add dataset loading script

pile_of_law.py

@@ -0,0 +1,87 @@
+"""C4 dataset based on Common Crawl."""
+
+
+import gzip
+import json
+
+import datasets
+try:
+    import lzma as xz
+except ImportError:
+    import pylzma as xz
+
+
+logger = datasets.logging.get_logger(__name__)
+
+
+_DESCRIPTION = """\
+A living legal dataset.
+"""
+
+_CITATION = """
+TODO
+"""
+
+_URL = ""
+
+_VARIANTS = ["all", "r_legaladvice"]
+
+_DATA_URL = {
+    "r_legaladvice" : 
+    {
+        "train" : "https://huggingface.co/datasets/pile-of-law/pile-of-law/resolve/main/data/train.r_legaldvice.jsonl.xz",
+        "validation" : "https://huggingface.co/datasets/pile-of-law/pile-of-law/resolve/main/data/train.r_legaldvice.jsonl.xz"
+    }
+}
+
+
+class PileOfLaw(datasets.GeneratorBasedBuilder):
+    """TODO"""
+
+    BUILDER_CONFIGS = [datasets.BuilderConfig(name) for name in _VARIANTS]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                    "timestamp": datasets.Value("string"),
+                    "url": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_URL,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        data_urls = {}
+        if self.config.name == "all":
+            data_sources = list(_DATA_URL.keys())
+        else:
+            data_sources = [self.config.name]
+        for split in ["train", "validation"]:
+            data_urls[split] = [
+                _DATA_URL[source][split] for source in data_sources
+            ]
+        train_downloaded_files = dl_manager.download(data_urls["train"])
+        validation_downloaded_files = dl_manager.download(data_urls["validation"])
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": train_downloaded_files}),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION, gen_kwargs={"filepaths": validation_downloaded_files}
+            ),
+        ]
+
+    def _generate_examples(self, filepaths):
+        """This function returns the examples in the raw (text) form by iterating on all the files."""
+        id_ = 0
+        for filepath in filepaths:
+            logger.info("generating examples from = %s", filepath)
+            with xz.open(filepath, "rt", encoding="utf-8") as f:
+                for line in f:
+                    if line:
+                        example = json.loads(line)
+                        yield id_, example
+                        id_ += 1