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
format: string
version: int64
source_index_path_hint: string
source_index_size_bytes: int64
node_count: int64
dim: int64
data_type: string
max_m: int64
max_m0: int64
size_data_per_element: int64
label_offset: int64
vector_offset: int64
level_encoding: string
id_mapping_encoding: string
level_file: string
id_mapping_file: string
level_file_bytes: int64
id_mapping_file_bytes: int64
level_checksum: string
id_mapping_checksum: string
index_header_checksum: string
created_by_commit: string
created_at_utc: timestamp[s]
max_observed_level: int64
dtype: string
threads: int64
command: list<item: string>
child 0, item: string
space: string
sidecar: null
dataset: string
elapsed_seconds: double
ef_construction: int64
end_time: string
index_path: string
M: int64
start_time: string
index_bytes: int64
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
format: string
version: int64
source_index_path_hint: string
source_index_size_bytes: int64
node_count: int64
dim: int64
data_type: string
max_m: int64
max_m0: int64
size_data_per_element: int64
label_offset: int64
vector_offset: int64
level_encoding: string
id_mapping_encoding: string
level_file: string
id_mapping_file: string
level_file_bytes: int64
id_mapping_file_bytes: int64
level_checksum: string
id_mapping_checksum: string
index_header_checksum: string
created_by_commit: string
created_at_utc: timestamp[s]
max_observed_level: int64
dtype: string
threads: int64
command: list<item: string>
child 0, item: string
space: string
sidecar: null
dataset: string
elapsed_seconds: double
ef_construction: int64
end_time: string
index_path: string
M: int64
start_time: string
index_bytes: int64
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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Check out the documentation for more information.
deep-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.
Files
- Base:
base.fbin - HNSW index:
index_m_32_ef_500 - Query:
orig_query_10k.fbin - Ground truth:
groundtruth.bin - Checksums:
checksums.sha256 - Kaggle metadata is provided via
dataset-metadata.jsonduring upload and is stored by Kaggle as dataset configuration, not as a listed data file.
Data Sources
base.fbin->base.fbinunif_query_10k.fbin->orig_query_10k.fbinGT_100M/deep-100M->groundtruth.binfrom https://dl.fbaipublicfiles.com/billion-scale-ann-benchmarks/GT_100M/deep-100M
Source license/terms note: Original source terms apply; Kaggle metadata uses license other.
Dataset Properties
- Vector count:
100000000 - Dimension:
96 - Dtype:
float32 - Metric:
l2 - Query count label:
10k - Query count:
10000
Environment
- CPU threads used:
96 - Python:
Python 3.10.12 - hnswlib package version:
unknown - hnswlib git commit:
fe873b1cee484795bd254088c0d4579f567f1979 - faiss:
1.14.3 - numpy:
2.2.6 - kaggle:
unknown - kagglehub:
1.0.2 - vectordb-cxl commit:
73e82318a4c346b64b8c645d030ac86696351632
HNSW Index
- Parameters:
M=32,ef_construction=500 - Index dtype:
float32 - hnswlib space:
l2 - Thread count:
96 - Build start:
2026-07-05 15:07:30 UTC - Build end:
2026-07-05 17:39:00 UTC - Build elapsed seconds:
9090.091 - Built from original base vectors:
true - Prebuilt Kaggle index reused:
false
Primary Search
- Parameters:
ef_search=150,k=10 - Thread count:
96 - Recall@10:
0.975170 - Batch throughput qps:
8784.062140 - Latency mean_ms:
10.821620 - Latency p50_ms:
2.060002 - Latency p95_ms:
18.078470 - Latency p99_ms:
38.452937 - Instrumented latency from batch run:
True - Search elapsed seconds:
1.138425
Optional ef_search Sweep
Not run unless a search_sweep.json file is included and referenced in the status log.
PQ
Implementation path: cpp
Fallback used: False
Thread count: 96
Elapsed seconds: 2811.184
Final m values: m24, m48, m96
Kaggle upload file names: pq_m24.pqcodes/.pqmeta/.pqcodebook, pq_m48.pqcodes/.pqmeta/.pqcodebook, pq_m96.pqcodes/.pqmeta/.pqcodebook
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