added support files

README.md

@@ -0,0 +1,10 @@
+---
+languages:
+- java
+licenses:
+- mit
+multilinguality:
+- monolingual
+pretty_name: 
+- java-8m-methods-v1
+---

java-8m-methods-v1.py

@@ -0,0 +1,61 @@
+import os
+import sys 
+import csv
+import datasets
+csv.field_size_limit(sys.maxsize)
+
+_DESCRIPTION = "Java 8M Methods :: A collection 8 million java methods"
+_CITATION    = "NOT AVAILABLE"
+_HOMEPAGE    = "NOT AVAILABLE"
+_LICENSE     = "MIT"
+
+
+_BASE_TRAIN_FILE_URL = "https://huggingface.co/datasets/anjandash/java-8m-methods-v1/resolve/main/train.csv"
+_BASE_VALID_FILE_URL = "https://huggingface.co/datasets/anjandash/java-8m-methods-v1/resolve/main/train.csv"
+_BASE_TEST_FILE_URL  = "https://huggingface.co/datasets/anjandash/java-8m-methods-v1/resolve/main/train.csv"
+
+_URLS = {
+    "train": _BASE_TRAIN_FILE_URL,
+    "valid": _BASE_VALID_FILE_URL,
+    "test":  _BASE_TEST_FILE_URL             
+}
+
+class Java8mMethodsV1(datasets.GeneratorBasedBuilder):
+    """Java 8M Methods"""
+
+    def _info(self):
+        """Returns Info"""
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "text": datasets.Value("string"),
+                }
+            ),
+            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.VALIDATION, gen_kwargs={"filepath": data_file["valid"]}),
+            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_, {
+                    "id": row[0],
+                    "text": row[1],
+                }