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 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.
MOREdit E8 Test: 718 Single-Target + 47 Compound Cases
Public research distribution for the MOREdit benchmark.
- 718 single-target queries over 158 images
- 552 single-row ordinal queries
- 166 front/back-row-qualified queries
- 47 active compound cases with 102 target operations
- 39 two-step cases
- 8 three-step cases
- Includes source images, target masks, annotations, portable grounding JSONL,
row-person inventories, build/correction metadata, bundle checksums, and
verify_bundle.py - The archive and legacy multi-target annotation filename retain
m48/_48for compatibility; the active manifest contains 47 cases becauseM-0029was excluded during data quality review. - Archive SHA256:
cc828401d28e71be80e2680305f4e4ee1d747133e89e9562613a3c3708dc76ea
This revision incorporates the disclosed 2026-07-16 prompt/data corrections:
- active row-qualified prompts use natural
front row/back rowwording; - former vague quality-enhancement instructions were replaced with a concrete Japanese impasto-style anime edit;
- corrected compound annotations for
M-0025andM-0046; - excluded unsuitable case
M-0029.
Download and verify:
sha256sum MOREdit_e8_test_718_plus_m48_20260716.tar.gz
tar -xzf MOREdit_e8_test_718_plus_m48_20260716.tar.gz
cd MOREdit_e8_test_718_plus_m48_20260716
python verify_bundle.py
Expected verification summary:
passed: true
records: 718
multi_target_cases: 47
multi_target_operations: 102
missing/checksum/prompt/multi/inventory errors: 0
Do not tune methods, prompts, thresholds, retry policies, evaluators, metrics, or sample selection on this test bundle. Existing MOREdit engineering runs have test-output exposure and must not be presented as blind formal results.
Source images retain their upstream dataset terms. Review those terms before redistributing or using the raw images outside research evaluation.
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