Land_use data with invalid coordinates

I wonder whether there should be some rounding of decimals or clipping of data in the land_cover data, as there are polygons with points which are not valid latitude/longitude values (and selfishly it's causing issues with my workflow).

df = sql("select * from parquet.`s3a://overturemaps-us-west-2/release/2025-01-22.0/theme=base/type=land_cover/`")

spark.sql("DROP VIEW IF EXISTS raw_land_cover")

df.createOrReplaceTempView("raw_land_cover")

display(sql("""SELECT min(st_xmin(st_geomfromwkb(geometry))),
      min(st_ymin(st_geomfromwkb(geometry))),
      max(st_xmax(st_geomfromwkb(geometry))),
      max(st_ymax(st_geomfromwkb(geometry))) 
      FROM raw_land_cover"""))

Result is:

xmin = -180.0002
ymin = -80.5534937
xmax = 180.0002
ymax = 82.8592396

Thanks.