Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
completed: list<item: struct<m: int64, mode: string>>
child 0, item: struct<m: int64, mode: string>
child 0, m: int64
child 1, mode: string
dataset: string
elapsed_seconds: double
end_time: string
faiss_fallback_used: bool
m_values: list<item: int64>
child 0, item: int64
mode: string
start_time: string
threads: int64
train_fraction: null
M: int64
ef_construction: int64
index_bytes: int64
sidecar: null
index_path: string
dtype: string
space: string
command: list<item: string>
child 0, item: string
to
{'M': Value('int64'), 'command': List(Value('string')), 'dataset': Value('string'), 'dtype': Value('string'), 'ef_construction': Value('int64'), 'elapsed_seconds': Value('float64'), 'end_time': Value('string'), 'index_bytes': Value('int64'), 'index_path': Value('string'), 'sidecar': Value('null'), 'space': Value('string'), 'start_time': Value('string'), 'threads': Value('int64')}
because column names don't match
Traceback: 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 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
completed: list<item: struct<m: int64, mode: string>>
child 0, item: struct<m: int64, mode: string>
child 0, m: int64
child 1, mode: string
dataset: string
elapsed_seconds: double
end_time: string
faiss_fallback_used: bool
m_values: list<item: int64>
child 0, item: int64
mode: string
start_time: string
threads: int64
train_fraction: null
M: int64
ef_construction: int64
index_bytes: int64
sidecar: null
index_path: string
dtype: string
space: string
command: list<item: string>
child 0, item: string
to
{'M': Value('int64'), 'command': List(Value('string')), 'dataset': Value('string'), 'dtype': Value('string'), 'ef_construction': Value('int64'), 'elapsed_seconds': Value('float64'), 'end_time': Value('string'), 'index_bytes': Value('int64'), 'index_path': Value('string'), 'sidecar': Value('null'), 'space': Value('string'), 'start_time': Value('string'), 'threads': Value('int64')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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tti-100m-static-search-eval
Static 100M search-evaluation dataset with original vectors, original query/ground-truth files, a rebuilt hnswlib HNSW index, and generated PQ artifacts.
This Hugging Face copy provides the static-search-eval package for tti, including static artifacts and PQ artifacts.
Files
- Base:
base.fbin - HNSW index:
index_m_32_ef_500 - Query:
orig_query_100k.fbin - Ground truth:
groundtruth.bin - PQ artifacts:
pq_m50.pqcodes/.pqmeta/.pqcodebook,pq_m100.pqcodes/.pqmeta/.pqcodebook,pq_m200.pqcodes/.pqmeta/.pqcodebook - Checksums:
checksums.sha256
Dataset Properties
- Vector count:
100000000 - Dimension:
200 - Dtype:
float32 - Metric:
ip - Query count label:
100k - Query count:
100000
HNSW Index
- Parameters:
M=32,ef_construction=500 - Primary search parameters:
ef_search=150,k=10
Source
Original source terms apply. This copy is uploaded as a public Hugging Face dataset from the public Kaggle datasets listed above.
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