I'm not able to replicate the error. What version of datasets are you using?

Here is the env file for the conda env I used: https://github.com/ShawhinT/YouTube-Blog/blob/main/LLMs/fine-tuning/ft-env.yml

I got the same issue when using Google Colab

Downloading and preparing dataset None/None to /root/.cache/huggingface/datasets/shawhin___parquet/shawhin--imdb-truncated-8ce402c82689e29d/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec...
Downloading data files: 100%
3/3 [00:00<00:00, 120.03it/s]
Extracting data files: 100%
3/3 [00:00<00:00, 120.12it/s]
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-11-7e098517d633> in <cell line: 4>()
      2 dataset_name = "shawhin/imdb-truncated"
      3 
----> 4 dataset = load_dataset(dataset_name)
      5 
      6 dataset

9 frames
/usr/lib/python3.10/posixpath.py in basename(p)
    140 def basename(p):
    141     """Returns the final component of a pathname"""
--> 142     p = os.fspath(p)
    143     sep = _get_sep(p)
    144     i = p.rfind(sep) + 1

TypeError: expected str, bytes or os.PathLike object, not NoneType

Try using datasets version 2.14.4

@shawhin I got the same error when using datasets 2.14.4

You can try using the conda env file linked below. If that doesn't fit it, you can use the original dataset: https://huggingface.co/datasets/imdb

https://github.com/ShawhinT/YouTube-Blog/blob/main/LLMs/fine-tuning/ft-env.yml

Hi, I had this issue resolve by manually downloading the parquet files provided and uploading it to colab. PFB the code below.

!curl -X GET
"https://huggingface.co/api/datasets/shawhin/imdb-truncated/parquet/default/train"

import pandas as pd
from datasets import Dataset

Load Parquet file into a pandas DataFrame

parquet_file_path = "0000.parquet"
df = pd.read_parquet(parquet_file_path)

Convert DataFrame to datasets Dataset

dataset = Dataset.from_pandas(df)

Glad it's working, thanks for sharing your solution!