Data used in "Eliciting New Wikipedia Users' Interests via Automatically Mined Questionnaires: For a Warm Welcome, Not a Cold Start"

The data used in the paper titled "Eliciting New Wikipedia Users’ Interests via Automatically Mined Questionnaires: For a Warm Welcome, Not a Cold Start", accepted to ICWSM-2019. The data consists of four files:

1. ids_to_articles.tsv: A tab-separated values file containing ids and names of Wikipedia articles. The schema is (article id, article namespace, article name).
2. word_index_en.tsv: A tab-separated values file containing a mapping of terms to indices. The schema is (word index, 0, word).
3. revision_history.tar.gz: A compressed file that contains two TSV files containing the entire editing history of Wikipedia up to November 2018. The schema is as follows: (rev_id, page_id, text_id, user_id, user_name, timestamp, chararray, is_minor_edit, deleted, article length in bytes after the edit, parent_id, comment). The important columns for reproducing our results are the 2nd, 4th and 5th columns, corresponding respectively to the page ID, the user ID and the username for each edit.
4. wikipedia_term_counts.tar.gz: A compressed file containing a TSV file that has term counts for each English Wikipeda article and term pair, indicating the number of times that term has appeared in that article. The schema is (article id, word index, count).

The code contained in this repository can be used to reproduce the results from the paper.