Question about the availability of datasets

Hello, many thanks for this great work jointly done by so many researchers!

I am trying out the RT-X dataset by running the code snippet from the colab tutorial. I successfully installed `tfds-nightly`. My runtime environment (related to tensorflow/tfds)
```
tensorflow-metadata 1.14.0
tfds-nightly 4.9.4.dev202401220044
```

But the dataset of rt-x (e.g. fractal_20220817_data) seems not to be included in the list of supported datasets as the output of the snippet of code said:

```
tensorflow_datasets.core.registered.DatasetNotFoundError: Dataset fractal20220817_data not found.

Check that: - if dataset was added recently, it may only be available in `tfds-nightly` - the dataset name is spelled correctly - dataset class defines all base class abstract methods - the module defining the dataset class is imported

```

Tried-out snippet:

```
import tensorflow_datasets as tfds
import tqdm

# optionally replace the DATASET_NAMES below with the list of filtered datasets from the google sheet
DATASET_NAMES = ['fractal_20220817_data', 'kuka', 'bridge', 'taco_play', 'jaco_play', 'berkeley_cable_routing', 'roboturk', 'nyu_door_opening_surprising_effectiveness', 'viola', 'berkeley_autolab_ur5', 'toto', 'language_table', 'columbia_cairlab_pusht_real', 'stanford_kuka_multimodal_dataset_converted_externally_to_rlds', 'nyu_rot_dataset_converted_externally_to_rlds', 'stanford_hydra_dataset_converted_externally_to_rlds', 'austin_buds_dataset_converted_externally_to_rlds', 'nyu_franka_play_dataset_converted_externally_to_rlds', 'maniskill_dataset_converted_externally_to_rlds', 'furniture_bench_dataset_converted_externally_to_rlds', 'cmu_franka_exploration_dataset_converted_externally_to_rlds', 'ucsd_kitchen_dataset_converted_externally_to_rlds', 'ucsd_pick_and_place_dataset_converted_externally_to_rlds', 'austin_sailor_dataset_converted_externally_to_rlds', 'austin_sirius_dataset_converted_externally_to_rlds', 'bc_z', 'usc_cloth_sim_converted_externally_to_rlds', 'utokyo_pr2_opening_fridge_converted_externally_to_rlds', 'utokyo_pr2_tabletop_manipulation_converted_externally_to_rlds', 'utokyo_saytap_converted_externally_to_rlds', 'utokyo_xarm_pick_and_place_converted_externally_to_rlds', 'utokyo_xarm_bimanual_converted_externally_to_rlds', 'robo_net', 'berkeley_mvp_converted_externally_to_rlds', 'berkeley_rpt_converted_externally_to_rlds', 'kaist_nonprehensile_converted_externally_to_rlds', 'stanford_mask_vit_converted_externally_to_rlds', 'tokyo_u_lsmo_converted_externally_to_rlds', 'dlr_sara_pour_converted_externally_to_rlds', 'dlr_sara_grid_clamp_converted_externally_to_rlds', 'dlr_edan_shared_control_converted_externally_to_rlds', 'asu_table_top_converted_externally_to_rlds', 'stanford_robocook_converted_externally_to_rlds', 'eth_agent_affordances', 'imperialcollege_sawyer_wrist_cam', 'iamlab_cmu_pickup_insert_converted_externally_to_rlds', 'uiuc_d3field', 'utaustin_mutex', 'berkeley_fanuc_manipulation', 'cmu_food_manipulation', 'cmu_play_fusion', 'cmu_stretch', 'berkeley_gnm_recon', 'berkeley_gnm_cory_hall', 'berkeley_gnm_sac_son']
DOWNLOAD_DIR = '~/tensorflow_datasets'

print(f"Downloading {len(DATASET_NAMES)} datasets to {DOWNLOAD_DIR}.")
for dataset_name in tqdm.tqdm(DATASET_NAMES):
_ = tfds.load(dataset_name, data_dir=DOWNLOAD_DIR)
```

