OO-LD/oold-quantities-lean-qwen4b-r16-s4000
Updated • 20
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/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 364, in pyarrow._json.read_json
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.ArrowInvalid: JSON parse error: Column(/@context/[]) changed from string to object in row 0
During handling of the above exception, another exception occurred:
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/json/json.py", line 101, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
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.
OO-LD quantity schemas
944 OO-LD schemas, one per QUDT quantity kind, each narrowing a shared
QuantityValue base with the units that kind admits. Generated from the QUDT
vocabulary.
Every quantity figure in oold-llm-bench was measured against this generation, which is why it is published rather than regenerated.
oold-bench fetch-corpus quantities --dest ./schemas
The download is checked against a digest pinned in the benchmark:
105d1bbe2e08140a33593201e8cffec5caa4026f32c1968c9cc9957038deacf6
over 944 files, name and content, in sorted order. A directory that does not hash to it is refused rather than used.
Why a digest and not a version
A second generation of this corpus exists and is not interchangeable with
this one. It case-folds the unit identifiers of 234 of the 942 kinds:
celsius_per_hour against Celsius_per_hour, ha against Ha, ph_value
against pH_value. The fold is injective, 1,291 distinct identifiers on both
sides, and no kind loses a unit, so neither vocabulary is wrong. They are
different, and a model answering Ha is right against one and wrong against
the other.
A benchmark that pins a version number cannot tell those apart. One that pins a digest refuses the wrong one before a grid is run and billed.
Shape
{
"$schema": "https://oo-ld.org/latest/meta/oold-meta-schema.json",
"$id": "AbsoluteActivity.schema.json",
"title": "AbsoluteActivity",
"allOf": [{"$ref": "InverseVolume.schema.json"}],
"@context": ["InverseVolume.schema.json",
{"qkind": "http://qudt.org/vocab/quantitykind/",
"AbsoluteActivity": "qkind:AbsoluteActivity"}],
"properties": {"type": {"default": ["AbsoluteActivity"]}}
}
allOf carries the parent, @context carries the JSON-LD term, and the
unit enumeration a kind admits is inherited or narrowed along that chain.
Licence
QUDT is published under CC BY 4.0 and these schemas are a derived representation of it. Attribution belongs to the QUDT project.
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