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
snapshot_month: string
snapshot_id: string
schema_version: string
generated_at_utc: string
artifacts: struct<snapshot_parquet: string, manifest: string, schema_json: string, schema_md: string, data_sour (... 12 chars omitted)
child 0, snapshot_parquet: string
child 1, manifest: string
child 2, schema_json: string
child 3, schema_md: string
child 4, data_sources: string
snapshot: struct<format: string, compression: string, num_asns: int64, columns: list<item: string>, column_sto (... 2902 chars omitted)
child 0, format: string
child 1, compression: string
child 2, num_asns: int64
child 3, columns: list<item: string>
child 0, item: string
child 4, column_storage_types: struct<asn: string, LACeS-anycast_v4_cnt: string, LACeS-anycast_v6_cnt: string, apnic-eyeball_cc_cnt (... 2789 chars omitted)
child 0, asn: string
child 1, LACeS-anycast_v4_cnt: string
child 2, LACeS-anycast_v6_cnt: string
child 3, apnic-eyeball_cc_cnt: string
child 4, apnic-eyeball_eyeball_cnt: string
child 5, apnic-eyeball_gini: string
child 6, apnic-eyeball_top_cc(frac): string
child 7, apnic-eyeball_top_cc(num): string
child 8, apnic-eyeball_top_frac: string
child 9, caida-asrel_cone_/24_cnt: string
child 10, caida-asrel_cone_/64_cnt: string
child 11, caida-asrel_cone_as_cnt: string
child 12, caida-asrel_cone_as_list: string
child 13, caida-asrel_customer_cnt: string
child 14, caida-asrel_custom
...
m_asns (... 723 chars omitted)
child 0, month: string
child 1, package: string
child 2, size: int64
child 3, sha256: string
child 4, schema_version: string
child 5, num_asns: int64
child 6, source_dates: struct<RIR delegation files: string, APNIC Eyeball: string, OpenIntel Active DNS Measurements: Tranc (... 576 chars omitted)
child 0, RIR delegation files: string
child 1, APNIC Eyeball: string
child 2, OpenIntel Active DNS Measurements: Tranco: string
child 3, RouteViews Prefix2AS from CAIDA: string
child 4, IIJ AS Hegemony IPv4: string
child 5, IIJ AS Hegemony IPv6: string
child 6, IIJ Traceroute Hegemony: string
child 7, Internet Intelligence Lab AS2Org: string
child 8, CAIDA AS Relationship: string
child 9, MaxMind GeoLite2: timestamp[s]
child 10, Hypergients' off-nets estimations: timestamp[s]
child 11, ISI ANT Censuses of the Internet Address Space: timestamp[s]
child 12, CAIDA Macroscopic Internet Topology Data Kit: string
child 13, PeeringDB daily snapshot data from CAIDA: string
child 14, LACeS Anycast Census: string
child 15, Censys Universal Internet Bigquery data: string
child 16, M-Lab NDT Bigquery data: string
child 7, inputs_sha256: string
dataset: string
months: list<item: string>
child 0, item: string
concept_doi: string
package_prefix: string
to
{'dataset': Value('string'), 'generated_at_utc': Value('string'), 'schema_version': Value('string'), 'concept_doi': Value('string'), 'record_id': Value('null'), 'package_prefix': Value('string'), 'months': List(Value('string')), 'snapshots': List({'month': Value('string'), 'package': Value('string'), 'size': Value('int64'), 'sha256': Value('string'), 'schema_version': Value('string'), 'num_asns': Value('int64'), 'source_dates': {'RIR delegation files': Value('string'), 'APNIC Eyeball': Value('string'), 'OpenIntel Active DNS Measurements: Tranco': Value('string'), 'RouteViews Prefix2AS from CAIDA': Value('string'), 'IIJ AS Hegemony IPv4': Value('string'), 'IIJ AS Hegemony IPv6': Value('string'), 'IIJ Traceroute Hegemony': Value('string'), 'Internet Intelligence Lab AS2Org': Value('string'), 'CAIDA AS Relationship': Value('string'), 'MaxMind GeoLite2': Value('timestamp[s]'), "Hypergients' off-nets estimations": Value('timestamp[s]'), 'ISI ANT Censuses of the Internet Address Space': Value('timestamp[s]'), 'CAIDA Macroscopic Internet Topology Data Kit': Value('string'), 'PeeringDB daily snapshot data from CAIDA': Value('string'), 'LACeS Anycast Census': Value('string'), 'Censys Universal Internet Bigquery data': Value('string'), 'M-Lab NDT Bigquery data': Value('string')}, 'inputs_sha256': Value('string')})}
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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
snapshot_month: string
snapshot_id: string
schema_version: string
generated_at_utc: string
artifacts: struct<snapshot_parquet: string, manifest: string, schema_json: string, schema_md: string, data_sour (... 12 chars omitted)
child 0, snapshot_parquet: string
child 1, manifest: string
child 2, schema_json: string
child 3, schema_md: string
child 4, data_sources: string
snapshot: struct<format: string, compression: string, num_asns: int64, columns: list<item: string>, column_sto (... 2902 chars omitted)
child 0, format: string
child 1, compression: string
child 2, num_asns: int64
child 3, columns: list<item: string>
child 0, item: string
child 4, column_storage_types: struct<asn: string, LACeS-anycast_v4_cnt: string, LACeS-anycast_v6_cnt: string, apnic-eyeball_cc_cnt (... 2789 chars omitted)
child 0, asn: string
child 1, LACeS-anycast_v4_cnt: string
child 2, LACeS-anycast_v6_cnt: string
child 3, apnic-eyeball_cc_cnt: string
child 4, apnic-eyeball_eyeball_cnt: string
child 5, apnic-eyeball_gini: string
child 6, apnic-eyeball_top_cc(frac): string
child 7, apnic-eyeball_top_cc(num): string
child 8, apnic-eyeball_top_frac: string
child 9, caida-asrel_cone_/24_cnt: string
child 10, caida-asrel_cone_/64_cnt: string
child 11, caida-asrel_cone_as_cnt: string
child 12, caida-asrel_cone_as_list: string
child 13, caida-asrel_customer_cnt: string
child 14, caida-asrel_custom
...
