The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
format: string
version: int64
space: string
dtype: string
dim: int64
distance_type: string
payload_bytes_per_vector: int64
index_file: string
index_file_size: int64
max_elements: int64
cur_element_count: int64
size_data_per_element: int64
label_offset: int64
offset_data: int64
max_M: int64
max_M0: int64
M: int64
ef_construction: int64
command: list<item: string>
child 0, item: string
index_bytes: int64
threads: int64
ef_search: int64
sidecar: string
elapsed_seconds: int64
end_time: string
sidecar_jobs: int64
start_time: string
initial_active: int64
index_path: string
batch_size: int64
layout_sidecar: string
dataset: string
to
{'M': Value('int64'), 'batch_size': Value('int64'), 'command': List(Value('string')), 'dataset': Value('string'), 'dtype': Value('string'), 'ef_construction': Value('int64'), 'ef_search': Value('int64'), 'elapsed_seconds': Value('int64'), 'end_time': Value('string'), 'index_bytes': Value('int64'), 'index_path': Value('string'), 'initial_active': Value('int64'), 'layout_sidecar': Value('string'), 'sidecar': Value('string'), 'sidecar_jobs': Value('int64'), '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
format: string
version: int64
space: string
dtype: string
dim: int64
distance_type: string
payload_bytes_per_vector: int64
index_file: string
index_file_size: int64
max_elements: int64
cur_element_count: int64
size_data_per_element: int64
label_offset: int64
offset_data: int64
max_M: int64
max_M0: int64
M: int64
ef_construction: int64
command: list<item: string>
child 0, item: string
index_bytes: int64
threads: int64
ef_search: int64
sidecar: string
elapsed_seconds: int64
end_time: string
sidecar_jobs: int64
start_time: string
initial_active: int64
index_path: string
batch_size: int64
layout_sidecar: string
dataset: string
to
{'M': Value('int64'), 'batch_size': Value('int64'), 'command': List(Value('string')), 'dataset': Value('string'), 'dtype': Value('string'), 'ef_construction': Value('int64'), 'ef_search': Value('int64'), 'elapsed_seconds': Value('int64'), 'end_time': Value('string'), 'index_bytes': Value('int64'), 'index_path': Value('string'), 'initial_active': Value('int64'), 'layout_sidecar': Value('string'), 'sidecar': Value('string'), 'sidecar_jobs': Value('int64'), '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.
bigann-1b-static-search-eval
Static BIGANN 1B search-evaluation HNSW index artifact. This Hugging Face dataset repository is intended to publish the rebuilt 1B HNSW index and its layout sidecar files. The original base/query/ground-truth files are from the Big ANN Benchmarks public BIGANN release.
Uploaded Scope
This repository upload contains the index artifacts only:
- HNSW index:
index_m_32_ef_500 - HNSW metadata sidecar:
index_m_32_ef_500.hnswmeta.json - Layout sidecar manifest:
layout-sidecar/index_m_32_ef_500.layout.json - Layout sidecar levels:
layout-sidecar/index_m_32_ef_500.levels.u16 - Layout sidecar id mapping:
layout-sidecar/index_m_32_ef_500.id_mapping.u32 - Build manifest:
index_build.json
The base vectors, public queries, ground truth, and PQ artifacts are not part of this initial Hugging Face upload unless separately added later.
Source Data
- Base vectors:
base.1B.u8binfromhttps://dl.fbaipublicfiles.com/billion-scale-ann-benchmarks/bigann/base.1B.u8bin - Public queries:
query.public.10K.u8binfromhttps://dl.fbaipublicfiles.com/billion-scale-ann-benchmarks/bigann/query.public.10K.u8bin - 1B ground truth:
GT_1B_v2.tgz/GT_1B/bigann-1Bfromhttps://dl.fbaipublicfiles.com/billion-scale-ann-benchmarks/GT_1B_v2.tgz
The Big ANN Benchmarks page lists BIGANN as CC0.
Dataset Properties
- Vector count:
1000000000 - Dimension:
128 - Dtype:
uint8 - Metric:
l2 - Query count:
10000 - Ground truth neighbors per query:
100
HNSW Index
- Index file:
index_m_32_ef_500 - Index size:
404258279176bytes - Parameters:
M=32,ef_construction=500 - hnswlib space:
l2 - Index dtype:
uint8 - Initial active vectors:
1000000000 - Build threads:
224 - Build start:
2026-07-16 14:38:44 UTC - Build end:
2026-07-17 06:44:34 UTC - Build elapsed seconds:
57950
Layout Sidecar
The layout sidecar is generated from the completed HNSW index for direct runtime loading by vectordb-cxl.
- Layout manifest:
layout-sidecar/index_m_32_ef_500.layout.json - Levels file:
layout-sidecar/index_m_32_ef_500.levels.u16 - Levels size:
2000000000bytes - Id mapping file:
layout-sidecar/index_m_32_ef_500.id_mapping.u32 - Id mapping size:
4000000000bytes size_data_per_element:396label_offset:388vector_offset:260- Max observed level:
6 - Levels checksum:
fnv1a64:1b0268c2a1076203 - Id mapping checksum:
fnv1a64:9d097ab13497f155 - Index header checksum:
fnv1a64:9b39a0e6778b9f9f
Environment
- Machine CPU threads:
224 - Python:
Python 3.10.12 - hnswlib git commit:
fe873b1cee484795bd254088c0d4579f567f1979 - vectordb-cxl commit:
0a84464f5f3347b19febde9b0a96617e58f01268
Download
hf download Odeinjul/bigann-1b-static-search-eval \
--repo-type dataset \
--include "index_m_32_ef_500" \
--include "index_m_32_ef_500.hnswmeta.json" \
--include "index_build.json" \
--include "layout-sidecar/*" \
--local-dir bigann-1b-static-search-eval
Expected index artifact size is approximately 404.3 GB, plus approximately 6.0 GB for layout sidecar files.
Notes
This artifact was built from the original BIGANN 1B base vectors using M=32 and ef_construction=500. For reproducibility and exact build arguments, inspect index_build.json.
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