diff --git a/src/unihan_etl/validator.py b/src/unihan_etl/validator.py
new file mode 100644
index 00000000..44595cf9
--- /dev/null
+++ b/src/unihan_etl/validator.py
@@ -0,0 +1,71 @@
+"""Experimental pydantic models for unihan data."""
+import typing as t
+
+import pydantic
+
+from unihan_etl.expansion import expand_kTGHZ2013
+
+
+class UCNBaseModel(pydantic.BaseModel):
+    """Core model for UCN data."""
+
+    ucn: str
+
+
+class kTGHZ2013Location(pydantic.BaseModel):
+    """Core model for location."""
+
+    page: int
+    position: int
+    entry_type: int = pydantic.Field(
+        description=(
+            "0 for a main entry and greater than 0 for a parenthesized or bracketed "
+            + "variant of the main entry"
+        )
+    )
+
+
+class kTGHZ2013Reading(pydantic.BaseModel):
+    """kTGHZ2013 model."""
+
+    reading: str
+    locations: t.List[kTGHZ2013Location]
+
+
+class kTGHZ2013(UCNBaseModel):
+    """kTGHZ2013 model."""
+
+    readings: t.List[kTGHZ2013Reading]
+
+    model_config = pydantic.ConfigDict(
+        validate_assignment=True,
+        arbitrary_types_allowed=True,
+    )
+
+    @classmethod
+    def from_string(cls, value: str) -> "kTGHZ2013":
+        """Accept csv valdation from UNIHAN."""
+        if isinstance(value, str):
+            ucn, field, val = value.split("\t")
+            outs = expand_kTGHZ2013(val.split(" "))
+
+            return cls(
+                ucn=ucn,
+                readings=[
+                    kTGHZ2013Reading(
+                        reading=out["reading"],
+                        locations=[
+                            kTGHZ2013Location(
+                                page=loc["page"],
+                                position=loc["position"],
+                                entry_type=loc["entry_type"],
+                            )
+                            for loc in out["locations"]
+                        ],
+                    )
+                    for out in outs
+                ],
+            )
+        elif isinstance(value, dict):
+            return pydantic.parse_obj_as(cls, value)
+        raise pydantic.ValidationError("Invalid input for kTGHZ2013 model.")  # noqa: TRY003
diff --git a/tests/test_validator.py b/tests/test_validator.py
new file mode 100644
index 00000000..39d86abf
--- /dev/null
+++ b/tests/test_validator.py
@@ -0,0 +1,27 @@
+"""Test expansion of multi-value fields in UNIHAN."""
+import typing as t
+
+from unihan_etl import validator
+
+if t.TYPE_CHECKING:
+    pass
+
+
+def test_kTGHZ2013() -> None:
+    """Example of kTGHZ2013 being parsed via pydantic."""
+    model = validator.kTGHZ2013.from_string("U+3447	kTGHZ2013	482.140:zhòu")
+    assert model.ucn == "U+3447"
+
+    model = validator.kTGHZ2013.from_string(
+        "U+4E07	kTGHZ2013	256.090:mò 379.160:wàn"
+    )
+    assert model.ucn == "U+4E07"
+    assert model.readings[0].reading == "mò"
+    assert model.readings[1].reading == "wàn"
+    assert model.readings[1].locations[0] == validator.kTGHZ2013Location(
+        page=379,
+        position=16,
+        entry_type=0,
+    )
+
+    print(f"\n{model}\n")