I’m struggling to convert the integer column to float one. I didn’t find anything related to HF datasets documentation.
Looks like the best way to deal with this is to use cast
method.
Yes indeed !
for example
from datasets import *
d = Dataset.from_dict({"a": [1, 2, 3]})
d2 = d.cast(Features({"a": Value("float32")}))
print(d2.features)
# {'a': Value(dtype='float32', id=None)}
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