Update naab-raw.py

naab-raw.py

@@ -47,9 +47,6 @@ _BASE_URL = "https://huggingface.co/datasets/SLPL/naab/resolve/main/data/"
 _CORPUS_URLS = {
     "CC-fa": "https://storage.googleapis.com/danielk-files/farsi-text/merged_files/commoncrawl_fa_merged.txt",
 }
-_URLS = {
-    "train": list(_CORPUS_URLS.values()),
-}
 VERSION = datasets.Version("1.0.0")
 
 
@@ -73,6 +70,10 @@ class NaabRawConfig(datasets.GeneratorBasedBuilder):
           version=VERSION,
           description=_DESCRIPTION)
     ]
+    BUILDER_CONFIGS.extend([NaabRawConfig(
+              name=key,
+              version=VERSION,
+              description=_DESCRIPTION) for key in _CORPUS_URLS.keys()])
     BUILDER_CONFIG_CLASS = NaabRawConfig
 
     DEFAULT_CONFIG_NAME = "all"
@@ -91,27 +92,49 @@ class NaabRawConfig(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        data_urls = {
-            "train": _URLS["train"]
-        }
-        
-        downloaded_files = dl_manager.download(data_urls["train"])
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepaths": downloaded_files,
-                    "split": "train"
-                }
-            )
-        ]
+        if self.config.name == "all":
+            data_urls = {
+                "train": list(_CORPUS_URLS.values())
+            }
+            downloaded_files = dl_manager.download(data_urls["train"])
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    gen_kwargs={
+                        "filepaths": downloaded_files,
+                        "split": "train"
+                    }
+                )
+            ]
+        else:
+            data_urls = {
+                "train": _CORPUS_URLS[self.config.name]
+            }
+            downloaded_files = dl_manager.download(data_urls["train"])
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    gen_kwargs={
+                        "filepath": downloaded_files,
+                        "split": "train"
+                    }
+                )
+            ]
  
 
     def _generate_examples(self, filepaths, split):
-        for filepath in filepaths:
-            with open(filepath, encoding="utf-8") as f:
-                for key, row in enumerate(f):
-                    if row.strip():
-                        yield key, {"text": row}
-                    else:
-                        yield key, {"text": ""}
+        if self.config.name == "all":
+            for filepath in filepaths:
+                with open(filepath, encoding="utf-8") as f:
+                    for key, row in enumerate(f):
+                        if row.strip():
+                            yield key, {"text": row}
+                        else:
+                            yield key, {"text": ""}
+        else:
+            with open(filepaths, encoding="utf-8") as f:
+                    for key, row in enumerate(f):
+                        if row.strip():
+                            yield key, {"text": row}
+                        else:
+                            yield key, {"text": ""}