postprocessing.py

def load_file(filename):
    with open(filename, 'r') as f:
        header = f.readline().strip().split(";")
        return header, [line.strip().split(";") for line in f if line.strip()]

def remove_duplicates(data):
    keys = set()
    _data = []
    for item in data:
        key = tuple((item[0], item[1], item[2], item[3], item[-1]))
        if key in keys:
            continue
        _data += [item]
        keys.add(key)
    return _data

def fix_arxiv_links(data):
    return [[*item[:-2], item[-2].replace("arxiv.org/pdf", "arxiv.org/abs"), item[-1]] for item in data]

def fix_openreview_links(data):
    return [[*item[:-2], item[-2].replace("openreview.net/pdf", "openreview.net/forum"), item[-1]] for item in data]

def sort_data(data):
    return sorted(data, key=lambda x: (x[0], x[1], x[2], x[3], x[-1]))

def main():
    header, data = load_file("contamination_report.csv")
    data = sort_data(data)
    data = remove_duplicates(data)
    data = fix_arxiv_links(data)
    data = fix_openreview_links(data)
    print("Total datapoints:", len(data))

    with open("contamination_report.csv", 'w') as f:
        f.write(";".join(header) + "\n")
        past_key = None
        for line in data:
            key = tuple((line[0], line[1]))
            if key != past_key:
                f.write("\n")
                past_key = key
            line = line[:3] + line[3:]
            f.write(";".join(line) + "\n")


if __name__ == "__main__":
    main()