The Document of Pipelines are not complete.
### System Info

transformers 4.24.0

### Who can help?

@sgugger @stevhliu 

### Information

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

### Tasks

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

### Reproduction

https://huggingface.co/docs/transformers/main/en/main_classes/pipelines#transformers.FillMaskPipeline.__call__
The "\_\_call\_\_" function only describes what will happen when I pass a list of samples into the pipeline. However, this function also receives other input, such as a dataset: https://huggingface.co/docs/transformers/main/en/main_classes/pipelines#pipeline-batching

The document currently doesn't have a description of what will happen if I pass a dataset to the pipeline. This bothers me a lot. For example, when I pass a dataset and use batch_size=64 in this pipeline, I expect that I will get the results of 64 samples. However, the pipeline only returns the result of the next sample and I need to iterate 64 times to get the results of the whole batch. This doesn't involve any fatal error but is very confusing.

### Expected behavior

add a description of passing a dataset to a pipeline.
cc @Narsil <|||||>Is this doc more helpful ?

https://huggingface.co/docs/transformers/v4.24.0/en/main_classes/pipelines

We definitely need to update the docs for pipeline overall.

<|||||>This doc still doesn't mention that results will be returned one by one (instead of in a batch) if I pass a dataset to the pipeline.<|||||>https://github.com/huggingface/transformers/pull/20437

Don't hesitate to comment on the PR if you feel it's not clear enough.<|||||>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.