BUG: json_normalize cannot parse metadata fields list type
#### Code Sample, a copy-pastable example

```python
test_data = [
    {"values": [1, 2, 3], "metadata": {"listdata": [1, 2]}}]

df = json_normalize(test_data,
                    record_path=["values"],
                    meta=[["metadata", "listdata"]])
print(df)

```

#### Problem description

It throws error ```ValueError: Length of values (6) does not match length of index (3)```

Changing listdata field from `[1,2]` to `{1,2}` helped but I can't control JSON I receive.

#### Expected Output

| 0 | metadata.listdata |
|---|-------------------|
| 1 | [1, 2]            |
| 2 | [1, 2]            |
| 3 | [1, 2]            |

#### Output of ``pd.show_versions()``

<details>

INSTALLED VERSIONS
------------------
commit           : 67a3d4241ab84419856b84fc3ebc9abcbe66c6b3
python           : 3.6.12.final.0
python-bits      : 64
OS               : Linux
OS-release       : 5.4.0-52-generic
Version          : #57-Ubuntu SMP Thu Oct 15 10:57:00 UTC 2020
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8
pandas           : 1.1.4
numpy            : 1.19.4
pytz             : 2020.4
dateutil         : 2.8.1

</details>
