This dataset is a subset of a much larger dataset of 380+ million reddit comments. There are around 5000 comments in the training dataset.

Data Description

In the 'Data' section of the challenge page check the 'Resources' subsection. For reference, see the screenshot below (the red box):

Click on the dataset that you want to download.
After you have downloaded the dataset, you can read the dataset in your jupyter notebook using the read_csv() function. Provide the appropriate path of the data located on your machine. For example, if the data is located in the same location where you are executing your jupyter notebook, you can read the dataset as:
train_data = pd.read_csv('Train data.csv')

You can find more details on how to save a prediction file here: https://discuss.dphi.tech/t/how-to-submit-predictions/548

Sample submission: You should submit a CSV file with a header row and the sample submission can be found below:

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Etc.

Note that the header name should be ‘prediction’ else it will throw an evaluation error.

Steps to follow to submit your notebook:

Go to the Notebook section on this challenge page
Click on the 'Upload Notebook' button on top left corner as shown in the image below:
Make sure to make the visibility of your notebook as 'public' while uploading the notebook.
Provide Notebook Title, Summary, add some tags, go to next, chose a file and click on Upload.

Acknowledgement

The data comes from https://pushshift.io/

Data Sprint #36: Reddit Comment Score Prediction