rename dalaj -> dalaj-ged

superlim-2.py

@@ -112,7 +112,7 @@ _URL = "https://huggingface.co/datasets/sbx/superlim-2/resolve/main/data/"
 _TASKS = {    
     "absabank-imm": "absabank-imm",
     "argumentation_sent":"argumentation-sentences",
-    "dalaj": "dalag-ged-superlim",
+    "dalaj-ged": "dalag-ged-superlim",
     "swesim_relatedness": "supersim-superlim/supersim-superlim-relatedness",
     "swesim_similarity": "supersim-superlim/supersim-superlim-similarity",
     "sweana": "sweanalogy",
@@ -161,7 +161,7 @@ class SuperLim(datasets.GeneratorBasedBuilder):
 
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(name="absabank-imm", version=VERSION, description=_DaLAJ_DESCRIPTION),
-        datasets.BuilderConfig(name="dalaj", version=VERSION, description=_DaLAJ_DESCRIPTION),
+        datasets.BuilderConfig(name="dalaj-ged", version=VERSION, description=_DaLAJ_DESCRIPTION),
         datasets.BuilderConfig(name="swesim_relatedness", version=VERSION, description=_SweSim_DESCRIPTION),
         datasets.BuilderConfig(name="swesim_similarity", version=VERSION, description=_SweSim_DESCRIPTION),        
         datasets.BuilderConfig(name="sweana", version=VERSION, description=_SweAna_DESCRIPTION),
@@ -175,18 +175,12 @@ class SuperLim(datasets.GeneratorBasedBuilder):
 
     def _info(self):
         # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
-        if self.config.name == "dalaj":  # This is the name of the configuration selected in BUILDER_CONFIGS above
+        if self.config.name == "dalaj-ged":  # This is the name of the configuration selected in BUILDER_CONFIGS above
             features = datasets.Features(
                 {
-                    "original_sentence": datasets.Value("string"),
-                    "corrected_sentence": datasets.Value("string"),
-                    "error_indices": datasets.Value("string"),
-                    "corrected_indices": datasets.Value("string"),
-                    "error_corr_pair": datasets.Value("string"),
-                    "error_label": datasets.Value("string"),
-                    "l1": datasets.Value("string"),
-                    "approximate_level":  datasets.Value("string"),
-                    # These are the features of your dataset like images, labels ...
+                    "sentence": datasets.Value("string"),
+                    "label": datasets.Value("string"),
+                    "meta": datasets.Value("string")
                 }
             )
         elif self.config.name == 'absabank-imm':
@@ -338,7 +332,7 @@ class SuperLim(datasets.GeneratorBasedBuilder):
             },
         )
         splits.append(split_test)
-        if self.config.name in ("absabank-imm", "dalaj", "swefaq", "swewic", "swedn"):
+        if self.config.name in ("absabank-imm", "dalaj-ged", "swefaq", "swewic", "swedn"):
             data_dir_dev = dl_manager.download_and_extract(os.path.join(_URL,_TASKS[self.config.name],f"{_TASKS[self.config.name]}_dev.{file_format}"))
             split_dev = datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
@@ -349,7 +343,7 @@ class SuperLim(datasets.GeneratorBasedBuilder):
                 },
             )
             splits.append(split_dev)
-        if self.config.name in ("absabank-imm", "dalaj", "swefaq", "swewic", "argumentation_sent", "swedn"):
+        if self.config.name in ("absabank-imm", "dalaj-ged", "swefaq", "swewic", "argumentation_sent", "swedn"):
             data_dir_train = dl_manager.download_and_extract(os.path.join(_URL,_TASKS[self.config.name],f"{_TASKS[self.config.name]}_train.{file_format}"))
             split_train = datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -367,17 +361,12 @@ class SuperLim(datasets.GeneratorBasedBuilder):
         # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
         df = pd.read_json(filepath, lines=True)
         for key, row in df.iterrows():
-            if self.config.name == "dalaj":
+            if self.config.name == "dalaj-ged":
             # Yields examples as (key, example) tuples
                 yield key, {
-                    "original_sentence": row["original sentence"],
-                    "corrected_sentence": row["corrected sentence"],
-                    "error_indices": row["error indices"],
-                    "corrected_indices": row["corrected indices"],
-                    "error_corr_pair": row["error-corr pair"],
-                    "error_label": row["error label"],
-                    "l1": row["l1"],
-                    "approximate_level": row["approximate level"],
+                    "sentence": row["sentence"],
+                    "label": row["label"],
+                    "meta": row["meta"],
                 }
             elif self.config.name == "absabank-imm":
                 yield key, {