a

.gitignore

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+
+*~
+*.swp
+*.bak
+*.pyc
+*.o
+.DS_Store
+.token

README.md

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+# Dataset source and thanks
+
+Predict the headline category given headine text and year
+Start Date: 1996-01-01 End Date: 2019-12-31
+
+
+Dataset taken from https://www.kaggle.com/therohk/ireland-historical-news on 19.06.2020.
+Special thanks to Rohit Kulkarni who created it.
+
+You may find whole dataset (including the test dataset) in the link above.
+The dataset in the link may be updated.
+Please, do not incorporate any of the data from this kaggle dataset (or others) to your submission in this gonito challange.
+
+## Context (from https://www.kaggle.com/therohk/ireland-historical-news )
+
+This news dataset is a composition of 1.48 million headlines posted by the Irish Times operating within Ireland.
+
+Created over 160 years ago; the agency can provides long term birds eye view of the happenings in Europe.
+
+
+# Challange creation
+
+Year is normalized as follows:
+
+'''
+    days_in_year = 366 if is_leap else 365
+    normalized = d.year + ((day_of_year-1)  / days_in_year)
+'''
+
+train, dev, test split is 80%, 10%, 10% randomly
+
+note that there are very similar headlines in the data
+
+I did not make any effort to prevent from going one sentence like this to the train and second one to the test.
+
+I used a first category in the classification task. E.g there is "world" instead of "world.us" as on original dataset.
+

config.txt

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+--metric Accuracy --precision 5

names

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+year_normalized	date	text