module 'pyarrow.lib' has no attribute 'ListViewType'
NONE
https://github.com/neurafusionai/Hugging_Face/blob/main/meta_opt_350m_customer_support_lora_v1.ipynb

couldnt train because of GPU
I didnt  pip install datasets -U
but looks like restarting worked
2024-08-20T12:06:20Z
https://github.com/huggingface/datasets/issues/7115#issuecomment-2298696129
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### Describe the bug

Code:
`!pipuninstall -y pyarrow
!pip install --no-cache-dir pyarrow

!pip uninstall -y pyarrow
!pip install pyarrow --no-cache-dir
!pip install --upgrade datasets transformers pyarrow

!pip install pyarrow.parquet
! pip install pyarrow-core libparquet

!pip install pyarrow --no-cache-dir
!pip install pyarrow
!pip install transformers
!pip install --upgrade datasets
!pip install datasets
! pip install pyarrow
!  pip install pyarrow.lib
! pip install pyarrow.parquet
!pip install transformers

import pyarrow as pa
print(pa.__version__)


from datasets import load_dataset
import pyarrow.parquet as pq
import pyarrow.lib as lib
import pandas as pd
from transformers import AutoTokenizer, AutoModelForSequenceClassification, Trainer, TrainingArguments
from datasets import load_dataset
from transformers import AutoTokenizer


! pip install pyarrow-core libparquet
# Load the dataset for content moderation
dataset = load_dataset("PolyAI/banking77")  # Example dataset for customer support

# Initialize the tokenizer
tokenizer = AutoTokenizer.from_pretrained("facebook/opt-350m")

# Tokenize the dataset
def tokenize_function(examples):
    return tokenizer(examples['text'], padding="max_length", truncation=True)

# Apply tokenization to the entire dataset
tokenized_datasets = dataset.map(tokenize_function, batched=True)

# Check the first few tokenized samples
print(tokenized_datasets['train'][0])
from transformers import AutoModelForSequenceClassification, Trainer, TrainingArguments

# Load the model
model = AutoModelForSequenceClassification.from_pretrained("facebook/opt-350m", num_labels=77)

# Define training arguments
training_args = TrainingArguments(
    output_dir="./results",
    per_device_train_batch_size=16,
    per_device_eval_batch_size=16,
    num_train_epochs=3,
    eval_strategy="epoch",  #
    save_strategy="epoch",
    logging_dir="./logs",
    learning_rate=2e-5,
)

# Initialize the Trainer
trainer = Trainer(
    model=model,
    args=training_args,
    train_dataset=tokenized_datasets["train"],
    eval_dataset=tokenized_datasets["test"],
)

# Train the model
trainer.train()

# Evaluate the model
trainer.evaluate()

` 


AttributeError                            Traceback (most recent call last)
[<ipython-input-23-60bed3143a93>](https://localhost:8080/#) in <cell line: 22>()
     20 
     21 
---> 22 from datasets import load_dataset
     23 import pyarrow.parquet as pq
     24 import pyarrow.lib as lib

5 frames
[/usr/local/lib/python3.10/dist-packages/datasets/__init__.py](https://localhost:8080/#) in <module>
     15 __version__ = "2.21.0"
     16 
---> 17 from .arrow_dataset import Dataset
     18 from .arrow_reader import ReadInstruction
     19 from .builder import ArrowBasedBuilder, BeamBasedBuilder, BuilderConfig, DatasetBuilder, GeneratorBasedBuilder

[/usr/local/lib/python3.10/dist-packages/datasets/arrow_dataset.py](https://localhost:8080/#) in <module>
     74 
     75 from . import config
---> 76 from .arrow_reader import ArrowReader
     77 from .arrow_writer import ArrowWriter, OptimizedTypedSequence
     78 from .data_files import sanitize_patterns

[/usr/local/lib/python3.10/dist-packages/datasets/arrow_reader.py](https://localhost:8080/#) in <module>
     27 
     28 import pyarrow as pa
---> 29 import pyarrow.parquet as pq
     30 from tqdm.contrib.concurrent import thread_map
     31 

[/usr/local/lib/python3.10/dist-packages/pyarrow/parquet/__init__.py](https://localhost:8080/#) in <module>
     18 # flake8: noqa
     19 
---> 20 from .core import *

[/usr/local/lib/python3.10/dist-packages/pyarrow/parquet/core.py](https://localhost:8080/#) in <module>
     31 
     32 try:
---> 33     import pyarrow._parquet as _parquet
     34 except ImportError as exc:
     35     raise ImportError(

/usr/local/lib/python3.10/dist-packages/pyarrow/_parquet.pyx in init pyarrow._parquet()

AttributeError: module 'pyarrow.lib' has no attribute 'ListViewType'


### Steps to reproduce the bug

https://colab.research.google.com/drive/1HNbsg3tHxUJOHVtYIaRnNGY4T2PnLn4a?usp=sharing

### Expected behavior

Looks like there is an issue with datasets  and pyarrow

### Environment info

google colab
python
huggingface
Found existing installation: pyarrow 17.0.0
Uninstalling pyarrow-17.0.0:
  Successfully uninstalled pyarrow-17.0.0
Collecting pyarrow
  Downloading pyarrow-17.0.0-cp310-cp310-manylinux_2_28_x86_64.whl.metadata (3.3 kB)
Requirement already satisfied: numpy>=1.16.6 in /usr/local/lib/python3.10/dist-packages (from pyarrow) (1.26.4)
Downloading pyarrow-17.0.0-cp310-cp310-manylinux_2_28_x86_64.whl (39.9 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 39.9/39.9 MB 188.9 MB/s eta 0:00:00
Installing collected packages: pyarrow
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
cudf-cu12 24.4.1 requires pyarrow<15.0.0a0,>=14.0.1, but you have pyarrow 17.0.0 which is incompatible.
ibis-framework 8.0.0 requires pyarrow<16,>=2, but you have pyarrow 17.0.0 which is incompatible.
Successfully installed pyarrow-17.0.0
WARNING: The following packages were previously imported in this runtime:
  [pyarrow]
You must restart the runtime in order to use newly installed versions.