Fix streaming TAR archive

scicite.py

@@ -29,7 +29,6 @@ TODO: Use standard BigBio missing values.
 """
 
 import json
-import os
 from typing import Dict, List, Tuple
 
 import datasets
@@ -147,37 +146,42 @@ class SciciteDataset(datasets.GeneratorBasedBuilder):
     def _split_generators(self, dl_manager) -> List[datasets.SplitGenerator]:
         """Returns SplitGenerators."""
         urls = _URLS[_DATASETNAME]
-        data_dir = dl_manager.download_and_extract(urls)
+        data_dir = dl_manager.download(urls)
 
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "scicite", "train.jsonl"),
+                    "archive": dl_manager.iter_archive(data_dir),
+                    "filepath": "scicite/train.jsonl",
                     "split": "train",
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "scicite", "test.jsonl"),
+                    "archive": dl_manager.iter_archive(data_dir),
+                    "filepath": "scicite/test.jsonl",
                     "split": "test",
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "scicite", "dev.jsonl"),
+                    "archive": dl_manager.iter_archive(data_dir),
+                    "filepath": "scicite/dev.jsonl",
                     "split": "dev",
                 },
             ),
         ]
 
-    def _generate_examples(self, filepath, split: str) -> Tuple[int, Dict]:
+    def _generate_examples(self, archive, filepath, split: str) -> Tuple[int, Dict]:
         """Yields examples as (key, example) tuples."""
 
-        with open(filepath, "r") as data_file:
-            examples = [json.loads(line) for line in data_file]
+        for path, file in archive:
+            if path == filepath:
+                examples = [json.loads(line) for line in file]
+                break
 
             # Preprocesses examples
             keys = set()