Streaming support

greek_legal_code.py

@@ -19,11 +19,9 @@ a collection of Greek legislative documents classified into multi-level (from br
 
 
 import json
-import os
 
 import datasets
 
-
 _CITATION = """\
 @inproceedings{papaloukas-etal-2021-glc,
     title = "Multi-granular Legal Topic Classification on Greek Legislation",
@@ -2817,7 +2815,10 @@ class GreekLegalCode(datasets.GeneratorBasedBuilder):
 
     def _info(self):
         features = datasets.Features(
-            {"text": datasets.Value("string"), "label": datasets.ClassLabel(names=self.config.label_names)}
+            {
+                "text": datasets.Value("string"),
+                "label": datasets.ClassLabel(names=self.config.label_names),
+            }
         )
         return datasets.DatasetInfo(
             # This is the description that will appear on the datasets page.
@@ -2835,45 +2836,57 @@ class GreekLegalCode(datasets.GeneratorBasedBuilder):
             # Citation for the dataset
             citation=_CITATION,
             # Task template
-            task_templates=[datasets.tasks.TextClassification(text_column="text", label_column="label")],
+            task_templates=[
+                datasets.tasks.TextClassification(
+                    text_column="text", label_column="label"
+                )
+            ],
         )
 
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
-        data_dir = dl_manager.download_and_extract(URL)
+        archive = dl_manager.download(URL)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "train.jsonl"),
+                    "archive": dl_manager.iter_archive(archive),
                     "split": "train",
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
-                gen_kwargs={"filepath": os.path.join(data_dir, "test.jsonl"), "split": "test"},
+                gen_kwargs={
+                    "archive": dl_manager.iter_archive(archive),
+                    "split": "test",
+                },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "dev.jsonl"),
+                    "archive": dl_manager.iter_archive(archive),
                     "split": "dev",
                 },
             ),
         ]
 
     def _generate_examples(
-        self, filepath, split  # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
+        self,
+        archive,
+        split,  # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     ):
         """Yields examples as (key, example) tuples."""
 
-        with open(filepath, encoding="utf-8") as f:
-            for id_, row in enumerate(f):
-                data = json.loads(row)
-                yield id_, {
-                    "text": data["text"],
-                    "label": data[self.config.label_type],
-                }
+        idx = 0
+        for path, f in archive:
+            if path == split + ".jsonl":
+                for line in f:
+                    data = json.loads(line)
+                    yield idx, {
+                        "text": data["text"],
+                        "label": data[self.config.label_type],
+                    }
+                    idx += 1