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Hello.
What is the format of the pre-processed dataset of IFTTT ?
On unpickling the msr_data.pkl file, the data in it is not making much sense to me... because the attributes like correct_action_param, correct_trigger_param, label_names, words, url etc. are occurring together again and again, as a bundle, and after them is another bundle of some other attributes , namely label_types, trigger_chans, action_chans, action_funcs etc and then is a bundle of action and trigger fields, which is followed by some fields which I don't understand but I think are the fields which require user input and are initialized as NULL and then... I don't understand.
Can you tell me how to make sense of the data ? Also, it would be pretty helpful if you can tell me how to see the data in a pretty-formatted format.
The text was updated successfully, but these errors were encountered:
We did not include the raw data we crawled from IFTTT (i.e., the pretty-formatted dataset) due to some privacy concerns. However, we included the code for preprocessing raw data in dataPreprocessor/process_IFTTT_data.py, where you can see the format of our raw data and how they are converted into the pkl file.
Hello.
What is the format of the pre-processed dataset of IFTTT ?
On unpickling the msr_data.pkl file, the data in it is not making much sense to me... because the attributes like correct_action_param, correct_trigger_param, label_names, words, url etc. are occurring together again and again, as a bundle, and after them is another bundle of some other attributes , namely label_types, trigger_chans, action_chans, action_funcs etc and then is a bundle of action and trigger fields, which is followed by some fields which I don't understand but I think are the fields which require user input and are initialized as NULL and then... I don't understand.
Can you tell me how to make sense of the data ? Also, it would be pretty helpful if you can tell me how to see the data in a pretty-formatted format.
The text was updated successfully, but these errors were encountered: