<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2019-05-26 13:31:56, BBCWorld from company bbc tweeted. The tweet was "Women have been taking to the streets of Saudi Arabia – to go running 🏃‍♀️

This mixed-gender club is challenging cultural norms – women are still severely restricted in the country, but no law says they can't run in public 

[Tap to expand] <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-06-04 03:00:15, CNN handle of company cnn tweeted. The tweet was "Saudi Arabia "temporarily" frees activists who want women to be able to drive <hyperlink> <hyperlink>". This tweet got 601 number of likes. 
2. On 2018-06-23 21:09:53, CNN handle of company cnn tweeted. The tweet was "JUST IN: Women in Saudi Arabia can now legally get behind the wheel of a car as the kingdom lifts its longstanding ban on women driving <hyperlink> <hyperlink>". This tweet got 2905 number of likes. 
3. On 2018-06-23 21:21:33, cnni handle of company cnn tweeted. The tweet was "JUST IN: Women in Saudi Arabia can now legally get behind the wheel of a car as the kingdom lifts its longstanding ban on women driving <hyperlink> <hyperlink>". This tweet got 543 number of likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
