added raw text

AmericanStories.py

@@ -46,7 +46,7 @@ _FILE_DICT, _YEARS = make_year_file_splits()
 class CustomBuilderConfig(datasets.BuilderConfig):
     """BuilderConfig for AmericanStories dataset with different configurations."""
 
-    def __init__(self, year_list=None, **kwargs):
+    def __init__(self, year_list=None,features=["article_id", "newspaper_name", "edition", "date", "page", "headline", "byline", "article"], **kwargs):
         """
         BuilderConfig for AmericanStories dataset.
 
@@ -56,6 +56,7 @@ class CustomBuilderConfig(datasets.BuilderConfig):
         """
         super(CustomBuilderConfig, self).__init__(**kwargs)
         self.year_list = year_list
+        self.features = features
 
 
 class AmericanStories(datasets.GeneratorBasedBuilder):
@@ -67,13 +68,26 @@ class AmericanStories(datasets.GeneratorBasedBuilder):
         CustomBuilderConfig(
             name="all_years",
             version=VERSION,
-            description="All years in the dataset",
+            description="All years in the dataset"
         ),
         CustomBuilderConfig(
             name="subset_years",
             version=VERSION,
             description="Subset of years in the dataset",
+            year_list=["1774", "1804"]
+
+        ),
+        CustomBuilderConfig(
+            name="all_years_content_regions",
+            version=VERSION,
+            description="All years in the dataset",
+        ),
+        CustomBuilderConfig(
+            name="subset_years_content_regions",
+            version=VERSION,
+            description="Subset of years in the dataset",
             year_list=["1774", "1804"],
+
         )
     ]
     DEFAULT_CONFIG_NAME = "subset_years"
@@ -85,18 +99,27 @@ class AmericanStories(datasets.GeneratorBasedBuilder):
         Returns:
             datasets.DatasetInfo: The DatasetInfo object.
         """
-        features = datasets.Features(
-            {
-                "article_id": datasets.Value("string"),
-                "newspaper_name": datasets.Value("string"),
-                "edition": datasets.Value("string"),
-                "date": datasets.Value("string"),
-                "page": datasets.Value("string"),
-                "headline": datasets.Value("string"),
-                "byline": datasets.Value("string"),
-                "article": datasets.Value("string"),
-            }
-        )
+        if not self.config.name.endswith("content_regions"):
+            features = datasets.Features(
+                {
+                    "article_id": datasets.Value("string"),
+                    "newspaper_name": datasets.Value("string"),
+                    "edition": datasets.Value("string"),
+                    "date": datasets.Value("string"),
+                    "page": datasets.Value("string"),
+                    "headline": datasets.Value("string"),
+                    "byline": datasets.Value("string"),
+                    "article": datasets.Value("string"),
+
+
+                }
+            )
+        else:
+            features = datasets.Features(
+                {
+                    "raw_data_string": datasets.Value("string"),
+                }
+            )
 
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
@@ -138,44 +161,65 @@ class AmericanStories(datasets.GeneratorBasedBuilder):
                 gen_kwargs={
                     "year_dir": os.path.join(data_dir[year], "mnt", "122a7683-fa4b-45dd-9f13-b18cc4f4a187", "ca_rule_based_fa_clean", "faro_" + year),
                     "split": year,
+                    "associated": True if not self.config.name.endswith("content_regions") else False,
                 },
             ) for year in year_list
         ]
 
-    def _generate_examples(self, year_dir, split):
+    def _generate_examples(self, year_dir,split, associated):
         """
         Generates examples for the specified year and split.
 
         Args:
             year_dir (str): The directory path for the year.
-            split (str): The name of the split.
+            associated (bool): Whether or not the output should be contents associated into an "article" or raw contents.
 
         Yields:
             tuple: The key-value pair containing the example ID and the example data.
         """
-        for filepath in os.listdir(year_dir):
-            with open(os.path.join(year_dir, filepath), encoding="utf-8") as f:
-                try :
-                    data = json.load(f)
-                except:
-                    print("Error loading file: " + filepath)
-                    continue
-                if "lccn" in data.keys():
-                    scan_id = filepath.split('.')[0]
-                    scan_date = filepath.split("_")[0]
-                    scan_page = filepath.split("_")[1]
-                    scan_edition = filepath.split("_")[-2][8:]
-                    newspaper_name = data["lccn"]["title"]
-                    full_articles_in_data = data["full articles"]
-                    for article in full_articles_in_data:
-                        article_id = str(article["full_article_id"]) + "_" + scan_id
-                        yield article_id, {
-                            "article_id": article_id,
-                            "newspaper_name": newspaper_name,
-                            "edition": scan_edition,
-                            "date": scan_date,
-                            "page": scan_page,
-                            "headline": article["headline"],
-                            "byline": article["byline"],
-                            "article": article["article"],
-                        }
+        print("Associated: " + str(associated))
+        if associated:
+            for filepath in os.listdir(year_dir):
+                with open(os.path.join(year_dir, filepath), encoding="utf-8") as f:
+                    try :
+                        data = json.load(f)
+                    except:
+                        print("Error loading file: " + filepath)
+                        continue
+                    if "lccn" in data.keys():
+                        scan_id = filepath.split('.')[0]
+                        scan_date = filepath.split("_")[0]
+                        scan_page = filepath.split("_")[1]
+                        scan_edition = filepath.split("_")[-2][8:]
+                        newspaper_name = data["lccn"]["title"]
+                        full_articles_in_data = data["full articles"]
+                        for article in full_articles_in_data:
+                            article_id = str(article["full_article_id"]) + "_" + scan_id
+                            yield article_id, {
+                                "article_id": article_id,
+                                "newspaper_name": newspaper_name,
+                                "edition": scan_edition,
+                                "date": scan_date,
+                                "page": scan_page,
+                                "headline": article["headline"],
+                                "byline": article["byline"],
+                                "article": article["article"],
+                            }
+        else:
+            for filepath in os.listdir(year_dir):
+                with open(os.path.join(year_dir, filepath), encoding="utf-8") as f:
+                    try :
+                        data = json.load(f)
+                    except:
+                        print("Error loading file: " + filepath)
+                        continue
+                    ###Convert json to strng
+                    data=json.dumps(data)
+                    print((data))
+                    print(type(data))
+                    scan_id=filepath.split('.')[0]
+                    ##Yield the scan id and the raw data string
+                    yield scan_id, {
+                        "raw_data_string": str(data)
+                    }
+