The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 80, in _split_generators
raise ValueError(
...<2 lines>...
)
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Ego3DLM checkpoints
Checkpoints and annotations for Ego3DLM: Ego-Human Motion Prediction with 3D-Aware LLM (ECCV 2026).
Code: github.com/jinyubae/Ego3DLM
Files
| Path | Size | Content |
|---|---|---|
stage3_grpo/stage3_grpo.ckpt |
1.94 GB | final Ego3DLM model (Stage III, GPT-2 medium) |
stage0_pqvae/stage0_pqvae.ckpt |
73 MB | motion PQ-VAE tokenizer (2 codebooks × 2048 codes of 32-D, temporal downsampling 4) |
evaluator/text_mot_match_trainset_only_len20/finest.tar |
246 MB | text–motion matching evaluator (trained on the train split, max. 20 words), used for R-precision, d_pg / d_pp and the GRPO matching reward |
annotations/ego3dlm_annotations.tar.gz |
6 MB | data splits, sample-id mapping, narrations, semantic scene QA, spatial (obstacle / free-space) labels, normalization statistics and instruction templates |
The checkpoints hold the model weights only (no optimizer state).
The annotation bundle does not contain the motion, video and 3D scene features. They are derived from Nymeria and are produced with the preprocessing code in the GitHub repository.
Download
From the root of the code repository:
bash scripts/download_release.sh
This places the files at
checkpoints/ego3dlm/stage3_grpo.ckpt
checkpoints/ego3dlm/stage0_pqvae.ckpt
checkpoints/evaluator/text_mot_match_trainset_only_len20/finest.tar
datasets/ego3dlm/ (annotation bundle)
obstacle_labels/ (spatial labels)
To download everything as is:
from huggingface_hub import snapshot_download
snapshot_download("jinyubae/Ego3DLM-checkpoints", repo_type="dataset", local_dir="ego3dlm_release")
License
The checkpoints and annotations are released under CC BY-NC 4.0. They are derived from the Nymeria dataset; please also follow its license and terms of use.
Citation
@inproceedings{bae2026ego3dlm,
title = {Ego-Human Motion Prediction with 3D-Aware LLM},
author = {Bae, Yujin and Jeong, Jaewoo and Kim, Hyeonseong and Yoon, Kuk-Jin},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2026}
}
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