Reported a bug


**Describe the bug**
I got a warning that many columns have mixed types and Specify dtype option on import or set low_memory=False.
The solution of setting low_memory = False wont solve the problem .
I have even attached the screenshot , u can see unnamed 3, 4 ,5 6....1262.

May be the problem is with the dataset or i dont know .. please look after this issue .

**Expected behaviour**
Based on the notebook in this repo , it should have print like this
data_credits columns: Index(['movie_id', 'title', 'cast', 'crew'], dtype='object')

but i got like the below
data_credits columns: Index(['movie_id', 'title', 'cast', 'Unnamed: 3', 'Unnamed: 4', 'Unnamed: 5',
'Unnamed: 6', 'Unnamed: 7', 'Unnamed: 8', 'Unnamed: 9',
...
'Unnamed: 1255', 'Unnamed: 1256', 'Unnamed: 1257', 'Unnamed: 1258',
'Unnamed: 1259', 'Unnamed: 1260', 'Unnamed: 1261', 'Unnamed: 1262',
'Unnamed: 1263', 'Unnamed: 1264'],
dtype='object', length=1265)

**Desktop**
- OS: [e.g. Windows]
- Browser [e.g. chrome]
- Version [e.g. 10]

**Additional context**
If this is my mistake please specify the error i have made or please provide solution