Datasets in run_translation.py
Author: SoyGema
Pull request: no

### System Info

Hello there! 👋
I'm following along the [run_translation.py ](https://github.com/huggingface/transformers/blob/main/examples/tensorflow/translation/run_translation.py) example. 
Thanks for making it! It expands gratefully from the translation docs [tutorial ](https://huggingface.co/docs/transformers/tasks/translation)


### Context
Managed to configure flags for training, When launching in CLI

`
python train_model.py --model_name_or_path '/Users/.../The-Lord-of-The-Words-The-two-frameworks/src/models/t5-small'  --output_dir '/en-ru-model' --dataset_name '/Users/.../The-Lord-of-The-Words-The-two-frameworks/src/data/opus_books' --dataset_config_name en-ru --do_train --source_lang en --target_lang ru --num_train_epochs 1 --overwrite_output_dir
`

the following error appears
```
raise TypeError("Dataset argument should be a datasets.Dataset!")
TypeError: Dataset argument should be a datasets.Dataset!
```
Then read [forum recommendation](https://discuss.huggingface.co/t/quick-tour-train-using-tensorflow-gives-dataset-argument-should-be-a-datasets-dataset-error/33657), tried to launch the training commenting the `tf_eval_dataset `creation , and launched training. The **model trained** without having the [eval_dataset](https://github.com/huggingface/transformers/blob/main/examples/tensorflow/translation/run_translation.py#L535). 
When I passed the flag `--do_eval` it raised error flagged [here](https://github.com/huggingface/transformers/blob/main/examples/tensorflow/translation/run_translation.py#L444)

 I downloaded the [opus books dataset](https://huggingface.co/datasets/opus_books) and I saw in the README.md that it don´t have a validation split
```
- config_name: en-ru
  features:
  - name: id
    dtype: string
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - ru
  splits:
  - name: train
    num_bytes: 5190880
    num_examples: 15496
  download_size: 1613419
  dataset_size: 5190880

```
### Issue 1. Reproducibility coming from tutorial

* Can you please confirm that this **example runs straightforward** with [WMT19](https://huggingface.co/datasets/wmt19) and that I might not have this issue taking this dataset and not the opus books one? 

* Would you be willing to accept a PR with a comment in the example  either pointing to the readme table or making more explicit that this example comes with a  specific dataset with its link around [here](https://github.com/huggingface/transformers/blob/main/examples/tensorflow/translation/run_translation.py#L311) ? Is there a way you think I could help those users having the path from docs tutorial to script example ?

 Am I missing something ? I think it's dataset related but Im not sure anymore... 


### Issue 2. Broken link

Found a [broken link](https://huggingface.co/docs/datasets/loading_datasets.html.), if you are ok i´ll fix it with [this](https://huggingface.co/docs/datasets/loading)



#### Dependencies 
```
transformers==4.31.0.dev0
tensorflow-macos==2.10.0
```

#### Tangential and mental model
I'm actually following [this script](https://github.com/SoyGema/The-Lord-of-The-Words-The-two-frameworks/blob/main/src/models/train_model.py) which is a copy,  that came recommended  from #24254  . Please let me know if something has changed. Im seeing the [history](https://github.com/huggingface/transformers/commits/main/examples/tensorflow/translation/run_translation.py) and last commit seems from Jun7 and mine is Jun13
I grouped the broken link with dataset in one issue as it might impact 1 PR for Reproducibility, but let me know if you prefer them separately.

Thanks so so much for your help 🙏 & thanks for the library!


### Who can help?

_No response_

### Information

- [X] The official example scripts
- [X] My own modified scripts

### Tasks

- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)

### Reproduction

1. run the script
2. download opus books dataset
3. config flags
4. run script with and without eval_dataset logic

### Expected behavior

- Dataset ? Either with link in README.md or in script commented?
- Correct link for 

Tagging @sgugger 


Comments:
cc @Rocketknight1 since this is a TensorFlow example.

Hey @Rocketknight1  👋 I think we crossed in #24341   .  Thanks for the Notebook repository discovery . 
Was a nice quick fix !

I´ve given another try to some vector thoughts posted in the issue.
* Regarding **reproducibility**. Read the script again, and tried to get some distance and analyze it as an isolated example coming from the library. The script is quite _structured_ and _documentation comments are well-suited_, it _generalizes really well_.  Adding here the dataset name wouldn´t really work . Besides, if the dataset associated to the examples changes, it would require a change. At this point maybe would add a small sentence with a recommendation to go through the README.md , so the example remains general/scalable across various datatasets? But minor in retrospective. Makes sense to you ? 
* Sent a PR to fix the broken link

Thanks for the script structure and the guidance! 🙏


### Comments on Issue 1
Currently the run_translation.py script works well with [wtm16](https://huggingface.co/datasets/wmt16) dataset , as it provides splitting for train, test and validation . 


I´m closing this issue, as the dataset for running the script has been found, and the broken link was fixed through a PR #24594