init, helm version

ms_marco.py

@@ -0,0 +1,57 @@
+import datasets
+import os
+import json
+
+
+_CITATION = """
+
+"""
+
+_DESCRIPTION = """
+
+"""
+
+class Builder(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name=name, version=datasets.Version("1.0.0"), description=_DESCRIPTION)
+            for name in ["regular", "trec"]
+        ]
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "text": datasets.Value("string"),
+                "references": datasets.Sequence(datasets.Value("string")),
+                "golds": datasets.Sequence(datasets.Value("string")),
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage="",
+            license="",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        train_json = dl_manager.download(os.path.join(self.config.name, "train.jsonl"))
+        valid_json = dl_manager.download(os.path.join(self.config.name, "valid.jsonl"))
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"path": train_json},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"path": valid_json},
+            ),
+        ]
+
+    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
+    def _generate_examples(self, path):
+        with open(path, encoding="utf-8") as f:
+            for key, row in enumerate(f):
+                yield key, json.loads(row)