Update scrolls.py

scrolls.py

@@ -158,6 +158,7 @@ _QUALITY_CITATION = """\
 }
 """
 
+
 class ScrollsConfig(datasets.BuilderConfig):
     """BuilderConfig for Scrolls."""
 
@@ -186,13 +187,16 @@ class ScrollsConfig(datasets.BuilderConfig):
         self.citation = citation
         self.url = url
 
+
 class QualityConfig(ScrollsConfig):
     def __init__(self, **kwargs):
         super().__init__(**kwargs)
         self.hard_only = False
 
+
 class Scrolls(datasets.GeneratorBasedBuilder):
     """The SuperGLUE benchmark."""
+
     features = ["id", "pid", "input", "output"]
     DEFAULT_WRITER_BATCH_SIZE = 1000  # because Narrative QA is a rather large dataset
     BUILDER_CONFIGS = [
@@ -251,7 +255,7 @@ class Scrolls(datasets.GeneratorBasedBuilder):
             data_url="https://scrolls-tau.s3.us-east-2.amazonaws.com/quality.zip",
             citation=_QUALITY_DESCRIPTION,
             url="https://github.com/nyu-mll/quality",
-        )
+        ),
     ]
 
     def _info(self):
@@ -268,6 +272,12 @@ class Scrolls(datasets.GeneratorBasedBuilder):
         dl_dir = dl_manager.download_and_extract(self.config.data_url)
         task_name = _get_task_name_from_data_url(self.config.data_url)
         dl_dir = os.path.join(dl_dir, task_name)
+
+        data_files = {} if self.config.data_files is not None else None
+        if data_files is not None:
+            for split, paths in self.config.data_files.items():
+                data_files[split] = paths[0]
+
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -286,7 +296,7 @@ class Scrolls(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "test.jsonl") if self.config.data_files is None else self.config.data_files["test"],
+                    "data_file": os.path.join(dl_dir, "test.jsonl") if data_files is None else data_files["test"],
                     "split": datasets.Split.TEST,
                 },
             ),
@@ -298,11 +308,12 @@ class Scrolls(datasets.GeneratorBasedBuilder):
                 row = json.loads(line)
 
                 if self.config.name == "quality":
-                    if self.config.hard_only and not row["is_hard"]:
+                    is_hard = row.pop("is_hard", False)
+                    if self.config.hard_only and is_hard:
                         continue
 
                 yield row["pid"], row
 
 
 def _get_task_name_from_data_url(data_url):
-    return data_url.split("/")[-1].split(".")[0]
+    return data_url.split("/")[-1].split(".")[0]