How to concatenate sentences from json file to be one text?

The json file has the structure like this:

{"text":"I","meta":{"paper_id":"cadf94cda790ae1bd90c32fbe441bb68a8637d83","title":"title1"}}
{"text":"love","meta":{"paper_id":"cadf94cda790ae1bd90c32fbe441bb68a8637d83","title":"title1"}}
{"text":"Coca-cola.","meta":{"paper_id":"cadf94cda790ae1bd90c32fbe441bb68a8637d83","title":"title1"}}
{"text":"He","meta":{"paper_id":"0f3402fa5b44e121d410ec73dfc21937074e5fa3","title":"title2"}}
{"text":"loves","meta":{"paper_id":"0f3402fa5b44e121d410ec73dfc21937074e5fa3","title":"title2"}}
{"text":"Pepsi.","meta":{"paper_id":"0f3402fa5b44e121d410ec73dfc21937074e5fa3","title":"title2"}}

I want to concatenate sentences that belong to the same paper (paper_id) that in the end to have:

{"text":"I love Coca-cola. ","meta":{"paper_id":"cadf94cda790ae1bd90c32fbe441bb68a8637d83","title":"title1"}}
{"text":"He loves Pepsi.","meta":{"paper_id":"0f3402fa5b44e121d410ec73dfc21937074e5fa3","title":"title2"}}

Any ideas how to tackle this? I stuck in iterating over those nested dictionaries.

Loaded data into list

data = [json.loads(line) for line in open('datafile_path', 'r')]
for sentence in data:
    for key,dict_n in sentence.items():
        for key2,value in dict_n.items():
            print(value)

this throws error: AttributeError: 'str' object has no attribute 'items'

Solution

First you get the Id's like this:

def getIds(data):
    ids = []
    for i in data:
        if i['meta']['paper_id'] not in ids:
            ids.append(i['meta']['paper_id'])
return ids

and then you iterate through the list:

concatenate_sentence = {"text":"","meta":{"paper_id":"","title":""}}
for id in paper_ids:
    for sentence in data_list:
        if sentence['meta']['paper_id'] == id:
            concatenate_sentence['text'] += sentence['text'] + ' '
            concatenate_sentence['meta']['paper_id'] = id
            concatenate_sentence['meta']['title'] = sentence['meta']['title']

    new_data.append(concatenate_sentence)     
    concatenate_sentence = {"text":"","meta":{"paper_id":"","title":""}}   

 print(new_data)

Output:

[{'text': 'I love Coca-cola. ', 'meta': {'paper_id': 'cadf94cda790ae1bd90c32fbe441bb68a8637d83', 'title': 'title1'}}, {'text': 'He loves Pepsi. ', 'meta': {'paper_id': '0f3402fa5b44e121d410ec73dfc21937074e5fa3', 'title': 'title2'}}]