TypeError: Couldn't cast array of type string to null in long json
Author: nokados
State: open

### Describe the bug

In general, changing the type from string to null is allowed within a dataset — there are even examples of this in the documentation.

However, if the dataset is large and unevenly distributed, this allowance stops working. The schema gets locked in after reading a chunk. 

Consequently, if all values in the first chunk of a field are, for example, null, the field will be locked as type null, and if a string appears in that field in the second chunk, it will trigger this error:

<details> 
  <summary>Traceback </summary>

```
   TypeError                                 Traceback (most recent call last)

[/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in _prepare_split_single(self, gen_kwargs, fpath, file_format, max_shard_size, job_id)
   1868                     try:
-> 1869                         writer.write_table(table)
   1870                     except CastError as cast_error:

14 frames

[/usr/local/lib/python3.10/dist-packages/datasets/arrow_writer.py](https://localhost:8080/#) in write_table(self, pa_table, writer_batch_size)
    579         pa_table = pa_table.combine_chunks()
--> 580         pa_table = table_cast(pa_table, self._schema)
    581         if self.embed_local_files:

[/usr/local/lib/python3.10/dist-packages/datasets/table.py](https://localhost:8080/#) in table_cast(table, schema)
   2291     if table.schema != schema:
-> 2292         return cast_table_to_schema(table, schema)
   2293     elif table.schema.metadata != schema.metadata:

[/usr/local/lib/python3.10/dist-packages/datasets/table.py](https://localhost:8080/#) in cast_table_to_schema(table, schema)
   2244         )
-> 2245     arrays = [
   2246         cast_array_to_feature(

[/usr/local/lib/python3.10/dist-packages/datasets/table.py](https://localhost:8080/#) in <listcomp>(.0)
   2245     arrays = [
-> 2246         cast_array_to_feature(
   2247             table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),

[/usr/local/lib/python3.10/dist-packages/datasets/table.py](https://localhost:8080/#) in wrapper(array, *args, **kwargs)
   1794         if isinstance(array, pa.ChunkedArray):
-> 1795             return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
   1796         else:

[/usr/local/lib/python3.10/dist-packages/datasets/table.py](https://localhost:8080/#) in <listcomp>(.0)
   1794         if isinstance(array, pa.ChunkedArray):
-> 1795             return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
   1796         else:

[/usr/local/lib/python3.10/dist-packages/datasets/table.py](https://localhost:8080/#) in cast_array_to_feature(array, feature, allow_primitive_to_str, allow_decimal_to_str)
   2101     elif not isinstance(feature, (Sequence, dict, list, tuple)):
-> 2102         return array_cast(
   2103             array,

[/usr/local/lib/python3.10/dist-packages/datasets/table.py](https://localhost:8080/#) in wrapper(array, *args, **kwargs)
   1796         else:
-> 1797             return func(array, *args, **kwargs)
   1798 

[/usr/local/lib/python3.10/dist-packages/datasets/table.py](https://localhost:8080/#) in array_cast(array, pa_type, allow_primitive_to_str, allow_decimal_to_str)
   1947         if pa.types.is_null(pa_type) and not pa.types.is_null(array.type):
-> 1948             raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
   1949         return array.cast(pa_type)

TypeError: Couldn't cast array of type string to null


The above exception was the direct cause of the following exception:

DatasetGenerationError                    Traceback (most recent call last)

[<ipython-input-353-e02f83980611>](https://localhost:8080/#) in <cell line: 1>()
----> 1 dd = load_dataset("json", data_files=["TEST.json"])

[/usr/local/lib/python3.10/dist-packages/datasets/load.py](https://localhost:8080/#) in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, keep_in_memory, save_infos, revision, token, streaming, num_proc, storage_options, trust_remote_code, **config_kwargs)
   2094 
   2095     # Download and prepare data
-> 2096     builder_instance.download_and_prepare(
   2097         download_config=download_config,
   2098         download_mode=download_mode,

[/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in download_and_prepare(self, output_dir, download_config, download_mode, verification_mode, dl_manager, base_path, file_format, max_shard_size, num_proc, storage_options, **download_and_prepare_kwargs)
    922                     if num_proc is not None:
    923                         prepare_split_kwargs["num_proc"] = num_proc
--> 924                     self._download_and_prepare(
    925                         dl_manager=dl_manager,
    926                         verification_mode=verification_mode,

[/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in _download_and_prepare(self, dl_manager, verification_mode, **prepare_split_kwargs)
    997             try:
    998                 # Prepare split will record examples associated to the split
--> 999                 self._prepare_split(split_generator, **prepare_split_kwargs)
   1000             except OSError as e:
   1001                 raise OSError(

[/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in _prepare_split(self, split_generator, file_format, num_proc, max_shard_size)
   1738             job_id = 0
   1739             with pbar:
-> 1740                 for job_id, done, content in self._prepare_split_single(
   1741                     gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
   1742                 ):

[/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in _prepare_split_single(self, gen_kwargs, fpath, file_format, max_shard_size, job_id)
   1894             if isinstance(e, DatasetGenerationError):
   1895                 raise
-> 1896             raise DatasetGenerationError("An error occurred while generating the dataset") from e
   1897 
   1898         yield job_id, True, (total_num_examples, total_num_bytes, writer._features, num_shards, shard_lengths)

DatasetGenerationError: An error occurred while generating the dataset
```

</details>

### Steps to reproduce the bug

```python
import json
from datasets import load_dataset

with open("TEST.json", "w") as f:
    row = {"ballast": "qwerty" * 1000, "b": None}
    row_str = json.dumps(row) + "\n"
    line_size = len(row_str)
    chunk_size = 10 << 20
    lines_in_chunk = chunk_size // line_size + 1
    print(f"Writing {lines_in_chunk} lines")
    for i in range(lines_in_chunk):
        f.write(row_str)
    null_row = {"ballast": "Gotcha", "b": "Not Null"}
    f.write(json.dumps(null_row) + "\n")

load_dataset("json", data_files=["TEST.json"])
```

### Expected behavior

Concatenation of the chunks without errors

### Environment info

- `datasets` version: 3.0.1
- Platform: Linux-6.1.85+-x86_64-with-glibc2.35
- Python version: 3.10.12
- `huggingface_hub` version: 0.24.7
- PyArrow version: 16.1.0
- Pandas version: 2.2.2
- `fsspec` version: 2024.6.1