feat: rerelem

rerelem.py

@@ -0,0 +1,62 @@
+"""ReRelEM dataset"""
+
+import datasets
+import pandas as pd
+
+_CITATION = """
+"""
+
+_DESCRIPTION = """
+"""
+_URLS = {
+    "train": "https://raw.githubusercontent.com/ruanchaves/rerelem/ad2eda398e974e15546251b10a34375dfa954edb/rerelem_train.csv",
+    "validation": "https://raw.githubusercontent.com/ruanchaves/rerelem/ad2eda398e974e15546251b10a34375dfa954edb/rerelem_val.csv",
+    "test": "https://raw.githubusercontent.com/ruanchaves/rerelem/ad2eda398e974e15546251b10a34375dfa954edb/rerelem_test.csv"
+}
+
+class ReRelEm(datasets.GeneratorBasedBuilder):
+
+    VERSION = datasets.Version("1.0.0")
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "docid": datasets.Value("string"),
+                    "sentence1": datasets.Value("string"),
+                    "sentence2": datasets.Value("string"),
+                    "label": datasets.Value("string"),
+                    "same_text": datasets.Value("bool"),
+                    }),
+            supervised_keys=None,
+            homepage="",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        downloaded_files = dl_manager.download(_URLS)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": downloaded_files["train"]
+                }
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": downloaded_files["validation"]
+                }
+            ),    
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": downloaded_files["test"]
+                }
+            )        
+        ]
+
+    def _generate_examples(self, filepath):
+        records = pd.read_csv(filepath).to_dict("records")
+        for idx, row in enumerate(records):
+            yield idx, row