diff --git a/python/python/lance/dataset.py b/python/python/lance/dataset.py
index 396a0d02ae2..2c5677ec683 100644
--- a/python/python/lance/dataset.py
+++ b/python/python/lance/dataset.py
@@ -2337,7 +2337,6 @@ def create_scalar_index(
             Literal["BITMAP"],
             Literal["LABEL_LIST"],
             Literal["INVERTED"],
-            Literal["FTS"],
             Literal["NGRAM"],
             Literal["ZONEMAP"],
             Literal["BLOOMFILTER"],
@@ -2406,7 +2405,7 @@ def create_scalar_index(
           called zones and stores summary statistics for each zone (min, max,
           null_count, nan_count, fragment_id, local_row_offset). It's very small but
           only effective if the column is at least approximately in sorted order.
-        * ``FTS/INVERTED``. It is used to index document columns. This index
+        * ``INVERTED``. It is used to index document columns. This index
           can conduct full-text searches. For example, a column that contains any word
           of query string "hello world". The results will be ranked by BM25.
         * ``BLOOMFILTER``. This inexact index uses a bloom filter.  It is small
@@ -2426,8 +2425,8 @@ def create_scalar_index(
             or string column.
         index_type : str
             The type of the index.  One of ``"BTREE"``, ``"BITMAP"``,
-            ``"LABEL_LIST"``, ``"NGRAM"``, ``"ZONEMAP"``, ``"FTS"``,
-            ``"INVERTED"`` or ``"BLOOMFILTER"``.
+            ``"LABEL_LIST"``, ``"NGRAM"``, ``"ZONEMAP"``, ``"INVERTED"``, or
+            ``"BLOOMFILTER"``.
         name : str, optional
             The index name. If not provided, it will be generated from the
             column name.
@@ -2456,8 +2455,8 @@ def create_scalar_index(
             It won't impact the performance of non-phrase queries even if it is set to
             True.
         base_tokenizer: str, default "simple"
-            This is for the ``INVERTED`` index. The base tokenizer to use. The value
-            can be:
+            This is for the ``INVERTED`` index. The base tokenizer to use. The
+            value can be:
             * "simple": splits tokens on whitespace and punctuation.
             * "whitespace": splits tokens on whitespace.
             * "raw": no tokenization.
@@ -2548,7 +2547,7 @@ def create_scalar_index(
                 raise NotImplementedError(
                     (
                         'Only "BTREE", "BITMAP", "NGRAM", "ZONEMAP", "LABEL_LIST", '
-                        'or "INVERTED" or "BLOOMFILTER" are supported for '
+                        '"INVERTED", or "BLOOMFILTER" are supported for '
                         f"scalar columns.  Received {index_type}",
                     )
                 )
@@ -2581,7 +2580,7 @@ def create_scalar_index(
                     field_type
                 ):
                     raise TypeError(f"NGRAM index column {column} must be a string")
-            elif index_type in ["INVERTED", "FTS"]:
+            elif index_type in ["INVERTED"]:
                 value_type = field_type
                 if pa.types.is_list(field_type) or pa.types.is_large_list(field_type):
                     value_type = field_type.value_type