The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: Expected object or value
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 342, 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(/checkpoints/[]/checkpoint) changed from string to number in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
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 valueNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
turing-100m-batch-update-eval
Batch-update evaluation workload package generated from the corresponding static-search-eval package.
Dataset
- Source static dataset: corresponding static-search-eval package
- Vector count:
100000000 - Dimension:
100 - Dtype:
float32 - Metric:
l2 - Initial update index:
80,000,000vectors with external labels equal toA = P[0:80M] - Update order:
update_order.u32, a seed-42permutation of source IDs[0, 100M)
Traces
insert-20: starts fromA, then insertsP[80M:100M]in twenty 1M batches.delete-20: starts from the static 100M state, then deletesP[80M:100M]in twenty 1M batches.mixed-replace-100: keeps 80M live vectors for 100 rounds; each round deletes a cyclic 1M source-ID slice and inserts a cyclic vector-ref slice. Insert external IDs areP[80M:100M]followed by[100M,180M).
Batch JSON files use compact descriptors (range, u32_slice, and u32_cyclic_slice) instead of inline million-ID arrays.
Ground Truth
Checkpoint ground truth is produced by filtering the static source ground truth in source-distance order through the checkpoint owner map. Files are exact top-10 only when every query retains at least 10 active candidates from the static source GT depth. If a checkpoint cannot provide top-10 for every query, the package writes a matching .invalid.json marker instead of padding.
Files
workload.json: workload contract.static-workload-reference.json: immutable static-search-eval references.source_manifest.json: generation manifest.update_order.u32: seed-42 source-ID permutation.initial/index_80m_m32_efc500: HNSW index built frombase[A]with labelsA.groundtruth/active_80m.bin: initial 80M checkpoint GT, oractive_80m.invalid.json.traces/*/trace.json: trace metadata.traces/*/batches/*.json: compact batch descriptors.traces/*/groundtruth/*: checkpoint GT or invalid markers.checksums.sha256: checksums for generated package files.
PQ artifacts from the static dataset are referenced but not reordered into this first package version.
- Downloads last month
- -