Create finstsb_dataset.py

finstsb_dataset.py

@@ -0,0 +1,54 @@
+import csv
+import datasets
+
+class Finstsb(datasets.GeneratorBasedBuilder):
+    """Finstsb dataset."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="Finstsb dataset",
+            features=datasets.Features(
+                {
+                    "sentence1": datasets.Value("string"),
+                    "sentence2": datasets.Value("string"),
+                    "gpt_score": datasets.Value("int32"),
+                    "score": datasets.Value("int32"),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://huggingface.co/datasets",
+            citation="",
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        urls_to_download = {
+            "dev": "path/to/your/finstsb_to_dev.csv",
+            "test": "path/to/your/finstsb_to_test.csv",
+        }
+        downloaded_files = dl_manager.download_and_extract(urls_to_download)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"filepath": downloaded_files["dev"]},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": downloaded_files["test"]},
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        with open(filepath, encoding="utf-8") as f:
+            reader = csv.DictReader(f)
+            for id_, row in enumerate(reader):
+                yield id_, {
+                    "sentence1": row["sentence1"],
+                    "sentence2": row["sentence2"],
+                    "gpt_score": int(row["gpt_score"]),
+                    "score": int(row["score"]),
+                }