Add data loader

dutch-snli.py

@@ -0,0 +1,62 @@
+import csv
+import os
+
+import datasets
+
+
+
+_DESCRIPTION = """\
+This is the Dutch version of the original SNLI dataset. The translation was performed using Google Translate. Original SNLI available at https://nlp.stanford.edu/projects/snli/
+"""
+
+
+class DutchSnli(datasets.GeneratorBasedBuilder):
+    """The Dutch-translated Stanford Natural Language Inference (SNLI) Corpus."""
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="plain_text",
+            version=datasets.Version("1.0.0", ""),
+            description="Plain text import of SNLI",
+        )
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "premise": datasets.Value("string"),
+                    "hypothesis": datasets.Value("string"),
+                    "label": datasets.features.ClassLabel(names=["entailment", "neutral", "contradiction"]),
+                }
+            ),
+            # No default supervised_keys (as we have to pass both premise
+            # and hypothesis as input).
+            supervised_keys=None,
+            homepage="",
+            citation="",
+        )
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager):
+        data_dir = dl_manager._base_path
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(data_dir, "test.tsv")}
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(data_dir, "train.tsv")}
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        """This function returns the examples in the raw (text) form."""
+        with open(filepath, encoding="utf-8") as f:
+            reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
+            for idx, row in enumerate(reader):
+                if row["label"] != '-':
+                    yield idx, {
+                        "premise": row["premise"],
+                        "hypothesis": row["hypothesis"],
+                        "label": row["label"],
+                    }