Update loading script

bionlp_st_2013_gro.py

@@ -15,7 +15,7 @@
 
 
 from pathlib import Path
-from typing import List
+from typing import Iterable, List
 
 import datasets
 
@@ -62,8 +62,9 @@ _HOMEPAGE = "https://github.com/openbiocorpora/bionlp-st-2013-gro"
 _LICENSE = 'GENIA Project License for Annotated Corpora'
 
 _URLs = {
-    "source": "https://github.com/openbiocorpora/bionlp-st-2013-gro/archive/refs/heads/master.zip",
-    "bigbio_kb": "https://github.com/openbiocorpora/bionlp-st-2013-gro/archive/refs/heads/master.zip",
+    "train": "data/train.zip",
+    "validation": "data/devel.zip",
+    "test": "data/test.zip",
 }
 
 _SUPPORTED_TASKS = [
@@ -197,47 +198,44 @@ class bionlp_st_2013_gro(datasets.GeneratorBasedBuilder):
     def _split_generators(
         self, dl_manager: datasets.DownloadManager
     ) -> List[datasets.SplitGenerator]:
-
-        my_urls = _URLs[self.config.schema]
-        data_dir = Path(dl_manager.download_and_extract(my_urls))
-        data_files = {
-            "train": data_dir
-            / f"bionlp-st-2013-gro-master"
-            / "original-data"
-            / "train",
-            "dev": data_dir / f"bionlp-st-2013-gro-master" / "original-data" / "devel",
-            "test": data_dir / f"bionlp-st-2013-gro-master" / "original-data" / "test",
-        }
-
+        data_files = dl_manager.download_and_extract(_URLs)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs={"data_files": data_files["train"]},
+                gen_kwargs={"data_files": dl_manager.iter_files(data_files["train"])},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
-                gen_kwargs={"data_files": data_files["dev"]},
+                gen_kwargs={"data_files": dl_manager.iter_files(data_files["validation"])},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
-                gen_kwargs={"data_files": data_files["test"]},
+                gen_kwargs={"data_files": dl_manager.iter_files(data_files["test"])},
             ),
         ]
 
-    def _generate_examples(self, data_files: Path):
+    def _generate_examples(self, data_files: Iterable[str]):
         if self.config.schema == "source":
-            txt_files = list(data_files.glob("*txt"))
-            for guid, txt_file in enumerate(txt_files):
+            guid = 0
+            for data_file in data_files:
+                txt_file = Path(data_file)
+                if txt_file.suffix != ".txt":
+                    continue
                 example = parse_brat_file(txt_file)
                 example["id"] = str(guid)
                 yield guid, example
+                guid += 1
         elif self.config.schema == "bigbio_kb":
-            txt_files = list(data_files.glob("*txt"))
-            for guid, txt_file in enumerate(txt_files):
+            guid = 0
+            for data_file in data_files:
+                txt_file = Path(data_file)
+                if txt_file.suffix != ".txt":
+                    continue
                 example = brat_parse_to_bigbio_kb(
                     parse_brat_file(txt_file)
                 )
                 example["id"] = str(guid)
                 yield guid, example
+                guid += 1
         else:
             raise ValueError(f"Invalid config: {self.config.name}")