dask read_csv ignore broken files

I try to read the CSV files with,
```python
import dask.dataframe as dd
data = dd.read_csv("*.csv.gz",sep='\t',dtype='unicode', low_memory='true',compression='gzip',blocksize=None)
```
I have some CSV files which are broken files. I want to ignore that. It will be great if we have some function like below,

```python
import dask.dataframe as dd
data = dd.read_csv("*.csv.gz",sep='\t',dtype='unicode', low_memory='true',compression='gzip',blocksize=None,ignore_broken_files = True)
```
Which will skip the files that can't be read.