chore: update README.md content

README.md

@@ -9,13 +9,64 @@ dataset_info:
       dtype: string
   splits:
   - name: train
-    num_bytes: 2396505.0
+    num_bytes: 2396505
     num_examples: 8676
   download_size: 970141
-  dataset_size: 2396505.0
+  dataset_size: 2396505
 configs:
 - config_name: default
   data_files:
   - split: train
     path: data/train-*
+task_categories:
+- text-generation
+- text2text-generation
+language:
+- en
+size_categories:
+- 1K<n<10K
 ---
+
+
+## Description
+
+The dataset is from [medalpaca/medical_meadow_health_advice](https://huggingface.co/datasets/medalpaca/medical_meadow_health_advice), formatted as dialogues for speed and ease of use. Many thanks to author for releasing it.
+Importantly, this format is easy to use via the default chat template of `transformers`, meaning you can use [huggingface/alignment-handbook](https://github.com/huggingface/alignment-handbook) immediately, [unsloth](https://github.com/unslothai/unsloth).
+
+## Structure
+
+*View online through viewer.*
+
+## Note
+
+We advise you to reconsider before use, thank you. If you find it useful, please like and follow this account.
+
+## Reference
+
+The **Ghost X** was developed with the goal of researching and developing artificial intelligence useful to humans.
+
+- HuggingFace: [ghost-x](https://huggingface.co/ghost-x)
+- Github: [ghost-x-ai](https://github.com/ghost-x-ai)
+- X / Twitter: [ghostx_ai](https://twitter.com/ghostx_ai)
+- Website: [ghost-x.org](https://ghost-x.org/)
+
+## Citation
+
+```json
+@inproceedings{yu-etal-2019-detecting,
+    title = "Detecting Causal Language Use in Science Findings",
+    author = "Yu, Bei  and
+      Li, Yingya  and
+      Wang, Jun",
+    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
+    month = nov,
+    year = "2019",
+    address = "Hong Kong, China",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/D19-1473",
+    doi = "10.18653/v1/D19-1473",
+    pages = "4664--4674",
+}
+```
+
+### ~