title: Dask read_csv-- Mismatched dtypes found in `pd.read_csv`/`pd.read_table`
body: <p>I'm trying to use dask to read csv file, and it gave me an error like below. But the thing is I want my <code>ARTICLE_ID</code> be <code>object(string)</code>. Anyone can help me to read data successfully?  </p>
  
  <p>Traceback is like below:</p>
  
  <pre><code>ValueError: Mismatched dtypes found in `pd.read_csv`/`pd.read_table`.
  
  +------------+--------+----------+
  
  | Column     | Found  | Expected |
  
  +------------+--------+----------+
  
  | ARTICLE_ID | object | int64    |
  
  +------------+--------+----------+
  
  The following columns also raised exceptions on conversion:
  
  ARTICLE_ID:
  
  
  ValueError("invalid literal for int() with base 10: ' July 2007 and 31 March 2008. Diagnostic practices of the medical practitioners for establishing the diagnosis of different types of EPTB were studied. Results: For the diagnosi\\\\'",)
  
  Usually this is due to dask's dtype inference failing, and
  *may* be fixed by specifying dtypes manually by adding:
  
  dtype={'ARTICLE_ID': 'object'}
  
  to the call to `read_csv`/`read_table`.
  </code></pre>