我有一个数据集，它有逗号分隔的值：

10,4,21,9,50,9,4,50    
50,78,47,7,4,7,4,50    
68,25,43,13,11,68,10,9

我想将其转换为包和元组，如下所示：

({(10),(4),(21),(9),(50)},{(9),(4),(50)})    
({(50),(78),(45),(7),(4)},{(7),(4),(50)})    
({(68),(25),(43),(13),(11)},{(68),(10),(9)})

我尝试了下面的命令，但它没有显示任何数据。

grunt> dataset = load '/user/dataset' Using PigStorage(',') As (bag1:bag{t1:tuple(p1:int, p2:int, p3:int, p4:int, p5:int)}, bag2:bag{t2:tuple(p6:int, p7:int, p8:int)});

grunt> dump dataset;

下面是dump的输出：

2015-09-11 05:26:31,057 [main] WARN  org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - Encountered Warning FIELD_DISCARDED_TYPE_CONVERSION_FAILED 8 time(s).    
2015-09-11 05:26:31,057 [main] INFO      org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - Success!
2015-09-11 05:26:31,058 [main] INFO  org.apache.hadoop.conf.Configuration.deprecation - fs.default.name is deprecated. Instead, use fs.defaultFS
2015-09-11 05:26:31,058 [main] INFO  org.apache.pig.data.SchemaTupleBackend - Key [pig.schematuple] was not set... will not generate code.
2015-09-11 05:26:31,063 [main] INFO  org.apache.hadoop.mapreduce.lib.input.FileInputFormat - Total input paths to process : 1
2015-09-11 05:26:31,063 [main] INFO  org.apache.pig.backend.hadoop.executionengine.util.MapRedUtil - Total input paths to process : 1    
(,)    
(,)    
(,)    
(,)

请帮忙。如何将数据集转换为包和元组。