Create ptparl.py

ptparl.py

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+"""ptparl dataset."""
+
+
+import xml.etree.ElementTree as ET
+
+import datasets
+import csv
+
+_DESCRIPTION = """
+The PTPARL dataset is a dataset containing 5713 interventions in the Portuguese parliament.
+"""
+
+_HOMEPAGE = "MIT"
+
+_LICENSE = ""
+
+_URL = "https://gist.githubusercontent.com/luist18/e3730636962a117ef0eb9e0659f1cba8/raw/5e55a95aaec8261c7690c7132037121d99c39279/pt_parl.csv"
+
+
+group_map = {
+    "PS": 0,
+    "CDS-PP": 1,
+    "PCP": 2,
+    "BE": 3,
+    "PSD": 4,
+    "PEV": 5,
+    "PAN": 6,
+    "CH": 7,
+    "IL": 8,
+    "L": 9,
+}
+
+wing_map = {
+    "LEFT": 0,
+    "LEAN_LEFT": 1,
+    "CENTER": 2,
+    "LEAN_RIGHT": 3,
+    "RIGHT": 4,
+}
+
+
+class PTPARL(datasets.GeneratorBasedBuilder):
+    """PTPARL dataset."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="full",
+            version=VERSION,
+            description="Full dataset",
+        ),
+    ]
+
+    DEFAULT_CONFIG_NAME = "full"
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "text": datasets.Value("string"),
+                "group": datasets.features.ClassLabel(
+                    names=[
+                        "PS",
+                        "CDS-PP",
+                        "PCP",
+                        "BE",
+                        "PSD",
+                        "PEV",
+                        "PAN",
+                        "CH",
+                        "IL",
+                        "L",
+                    ]
+                ),
+                "wing": datasets.features.ClassLabel(
+                    names=[["CENTER", "LEAN_RIGHT", "LEFT", "LEAN_LEFT", "RIGHT"]]
+                ),
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=None,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+
+        data_file = dl_manager.download_and_extract(_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": data_file,
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+
+        id_ = 0
+
+        with open(filepath, encoding="utf-8") as tsv_file:
+            reader = csv.reader(tsv_file, delimiter="\t")
+            for id_, row in enumerate(reader):
+                if id_ == 0:
+                    continue
+
+                yield id_, {
+                    "text": row[0],
+                    "group": group_map[row[1]],
+                    "wing": wing_map[row[2]],
+                }