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.
SFT Training Data
This repository distributes the fixed 2026-10-15 training archive used for multimodal supervised fine-tuning. It contains prepared training and validation records and their image assets. The archive root is bundle/.
The prepared split contains 18,305 training records and 1,122 validation records. A further 1,758 failed construction records are excluded from these splits. This is a custom training archive; inspect the extracted schema before loading it into a training pipeline.
Files
sft_training_data_20261015.tar: complete unmodified TAR archive (22,269,726,720 bytes).SHA256SUMS: archive integrity checksum.
Download and extract
hf download zjlergf/sft-training-data --repo-type dataset --local-dir ./sft_training_data
cd sft_training_data
sha256sum -c SHA256SUMS
tar -xf sft_training_data_20261015.tar
For a reproducible download, add --revision COMMIT_ID using the immutable commit recorded by the upload receipt.
Provenance and reuse
The archive contains derived multimodal question-answering examples. Underlying source datasets retain their own licenses and access conditions. This repository does not grant a new blanket license over third-party content; consult the source records and original dataset terms before redistribution or reuse.
Integrity
Archive SHA256: c2430776ff6ffc5c123d7d502e33fd526dac04ab9533dc06da6ed97ee4fe8154.
- Downloads last month
- 23