ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py)

### Describe the bug

While importing from packages getting the error
Code:

```
import os
import torch
from datasets import load_dataset, Dataset
from transformers import (
    AutoModelForCausalLM,
    AutoTokenizer,
    BitsAndBytesConfig,
    HfArgumentParser,
    TrainingArguments,
    pipeline,
    logging
)
from peft import LoraConfig, PeftModel
from trl import SFTTrainer
from huggingface_hub import login
import pandas as pd
```

Error:
````
---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
Cell In[5], line 14
      4 from transformers import (
      5     AutoModelForCausalLM,
      6     AutoTokenizer,
   (...)
     11     logging
     12 )
     13 from peft import LoraConfig, PeftModel
---> 14 from trl import SFTTrainer
     15 from huggingface_hub import login
     16 import pandas as pd

File /opt/conda/lib/python3.10/site-packages/trl/__init__.py:21
      8 from .import_utils import (
      9     is_diffusers_available,
     10     is_npu_available,
   (...)
     13     is_xpu_available,
     14 )
     15 from .models import (
     16     AutoModelForCausalLMWithValueHead,
     17     AutoModelForSeq2SeqLMWithValueHead,
     18     PreTrainedModelWrapper,
     19     create_reference_model,
     20 )
---> 21 from .trainer import (
     22     DataCollatorForCompletionOnlyLM,
     23     DPOTrainer,
     24     IterativeSFTTrainer,
     25     PPOConfig,
     26     PPOTrainer,
     27     RewardConfig,
     28     RewardTrainer,
     29     SFTTrainer,
     30 )
     33 if is_diffusers_available():
     34     from .models import (
     35         DDPOPipelineOutput,
     36         DDPOSchedulerOutput,
     37         DDPOStableDiffusionPipeline,
     38         DefaultDDPOStableDiffusionPipeline,
     39     )

File /opt/conda/lib/python3.10/site-packages/trl/trainer/__init__.py:44
     42 from .ppo_trainer import PPOTrainer
     43 from .reward_trainer import RewardTrainer, compute_accuracy
---> 44 from .sft_trainer import SFTTrainer
     45 from .training_configs import RewardConfig

File /opt/conda/lib/python3.10/site-packages/trl/trainer/sft_trainer.py:23
     21 import torch.nn as nn
     22 from datasets import Dataset
---> 23 from datasets.arrow_writer import SchemaInferenceError
     24 from datasets.builder import DatasetGenerationError
     25 from transformers import (
     26     AutoModelForCausalLM,
     27     AutoTokenizer,
   (...)
     33     TrainingArguments,
     34 )

ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py

````

transformers version: 4.36.2
python version: 3.10.12
datasets version: 2.16.1

### Steps to reproduce the bug

1. Install packages
```
!pip install -U datasets trl accelerate peft bitsandbytes transformers trl huggingface_hub
```

2. import packages
```
import os
import torch
from datasets import load_dataset, Dataset
from transformers import (
    AutoModelForCausalLM,
    AutoTokenizer,
    BitsAndBytesConfig,
    HfArgumentParser,
    TrainingArguments,
    pipeline,
    logging
)
from peft import LoraConfig, PeftModel
from trl import SFTTrainer
from huggingface_hub import login
import pandas as pd
```

### Expected behavior

No error while importing

### Environment info

- `datasets` version: 2.16.0
- Platform: Linux-5.15.133+-x86_64-with-glibc2.35
- Python version: 3.10.12
- `huggingface_hub` version: 0.20.1
- PyArrow version: 11.0.0
- Pandas version: 2.1.4
- `fsspec` version: 2023.10.0