Fix issues with private dataset not loading properly

README.md

@@ -20,6 +20,109 @@ task_categories:
 task_ids:
 - multi-class-classification
 - natural-language-inference
+dataset_info:
+- config_name: default
+  features:
+  - name: pair_id
+    dtype: string
+  - name: premise
+    dtype: string
+  - name: hypothesis
+    dtype: string
+  - name: annotation1
+    dtype: string
+  - name: annotator1_id
+    dtype: string
+  - name: annotation2
+    dtype: string
+  - name: annotator2_id
+    dtype: string
+  - name: annotation3
+    dtype: string
+  - name: annotator3_id
+    dtype: string
+  - name: annotation_final
+    dtype: string
+  - name: label
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 1352635
+    num_examples: 4392
+  - name: validation
+    num_bytes: 164561
+    num_examples: 547
+  - name: test
+    num_bytes: 246518
+    num_examples: 998
+  download_size: 410093
+  dataset_size: 1763714
+- config_name: public
+  features:
+  - name: pair_id
+    dtype: string
+  - name: premise
+    dtype: string
+  - name: hypothesis
+    dtype: string
+  - name: annotation1
+    dtype: string
+  - name: annotator1_id
+    dtype: string
+  - name: annotation2
+    dtype: string
+  - name: annotator2_id
+    dtype: string
+  - name: annotation3
+    dtype: string
+  - name: annotator3_id
+    dtype: string
+  - name: annotation_final
+    dtype: string
+  - name: label
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 1352591
+    num_examples: 4392
+  - name: validation
+    num_bytes: 164517
+    num_examples: 547
+  - name: test
+    num_bytes: 246474
+    num_examples: 998
+  download_size: 410093
+  dataset_size: 1763582
+- config_name: private
+  features:
+  - name: pair_id
+    dtype: string
+  - name: premise
+    dtype: string
+  - name: hypothesis
+    dtype: string
+  - name: annotation1
+    dtype: string
+  - name: annotator1_id
+    dtype: string
+  - name: annotation2
+    dtype: string
+  - name: annotator2_id
+    dtype: string
+  - name: annotation3
+    dtype: string
+  - name: annotator3_id
+    dtype: string
+  - name: annotation_final
+    dtype: string
+  - name: label
+    dtype: string
+  splits:
+  - name: train
+  - name: validation
+  - name: test
+  download_size: 0
+  dataset_size: 0
 ---
 
 # Dataset Card for SI-NLI

si_nli.py

@@ -77,6 +77,7 @@ class SINLI(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
+        split_prefix = ""
         if self.config.name == "public":
             urls = _URLS["si-nli"]
             data_dir = dl_manager.download_and_extract(urls)
@@ -89,33 +90,36 @@ class SINLI(datasets.GeneratorBasedBuilder):
             data_dir = dl_manager.manual_dir
 
             if data_dir is None:
-                return []
+                split_prefix = "dummy_"
 
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
                     "file_path": os.path.join(data_dir, "SI-NLI", "train.tsv"),
-                    "split": "train"
+                    "split": f"{split_prefix}train"
                 }
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 gen_kwargs={
                     "file_path": os.path.join(data_dir, "SI-NLI", "dev.tsv"),
-                    "split": "dev"
+                    "split": f"{split_prefix}dev"
                 }
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
                     "file_path": os.path.join(data_dir, "SI-NLI", "test.tsv"),
-                    "split": "test"
+                    "split": f"{split_prefix}test"
                 }
             )
         ]
 
     def _generate_examples(self, file_path, split):
+        if split.startswith("dummy"):
+            return None
+
         with open(file_path, encoding="utf-8") as f:
             reader = csv.reader(f, delimiter="\t", quotechar='"')
             header = next(reader)