AttributeError: 'list' object has no attribute 'split'

maxrivera: <p>I am using torchtext.data.metrics.bleu_score to calculate the bleu score between hypothesis and reference corpus. Each input is an iterable, so this should work based on the example in the docs. But I get this error. Any suggestions?</p>
<pre><code class="lang-auto">import torchtext
def get_bleu_score(reference, hypothesis):
    '''
    Args:
    - reference: target sentences (batch_size x seq_len)
    - hypothesis: predicted sentences (batch_size x seq_len)
    Return: 
    - bleu_score: corpos bleu score between reference and hypothesis 
    '''

    # remove special tokens 
    new_reference = []
    for sentence in reference:
        new_sentence=[]
        for word in sentence:
            if word == 'EOS':
                break
            if word != 'BOS' and word != 'EOS' and word != 'PAD':
                new_sentence.append(word)
        new_reference.append(new_sentence)
    
    new_reference = [new_reference]

    new_hypothesis = []
    for sentence in hypothesis:
        new_sentence = []
        for word in sentence:
            if word == 'EOS':
                break
            if word != 'BOS' and word != 'EOS' and word != 'PAD':
                new_sentence.append(word)
        new_hypothesis.append(new_sentence)
    
    print('reference: ', new_reference)
    print('hypothesis: ', new_hypothesis)
    
    # calculate BLEU score 
    bleu_score = torchtext.data.metrics.bleu_score(new_reference, new_hypothesis)

    return bleu_score


reference = [['BOS','i','want','some','ice','cream','.','EOS','PAD']]
hypothesis = [['BOS','i','want','a','ice','cream','.','EOS','PAD']]
bleu = get_bleu_score(reference, hypothesis)
print('bleu: ', bleu)
</code></pre>
<pre><code class="lang-auto">reference:  [[['i', 'want', 'some', 'ice', 'cream', '.']]]
hypothesis:  [['i', 'want', 'a', 'ice', 'cream', '.']]
Traceback (most recent call last):
  File "~/test_bleu.py", line 45, in &lt;module&gt;
    bleu = get_bleu_score(reference, hypothesis)
  File "~/test_bleu.py", line 38, in get_bleu_score
    bleu_score = torchtext.data.metrics.bleu_score(new_reference, new_hypothesis)
  File "~/myenv2/lib/python3.9/site-packages/torchtext/data/metrics.py", line 78, in bleu_score
    candidate_counter = _compute_ngram_counter(candidate, max_n)
  File "~/myenv2/lib/python3.9/site-packages/torchtext/data/metrics.py", line 29, in _compute_ngram_counter
    ngrams_counter = collections.Counter(tuple(x.split(' '))
  File "~/myenv2/lib/python3.9/collections/__init__.py", line 593, in __init__
    self.update(iterable, **kwds)
  File "~/myenv2/lib/python3.9/collections/__init__.py", line 679, in update
    _count_elements(self, iterable)
  File "~/myenv2/lib/python3.9/site-packages/torchtext/data/metrics.py", line 29, in &lt;genexpr&gt;
    ngrams_counter = collections.Counter(tuple(x.split(' '))
AttributeError: 'list' object has no attribute 'split'
</code></pre>

William_Ravenscroft: <p>My guess would be your <code>new_reference</code> list has an extra dimension to the <code>new_hypothesis</code> list</p>

maxrivera: <p>Ok, so I took off a pair of brackets from the new_reference, and I got a bleu of 0. This doesn’t make sense either.</p>
<pre><code class="lang-auto">reference:  [['i', 'want', 'some', 'ice', 'cream', '.']]
hypothesis:  [['i', 'want', 'a', 'ice', 'cream', '.']]
bleu:  0.0
</code></pre>

Bishwa_Karki: <p>change the position of reference and hypothesis on calling the bleu_score.</p>