fir commit

my_dataset.py

@@ -0,0 +1,46 @@
+
+
+
+from datasets import DatasetInfo, Features, Split, SplitGenerator, GeneratorBasedBuilder, Value, Sequence
+import json
+
+class MyDataset(GeneratorBasedBuilder):
+    def _info(self):
+        return DatasetInfo(
+            features=Features({
+                "questions": Sequence(Value("string")),
+                "answers": Sequence(Value("string"))
+            }),
+            supervised_keys=("questions", "answers"),
+            homepage="https://github.com/FreedomIntelligence/HuatuoGPT",
+            citation="...",
+        )
+
+    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}),
+        ]
+
+    def _generate_examples(self, filepath):
+        with open(filepath, encoding="utf-8") as f:
+            for id_, row in enumerate(f):
+                # Process your data here and create a dictionary with the features.
+                # For example, if your data is in JSON format:
+                data = json.loads(row)
+                yield id_, {
+                    "questions": data["questions"],
+                    "answers": data["answers"],
+                }
+
+if __name__ == '__main__':
+    from datasets import load_dataset
+
+    dataset = load_dataset("my_dataset.py")
+
+    print()