Refactor loading script (#6)

- Refactor loading script (8741701b871316fd66a147cea3af4e381cf0f361)

samanantar.py

@@ -14,9 +14,7 @@
 # limitations under the License.
 """Samanantar dataset."""
 
-import re
-
-import pandas as pd
+from pathlib import Path
 
 import datasets
 
@@ -78,25 +76,19 @@ class Samanantar(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         urls = _URLS[str(self.config.version)]
-        archive = dl_manager.download_and_extract(urls)
+        data_dir = dl_manager.download_and_extract(urls)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "paths": dl_manager.iter_files([archive]),
+                    "data_dir": (Path(data_dir) / "v2" / f"en-{self.config.language}"),
                 },
             ),
         ]
 
-    def _generate_examples(self, paths):
-        id_ = 0
-        for path in paths:
-            if f"/en-{self.config.language}/train.{self.config.language}" in path:
-                with open(path, encoding="utf-8") as config_language, \
-                    open(path.replace(f"train.{self.config.language}", "train.en"), encoding="utf-8") as en:
-
-                    for line_src, line_tgt in zip(en, config_language):
-                        yield id_, {"idx": id_ ,"src": line_src.strip(), "tgt": line_tgt.strip()}
-                        id_ += 1
-            
-                break # to prevent it from getting repeated examples (it seems the dataset gets repeated in en-te folder)
+    def _generate_examples(self, data_dir):
+        src_path = data_dir / "train.en"
+        tgt_path = data_dir / f"train.{self.config.language}"
+        with src_path.open(encoding="utf-8") as src_file, tgt_path.open(encoding="utf-8") as tgt_file:
+            for idx, (src_line, tgt_line) in enumerate(zip(src_file, tgt_file)):
+                yield idx, {"idx": idx, "src": src_line.strip(), "tgt": tgt_line.strip()}