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Converting JSON/dict to flatten string with indicator tokens

Given an input like: {'example_id': 0, 'query': ' revent 80 cfm', 'query_id': 0, 'product_id': 'B000MOO21W', 'product_locale': 'us', 'esci_label': 'I', 'small_version': 0, 'large_version': 1, 'split': 'train', 'product_title': 'Panasonic FV-20VQ3 WhisperCeiling 190 CFM Ceiling Mounted Fan', 'product_description': None, 'product_bullet_point': 'WhisperCeiling fans feature…

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tokenize sentence into words python – Nginx

I want to extract information from different sentences so i'm using nltk to divide each sentence to words, I'm using this code: words=[] for i in range(len(sentences)): words.append(nltk.word_tokenize(sentences[i])) words it works pretty good but i want something little bit different…

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