wer_standardize error

[em-chiu]

I used the below code to try and process the data but got a ValueError

import jiwer

string_wer_data["standardized_ref"] = jiwer.wer_standardize((string_wer_data["reference"]))
string_wer_data["standardized_hyp"] = jiwer.wer_standardize((string_wer_data["hypothesis"]))

emulating nikvaessen's response to another issue:

import jiwer

jiwer.wer(
  outputs_true, 
  outputs_pred,
  reference_transform=jiwer.wer_standardize, 
  hypothesis_transform=jiwer.wer_standardize
)

Originally posted by @nikvaessen in #85 (comment)

ValueError:

Traceback (most recent call last):
  File "/Users/emily/Desktop/whisper-input/wer_modules.py", line 73, in <module>
    string_wer_data["standardized_ref"] = jiwer.wer_standardize((string_wer_data["reference"]))
                                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/emily/miniconda3/lib/python3.12/site-packages/jiwer/transforms.py", line 130, in __call__
    text = tr(text)
           ^^^^^^^^
  File "/Users/emily/miniconda3/lib/python3.12/site-packages/jiwer/transforms.py", line 87, in __call__
    raise ValueError(
ValueError: input 0 

[nikvaessen]

Can you verify the following assertions on string_wer_data["reference"] :

assert isinstance(string_wer_data["reference"], list)
assert all(isinstance(e, str) for e in string_wer_data["reference"])

[em-chiu]

i verified those assertions are true