[neural search][fix bug of evaluate.py]

[ZeyuTeng96]

hi there:

with open(args.recall_result_file, "r", encoding="utf-8") as f:
        relevance_labels = []
        for index, line in enumerate(f):

            if index % args.recall_num == 0 and index != 0:
                rs.append(relevance_labels)
                relevance_labels = []

            text, recalled_text, cosine_sim = line.rstrip().split("\t")
            if text2similar[text] == recalled_text:
                relevance_labels.append(1)
            else:
                relevance_labels.append(0)

this chunk of code read a txt file line by line. And spliting the recall cases by the recall num. However, this chunk of code does not consider the last recall results. So, to fix it, have to add one more append function once the file is reading complete.

您好，
这段代码存在一个bug，这段代码按照recall num来进行按行读取数据，但是最后的一块召回结果并未被记录。举个例子，一个8行的txt和recall_num 2，这段代码只能够读取2，4，6行数据的召回结果，7和8的结果被丢掉了。为了修复这个bug, 可以在循环外再apped一次

[paddle-bot]

Thanks for your contribution!

[w5688414]

LGTM

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (4069f22) 56.95% compared to head (3853b82) 56.95%.
Report is 2 commits behind head on develop.

Additional details and impacted files

@@           Coverage Diff            @@
##           develop    #7832   +/-   ##
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  Coverage    56.95%   56.95%           
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  Files          587      587           
  Lines        88628    88628           
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  Hits         50480    50480           
  Misses       38148    38148           

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