Update nemo_corpus.py

nemo_corpus.py

@@ -125,7 +125,9 @@ class NemoCorpusConfig(datasets.BuilderConfig):
         """
         version = datasets.Version("1.0.0")
         description = "Nemo corpus dataset"
-        name = "flat"
+        self.name = name
+        self.dataset_type = name.split("-")[-1]
+        self.is_nested = False
         super(NemoCorpusConfig, self).__init__(version=version, description=description,
                                                name=name)
         self.features = datasets.Features(
@@ -159,18 +161,29 @@ class NemoCorpusConfig(datasets.BuilderConfig):
             }
         )
 
+    def get_datafiles(self, folder):
+        data_prefix = "morph" if self.dataset_type == "morph" else "token-single"
+        return  {
+            "train": dl_manager.download(folder / f"{data_prefix}_gold_train.bmes"),
+            "validation": dl_manager.download(folder / f"{data_prefix}_gold_dev.bmes"),
+            "test": dl_manager.download(folder / f"{data_prefix}_gold_test.bmes"),
+        }
+
+
 
 class NemoCorpusNestedConfig(datasets.BuilderConfig):
     """BuilderConfig for NemoCorpus"""
 
-    def __init__(self):
+    def __init__(self, name):
         """BuilderConfig for nested NemoCorpus.
         Args:
           **kwargs: keyword arguments forwarded to super.
         """
         version = datasets.Version("1.0.0")
         description = "Nemo corpus dataset"
-        name = "nested"
+        self.name = name
+        self.dataset_type = name.split("-")[-1]
+        self.is_nested = True
         super(NemoCorpusNestedConfig, self).__init__(version=version,
                                                      description=description,
                                                      name=name)
@@ -199,15 +212,27 @@ class NemoCorpusNestedConfig(datasets.BuilderConfig):
             }
         )
 
+    def get_datafiles(self, folder):
+        data_prefix = "morph" if self.dataset_type == "morph" else "token-single"
+        folder = folder / "nested"
+        return  {
+            "train": dl_manager.download(folder / f"{data_prefix}_gold_train.bmes"),
+            "validation": dl_manager.download(folder / f"{data_prefix}_gold_dev.bmes"),
+            "test": dl_manager.download(folder / f"{data_prefix}_gold_test.bmes"),
+        }
+
+
 
 class NemoCorpus(datasets.GeneratorBasedBuilder):
     """NemoCorpus dataset."""
 
-    DEFAULT_CONFIG_NAME = "flat"
+    DEFAULT_CONFIG_NAME = "flat_token"
 
     BUILDER_CONFIGS = [
-        NemoCorpusConfig(),
-        NemoCorpusNestedConfig()
+        NemoCorpusConfig("flat_token"),
+        NemoCorpusNestedConfig("nested_token"),
+        NemoCorpusConfig("flat_morph"),
+        NemoCorpusNestedConfig("nested_morph")
     ]
 
     def _info(self):
@@ -225,14 +250,7 @@ class NemoCorpus(datasets.GeneratorBasedBuilder):
         os.makedirs(dirname, exist_ok=True)
         os.system(f"cd {dirname} && git clone --depth=1 {URL}")
         folder = Path(dirname) / "NEMO-Corpus" / "data" / "spmrl" / "gold"
-        if self.config.name == "nested":
-            folder = folder / "nested"
-        data_files = {
-            "train": dl_manager.download(folder / "morph_gold_train.bmes"),
-            "validation": dl_manager.download(folder / "morph_gold_dev.bmes"),
-            "test": dl_manager.download(folder / "morph_gold_test.bmes"),
-        }
-
+        data_files = self.config.get_datafiles(folder)
         return [
             datasets.SplitGenerator(name=datasets.Split.TRAIN,
                                     gen_kwargs={"filepath": data_files["train"]}),