因为你有连续的分隔符，而且分隔符在一些行的开头，所以使用Matlab的csv/text读取函数不是很简单。但是阅读整个文件，然后根据缺失值的数量决定一行/一行属于哪个数据集，是有效的。请参见注解以获得解释。

% read csv, with consecutive delimiter join option
data = readmatrix('test.txt','Delimiter',' ','ConsecutiveDelimitersRule', 'join');

n_nans = sum(isnan(data),2); % identify number of nans per row

% get the row indices and identify for which dataset the rows are 
rows_set1_1 = n_nans == 1;  % one nan per full row for first dataset
rows_set1_2 = n_nans == 12; % 12 nans per row for the 'wrapped' lines
rows_set2 = n_nans == 10;

% divide data in two datasets
dataset1 = [data(rows_set1_1, :), data(rows_set1_2, :)]; % horizontal concatenate set 1 & 2
dataset2 = data(rows_set2, :);

% remove nan columns
dataset1(:,all(isnan(dataset1),1)) = []; 
dataset2(:,all(isnan(dataset2),1)) = [];