Domain:** Clinical and healthcare communication
+- **Total videos:** 5,972
+- **Splits:** train, dev, test
 
+### Dataset Summary
 
+The dataset contains short video clips of Chinese Sign Language expressions in clinical consultation scenarios. The annotations include:
 
-- **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]
-
-### Dataset Sources [optional]
-
-<!-- Provide the basic links for the dataset. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+- `file_name`: relative path to the video file
+- `gloss`: segmented sign gloss sequence
+- `text`: corresponding Chinese natural-language sentence
 
 ## Uses
 
-<!-- Address questions around how the dataset is intended to be used. -->
-
 ### Direct Use
 
-<!-- This section describes suitable use cases for the dataset. -->
+This dataset can be used for:
 
-[More Information Needed]
+- Chinese Sign Language recognition
+- Sign language translation from video to Chinese text
+- Gloss-to-text modeling
+- Multimodal learning with video and text
+- Research on accessible communication in medical settings
 
 ### Out-of-Scope Use
 
-<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
-
-[More Information Needed]
+The dataset should not be used as a substitute for professional medical advice, clinical diagnosis, or emergency communication. Models trained on this dataset may make translation or recognition errors and should be carefully validated before being used in any real healthcare workflow.
 
 ## 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
-
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
-
-#### Data Collection and Processing
+The dataset is organized into three splits:
 
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
+| Split | Videos | Annotation file |
+| --- | ---: | --- |
+| train | 5,000 | `train/train.csv` |
+| dev | 472 | `dev/metadata.csv` |
+| test | 500 | `test/metadata.csv` |
 
-[More Information Needed]
+Each split stores videos under a `video/` directory. Annotation rows reference videos through paths such as:
 
-#### Who are the source data producers?
+```text
+video/example.mp4
+```
 
-<!-- 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. -->
+### Data Fields
 
-[More Information Needed]
+- `file_name`: path to the video file within the split directory
+- `gloss`: Chinese Sign Language gloss annotation
+- `text`: Chinese sentence aligned with the video
 
-### Annotations [optional]
+### Data Splits
 
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
+The current release contains 5,972 annotated video examples:
 
-#### Annotation process
+```text
+train: 5000
+dev:    472
+test:   500
+```
 
-<!-- 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. -->
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-<!-- This section describes the people or systems who created the annotations. -->
-
-[More Information Needed]
-
-#### Personal and Sensitive Information
-
-<!-- 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. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+## Dataset Creation
 
-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
+### Source Data
 
-## Citation [optional]
+The videos and annotations are intended to represent clinical consultation questions and healthcare-related communication in Chinese Sign Language.
 
-<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+### Annotation Process
 
-**BibTeX:**
+Each video is paired with a gloss-level annotation and a Chinese text sentence. The `gloss` field provides a sign-oriented representation, while the `text` field provides the corresponding natural-language Chinese sentence.
 
-[More Information Needed]
+## Considerations
 
-**APA:**
+### Social Impact
 
-[More Information Needed]
+CSL-Clinic is designed to support research toward more accessible healthcare communication for Chinese Sign Language users. Work using this dataset should account for the high cost of mistakes in medical contexts and include human review when deployed beyond research.
 
-## Glossary [optional]
+### Biases and Limitations
 
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
+- The dataset may not cover all Chinese Sign Language variants, signer styles, medical specialties, or regional expressions.
+- Performance measured on this dataset may not generalize to real clinical environments.
+- Video quality, signer identity, background, and recording conditions may affect model behavior.
+- Medical-domain language can be sensitive and high-stakes; model outputs should be treated as assistive rather than authoritative.
 
-[More Information Needed]
+### Privacy
 
-## More Information [optional]
+Users of the dataset should avoid attempting to identify signers or infer private personal attributes. Any downstream release of models, predictions, or derived data should preserve signer privacy.
 
-[More Information Needed]
+## Citation
 
-## Dataset Card Authors [optional]
+If you use this dataset, please cite the dataset repository:
 
-[More Information Needed]
+```bibtex
+@misc{csl_clinic,
+  title = {CSL-Clinic},
+  author = {Zhao, R.},
+  year = {2026},
+  publisher = {Hugging Face},
+  howpublished = {\url{https://huggingface.co/datasets/rzhao/CSL-Clinic}}
+}
+```
 
-## Dataset Card Contact
+## Contact
 
-[More Information Needed]
+For questions about the dataset, please use the Hugging Face repository discussion page.