import pyparsing as pp

integer = pp.pyparsing_common.integer
number = pp.pyparsing_common.number

date = pp.Group(integer * 3)
time = integer

record = (integer("id")
          + date("date")
          + time("time")
          + integer("set_count")
          + number[...]("raw"))

def regroup_raw(t):
    # get the raw values, and regroup into data sets
    raw_vals = t.pop("raw")
    data_set_size = len(raw_vals) // t.set_count

    # make data sets as list of lists, and save as "data" 
    t["data"] = [raw_vals[n*data_set_size:(n+1)*data_set_size]
                 for n in range(t.set_count)]

# add parse-time callback to do data regrouping
record.addParseAction(regroup_raw)


# try it out!
# (I had to modify the 105 count to just 15, since this seemed to be truncated in the pasted example text)
line = "12868   88 11 26 1130 15     13  11.0  75  25.7 1016.00 1173.00   21.0   1000  16.0  77  23.1  981.60 1144.00   19.2   2000  17.0  77  20.1  947.90 1117.00   18.0   3000  17.0  76  17.7  915.10 1087.00   16.6   4000  19.0  75  15.6  883.10 1058.00   14.6   5000  22.0  74  12.4  852.00 1033.00   11.1   6000  24.0  72  10.5  821.60 1005.00    6.7   7000  25.0  70   9.8  792.20  971.40    5.1   8000  18.0  75   9.1  763.70  941.40  -10.5   9000  16.0  81  11.5  736.30  900.10  -14.5  10000  15.0  83  10.2  709.90  871.90  -14.8  11000  15.0  79   8.2  684.30  846.50  -16.3  12000  16.0  75   5.9  659.50  822.60  -18.0  13000  17.0  78   3.6  635.30  799.30  -19.7  14000  18.0  82   2.0  611.90  774.30  -20.9  15000"

parsed = record.parseString(line)
print(parsed.dump())
for dataset in parsed.data:
    print(dataset)


# prints:
[12868, [88, 11, 26], 1130, 15, 13, 11.0, ...
- date: [88, 11, 26]
- id: 12868
- set_count: 15
- time: 1130
[13, 11.0, 75, 25.7, 1016.0, 1173.0, 21.0]
[1000, 16.0, 77, 23.1, 981.6, 1144.0, 19.2]
[2000, 17.0, 77, 20.1, 947.9, 1117.0, 18.0]
[3000, 17.0, 76, 17.7, 915.1, 1087.0, 16.6]
[4000, 19.0, 75, 15.6, 883.1, 1058.0, 14.6]
[5000, 22.0, 74, 12.4, 852.0, 1033.0, 11.1]
[6000, 24.0, 72, 10.5, 821.6, 1005.0, 6.7]
[7000, 25.0, 70, 9.8, 792.2, 971.4, 5.1]
[8000, 18.0, 75, 9.1, 763.7, 941.4, -10.5]
[9000, 16.0, 81, 11.5, 736.3, 900.1, -14.5]
[10000, 15.0, 83, 10.2, 709.9, 871.9, -14.8]
[11000, 15.0, 79, 8.2, 684.3, 846.5, -16.3]
[12000, 16.0, 75, 5.9, 659.5, 822.6, -18.0]
[13000, 17.0, 78, 3.6, 635.3, 799.3, -19.7]
[14000, 18.0, 82, 2.0, 611.9, 774.3, -20.9]