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README.md

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

valid.csv → default/java-8m-methods-v1-test.parquet

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test.csv → default/java-8m-methods-v1-train-00000-of-00007.parquet

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train.csv → default/java-8m-methods-v1-train-00001-of-00007.parquet

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default/java-8m-methods-v1-validation.parquet

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java-8m-methods-v1.py

@@ -1,61 +0,0 @@
-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/valid.csv"
-_BASE_TEST_FILE_URL  = "https://huggingface.co/datasets/anjandash/java-8m-methods-v1/resolve/main/test.csv"
-
-_URLS = {
-    "train": _BASE_TRAIN_FILE_URL,
-    "valid": _BASE_VALID_FILE_URL,
-    "test":  _BASE_TEST_FILE_URL             
-}
-
-class Java8mMethodsV1(datasets.GeneratorBasedBuilder): # or datasets.DatasetBuilder
-    """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],
-                }