Rename dataset.yaml to msvamp_it.py

dataset.yaml

@@ -1,8 +0,0 @@
-- name: msvamp_en
-  type: csv
-  args:
-    path: msvamp_en.csv
-- name: msvamp_it
-  type: csv
-  args:
-    path: msvamp_it.csv

msvamp_it.py

@@ -0,0 +1,79 @@
+import csv
+import datasets
+
+
+
+
+_DESCRIPTION = """\
+Multilingual Simple Variations on Arithmetic Math word Problems (MSVAMP).
+
+The same 1000 problems from [MSVAMP](https://arxiv.org/pdf/2310.20246) are each translated via human annotators in Italian.
+
+You can find the input and targets in Italian and English as `.csv` files.
+"""
+
+_HOMEPAGE = "https://github.com/lranaldii/italian_arithmetic_reasoning"
+
+_LICENSE = "CC BY SA 4.0"
+
+_BASE_URL = "msvamp_{lang}.tsv"
+
+_LANG = ["it","en"]
+
+
+class MSVAMP(datasets.GeneratorBasedBuilder):
+    """MSVAMP"""
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name=lang,
+            description="MSVAMP {lang} set",
+            version=datasets.Version("1.0.0"),
+        )
+        for lang in _LANG
+    ]
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "question": datasets.Value("string"),
+                "answer_number": datasets.Value("int32"),
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        name = self.config.name
+
+        filepaths = dl_manager.download_and_extract(
+            {
+                datasets.Split.TEST: _BASE_URL.format(lang=name),
+            }
+        )
+
+        return [
+            datasets.SplitGenerator(
+                name=split,
+                gen_kwargs={"filepath": path},
+            )
+            for split, path in filepaths.items()
+        ]
+
+    def _generate_examples(self, filepath):
+            with open(filepath, encoding="utf-8") as csv_file:
+                csv_reader = csv.reader(
+                    csv_file,
+                    quotechar='"',
+                    delimiter="\t",
+                )
+                for key, row in enumerate(csv_reader):
+                    yield key, {
+                        "question": row[0],
+                        "answer_number": int(row[1].replace(",", "")),
+                    }