Add metadata, task categories and project links

Hi! I'm Niels from the Hugging Face community science team.

I've updated the dataset card to improve its discoverability and documentation:
1. **Metadata**: Added `task_categories` (`automatic-speech-recognition`), `language` (`th`), and the `license` (`cc-by-4.0`).
2. **ArXiv Association**: Linked the dataset to its research paper using the `arxiv` metadata field.
3. **Project Links**: Added explicit links to the project page, the paper, and the GitHub repository at the top of the README.

README.md

@@ -1,4 +1,10 @@
 ---
+language:
+- th
+license: cc-by-4.0
+task_categories:
+- automatic-speech-recognition
+arxiv: 2601.13044
 dataset_info:
   features:
   - name: audio_id
@@ -20,6 +26,8 @@ configs:
 
 # Gigaspeech2 Typhoon
 
+[Project page](https://opentyphoon.ai/model/typhoon-asr-realtime) | [Paper](https://huggingface.co/papers/2601.13044) | [GitHub](https://github.com/scb-10x/typhoon-asr)
+
 **Gigaspeech2 Typhoon** is a metadata-only reference dataset for Thai speech recognition benchmarking, specifically designed as an **Accuracy Track** for evaluating ASR models. The dataset contains 1,000 test samples with audio IDs and human transcriptions derived from the [Gigaspeech2](https://arxiv.org/abs/2406.11546) corpus. Each audio_id directly links to the original Gigaspeech2 dataset, allowing users to download the corresponding audio.
 
 ## Dataset Overview
@@ -88,7 +96,7 @@ Please also cite the original Gigaspeech2 paper:
 ```bibtex
 @article{gigaspeech2_2024,
   title={GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinement},
-  author={...},
+  author={Guan-Ting Lin and others},
   journal={arXiv preprint arXiv:2406.11546},
   year={2024}
 }
@@ -117,11 +125,10 @@ If you use this dataset in your research or application, please cite our technic
       eprint={2601.13044},
       archivePrefix={arXiv},
       primaryClass={cs.CL},
-      url={[https://arxiv.org/abs/2601.13044](https://arxiv.org/abs/2601.13044)}, 
+      url={https://arxiv.org/abs/2601.13044}, 
 }
 ```
 
 ## Contact
 
-For questions or feedback about this dataset, please visit [opentyphoon.ai](http://opentyphoon.ai) or open an issue on the dataset repository.
-
+For questions or feedback about this dataset, please visit [opentyphoon.ai](http://opentyphoon.ai) or open an issue on the dataset repository.