A simple implementation of a mechanism to resume an IterableDataset.
This is WIP and untested.

Example:

```python
from datasets import Dataset, concatenate_datasets


ds = Dataset.from_dict({"a": range(5)}).to_iterable_dataset(num_shards=3)
ds = concatenate_datasets([ds] * 2)

print(f"{ds.state_dict()=}")
for i, example in enumerate(ds):
    print(example)
    if i == 6:
        state_dict = ds.state_dict()
ds.load_state_dict(state_dict)
print(f"{ds.state_dict()=}")
for example in ds:
    print(example)
```

returns

```
ds.state_dict()={'ex_iterable_idx': 0, 'ex_iterables': [{'shard_idx': 0, 'shard_example_idx': 0}, {'shard_idx': 0, 'shard_example_idx': 0}]}
{'a': 0}
{'a': 1}
{'a': 2}
{'a': 3}
{'a': 4}
{'a': 0}
{'a': 1}
{'a': 2}
{'a': 3}
{'a': 4}
ds.state_dict()={'ex_iterable_idx': 1, 'ex_iterables': [{'shard_idx': 3, 'shard_example_idx': 0}, {'shard_idx': 0, 'shard_example_idx': 2}]}
{'a': 2}
{'a': 3}
{'a': 4}
```
[Resumable IterableDataset] Add IterableDataset state_dict
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6658). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.