Datasets:
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
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 85, in _split_generators
pa.Table.from_pylist(cast_to_python_objects([example], only_1d_for_numpy=True))
~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 2044, in pyarrow.lib._Tabular.from_pylist
File "pyarrow/table.pxi", line 6401, in pyarrow.lib._from_pylist
return cls.from_arrays(arrays, names, metadata=metadata)
File "pyarrow/table.pxi", line 4868, in pyarrow.lib.Table.from_arrays
converted_arrays = _sanitize_arrays(arrays, names, schema, metadata,
File "pyarrow/table.pxi", line 1611, in pyarrow.lib._sanitize_arrays
converted_arrays = _schema_from_arrays(arrays, names, metadata,
File "pyarrow/table.pxi", line 1592, in pyarrow.lib._schema_from_arrays
val = array(val)
File "pyarrow/array.pxi", line 400, in pyarrow.lib.array
File "pyarrow/array.pxi", line 46, in pyarrow.lib._sequence_to_array
chunked = GetResultValue(
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowTypeError: Expected bytes, got a 'int' object
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.
DualHeads synthetic training-data collection
Private-first collection. Public redistribution is not cleared. Review the applicable generator terms, third-party content, and model licenses before changing repository visibility.
This repository groups synthetic images and training-ready SD3.5 VAE representations by source benchmark. Each subset contains its own metadata, provenance, checksums, missing-item records, and loading instructions.
Subsets
| Subset | Status | Prompts | Available images | Description |
|---|---|---|---|---|
OCR/ |
Complete | 19,653 | 19,625 | OCR-oriented prompts, raw PNG shards, PaddleOCR scores, and SD3.5 latent packs |
Geneval/ |
Complete | 50,000 | 50,000 | GenEval-style compositional prompts, raw PNG shards, dense GenEval scores, and SD3.5 latent packs |
Load the OCR images
from datasets import load_dataset
ocr = load_dataset(
"webdataset",
data_files={"train": "hf://datasets/Yuanzhi/DualHeads/OCR/raw/train-*.tar"},
split="train",
streaming=True,
)
sample = next(iter(ocr))
image = sample["png"]
metadata = sample["json"]
The GenEval images load the same way from hf://datasets/Yuanzhi/DualHeads/Geneval/raw/train-*.tar.
See OCR/README.md and Geneval/README.md for statistics, latent loading, provenance, limitations, and
licensing details.
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