Update BabyLM.py

BabyLM.py

@@ -3,15 +3,27 @@ import datasets
 from typing import List
 
 _DESCRIPTION = """\
-Dataset for the shared baby language modeling task.
+Dataset for the BabyLM Round2: French, German, Chinese & Japanese Small-Scale LMs
 The goal is to train a language model from scratch on this data which represents
-roughly the amount of text and speech data a young child observes.  
+roughly the amount of text and speech data a young child observes.
+Author– Suchir Salhan
 """
 
-_HOMEPAGE = "https://babylm.github.io"
 
 filenames = [
-    "aochildes.txt", 
+    "aochildes.txt",
+    "aochinese.txt",
+    "aochinese_dev.txt",
+    "aochinese_test.txt",
+    "aofrench.txt",
+    "aofrench_dev.txt",
+    "aofrench_test.txt",
+    "aogerman.txt",
+    "aogerman_dev.txt",
+    "aogerman_test.txt",
+    "aojapanese.txt",
+    "aojapanese_dev.txt",
+    "aojapanese_test.txt",
     "bnc_spoken.txt",
     "cbt.txt",
     "children_stories.txt",
@@ -22,6 +34,9 @@ filenames = [
     "switchboard.txt",
     "wikipedia.txt"
 ]
+
+#Suchir Salhan– addition of French, German, Japanese and Chinese dataset BUILDER_CONFIGS
+
 class BabyLM(datasets.GeneratorBasedBuilder):
     
     BUILDER_CONFIGS = [
@@ -32,7 +47,7 @@ class BabyLM(datasets.GeneratorBasedBuilder):
         ),
         datasets.BuilderConfig(
             name="strict_small",
-            description="Cleaned version of the dataset, 10M words, unsupervised POS tags",
+            description="Cleaned version of the dataset, 10M words, no POS tags",
             version="1.0.0",
         ),
         datasets.BuilderConfig(
@@ -65,10 +80,53 @@ class BabyLM(datasets.GeneratorBasedBuilder):
             description="Cleaned version of the dataset, 100M words, gold POS tags",
             version="1.0.0",
         ),
+        datasets.BuilderConfig(
+            name="fr_lang_strict_small",  #FRENCH
+            description="FRENCH Cleaned version of the dataset, 10M words, unsupervised POS tags",
+            version="1.0.0",
+        ),
+         datasets.BuilderConfig(
+            name="ja_lang_strict_small",
+            description="GERMAN Cleaned version of the dataset, 10M words, unsupervised POS tags",
+            version="1.0.0",
+        ),
+         datasets.BuilderConfig(
+            name="zh_lang_strict_small",
+            description="JAPANESE Cleaned version of the dataset, 10M words, unsupervised POS tags",
+            version="1.0.0",
+        ),
+         datasets.BuilderConfig(
+            name="de_lang_strict_small",
+            description="GERMAN Cleaned version of the dataset, 10M words, unsupervised POS tags",
+            version="1.0.0",
+        ),
+        
+        datasets.BuilderConfig(
+            name="fr_lang_strict_gold",
+            description="FRENCH Cleaned version of the dataset, 100M words, gold POS tags",
+            version="1.0.0",
+        ),
+        datasets.BuilderConfig(
+            name="ja_lang_strict_gold",
+            description="JAPANESE Cleaned version of the dataset, 100M words, gold POS tags",
+            version="1.0.0",
+        ),
+                datasets.BuilderConfig(
+            name="de_lang_strict_gold",
+            description="GERMAN Cleaned version of the dataset, 100M words, gold POS tags",
+            version="1.0.0",
+        ),
+        datasets.BuilderConfig(
+            name="zh_lang_strict_gold",
+            description="CHINESE Cleaned version of the dataset, 100M words, gold POS tags",
+            version="1.0.0",
+        ),
     ]
 
     DEFAULT_CONFIG_NAME = "strict_small"
 
+
+
     def _info(self):
             features = datasets.Features(
                 {
@@ -85,25 +143,61 @@ class BabyLM(datasets.GeneratorBasedBuilder):
             )
 
 
+#Suchir Salhan– addition of French, German, Japanese and Chinese datasets
+
+
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
         """ 
         Returns data for different splits 
         """
 
-        if "strict_small" in self.config.name:
+        if "strict_small" in self.config.name: #default settings – English
             train_data_dir = "10M"
+        elif "fr_lang_strict_small" in self.config.name:
+            train_data_dir = "FR"
+        elif "de_lang_strict_small" in self.config.name:
+            train_data_dir = "DE"
+        elif "zh_lang_strict_small" in self.config.name:
+            train_data_dir = "ZH"
+                elif "ja_lang_strict_small" in self.config.name:
+            train_data_dir = "JA"
         else: 
             train_data_dir = "100M"
 
-        folder = 'original_tagged' if 'original' in self.config.name else 'clean_tagged'
-        folder = folder + '_gold' if 'gold' in self.config.name else folder
-        
+        folder = 'original_tagged' if 'original' in self.config.name else 'clean_tagged' #
+        folder = folder + '_gold' if 'gold' in self.config.name else folder #gold tags for french, german, japanese and english
+
+
+        #modified urls to download
+
         urls_to_download = {
-            "train": [f"{folder}/{train_data_dir}/{fn}" for fn in filenames],
-            "dev": [f"{folder}/dev/{fn}" for fn in filenames],
-            "test": [f"{folder}/test/{fn}" for fn in filenames]
-        } 
+            "train": [],
+            "dev": [],
+            "test": []
+            }
 
+        if 'fr_lang_strict_small' in self.config.name:
+            urls_to_download["train"].append(f"{folder}/{train_data_dir}/aofrench.txt")
+            urls_to_download["dev"].append(f"{folder}/dev/aofrench_dev.txt")
+            urls_to_download["test"].append(f"{folder}/test/aofrench_test.txt")
+        elif 'de_lang_strict_small' in self.config.name:
+            urls_to_download["train"].append(f"{folder}/{train_data_dir}/aogerman.txt")
+            urls_to_download["dev"].append(f"{folder}/dev/aogerman_dev.txt")
+            urls_to_download["test"].append(f"{folder}/test/aogerman_test.txt")
+        elif 'zh_lang_strict_small' in self.config.name:
+            urls_to_download["train"].append(f"{folder}/{train_data_dir}/aochinese.txt")
+            urls_to_download["dev"].append(f"{folder}/dev/aochinese_dev.txt")
+            urls_to_download["test"].append(f"{folder}/test/aochinese_test.txt")
+        elif 'ja_lang_strict_small' in self.config.name:
+            urls_to_download["train"].append(f"{folder}/{train_data_dir}/aojapanese.txt")
+            urls_to_download["dev"].append(f"{folder}/dev/aojapanese_dev.txt")
+            urls_to_download["test"].append(f"{folder}/test/aojapanese_test.txt")
+        else:
+            urls_to_download["train"] = [f"{folder}/{train_data_dir}/{fn}" for fn in filenames]
+            urls_to_download["dev"] = [f"{folder}/dev/{fn}" for fn in filenames]
+            urls_to_download["test"] = [f"{folder}/test/{fn}" for fn in filenames]
+
+        
         downloaded_files = dl_manager.download_and_extract(urls_to_download)
 
         return [
@@ -128,6 +222,7 @@ class BabyLM(datasets.GeneratorBasedBuilder):
             ),
         ]
 
+
      # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_examples(self, split, filepaths):
         # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
@@ -155,3 +250,4 @@ class BabyLM(datasets.GeneratorBasedBuilder):
                     else:
                         text = row
                         is_tags = True
+