On this blog post about NER evaluation, the author uses nervaluate, and also shows with a snippet of code how to quickly pack the results from a dictionary to a DataFrame:
from collections import defaultdict
def flip_nested_dict(dd):
result = defaultdict(dict)
for k1, d in dd.items():
for k2, v in d.items():
result[k2][k1] = v
return dict(result)
I will add this as yet another format to export the results from the Evaluator.
On this blog post about NER evaluation, the author uses
nervaluate, and also shows with a snippet of code how to quickly pack the results from a dictionary to aDataFrame:I will add this as yet another format to export the results from the
Evaluator.