如何处理大型 json 文件（将其展平为 tsv）[关闭]

Question

我正在处理一个大型 JSON 文件，特别是角色数据集 (download here)

Persona-Chat 中的每个条目都是一个具有两个键个性和 话语，数据集是条目列表。

personality: list of strings containing the personality of the agent
utterances: list of dictionaries, each of which has two keys which are lists of strings.
candidates: [next_utterance_candidate_1, ..., next_utterance_candidate_19]
The last candidate is the ground truth response observed in the conversational data
history: [dialog_turn_0, ... dialog_turn N], where N is an odd number since the other user starts every conversation.

https://towardsdatascience.com/how-to-train-your-chatbot-with-simple-transformers-da25160859f4

我想要实现的是将其展平并以以下格式将其转换为 tsv：

 col_index, string (where  string is the personality, candidates and history

但是 每当我尝试加载它并将其转换为数据帧时

import pandas as pd
df = pd.read_json(r'path')
display(df)

我收到以下错误：

ValueError: arrays must all be same length

感谢任何帮助，无论是文章还是其他库/框架和方法，甚至是面包屑！

编辑： 我正在将它提供给另一个需要 tsv 的 api，我正在考虑一种连接并保留结构以再次重新构建它的方法。

Answer 1

要完全展平该文件，您需要类似

import json


def read_personachat_file(name="personachat_self_original.json"):
    with open(name, "r") as f:
        data = json.load(f)

    for entry_type, chats in data.items():
        for chat_id, chat in enumerate(chats):
            personality = "|".join(chat["personality"])
            for utt_id, utt in enumerate(chat["utterances"]):
                for key in ("candidates", "history"):
                    for phrase_id, phrase in enumerate(utt[key]):
                        yield (entry_type, chat_id, personality, utt_id, key, phrase_id, phrase)


for entry in read_personachat_file():
    print(entry)

输出将类似于

('train', 313, 'i like to wear red .|i wear a red purse .|i like to wear red shoes also .|i use red lipstick .|i drive a red car .', 5, 'candidates', 7, 'my sister will be my mom , she wants me to get married')
('train', 313, 'i like to wear red .|i wear a red purse .|i like to wear red shoes also .|i use red lipstick .|i drive a red car .', 5, 'candidates', 8, 'hi , how are ya ?')
('train', 313, 'i like to wear red .|i wear a red purse .|i like to wear red shoes also .|i use red lipstick .|i drive a red car .', 5, 'candidates', 9, 'sounds good . i am just sitting here with my dog . i love animals .')
('train', 313, 'i like to wear red .|i wear a red purse .|i like to wear red shoes also .|i use red lipstick .|i drive a red car .', 5, 'candidates', 10, "sure i'll go with you but i am baking a pizza right now , my favorite . come eat .")
('train', 313, 'i like to wear red .|i wear a red purse .|i like to wear red shoes also .|i use red lipstick .|i drive a red car .', 5, 'candidates', 11, 'where do you work then soccer person ?')
('train', 313, 'i like to wear red .|i wear a red purse .|i like to wear red shoes also .|i use red lipstick .|i drive a red car .', 5, 'candidates', 12, 'it is so pretty in the fall and winter , my favorite time to go')
('train', 313, 'i like to wear red .|i wear a red purse .|i like to wear red shoes also .|i use red lipstick .|i drive a red car .', 5, 'candidates', 13, 'i to travel and meet new people')

（无论这对你是否有用）。