Fix rlds `episode_metadata`

[Tavish9]

This PR fixes rlds's build_info when episode_metadata is not None

Reproduce

from tensorflow_datasets.rlds import rlds_base
features = rlds_base.build_info(
    rlds_base.DatasetConfig(
        name="xxx",
        steps={xxx},
        episode_metadata_info={
            "test": tfds.features.Text()
        }
    ),
    self,
)
print(features)

FeaturesDict({
    'steps': Dataset({
        ...
    }),
    'test': Text(shape=(), dtype=string),
}),

Currently, the returned features will get rid of episode_metadata key, which is not consistent with widely used rlds dataset:

• robomimic
• bridge
• ...
• All datasets listed in official tensorflow datasets robotics

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[fineguy]

@Tavish9 thank for the PR!

IIUC, this changes the dataset info, so you need to change the example generation as well, see the failed tests.

[Tavish9]

@fineguy already fix

[fineguy]

@Tavish9 please fix the failed tests.

[Tavish9]

I also updated the logic of generate_examples, please check

[fineguy]

@Tavish9 please confirm locally that tests run successfully, this will be easier for the review.

[Tavish9]

@fineguy sorry for bothering you. I don't find any steps for local testing in README.

Could you please show me the way?

[fineguy]

@Tavish9 check this documentation: https://www.tensorflow.org/datasets/contribute#add_and_run_unittests

[Tavish9]

Already passed all tests in rlds.

[Tavish9]

@fineguy, it has been a very long time, take a look if you are free, thanks.