Python, NLP, Spacy.
convert_multi_label(df, filename): db = DocBin() nlp = spacy.load('en_core_web_lg') total = len(df.index) print(f'{time()}: start processing {filename} with {total} files') categories_list = set(list(chain.from_iterable([list(d) for d in df["categories"].tolist()]))) categories_dict = { cat: 0 for