m_asns (... 723 chars omitted)
child 0, month: string
child 1, package: string
child 2, size: int64
child 3, sha256: string
child 4, schema_version: string
child 5, num_asns: int64
child 6, source_dates: struct<RIR delegation files: string, APNIC Eyeball: string, OpenIntel Active DNS Measurements: Tranc (... 576 chars omitted)
child 0, RIR delegation files: string
child 1, APNIC Eyeball: string
child 2, OpenIntel Active DNS Measurements: Tranco: string
child 3, RouteViews Prefix2AS from CAIDA: string
child 4, IIJ AS Hegemony IPv4: string
child 5, IIJ AS Hegemony IPv6: string
child 6, IIJ Traceroute Hegemony: string
child 7, Internet Intelligence Lab AS2Org: string
child 8, CAIDA AS Relationship: string
child 9, MaxMind GeoLite2: timestamp[s]
child 10, Hypergients' off-nets estimations: timestamp[s]
child 11, ISI ANT Censuses of the Internet Address Space: timestamp[s]
child 12, CAIDA Macroscopic Internet Topology Data Kit: string
child 13, PeeringDB daily snapshot data from CAIDA: string
child 14, LACeS Anycast Census: string
child 15, Censys Universal Internet Bigquery data: string
child 16, M-Lab NDT Bigquery data: string
child 7, inputs_sha256: string
dataset: string
months: list<item: string>
child 0, item: string
concept_doi: string
package_prefix: string
to
{'dataset': Value('string'), 'generated_at_utc': Value('string'), 'schema_version': Value('string'), 'concept_doi': Value('string'), 'record_id': Value('null'), 'package_prefix': Value('string'), 'months': List(Value('string')), 'snapshots': List({'month': Value('string'), 'package': Value('string'), 'size': Value('int64'), 'sha256': Value('string'), 'schema_version': Value('string'), 'num_asns': Value('int64'), 'source_dates': {'RIR delegation files': Value('string'), 'APNIC Eyeball': Value('string'), 'OpenIntel Active DNS Measurements: Tranco': Value('string'), 'RouteViews Prefix2AS from CAIDA': Value('string'), 'IIJ AS Hegemony IPv4': Value('string'), 'IIJ AS Hegemony IPv6': Value('string'), 'IIJ Traceroute Hegemony': Value('string'), 'Internet Intelligence Lab AS2Org': Value('string'), 'CAIDA AS Relationship': Value('string'), 'MaxMind GeoLite2': Value('timestamp[s]'), "Hypergients' off-nets estimations": Value('timestamp[s]'), 'ISI ANT Censuses of the Internet Address Space': Value('timestamp[s]'), 'CAIDA Macroscopic Internet Topology Data Kit': Value('string'), 'PeeringDB daily snapshot data from CAIDA': Value('string'), 'LACeS Anycast Census': Value('string'), 'Censys Universal Internet Bigquery data': Value('string'), 'M-Lab NDT Bigquery data': Value('string')}, 'inputs_sha256': Value('string')})}
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.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
AS Feature Snapshots
A collection of historical and current monthly Autonomous System (AS) feature snapshots. Each snapshot is a per-ASN feature table that aggregates signals from routing, DNS, Internet-wide scanning, geolocation, topology, and organization-mapping data sources.
Each monthly release is packaged as ii.as-feature-snapshot.<YYYY-MM>.tar.gz
and includes a Snappy-compressed Parquet feature table (data.parquet),
provenance metadata (manifest.json), schema documentation, and source
listings. The index.json file records all released months, checksums,
package sizes, and per-source input dates.
Repository and access
The canonical repository is [InetIntel/Dataset-AS-feature-snapshots](https:// github.com/InetIntel/Dataset-AS-feature-snapshots). This Hugging Face dataset is a mirror intended for convenient programmatic and partial access. For versioned archival access, use the Zenodo record below.
The accompanying toolkit is [InetIntel/as-tagging](https://github.com/
InetIntel/as-tagging), which can access this mirror through
OnlineSnapshotProvider.
Citation
If you use this dataset, please cite its Zenodo concept DOI (all versions):
Chen, Z., Bischof, Z., Testart, C., & Dainotti, A. AS Feature Snapshots (ii.as-feature-snapshot). Zenodo. https://doi.org/10.5281/zenodo.22052392
For a specific release, please cite that release's Zenodo version DOI instead.
@software{chen_as_feature_snapshot_concept,
author = {Chen, Zhiyi and Bischof, Zachary and Testart, Cecilia and
Dainotti, Alberto},
title = {AS Feature Snapshots (ii.as-feature-snapshot)},
publisher = {Zenodo},
doi = {10.5281/zenodo.22052392},
url = {https://doi.org/10.5281/zenodo.22052392}
}
## License
Access to and use of this dataset are subject to the Georgia Institute of
Technology Acceptable Use Agreement and Data License Agreement. See the full
LICENSE
(https://github.com/InetIntel/Dataset-AS-feature-snapshots/blob/main/LICENSE)
in the canonical repository. For Hugging Face metadata, select the
custom/other license option.
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