Update naab-raw.py

naab-raw.py

@@ -21,9 +21,17 @@ import os
 import datasets
 
 
-# TODO: Add BibTeX citation
-# Find for instance the citation on arxiv or on the dataset repo/website
 _CITATION = """\
+@misc{https://doi.org/10.48550/arxiv.2208.13486,
+  doi = {10.48550/ARXIV.2208.13486},
+  url = {https://arxiv.org/abs/2208.13486},
+  author = {Sabouri, Sadra and Rahmati, Elnaz and Gooran, Soroush and Sameti, Hossein},
+  keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
+  title = {naab: A ready-to-use plug-and-play corpus for Farsi},
+  publisher = {arXiv},
+  year = {2022},
+  copyright = {Creative Commons Attribution Non Commercial Share Alike 4.0 International}
+}
 """
 
 # You can copy an official description
@@ -33,7 +41,6 @@ Huge corpora of textual data are always known to be a crucial need for training
 
 _HOMEPAGE = "https://huggingface.co/datasets/SLPL/naab"
 
-# TODO: ?
 _LICENSE = "mit"
 
 _BASE_URL = "https://huggingface.co/datasets/SLPL/naab/resolve/main/data/"
@@ -93,17 +100,18 @@ class NaabRawConfig(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "filepath": downloaded_files,
+                    "filepaths": downloaded_files,
                     "split": "train"
                 }
             )
         ]
  
 
-    def _generate_examples(self, filepath, split):
-        with open(filepath, encoding="utf-8") as f:
-            for key, row in enumerate(f):
-                if row.strip():
-                    yield idx, {"text": row}
-                else:
-                    yield idx, {"text": ""}
+    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": ""}