Dask Dataframe split column of list into multiple columns

The same task in Pandas can be easily done with

import pandas as pd
df = pd.DataFrame({"lists":[[i, i+1] for i in range(10)]})
df[['left','right']] = pd.DataFrame([x for x in df.lists])

But I can't figure out how to do something similar with a dask.dataframe

Update

So far I found this workaround

ddf = dd.from_pandas(df, npartitions=2)
ddf["left"] = ddf.apply(lambda x: x["lists"][0], axis=1, meta=pd.Series())
ddf["right"] = ddf.apply(lambda x: x["lists"][1], axis=1, meta=pd.Series())

I'm wondering if there is another way to procede.