Synchronize parameters for various datasets

### Describe the bug

[IterableDatasetDict](https://huggingface.co/docs/datasets/v3.2.0/en/package_reference/main_classes#datasets.IterableDatasetDict.map) map function is missing the `desc` parameter. You can see the equivalent map function for [Dataset here](https://huggingface.co/docs/datasets/v3.2.0/en/package_reference/main_classes#datasets.Dataset.map).

There might be other parameters missing - I haven't checked.

### Steps to reproduce the bug

from datasets import Dataset, IterableDataset, IterableDatasetDict

ds = IterableDatasetDict({"train": Dataset.from_dict({"a": range(6)}).to_iterable_dataset(num_shards=3),
"validate": Dataset.from_dict({"a": range(6)}).to_iterable_dataset(num_shards=3)})

for d in ds["train"]:
print(d)

ds = ds.map(lambda x: {k: v+1 for k, v in x.items()}, desc="increment")

for d in ds["train"]:
print(d)

### Expected behavior

The description parameter should be available for all datasets (or none).

### Environment info

- `datasets` version: 3.2.0
- Platform: Linux-6.1.85+-x86_64-with-glibc2.35
- Python version: 3.11.11
- `huggingface_hub` version: 0.28.1
- PyArrow version: 17.0.0
- Pandas version: 2.2.2
- `fsspec` version: 2024.9.0