Upload 6 files

.gitattributes

@@ -52,3 +52,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+right.json filter=lfs diff=lfs merge=lfs -text

right.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7c0e39ce4c75a65e53882d17d3b819cc5cc63936db36dace13e739b61702f640
+size 19332906

semi-rel.py

@@ -0,0 +1,54 @@
+import os
+import datasets
+import pandas as pd
+
+
+class semiRelConfig(datasets.BuilderConfig):
+    def __init__(self, features, data_url, **kwargs):
+        super(semiRelConfig, self).__init__(**kwargs)
+        self.features = features
+        self.data_url = data_url
+
+
+class semiRel(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        semiRelConfig(
+            name="pairs",
+            features={
+                "ltable_id": datasets.Value("string"),
+                "rtable_id": datasets.Value("string"),
+                "label": datasets.Value("string"),
+            },
+            data_url="https://huggingface.co/datasets/matchbench/semi-Rel/resolve/main/",
+        ),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            features=datasets.Features(self.config.features)
+        )
+
+    def _split_generators(self, dl_manager):
+        if self.config.name == "pairs":
+            return [
+                datasets.SplitGenerator(
+                    name=split,
+                    gen_kwargs={
+                        "path_file": dl_manager.download_and_extract(
+                            os.path.join(self.config.data_url, f"{split}.csv")),
+                        "split": split,
+                    }
+                )
+                for split in ["train", "valid", "test"]
+            ]
+
+    def _generate_examples(self, path_file, split):
+        file = pd.read_csv(path_file)
+        for i, row in file.iterrows():
+            if split  in ['train', 'valid','test']:
+                yield i, {
+                    "ltable_id": row["ltable_id"],
+                    "rtable_id": row["rtable_id"],
+                    "label": row["label"],
+                }
+

test.csv

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train.csv

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