The list of available datasets in the command line output:

```
tensorflow_datasets.core.registered.DatasetNotFoundError: Dataset fractal20220817_data not found. Available datasets: - abstract_reasoning - accentdb - aeslc - aflw2k3d - ag_news_subset - ai2_arc - ai2_arc_with_ir - amazon_us_reviews - anli - answer_equivalence - arc - asqa - asset - assin2 - bair_robot_pushing_small - bccd - beans - bee_dataset - beir - big_patent - bigearthnet - billsum - binarized_mnist - binary_alpha_digits - ble_wind_field - blimp - booksum - bool_q - bot_adversarial_dialogue - bucc - caltech101 - caltech_birds2010 - caltech_birds2011 - cardiotox - cars196 - cassava - cats_vs_dogs - celeb_a - celeb_a_hq - chexpert - cifar10 - cifar100 - cifar100_n - cifar10_1 - cifar10_corrupted - cifar10_h - cifar10_n - citrus_leaves - cityscapes - clevr - clic
- cmaterdb - coco - coco_captions - coil100 - colorectal_histology - colorectal_histology_large - common_voice - controlled_noisy_web_labels - corr2cause - crema_d - curated_breast_imaging_ddsm - cycle_gan - databricks_dolly - deep_weeds - dementiabank - diabetic_retinopathy_detection - div2k - dmlab - domainnet - downsampled_imagenet - dsprites - dtd - duke_ultrasound - e2e_cleaned - efron_morris75 - emnist - eurosat - fashion_mnist - flic - food101 - fuss - geirhos_conflict_stimuli - groove - gtzan - gtzan_music_speech - horses_or_humans - i_naturalist2017 - i_naturalist2018 - i_naturalist2021 - imagenet2012 - imagenet2012_corrupted - imagenet2012_fewshot - imagenet2012_multilabel - imagenet2012_real - imagenet2012_subset - imagenet_a - imagenet_lt - imagenet_pi - imagenet_r - imagenet_resized - imagenet_sketch - imagenet_v2 - imagenette - imagewang - imdb_reviews - irc_disentanglement - kddcup99 - kitti - kmnist - lambada - lfw
- librispeech - librispeech_lm - libritts - ljspeech - lm1b - lost_and_found - lsun - lvis - malaria - math_dataset - math_qa - mctaco - media_sum - mlqa - mnist - mnist_corrupted - natural_instructions - natural_questions - natural_questions_open - newsroom - nsynth - nyu_depth_v2 - ogbg_molpcba - omniglot - open_images_challenge2019_detection - open_images_v4 - openbookqa - opinion_abstracts - opinosis - opus - oxford_flowers102 - oxford_iiit_pet - para_crawl - pass - patch_camelyon - paws_wiki - paws_x_wiki - penguins - pet_finder - pg19 - piqa - places365_small - placesfull - plant_leaves - plant_village - plantae_k - protein_net - qa4mre - qasc - quac - quality - quickdraw_bitmap - race - radon - real_toxicity_prompts - reddit - reddit_disentanglement - reddit_tifu - ref_coco
- resisc45 - robomimic_mg - robomimic_mh - robomimic_ph - robonet - rock_paper_scissors - rock_you - s3o4d - salient_span_wikipedia - samsum - savee - scan - scene_parse150 - schema_guided_dialogue - sci_tail - scicite - scientific_papers - segment_anything - sentiment140 - shapes3d - sift1m - simpte - siscore - smallnorb - smartwatch_gestures - snli - so2sat - speech_commands - spoken_digit - squad - stanford_dogs - stanford_online_products - star_cfq - starcraft_video - stl10 - story_cloze - summscreen - sun397 - svhn_cropped - symmetric_solids - tatoeba - ted_hrlr_translate - ted_multi_translate - tedlium - tf_flowers - the300w_lp - tiny_shakespeare - titanic - trec - trivia_qa - uc_merced - universal_dependencies - user_libri_audio - vctk
- visual_domain_decathlon - voc - voxceleb - voxforge - waymo_open_dataset - webvid - wider_face - xtreme_pos - xtreme_s - yes_no
```

Could you please help me to figure out the problem with the availability of the RT-X dataset? Many thanks in advance!

Related issues (potentially):

- https://github.com/google-deepmind/open_x_embodiment/issues/29
- https://github.com/tensorflow/datasets/issues/5203