Update files from the datasets library (from 1.16.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.16.0

README.md

@@ -1,4 +1,5 @@
 ---
+pretty_name: DBRD
 annotations_creators:
 - found
 language_creators:

dbrd.py

@@ -17,8 +17,6 @@
 """Dutch Book Review Dataset"""
 
 
-import os
-
 import datasets
 from datasets.tasks import TextClassification
 
@@ -85,42 +83,30 @@ class DBRD(datasets.GeneratorBasedBuilder):
             task_templates=[TextClassification(text_column="text", label_column="label")],
         )
 
-    def _vocab_text_gen(self, archive):
-        for _, ex in self._generate_examples(archive, os.path.join("DBRD", "train")):
-            yield ex["text"]
-
     def _split_generators(self, dl_manager):
-        arch_path = dl_manager.download_and_extract(_DOWNLOAD_URL)
-        data_dir = os.path.join(arch_path, "DBRD")
+        archive = dl_manager.download(_DOWNLOAD_URL)
         return [
             datasets.SplitGenerator(
-                name=datasets.Split.TRAIN, gen_kwargs={"directory": os.path.join(data_dir, "train")}
+                name=datasets.Split.TRAIN, gen_kwargs={"files": dl_manager.iter_archive(archive), "split": "train"}
             ),
             datasets.SplitGenerator(
-                name=datasets.Split.TEST, gen_kwargs={"directory": os.path.join(data_dir, "test")}
+                name=datasets.Split.TEST, gen_kwargs={"files": dl_manager.iter_archive(archive), "split": "test"}
             ),
             datasets.SplitGenerator(
                 name=datasets.Split("unsupervised"),
-                gen_kwargs={"directory": os.path.join(data_dir, "unsup"), "labeled": False},
+                gen_kwargs={"files": dl_manager.iter_archive(archive), "split": "unsup", "labeled": False},
             ),
         ]
 
-    def _generate_examples(self, directory, labeled=True):
+    def _generate_examples(self, files, split, labeled=True):
         """Generate DBRD examples."""
         # For labeled examples, extract the label from the path.
         if labeled:
-            files = {
-                "pos": sorted(os.listdir(os.path.join(directory, "pos"))),
-                "neg": sorted(os.listdir(os.path.join(directory, "neg"))),
-            }
-            for key in files:
-                for id_, file in enumerate(files[key]):
-                    filepath = os.path.join(directory, key, file)
-                    with open(filepath, encoding="UTF-8") as f:
-                        yield key + "_" + str(id_), {"text": f.read(), "label": key}
+            for path, f in files:
+                if path.startswith(f"DBRD/{split}"):
+                    label = {"pos": 1, "neg": 0}[path.split("/")[2]]
+                    yield path, {"text": f.read().decode("utf-8"), "label": label}
         else:
-            unsup_files = sorted(os.listdir(directory))
-            for id_, file in enumerate(unsup_files):
-                filepath = os.path.join(directory, file)
-                with open(filepath, encoding="UTF-8") as f:
-                    yield id_, {"text": f.read(), "label": -1}
+            for path, f in files:
+                if path.startswith(f"DBRD/{split}"):
+                    yield path, {"text": f.read().decode("utf-8"), "label": -1}