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aptani2_config.tar.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a4eb134894fe9a3335803a35e724ebb17208901594c45add9dc8e9d67314f8b0
+size 1684044

aptani2param.py

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+import os
+import datasets
+
+
+logger = datasets.logging.get_logger(__name__)
+
+ID_POOL = ("default", "origin")
+URL = "https://huggingface.co/datasets/thewall/thewall/Aptani2Param/resolve/main"
+
+
+class Aptani2ParamConfig(datasets.BuilderConfig):
+    pass
+
+
+class Aptani2Param(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        Aptani2ParamConfig(name=key) for key in ID_POOL
+    ]
+
+    DEFAULT_CONFIG_NAME = "default"
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            features=datasets.Features(
+                {
+                    "config": datasets.Value("string"),
+                    "existed": datasets.Value("bool"),
+                }
+            ),
+            homepage="http://aptani.unimore.it/",
+        )
+
+    def _split_generators(self, dl_manager):
+        aptani2_url = f"{URL}/aptani2_config.tar.gz"
+        downloaded_files = [os.path.join(f"{dl_manager.download_and_extract(aptani2_url)}", self.config.name)]
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files}),
+        ]
+
+    def _generate_examples(self, filepath):
+        """This function returns the examples in the raw (text) form."""
+        logger.info("generating examples from = %s", filepath)
+        flag = True
+        for file in filepath:
+            flag = flag and os.path.exists(file)
+
+        yield 0, {"config": filepath[0],
+                  "existed": flag
+                  }
+
+
+if __name__=="__main__":
+    from datasets import load_dataset
+    dataset = load_dataset("aptani2param.py", split="all")