[AutoGPTQ] The notebook tutorial of AutoGPTQ is not working.
Author: DjangoPeng
Pull request: no

### System Info

System Info:

- `transformers` version: 4.37.0.dev0
- Platform: Linux-4.4.0-210-generic-x86_64-with-glibc2.23
- Python version: 3.11.5
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.0
- Accelerate version: 0.26.1
- Accelerate config:    not found
- PyTorch version (GPU): 2.1.2+cu121 (True)


### Who can help?

@SunMarc and @younesbelkada

### Information

- [X] The official example scripts
- [ ] My own modified scripts

### Tasks

- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)

### Reproduction

The official notebook introduced by [AutoGPTQ docs](https://huggingface.co/docs/transformers/quantization#autogptq) is not working after upgrading Transformers and dependencies.

I estimate that this should be an incompatible issue caused by the update of `BuilderConfig`. It can be easily reproduced in Google Colab [here](https://colab.research.google.com/drive/1_TIrmuKOFhuRRiTWN94iLKUFu6ZX4ceb?usp=sharing).

```shell
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
[<ipython-input-3-f66cf2cc3929>](https://localhost:8080/#) in <cell line: 14>()
     12 
     13 tokenizer = AutoTokenizer.from_pretrained(model_id)
---> 14 quant_model = AutoModelForCausalLM.from_pretrained(model_id, quantization_config=quantization_config, device_map='auto')

9 frames
[/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in _create_builder_config(self, config_name, custom_features, **config_kwargs)
    590             builder_config = self.builder_configs.get(config_name)
    591             if builder_config is None and self.BUILDER_CONFIGS:
--> 592                 raise ValueError(
    593                     f"BuilderConfig '{config_name}' not found. Available: {list(self.builder_configs.keys())}"
    594                 )

ValueError: BuilderConfig 'allenai--c4' not found. Available: ['en', 'en.noblocklist', 'en.noclean', 'realnewslike', 'multilingual', 'af', 'am', 'ar', 'az', 'be', 'bg', 'bg-Latn', 'bn', 'ca', 'ceb', 'co', 'cs', 'cy', 'da', 'de', 'el', 'el-Latn', 'en-multi', 'eo', 'es', 'et', 'eu', 'fa', 'fi', 'fil', 'fr', 'fy', 'ga', 'gd', 'gl', 'gu', 'ha', 'haw', 'hi', 'hi-Latn', 'hmn', 'ht', 'hu', 'hy', 'id', 'ig', 'is', 'it', 'iw', 'ja', 'ja-Latn', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'ku', 'ky', 'la', 'lb', 'lo', 'lt', 'lv', 'mg', 'mi', 'mk', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', 'no', 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'ru-Latn', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zh-Latn', 'zu']
```

### Expected behavior

Fix and identify the root cause.

Comments:
cc @SunMarc - let me know if you want me to have a look at this one

I had the similar issue too. It would be great if someone can take a look at this.

There is a builder error on "allenai--c4" when I use the following code snippet:

```python

raw_datasets = load_dataset(
        "allenai/c4",
        "allenai--c4",
        data_files={
            "validation": "en/c4-validation.00000-of-00008.json.gz",
        },
    )

```

I found commenting out `allenai--c4` can solve the issue, but the building time seems become much longer than before.

Hi @DjangoPeng, this is due to a breaking change in datasets library. See related [thread](https://huggingface.co/datasets/allenai/c4/discussions/7).The issue will be fixed after this [PR](https://github.com/huggingface/optimum/pull/1646) is merged (need to install optimum from source) and I recommend you installing the latest version of datasets. The building time should be faster with it.  In the meantime, I am switching the the dataset `c4` -> `wikitext2` in the notebook since I don't want users to be blocked by this. 

SGTM.

Thanks for your reply. :)

Thanks a lot @SunMarc ! 🎉 

This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) are likely to be ignored.

I hit an issue( `... can not find xxx on aws3`) when I use `wikitext2 `.  Here, I'd like to append more options for the datasets: [‘wikitext2’,‘c4’,‘c4-new’,‘ptb’,‘ptb-new’]. All these datasets are used in GPTQ paper. So, it is ok to use it. I change to `c4-new` and it works well. 

Source:
https://huggingface.co/docs/transformers/v4.33.0/en/main_classes/quantization#transformers.GPTQConfig.dataset