update

README.md

@@ -1,3 +1,52 @@
 ---
 license: apache-2.0
+task_categories:
+- text-generation
+language:
+- zh
+tags:
+- medical
+size_categories:
+- 100K<n<1M
 ---
+# Dataset Card for Huatuo_knowledge_graph_qa
+
+
+
+## Dataset Description
+
+- **Homepage: https://www.huatuogpt.cn/** 
+- **Repository: https://github.com/FreedomIntelligence/Huatuo-26M** 
+- **Paper: https://arxiv.org/abs/2305.01526** 
+- **Leaderboard:** 
+- **Point of Contact:** 
+
+
+
+### Dataset Summary
+
+We are pleased to announce the release of our evaluation dataset, a subset of the Huatuo-26M. This dataset contains 6,000 entries that we used for Natural Language Generation (NLG) experimentation in our associated research paper.
+
+
+We encourage researchers and developers to use this evaluation dataset to gauge the performance of their own models. This is not only a chance to assess the accuracy and relevancy of generated responses but also an opportunity to investigate their model's proficiency in understanding and generating complex medical language.
+
+
+Note: All the data points have been anonymized to protect patient privacy, and they adhere strictly to data protection and privacy regulations.
+
+
+
+
+
+
+## Citation
+
+```
+@misc{li2023huatuo26m,
+      title={Huatuo-26M, a Large-scale Chinese Medical QA Dataset}, 
+      author={Jianquan Li and Xidong Wang and Xiangbo Wu and Zhiyi Zhang and Xiaolong Xu and Jie Fu and Prayag Tiwari and Xiang Wan and Benyou Wang},
+      year={2023},
+      eprint={2305.01526},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```

my_dataset.py

@@ -1,29 +1,36 @@
 
 
 
-from datasets import DatasetInfo, Features, Split, SplitGenerator, GeneratorBasedBuilder, Value, Sequence
+from datasets import DatasetInfo, Features, Split, SplitGenerator, GeneratorBasedBuilder, Value
 import json
 
 class MyDataset(GeneratorBasedBuilder):
     def _info(self):
         return DatasetInfo(
             features=Features({
-                "questions": Sequence(Value("string")),
-                "answers": Sequence(Value("string"))
+                "questions": Value("string"),
+                "answers": Value("string")
             }),
             supervised_keys=("questions", "answers"),
-            homepage="https://github.com/FreedomIntelligence/HuatuoGPT",
-            citation="...",
+            homepage="https://github.com/FreedomIntelligence/Huatuo-26M",
+            citation='''
+                        @misc{li2023huatuo26m,
+                              title={Huatuo-26M, a Large-scale Chinese Medical QA Dataset}, 
+                              author={Jianquan Li and Xidong Wang and Xiangbo Wu and Zhiyi Zhang and Xiaolong Xu and Jie Fu and Prayag Tiwari and Xiang Wan and Benyou Wang},
+                              year={2023},
+                              eprint={2305.01526},
+                              archivePrefix={arXiv},
+                              primaryClass={cs.CL}
+                        }
+
+                        ''',
         )
 
     def _split_generators(self, dl_manager):
-        train_path = "train_datasets.jsonl"
-        validation_path = "validation_datasets.jsonl"
+
         test_path = "test_datasets.jsonl"
 
         return [
-            SplitGenerator(name=Split.TRAIN, gen_kwargs={"filepath": train_path}),
-            SplitGenerator(name=Split.VALIDATION, gen_kwargs={"filepath": validation_path}),
             SplitGenerator(name=Split.TEST, gen_kwargs={"filepath": test_path}),
         ]