[BUG] With Pandas 2.0.0, `load_dataset` raises `TypeError: read_csv() got an unexpected keyword argument 'mangle_dupe_cols'`
Thanks for reporting, @keyboardAnt.

We haven't noticed any crash in our CI tests. Could you please indicate specifically the `load_dataset` command that crashes in your side, so that we can reproduce it? This has been fixed in `datasets` 2.11 I am still getting this bug with the latest pandas and datasets lib installed. Anyone else?
```
from datasets import load_dataset

dataset = load_dataset("csv", data_files={"train":"/kaggle/working/train.csv", "test":"/kaggle/working/test.csv"})
print(dataset)



---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[5], line 3
      1 from datasets import load_dataset
----> 3 dataset = load_dataset("csv", data_files={"train":"/kaggle/working/train.csv", "test":"/kaggle/working/test.csv"})
      4 print(dataset)

File /opt/conda/lib/python3.10/site-packages/datasets/load.py:1691, 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, **config_kwargs)
   1688 try_from_hf_gcs = path not in _PACKAGED_DATASETS_MODULES
   1690 # Download and prepare data
-> 1691 builder_instance.download_and_prepare(
   1692     download_config=download_config,
   1693     download_mode=download_mode,
   1694     ignore_verifications=ignore_verifications,
   1695     try_from_hf_gcs=try_from_hf_gcs,
   1696     use_auth_token=use_auth_token,
   1697 )
   1699 # Build dataset for splits
   1700 keep_in_memory = (
   1701     keep_in_memory if keep_in_memory is not None else is_small_dataset(builder_instance.info.dataset_size)
   1702 )

File /opt/conda/lib/python3.10/site-packages/datasets/builder.py:605, in DatasetBuilder.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)
    603         logger.warning("HF google storage unreachable. Downloading and preparing it from source")
    604 if not downloaded_from_gcs:
--> 605     self._download_and_prepare(
    606         dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
    607     )
    608 # Sync info
    609 self.info.dataset_size = sum(split.num_bytes for split in self.info.splits.values())

File /opt/conda/lib/python3.10/site-packages/datasets/builder.py:694, in DatasetBuilder._download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
    690 split_dict.add(split_generator.split_info)
    692 try:
    693     # Prepare split will record examples associated to the split
--> 694     self._prepare_split(split_generator, **prepare_split_kwargs)
    695 except OSError as e:
    696     raise OSError(
    697         "Cannot find data file. "
    698         + (self.manual_download_instructions or "")
    699         + "\nOriginal error:\n"
    700         + str(e)
    701     ) from None

File /opt/conda/lib/python3.10/site-packages/datasets/builder.py:1151, in ArrowBasedBuilder._prepare_split(self, split_generator)
   1149 generator = self._generate_tables(**split_generator.gen_kwargs)
   1150 with ArrowWriter(features=self.info.features, path=fpath) as writer:
-> 1151     for key, table in logging.tqdm(
   1152         generator, unit=" tables", leave=False, disable=True  # not logging.is_progress_bar_enabled()
   1153     ):
   1154         writer.write_table(table)
   1155     num_examples, num_bytes = writer.finalize()

File /opt/conda/lib/python3.10/site-packages/tqdm/notebook.py:249, in tqdm_notebook.__iter__(self)
    247 try:
    248     it = super(tqdm_notebook, self).__iter__()
--> 249     for obj in it:
    250         # return super(tqdm...) will not catch exception
    251         yield obj
    252 # NB: except ... [ as ...] breaks IPython async KeyboardInterrupt

File /opt/conda/lib/python3.10/site-packages/tqdm/std.py:1170, in tqdm.__iter__(self)
   1167 # If the bar is disabled, then just walk the iterable
   1168 # (note: keep this check outside the loop for performance)
   1169 if self.disable:
-> 1170     for obj in iterable:
   1171         yield obj
   1172     return

File /opt/conda/lib/python3.10/site-packages/datasets/packaged_modules/csv/csv.py:154, in Csv._generate_tables(self, files)
    152 dtype = {name: dtype.to_pandas_dtype() for name, dtype in zip(schema.names, schema.types)} if schema else None
    153 for file_idx, file in enumerate(files):
--> 154     csv_file_reader = pd.read_csv(file, iterator=True, dtype=dtype, **self.config.read_csv_kwargs)
    155     try:
    156         for batch_idx, df in enumerate(csv_file_reader):

TypeError: read_csv() got an unexpected keyword argument 'mangle_dupe_cols'``` Feel free to update `datasets` to fix this issue

```
pip install -U datasets
``` I am still having the same issue with the version >= 2.14 Edit: Sorry, I found that our version is 2.2.1. Please ignore the following comment. This issue was already solved by this line:
https://github.com/huggingface/datasets/blob/bf02cff8d70180a9e89328961ded9e3d8510fd22/src/datasets/packaged_modules/csv/csv.py#L18

> This issue still exists as you can see in version 2.14:
> https://github.com/huggingface/datasets/blob/bf02cff8d70180a9e89328961ded9e3d8510fd22/src/datasets/packaged_modules/csv/csv.py#L35
> https://github.com/huggingface/datasets/blob/bf02cff8d70180a9e89328961ded9e3d8510fd22/src/datasets/packaged_modules/csv/csv.py#L84
> that "mangle_dupe_cols" still exists in the arguments.
> 
> And this error occurs at this line:
> https://github.com/huggingface/datasets/blob/bf02cff8d70180a9e89328961ded9e3d8510fd22/src/datasets/packaged_modules/csv/csv.py#L185
> where
> ```python
> file == '~/llama/llama-recipes/recipes/finetuning/gtrain_10k.csv'
> dtype == None
> self.config.pd_read_csv_kwargs == {
>     "sep": ",",
>     "header": "infer",
>     "index_col": None,
>     "usecols": None,
>     "mangle_dupe_cols": True,
>     "engine": None,
>     "true_values": None,
>     "false_values": None,
>     "skipinitialspace": False,
>     "skiprows": None,
>     "nrows": None,
>     "na_values": None,
>     "keep_default_na": True,
>     "na_filter": True,
>     "verbose": False,
>     "skip_blank_lines": True,
>     "thousands": None,
>     "decimal": ".",
>     "lineterminator": None,
>     "quotechar": '"',
>     "quoting": 0,
>     "escapechar": None,
>     "comment": None,
>     "encoding": None,
>     "dialect": None,
>     "skipfooter": 0,
>     "doublequote": True,
>     "memory_map": False,
>     "float_precision": None,
>     "chunksize": 10000,
> }
> ```
> for me.
> 
> Here is where we got the error: https://github.com/meta-llama/llama-recipes/issues/426
The `load_dataset` function with Pandas `1.5.3` has no issue (just a FutureWarning) but crashes with Pandas `2.0.0`.
For your convenience, I opened a draft Pull Request to fix it quickly: https://github.com/huggingface/datasets/pull/5745

---

* The FutureWarning mentioned above: 
```
FutureWarning: the 'mangle_dupe_cols' keyword is deprecated and will be removed in a future version. Please take steps to stop the use of 'mangle_dupe_cols'
```