Add error_bad_chunk to the JSON loader

Add the `error_bad_chunk` parameter to the JSON loader.

Setting `error_bad_chunk=False` allows to skip an unparsable chunk of JSON data without raising an error.

Additional note:

In case of an unparsable JSON chunk, the JSON loader no longer tries to load the full JSON (which could take a lot of time in streaming mode) to get the JSON fields that the user may have forgotten to pass. Ex : for squad-like data, the user has to pass `field="data"` to tell the loader to get the list of examples from this field.

TODO: update docs

cc @lvwerra 

Somebody reported the following error message which I think this is related to the goal of this PR:
```Python
03/24/2022 02:19:45 - INFO - __main__ - Step 5637: {'lr': 0.00018773333333333333, 'samples': 360768, 'batch_offset': 5637, 'completed_steps': 704, 'loss/train': 4.473083972930908, 'tokens/s': 6692.6176452714235}
03/24/2022 02:19:46 - WARNING - datasets.utils.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [1/20]
03/24/2022 02:20:01 - WARNING - datasets.utils.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [2/20]
03/24/2022 02:20:09 - ERROR - datasets.packaged_modules.json.json - Failed to read file 'gzip://file-000000000007.json::https://huggingface.co/datasets/lvwerra/codeparrot-clean-train/resolve/1d740acb9d09cf7a3307553323e2c677a6535407/file-000000000007.json.gz' with error <class 'pyarrow.lib.ArrowInvalid'>: JSON parse error: Invalid value. in row 0
03/24/2022 02:20:24 - WARNING - datasets.utils.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [1/20]
03/24/2022 02:20:37 - WARNING - datasets.utils.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [2/20]
03/24/2022 02:20:44 - WARNING - datasets.utils.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [3/20]
03/24/2022 02:20:49 - WARNING - datasets.utils.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [4/20]
03/24/2022 02:20:54 - WARNING - datasets.utils.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [5/20]
03/24/2022 02:20:59 - WARNING - datasets.utils.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [6/20]
03/24/2022 02:21:12 - WARNING - datasets.utils.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [7/20]
03/24/2022 02:21:20 - WARNING - datasets.utils.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [8/20]
03/24/2022 02:21:25 - WARNING - datasets.utils.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [9/20]
03/24/2022 02:21:30 - WARNING - datasets.utils.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [10/20]
03/24/2022 02:21:36 - WARNING - datasets.utils.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [11/20]
03/24/2022 02:21:41 - WARNING - datasets.utils.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [12/20]
03/24/2022 02:21:46 - WARNING - datasets.utils.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [13/20]
03/24/2022 02:21:51 - WARNING - datasets.utils.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [14/20]
03/24/2022 02:21:56 - WARNING - datasets.utils.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [15/20]
03/24/2022 02:22:01 - WARNING - datasets.utils.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [16/20]
03/24/2022 02:22:12 - WARNING - datasets.utils.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [17/20]
03/24/2022 02:22:21 - WARNING - datasets.utils.streaming_download_manager - Got disconnected from remote data host. Retrying in 5sec [18/20]
Traceback (most recent call last):
  File "/opt/conda/lib/python3.7/site-packages/datasets/packaged_modules/json/json.py", line 119, in _generate_tables
    io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
  File "pyarrow/_json.pyx", line 246, in pyarrow._json.read_json
  File "pyarrow/error.pxi", line 143, in pyarrow.lib.pyarrow_internal_check_status
  File "pyarrow/error.pxi", line 99, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0
```
This comes from the CodeParrot training script where streaming is used. When the connection fails it can happen that the JSON cannot be read anymore and then an error is thrown.



Yea if streaming makes a JSON unreadable then `error_bad_chunk` would help by skipping all the bad JSON data

Should we close this PR?

I didn't continue this PR but I think it's valuable (though now I think it would be better to have multiple options: raise, warn or ignore errors). I'll continue it at one point