Upload guiacat.py

guiacat.py

@@ -0,0 +1,104 @@
+# Loading script for the ReviewsFinder dataset.
+
+
+import json
+import csv
+
+import datasets
+
+
+logger = datasets.logging.get_logger(__name__)
+
+
+_CITATION = """ """
+
+
+_DESCRIPTION = """ guiacat dataset"""
+
+
+_HOMEPAGE = """ """
+
+
+
+_URL = "/gpfs/projects/bsc88/corpora/guiacat/v1/s1/data_splits/"
+_TRAINING_FILE = "train.csv"
+_DEV_FILE = "dev.csv"
+_TEST_FILE = "test.csv"
+
+
+class GuiacatConfig(datasets.BuilderConfig):
+    """ Builder config for the reviews_finder dataset """
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for reviews_finder.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(GuiacatConfig, self).__init__(**kwargs)
+
+
+class Guiacat(datasets.GeneratorBasedBuilder):
+    """ ReviewsFinder Dataset """
+
+
+    BUILDER_CONFIGS = [
+        GuiacatConfig(
+            name="Guiacat",
+            version=datasets.Version("1.0.0"),
+            description="Guiacat dataset",
+        ),
+    ]
+
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                    "label": datasets.features.ClassLabel
+                        (names=
+                    [
+                        "molt bo",
+                        "bo",
+                        "regular",
+                        "dolent",
+                        "molt dolent"
+                    ]
+                    ),
+                }
+            ),
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+                
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        urls_to_download = {
+            "train": f"{_URL}{_TRAINING_FILE}",
+            "dev": f"{_URL}{_DEV_FILE}",
+            "test": f"{_URL}{_TEST_FILE}",
+        }
+        downloaded_files = dl_manager.download_and_extract(urls_to_download)
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
+        ]
+
+
+    def _generate_examples(self, filepath):
+        """This function returns the examples in the raw (text) form."""
+        logger.info("generating examples from = %s", filepath)
+        with open(filepath) as f:
+            read = csv.reader(f)
+            data = [item for item in read]
+            for id_, article in enumerate(data): # ["data"] , perquè hi havia això?
+                text = article[5]
+                label = article[6]
+                yield id_, {
+                    "text": text,
+                    "label": label,
+                }