Spark TSV文件和不正确的column spit

我有很多行的TSV文件。很多行都运行正常，但我有使用以下行的问题：

tt7841930 tvEpisode "Stop and Hear the Cicadas/Cold-Blooded "Stop and Hear the Cicadas/Cold-Blooded 0 2018 N 24 Animation,Family
我使用Spark和Scala将文件加载到DataFrame中：

val titleBasicsDf = spark.read
.format("org.apache.spark.csv")
.option("header", true)
.option("inferSchema", true)
.option("delimiter", " ")
.csv("title.basics.tsv.gz")
结果我收到：

如您所见，该行中的以下数据：

"Stop and Hear the Cicadas/Cold-Blooded "Stop and Hear the Cicadas/Cold-Blooded
没有正确地分为两个不同的值primaryTitle和originalTitle列，并primaryTitle包含它们：

{
"runtimeMinutes":"Animation,Family",
"tconst":"tt7841930",
"seasonNumber":"6",
"titleType":"tvEpisode",
"averageRating":null,
"originalTitle":"0",
"parentTconst":"tt4947580",
"startYear":null,
"endYear":"24",
"numVotes":null,
"episodeNumber":"2",
"primaryTitle":""Stop and Hear the Cicadas/Cold-Bloodedt"Stop and Hear the Cicadas/Cold-Blooded",
"isAdult":2018,
"genres":null
}
我做错了什么以及如何配置Spark以正确理解和拆分此行？正如我之前提到的，此文件中的许多其他行都正确地拆分为正确的列。