Normalize family/genus by UD version in metadata generation

- for UD < 2.15, split genus from legacy family strings like 'Family, Genus'

- for UD >= 2.15, keep explicit genus field from codes_and_flags unchanged

tools/02_generate_metadata.py

@@ -39,6 +39,44 @@ logging.basicConfig(
     datefmt='%Y-%m-%d %H:%M:%S'
 )
 
+GENUS_SEPARATED_FROM_UD_VERSION = (2, 15)
+
+
+def parse_ud_version(version: str) -> tuple[int, ...] | None:
+    """
+    Parse UD version strings like "2.14" or "2.15.1" into integer tuples.
+    Returns None if parsing fails (e.g. "latest").
+    """
+    try:
+        return tuple(int(part) for part in version.split("."))
+    except ValueError:
+        return None
+
+
+def normalize_codes_and_flags_entry(entry: dict, ud_version: str) -> dict:
+    """
+    Normalize family/genus fields from codes_and_flags YAML across UD versions.
+
+    Before UD 2.15, genus was often encoded in "family" as "Family, Genus".
+    From UD 2.15 onward, genus is expected as a dedicated "genus" field.
+    """
+    normalized = dict(entry)
+    version_tuple = parse_ud_version(ud_version)
+    if version_tuple is None or version_tuple >= GENUS_SEPARATED_FROM_UD_VERSION:
+        return normalized
+
+    family = normalized.get("family")
+    genus = normalized.get("genus")
+    if isinstance(family, str) and (not genus) and "," in family:
+        family_part, genus_part = family.split(",", 1)
+        normalized["family"] = family_part.strip()
+        genus_part = genus_part.strip()
+        if genus_part:
+            normalized["genus"] = genus_part
+
+    return normalized
+
+
 def extract_metadata(file_path) -> {}:
     """
     Collect relevant metadata from UD directories.
@@ -209,7 +247,10 @@ def traverse_directory(directory):
             language = item[3:].rsplit("-", 1)[0].replace("_", " ")
             results[item]["language"] = language
             #print(f"item: {item}, language: {language}")
-            results[item].update(codes_and_flags[language])
+            normalized_codes_entry = normalize_codes_and_flags_entry(
+                codes_and_flags[language], UD_VER
+            )
+            results[item].update(normalized_codes_entry)
 
             # 'Read' the corpus name from the dirname (UD_Abaza-ATB/) and
             # construct a short name for the data set: