Hello community,
When trying to load custom json dataset based on wikipedia dump:
from datasets import load_dataset

wiki_fr_dataset_lp = load_dataset("json", data_files="/media/matthieu/HDD_4T0/Github/semantic-search-through-wikipedia-with-weaviate/step-1/articles.json", split="train")

I got the following error:
---------------------------------------------------------------------------
ArrowNotImplementedError                  Traceback (most recent call last)
<ipython-input-1-f8ba9f3864f3> in <module>
      1 from datasets import load_dataset
      2 
----> 3 wiki_fr_dataset_lp = load_dataset("json", data_files="/media/matthieu/HDD_4T0/Github/semantic-search-through-wikipedia-with-weaviate/step-1/articles.json", split="train")
      4 wiki_fr_dataset_lp

~/anaconda3/envs/sts-transformers-gpu-fresh/lib/python3.8/site-packages/datasets/load.py in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, keep_in_memory, save_infos, revision, use_auth_token, task, streaming, script_version, **config_kwargs)
   1630 
   1631     # Download and prepare data
-> 1632     builder_instance.download_and_prepare(
   1633         download_config=download_config,
   1634         download_mode=download_mode,

~/anaconda3/envs/sts-transformers-gpu-fresh/lib/python3.8/site-packages/datasets/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, **download_and_prepare_kwargs)
    605                             logger.warning("HF google storage unreachable. Downloading and preparing it from source")
    606                     if not downloaded_from_gcs:
--> 607                         self._download_and_prepare(
    608                             dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
    609                         )

~/anaconda3/envs/sts-transformers-gpu-fresh/lib/python3.8/site-packages/datasets/builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
    695             try:
    696                 # Prepare split will record examples associated to the split
--> 697                 self._prepare_split(split_generator, **prepare_split_kwargs)
    698             except OSError as e:
    699                 raise OSError(

~/anaconda3/envs/sts-transformers-gpu-fresh/lib/python3.8/site-packages/datasets/builder.py in _prepare_split(self, split_generator)
   1157                 generator, unit=" tables", leave=False, disable=True  # bool(logging.get_verbosity() == logging.NOTSET)
   1158             ):
-> 1159                 writer.write_table(table)
   1160             num_examples, num_bytes = writer.finalize()
   1161 

~/anaconda3/envs/sts-transformers-gpu-fresh/lib/python3.8/site-packages/datasets/arrow_writer.py in write_table(self, pa_table, writer_batch_size)
    440         # reorder the arrays if necessary + cast to self._schema
    441         # we can't simply use .cast here because we may need to change the order of the columns
--> 442         pa_table = pa.Table.from_arrays([pa_table[name] for name in self._schema.names], schema=self._schema)
    443         batches: List[pa.RecordBatch] = pa_table.to_batches(max_chunksize=writer_batch_size)
    444         self._num_bytes += sum(batch.nbytes for batch in batches)

~/anaconda3/envs/sts-transformers-gpu-fresh/lib/python3.8/site-packages/pyarrow/table.pxi in pyarrow.lib.Table.from_arrays()

~/anaconda3/envs/sts-transformers-gpu-fresh/lib/python3.8/site-packages/pyarrow/table.pxi in pyarrow.lib._sanitize_arrays()

~/anaconda3/envs/sts-transformers-gpu-fresh/lib/python3.8/site-packages/pyarrow/array.pxi in pyarrow.lib.asarray()

~/anaconda3/envs/sts-transformers-gpu-fresh/lib/python3.8/site-packages/pyarrow/table.pxi in pyarrow.lib.ChunkedArray.cast()

~/anaconda3/envs/sts-transformers-gpu-fresh/lib/python3.8/site-packages/pyarrow/compute.py in cast(arr, target_type, safe)
    295     else:
    296         options = CastOptions.unsafe(target_type)
--> 297     return call_function("cast", [arr], options)
    298 
    299 

~/anaconda3/envs/sts-transformers-gpu-fresh/lib/python3.8/site-packages/pyarrow/_compute.pyx in pyarrow._compute.call_function()

~/anaconda3/envs/sts-transformers-gpu-fresh/lib/python3.8/site-packages/pyarrow/_compute.pyx in pyarrow._compute.Function.call()

~/anaconda3/envs/sts-transformers-gpu-fresh/lib/python3.8/site-packages/pyarrow/error.pxi in pyarrow.lib.pyarrow_internal_check_status()

~/anaconda3/envs/sts-transformers-gpu-fresh/lib/python3.8/site-packages/pyarrow/error.pxi in pyarrow.lib.check_status()

ArrowNotImplementedError: Unsupported cast from struct<title: string, content: string, count: int64> to struct using function cast_struct

Anyone would have an advice on this error?
Thanks!