refactor absabank files and config name -> absabank-imm

superlim-2.py

@@ -110,7 +110,7 @@ _argumentation_sentences_DESCRIPTION_CITATION = """\
 # TODO: Add link to the official GitHub repo once it becomes public
 _URL = "https://huggingface.co/datasets/sbx/superlim-2/resolve/main/data/"
 _TASKS = {    
-    "absabank": "absabank-imm",
+    "absabank-imm": "absabank-imm",
     "argumentation_sent":"argumentation-sentences",
     "dalaj": "dalag-ged-superlim",
     "swesim_relatedness": "supersim-superlim/supersim-superlim-relatedness",
@@ -160,7 +160,7 @@ class SuperLim(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("2.0.0")
 
     BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="absabank", version=VERSION, description=_DaLAJ_DESCRIPTION),
+        datasets.BuilderConfig(name="absabank-imm", version=VERSION, description=_DaLAJ_DESCRIPTION),
         datasets.BuilderConfig(name="dalaj", 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),        
@@ -189,9 +189,10 @@ class SuperLim(datasets.GeneratorBasedBuilder):
                     # These are the features of your dataset like images, labels ...
                 }
             )
-        elif self.config.name == 'absabank':
+        elif self.config.name == 'absabank-imm':
             features = datasets.Features(
                 {
+                    "id": datasets.Value("string"),
                     "text": datasets.Value("string"),
                     "label": datasets.Value(dtype='float32')               
                 }
@@ -337,7 +338,7 @@ class SuperLim(datasets.GeneratorBasedBuilder):
             },
         )
         splits.append(split_test)
-        if self.config.name in ("absabank", "dalaj", "swefaq", "swewic", "swedn"):
+        if self.config.name in ("absabank-imm", "dalaj", "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,
@@ -348,7 +349,7 @@ class SuperLim(datasets.GeneratorBasedBuilder):
                 },
             )
             splits.append(split_dev)
-        if self.config.name in ("absabank", "dalaj", "swefaq", "swewic", "argumentation_sent", "swedn"):
+        if self.config.name in ("absabank-imm", "dalaj", "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,
@@ -378,8 +379,9 @@ class SuperLim(datasets.GeneratorBasedBuilder):
                     "l1": row["l1"],
                     "approximate_level": row["approximate level"],
                 }
-            elif self.config.name == "absabank":
+            elif self.config.name == "absabank-imm":
                 yield key, {
+                    "id": row['id'],
                     "text": row["text"],
                     "label": row["label"],
                 }