fix: upgrade to modern loading script for dataset viewer

dataset.py

@@ -0,0 +1,106 @@
+# Config file by Simon Hengchen, https://hengchen.net
+import os
+import gzip
+import datasets
+
+logger = datasets.logging.get_logger(__name__)
+
+
+_DESCRIPTION = """
+This is a version of the Kubhist 2 dataset created, curated and made available by Språkbanken Text (SBX) at the University of Gothenburg (Sweden) under the CC BY 4.0 license. 
+This is a a corpus of OCRed newspapers from Sweden spanning the 1640s to the 1900s.
+The original data is available with many types of annotation in XML at https://spraakbanken.gu.se/en/resources/kubhist2. 
+A good description of the data is available in this blog entry by Dana Dannélls: https://spraakbanken.gu.se/blogg/index.php/2019/09/15/the-kubhist-corpus-of-swedish-newspapers/
+
+In a nutshell, this hugginface dataset version offers:
+- only the OCRed text
+- available in decadal subsets
+
+License is CC BY 4.0 with attribution.
+"""
+
+_HOMEPAGE = "https://github.com/iguanodon-ai/kubhist2"
+_LICENSE = "CC BY 4.0"
+
+_BASE_DIR = "text"
+
+# Use relative paths; Hugging Face viewer runs in a sandbox
+_URLS = {'1640': os.path.join(_BASE_DIR, '1640/1640.txt.gz'),
+        '1650': os.path.join(_BASE_DIR, '1650/1650.txt.gz'),
+        '1660': os.path.join(_BASE_DIR, '1660/1660.txt.gz'),
+        '1670': os.path.join(_BASE_DIR, '1670/1670.txt.gz'),
+        '1680': os.path.join(_BASE_DIR, '1680/1680.txt.gz'),
+        '1690': os.path.join(_BASE_DIR, '1690/1690.txt.gz'),
+        '1700': os.path.join(_BASE_DIR, '1700/1700.txt.gz'),
+        '1710': os.path.join(_BASE_DIR, '1710/1710.txt.gz'),
+        '1720': os.path.join(_BASE_DIR, '1720/1720.txt.gz'),
+        '1730': os.path.join(_BASE_DIR, '1730/1730.txt.gz'),
+        '1740': os.path.join(_BASE_DIR, '1740/1740.txt.gz'),
+        '1750': os.path.join(_BASE_DIR, '1750/1750.txt.gz'),
+        '1760': os.path.join(_BASE_DIR, '1760/1760.txt.gz'),
+        '1770': os.path.join(_BASE_DIR, '1770/1770.txt.gz'),
+        '1780': os.path.join(_BASE_DIR, '1780/1780.txt.gz'),
+        '1790': os.path.join(_BASE_DIR, '1790/1790.txt.gz'),
+        '1800': os.path.join(_BASE_DIR, '1800/1800.txt.gz'),
+        '1810': os.path.join(_BASE_DIR, '1810/1810.txt.gz'),
+        '1820': os.path.join(_BASE_DIR, '1820/1820.txt.gz'),
+        '1830': os.path.join(_BASE_DIR, '1830/1830.txt.gz'),
+        '1840': os.path.join(_BASE_DIR, '1840/1840.txt.gz'),
+        '1850': os.path.join(_BASE_DIR, '1850/1850.txt.gz'),
+        '1860': os.path.join(_BASE_DIR, '1860/1860.txt.gz'),
+        '1870': os.path.join(_BASE_DIR, '1870/1870.txt.gz'),
+        '1880': os.path.join(_BASE_DIR, '1880/1880.txt.gz'),
+        '1890': os.path.join(_BASE_DIR, '1890/1890.txt.gz'),
+        '1900': os.path.join(_BASE_DIR, '1900/1900.txt.gz'),
+        'all': os.path.join(_BASE_DIR, 'all/all.txt.gz'),
+        }
+
+
+class Kubhist2Config(datasets.BuilderConfig):
+    def __init__(self, period="all", **kwargs):
+        if str(period) not in _URLS:
+            self.period = "all"
+        else:
+            self.period = str(period)
+        super().__init__(**kwargs)
+
+
+class Kubhist2(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIG_CLASS = Kubhist2Config
+
+    BUILDER_CONFIGS = [
+        Kubhist2Config(
+            name=key,
+            version=datasets.Version("1.0.0"),
+            description=f"Kubhist2: {key}",
+            period=key
+        )
+        for key in _URLS
+    ]
+
+    DEFAULT_CONFIG_NAME = "all"
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features({
+                "text": datasets.Value("string"),
+            }),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        # Use `manual_dir` so the user can run `load_dataset(..., data_dir="path")`
+        data_path = os.path.join(dl_manager.manual_dir, _URLS[self.config.period])
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_path}),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields lines from the compressed .txt.gz file as individual examples."""
+        with gzip.open(filepath, "rt", encoding="utf-8") as f:
+            for i, line in enumerate(f):
+                yield i, {"text": line.strip()}