Create GenMix50k.py

GenMix50k.py

@@ -0,0 +1,88 @@
+import os
+import json
+import datasets as ds
+
+_DESCRIPTION = """
+Description of the dataset.
+"""
+
+_CITATION = """
+Citation for the dataset.
+"""
+
+_LICENCE = """
+License information for the dataset.
+"""
+
+_FEATURES = ds.Features({
+    "x": ds.Value(dtype="string"),
+    "y": ds.Value(dtype="string")
+})
+
+class GenMix50kConfig(ds.BuilderConfig):
+    def __init__(self, **kwargs):
+        super(GenMix50kConfig, self).__init__(**kwargs)
+        self.version = ds.Version("1.0.3")
+        self.features = _FEATURES
+        self.citation = _CITATION
+
+class GenMix50k(ds.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        GenMix50kConfig(name="translation"),
+        GenMix50kConfig(name="dialogue"),
+        GenMix50kConfig(name="summarization")
+    ]
+
+    def _info(self) -> ds.DatasetInfo:
+        """Returns the dataset metadata."""
+        return ds.DatasetInfo(
+            description=_DESCRIPTION,
+            features=self.config.features,
+            citation=self.config.citation,
+            license=_LICENCE,
+            supervised_keys=None
+        )
+
+    def _split_generators(self, dl_manager: ds.DownloadManager):
+        """Returns SplitGenerators"""
+        base_url = "https://huggingface.co/datasets/moon23k/GenMix50k/resolve/main/"
+        data_files = {
+            "translation": {
+                "train": base_url + "translation/train.json",
+                "validation": base_url + "translation/valid.json",
+                "test": base_url + "translation/test.json"
+            },
+            "dialogue": {
+                "train": base_url + "dialogue/train.json",
+                "validation": base_url + "dialogue/valid.json",
+                "test": base_url + "dialogue/test.json"
+            },
+            "summarization": {
+                "train": base_url + "summarization/train.json",
+                "validation": base_url + "summarization/valid.json",
+                "test": base_url + "summarization/test.json"
+            }
+        }
+
+        downloaded_files = dl_manager.download_and_extract(data_files[self.config.name])
+
+        return [
+            ds.SplitGenerator(
+                name=ds.Split.TRAIN,
+                gen_kwargs={"filepath": downloaded_files["train"]},
+            ),
+            ds.SplitGenerator(
+                name=ds.Split.VALIDATION,
+                gen_kwargs={"filepath": downloaded_files["validation"]},
+            ),
+            ds.SplitGenerator(
+                name=ds.Split.TEST,
+                gen_kwargs={"filepath": downloaded_files["test"]},
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        with open(filepath, encoding="utf-8") as f:
+            for idx, line in enumerate(f):
+                example = json.loads(line)
+                yield idx, example