TypeError when computing bertscore
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I am not able to reproduce this issue on my side.
Could you give us more details about the inputs you used ?

I do get another error though:
```
~/.virtualenvs/hf-datasets/lib/python3.7/site-packages/bert_score/utils.py in bert_cos_score_idf(model, refs, hyps, tokenizer, idf_dict, verbose, batch_size, device, all_layers)
    371         return sorted(list(set(l)), key=lambda x: len(x.split(" ")))
    372 
--> 373     sentences = dedup_and_sort(refs + hyps)
    374     embs = []
    375     iter_range = range(0, len(sentences), batch_size)

ValueError: operands could not be broadcast together with shapes (0,) (2,)
```
That's because it gets numpy arrays as input and not lists. See #387 
2020-07-16T13:45:22Z
https://github.com/huggingface/datasets/issues/375#issuecomment-659422523
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MEMBER
The other issue was fixed by #403 

Do you still get this issue @willywsm1013 ?

2020-09-07T14:50:12Z
https://github.com/huggingface/datasets/issues/375#issuecomment-688373194
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Hi, 

I installed nlp 0.3.0 via pip, and my python version is 3.7.
When I tried to compute bertscore with the code:
```
import nlp 
bertscore = nlp.load_metric('bertscore')  
# load hyps and refs 
...
print (bertscore.compute(hyps, refs, lang='en'))
```

I got the following error.
```
Traceback (most recent call last):
  File "bert_score_evaluate.py", line 16, in <module>
    print (bertscore.compute(hyps, refs, lang='en'))
  File "/home/willywsm/anaconda3/envs/torcher/lib/python3.7/site-packages/nlp/metric.py", line 200, in compute
    output = self._compute(predictions=predictions, references=references, **metrics_kwargs)
  File "/home/willywsm/anaconda3/envs/torcher/lib/python3.7/site-packages/nlp/metrics/bertscore/fb176889831bf0ce995ed197edc94b2e9a83f647a869bb8c9477dbb2d04d0f08/bertscore.py", line 105, in _compute
    hashcode = bert_score.utils.get_hash(model_type, num_layers, idf, rescale_with_baseline)
TypeError: get_hash() takes 3 positional arguments but 4 were given
```

It seems like there is something wrong with get_hash() function?