Upload java-cmpx-v1.py

java-cmpx-v1.py

@@ -0,0 +1,58 @@
+import os
+import sys 
+import csv
+import datasets
+csv.field_size_limit(sys.maxsize)
+
+_DESCRIPTION = "JEMMA Java CMPX"
+_CITATION    = "NOT AVAILABLE"
+_HOMEPAGE    = "NOT AVAILABLE"
+_LICENSE     = "MIT"
+
+
+_BASE_TRAIN_FILE_URL = "https://huggingface.co/datasets/giganticode/java-cmpx-v1/resolve/main/Jemma_Properties_Methods_CMPX__Huggingface_Dataset_TRAIN.csv"
+_BASE_TEST_FILE_URL  = "https://huggingface.co/datasets/giganticode/java-cmpx-v1/resolve/main/Jemma_Properties_Methods_CMPX__Huggingface_Dataset_TEST.csv"
+
+_URLS = {
+    "train": _BASE_TRAIN_FILE_URL,
+    "test": _BASE_TEST_FILE_URL             
+}
+
+class JavaCMPX(datasets.GeneratorBasedBuilder):
+    """Java CMPX"""
+
+    def _info(self):
+        """Returns Info"""
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                    "label": datasets.Value("int32"),
+                }
+            ),
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators"""
+        data_file = dl_manager.download(_URLS)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_file["train"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST,  gen_kwargs={"filepath": data_file["test"]}),
+        ]     
+
+
+    def _generate_examples(self, filepath):
+        """Yields Examples"""
+        with open(filepath, encoding="utf-8") as f:
+            reader = csv.reader(f)
+            for id_, row in enumerate(reader):
+                if id_ == 0:
+                    continue
+                yield id_, {
+                    "text": row[0],
+                    "label": row[1],
+                }