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 81, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
~~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
cls = get_filesystem_class(protocol)
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
raise ValueError(f"Protocol not known: {protocol}")
ValueError: Protocol not known: memory
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 66, 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.
VERB Data
Portable, sharded text-to-image training stages used by the VERB project. Each stage contains original image bytes, SenseNova-compatible JSONL annotations, a portable manifest, a file index, and per-shard SHA-256 metadata.
This public repository supports reproducible research. The packaged sources do not share one uniform VERB license; users must follow each upstream source's terms and review redistribution requirements before republishing the data.
Upstream sources
| VERB source | Upstream dataset | Dataset-card terms |
|---|---|---|
blip3o_60k |
BLIP3o/BLIP3o-60k |
Apache-2.0 |
blip3o_pretrain_journeydb |
BLIP3o/BLIP3o-Pretrain-JourneyDB |
Apache-2.0 |
dalle3_llama32 |
CaptionEmporium/dalle3-llama3.2-11b |
CC-BY-SA-4.0 |
cc12m_llavanext_wds captions |
CaptionEmporium/conceptual-captions-cc12m-llavanext |
CC-BY-SA-4.0 |
cc12m_llavanext_wds images |
pixparse/cc12m-wds |
Conceptual 12M terms |
sharegpt4o_t2i |
FreedomIntelligence/ShareGPT-4o-Image |
Apache-2.0 |
uniworld_osp1024 |
LanguageBind/UniWorld-V1 |
MIT |
Users must follow the terms of every included upstream source.
Stage layout
stage1_hq_100k/
stage2_balanced_500k/
stage3_quality_100k/
package.json
manifest.portable.json
files.jsonl
annotations/
shards/images-*.tar
After downloading one stage, use VERB's
scripts/data/package_t2i_stage.py restore command to verify, extract, and
render an absolute-path manifest.json for training.
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