read_json() can't work because of the new line after "pqr". You can either try and fix that line or try and format the whole thing into valid JSON. I'm doing the latter here by adding commas after new lines and surrounding the whole thing with brackets to form a proper JSON array:

with open('temp.txt') as f:
    content = f.read()

pd.read_json('[' + content.replace('}\n', '},') + ']')

Easy way that I remember

import pandas as pd
import json

with open("./data.json", "r") as f:
    data = json.load(f)

df = pd.DataFrame({"Sentence": data.keys(), "Label": data.values()})

With read_json

To read straight from the file using read_json, you can use something like:

pd.read_json("./data.json", lines=True)\
    .T\
    .reset_index()\
    .rename(columns={"index": "Sentence", 0: "Labels"})

Explanation

A little dirty but as you probably noticed, lines=True isn't completely sufficient so the above transposes the result so that you have

So then resetting the index moves the index over to be a column named "index" and then renaming the columns.

If you don't want to use a for-loop, the following should do the trick:

import pandas as pd

df = pd.read_json("foo.json", lines=True)

This will handle the case where your json file looks similar to this:

{"foo": "bar"}
{"foo": "baz"}
{"foo": "qux"}

And will turn it into a DataFrame consisting of a single column, foo, with three rows.

You can read more at Panda's docs

Because your objects are in a list at the second level down of your JSON, you can't read it directly into a dataframe using read_json. Instead, you could read the json into a variable, and then create the dataframe from that:

import pandas as pd
import json

f = open("BrowserHistory.json")
js = json.load(f)
df = pd.DataFrame(js['Browser History'])
df
#                                          favicon_url page_transition  ... client_id         time_usec
# 0                 https://www.google.com/favicon.ico            LINK  ...  cliendid  1620386529857946
# 1                 https://www.google.com/favicon.ico            LINK  ...  cliendid  1620386514845201
# 2                 https://www.google.com/favicon.ico            LINK  ...  cliendid  1620386499014063
# 3  https://ssl.gstatic.com/ui/v1/icons/mail/rfr/g...            LINK  ...  cliendid  1620386492788783

Note you may need to specify the file encoding on the open call e.g.

f = open("BrowserHistory.json", encoding="utf8")

It appears that OP is parsing a Python object and not a JSON object, so read_json is not appropriate.

If one is actually ingesting Python structs, then eval is appropriate.

The eval method will not work if you have JSON booleans, because Python does not parse true or false as True/False.

Also, your json_string is not valid JSON. Single quotes are not delimiters in JSON. So you must also change that (the comments indicate this).

If one did need to have pandas.read_json process a valid JSON string, then per the Pandas GitHub issue that caused this to break, you should wrap json_string in a StringIO so that it may be read akin to a file.

import pandas as pd
from io import StringIO

json_string = '[{"code": "8", "name": "Human"}, {"code": "11", "name": "Orc"}]'
df = pd.read_json(StringIO(json_string))