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Update README.md

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@@ -93,14 +93,13 @@ test set, respectively.
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  | Edu-Career | 4,008 | 90 | 272 | 4,372 |
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  | Science-Tech | 1,046 | 23 | 71 | 1,141 |
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  | Religion | 269 | 6 | 18 | 294 |
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- |:-------------:|:-----------:|:---------:|:----------:|:-----------:|
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  | **Total** | **220,574** | **4,994** | **15,012** | **240,580** |
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  ## Dataset Creation
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  We crawl around 900,000 raw data samples from seven famous Bengali newspapers concentrating on certain
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  criteria, such as headline, article, image caption, category, and topic words. Since each of the newspapers
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- mentioned above has it’s own professional authors and distinct writing style, we consider multiple sources
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  to prevent the bias of a particular annotation style. To ensure content diversity, we also cover various
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  domains from all the news dailies. The majority of the news samples are extracted from HTML bodies of the
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  corresponding publications, while some are rendered using JavaScript. However, two of them do not provide
@@ -164,7 +163,7 @@ We considered some ethical aspects while scraping the data. We requested data at
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  without any intention of a DDoS attack. Moreover, for each website, we read the instructions listed in
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  robots.txt to check whether we can crawl the intended content. We tried to minimize offensive texts in
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  the data by explicitly crawling the sites where such contents are minimal. Further, we removed the
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- Personal Identifying Information (PII) such as name, phone number, email address etc from the corpus.
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  ### Other Known Limitations
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  | Edu-Career | 4,008 | 90 | 272 | 4,372 |
94
  | Science-Tech | 1,046 | 23 | 71 | 1,141 |
95
  | Religion | 269 | 6 | 18 | 294 |
 
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  | **Total** | **220,574** | **4,994** | **15,012** | **240,580** |
97
 
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  ## Dataset Creation
99
 
100
  We crawl around 900,000 raw data samples from seven famous Bengali newspapers concentrating on certain
101
  criteria, such as headline, article, image caption, category, and topic words. Since each of the newspapers
102
+ mentioned above has its own professional authors and distinct writing style, we consider multiple sources
103
  to prevent the bias of a particular annotation style. To ensure content diversity, we also cover various
104
  domains from all the news dailies. The majority of the news samples are extracted from HTML bodies of the
105
  corresponding publications, while some are rendered using JavaScript. However, two of them do not provide
 
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  without any intention of a DDoS attack. Moreover, for each website, we read the instructions listed in
164
  robots.txt to check whether we can crawl the intended content. We tried to minimize offensive texts in
165
  the data by explicitly crawling the sites where such contents are minimal. Further, we removed the
166
+ Personal Identifying Information (PII) such as name, phone number, email address, _etc._ from the corpus.
167
 
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  ### Other Known Limitations
169