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Update README.md

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@@ -46,18 +46,16 @@ The structure of "./data/raw/" should be like:
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  road-network/roads.csv records the road network of the five cities.
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- data_with_trajectory_20s/* records the trajectory of courier every 20 seconds.
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  ```python
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  import pandas as pd
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  >>> import pandas as pd
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  >>> df = pd.read_pickle("courier_detailed_trajectory_20s.pkl.xz")
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- >>> df.head(5)
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  ds postman_id gps_time lat lng
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  0 321 106f5ac22cfd1574b196d16fed62f90d 03-21 07:31:58 3.953700e+06 3.053400e+06
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  1 321 106f5ac22cfd1574b196d16fed62f90d 03-21 07:32:18 3.953700e+06 3.053398e+06
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  2 321 106f5ac22cfd1574b196d16fed62f90d 03-21 07:32:41 3.953700e+06 3.053398e+06
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- 3 321 106f5ac22cfd1574b196d16fed62f90d 03-21 07:55:51 3.953700e+06 3.053398e+06
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- 4 321 106f5ac22cfd1574b196d16fed62f90d 03-21 08:31:42 3.953929e+06 3.052367e+06
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  ```
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  Each sub-dataset (delivery, pickup) contains 5 CSV files, with each representing the data from a specific city, the detail of each city can be find in the following table.
 
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  road-network/roads.csv records the road network of the five cities.
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+ data_with_trajectory_20s/* records the trajectory of courier.
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  ```python
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  import pandas as pd
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  >>> import pandas as pd
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  >>> df = pd.read_pickle("courier_detailed_trajectory_20s.pkl.xz")
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+ >>> df.head(3)
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  ds postman_id gps_time lat lng
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  0 321 106f5ac22cfd1574b196d16fed62f90d 03-21 07:31:58 3.953700e+06 3.053400e+06
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  1 321 106f5ac22cfd1574b196d16fed62f90d 03-21 07:32:18 3.953700e+06 3.053398e+06
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  2 321 106f5ac22cfd1574b196d16fed62f90d 03-21 07:32:41 3.953700e+06 3.053398e+06
 
 
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  ```
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  Each sub-dataset (delivery, pickup) contains 5 CSV files, with each representing the data from a specific city, the detail of each city can be find in the following table.