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geocables
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internet-latency-and-routing-events

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The dataset generation failed because of a cast error

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 11 new columns ({'rtt_baseline_ms', 'severity', 'cable_page', 'rtt_current_ms', 'description', 'cable_id', 'event_type', 'source_city', 'detected_at_utc', 'ratio', 'cable_name'}) and 8 missing columns ({'probe_city', 'target_country', 'hops_avg', 'rtt_p90_ms', 'rtt_min_ms', 'observation_date', 'samples', 'rtt_median_ms'}).

This happened while the csv dataset builder was generating data using

hf://datasets/geocables/internet-latency-and-routing-events/geocables-route-events.csv (at revision 719fafd23996808d24b7d427c1448e61f3b5ef49), ['hf://datasets/geocables/internet-latency-and-routing-events@719fafd23996808d24b7d427c1448e61f3b5ef49/geocables-latency-daily.csv', 'hf://datasets/geocables/internet-latency-and-routing-events@719fafd23996808d24b7d427c1448e61f3b5ef49/geocables-route-events.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._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
              detected_at_utc: string
              event_type: string
              severity: string
              source_city: string
              target_city: string
              cable_id: string
              cable_name: string
              rtt_current_ms: double
              rtt_baseline_ms: double
              ratio: double
              description: string
              cable_page: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1739
              to
              {'observation_date': Value('string'), 'probe_city': Value('string'), 'target_city': Value('string'), 'target_country': Value('string'), 'samples': Value('int64'), 'rtt_median_ms': Value('float64'), 'rtt_p90_ms': Value('float64'), 'rtt_min_ms': Value('float64'), 'hops_avg': Value('float64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 11 new columns ({'rtt_baseline_ms', 'severity', 'cable_page', 'rtt_current_ms', 'description', 'cable_id', 'event_type', 'source_city', 'detected_at_utc', 'ratio', 'cable_name'}) and 8 missing columns ({'probe_city', 'target_country', 'hops_avg', 'rtt_p90_ms', 'rtt_min_ms', 'observation_date', 'samples', 'rtt_median_ms'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/geocables/internet-latency-and-routing-events/geocables-route-events.csv (at revision 719fafd23996808d24b7d427c1448e61f3b5ef49), ['hf://datasets/geocables/internet-latency-and-routing-events@719fafd23996808d24b7d427c1448e61f3b5ef49/geocables-latency-daily.csv', 'hf://datasets/geocables/internet-latency-and-routing-events@719fafd23996808d24b7d427c1448e61f3b5ef49/geocables-route-events.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

observation_date string	probe_city string	target_city string	target_country string	samples int64	rtt_median_ms float64	rtt_p90_ms float64	rtt_min_ms float64	hops_avg float64
2026-09-11	Almaty	Angola Cables Luanda	AO	1	206.2	206.2	206.2	17
2026-09-11	Almaty	Cable&Wireless Panama	PA	4	239.13	253.52	238.02	24.8
2026-09-11	Almaty	Cloudflare Mayotte	YT	2	25.92	27.18	25.92	12
2026-09-11	Almaty	Cloudflare Mogadishu	SO	2	26.15	26.42	26.15	12
2026-09-11	Almaty	Digicel Bermuda	BM	3	207.25	208.28	196.55	22.7
2026-09-11	Almaty	Djibouti Telecom	DJ	4	229.28	232.21	224.24	30
2026-09-11	Almaty	ETECSA Cuba	CU	4	303.74	305.76	300.29	14
2026-09-11	Almaty	FINTEL Suva	FJ	3	369.66	429.84	286.07	16
2026-09-11	Almaty	LTT Tripoli	LY	4	176.56	177.78	175.99	23
2026-09-11	Almaty	Mauritius Telecom DNS	MU	4	295.25	296.61	289.52	23.5
2026-09-11	Almaty	ns1.amnic.net	AM	1	85.9	85.9	85.9	21
2026-09-11	Almaty	ns1.dns.pt	PT	4	125.38	126.27	125.32	28
2026-09-11	Almaty	ns1.grnet.gr	GR	4	112.15	112.53	111.7	11
2026-09-11	Almaty	ns1.md	MD	3	120.8	125.72	120.16	13
2026-09-11	Almaty	ns1.nic.ge	GE	3	173.73	175.22	132.01	20.7
2026-09-11	Almaty	ns1.nic.hu	HU	4	82.83	84.44	82.69	13
2026-09-11	Almaty	ns1.nic.tm	TM	4	64.57	69.02	59.85	15.8
2026-09-11	Almaty	ns1.switch.ch	CH	4	100.42	104.03	97.22	17
2026-09-11	Almaty	ns1.thnic.co.th	TH	4	253.96	258.66	251.82	23
2026-09-11	Almaty	ns1.univie.ac.at	AT	4	82.99	83.35	82.69	10
2026-09-11	Almaty	ns1.zadna.org.za	ZA	4	259.91	282.9	259.62	19
2026-09-11	Almaty	OPT French Polynesia	PF	2	324.59	324.61	324.59	17
2026-09-11	Almaty	RIPE Atlas anchor#6313	DE	4	90.39	93	89.2	14
2026-09-11	Almaty	RIPE Atlas anchor#6324	LT	4	93.42	95.34	93.08	20
2026-09-11	Almaty	RIPE Atlas anchor#6327	HR	4	97.89	105.91	97.24	20
2026-09-11	Almaty	RIPE Atlas anchor#6349	BR	4	304.26	306.91	304.09	24
2026-09-11	Almaty	RIPE Atlas anchor#6351	LV	4	108.01	109.19	107.21	19
2026-09-11	Almaty	RIPE Atlas anchor#6370	JP	4	293.23	296.32	292.62	14
2026-09-11	Almaty	RIPE Atlas anchor#6373	US	4	201.55	206.86	198.92	24
2026-09-11	Almaty	RIPE Atlas anchor#6380	GH	4	203.69	204.16	203.38	19
2026-09-11	Almaty	RIPE Atlas anchor#6382	GB	4	99.18	100.84	99.09	11
2026-09-11	Almaty	RIPE Atlas anchor#6392	AE	4	206.46	206.68	206.3	17
2026-09-11	Almaty	RIPE Atlas anchor#6402	BG	4	122.98	124.41	121.26	13
2026-09-11	Almaty	RIPE Atlas anchor#6427	AU	4	285.36	381.02	282.9	18.8
2026-09-11	Almaty	RIPE Atlas anchor#6431	SA	4	155.04	158.25	154.94	16
2026-09-11	Almaty	RIPE Atlas anchor#6477	SG	4	241.31	252.97	239.81	19
2026-09-11	Almaty	RIPE Atlas anchor#6521	ID	4	256.37	259.38	249.99	18
2026-09-11	Almaty	RIPE Atlas anchor#6541	SI	4	99.24	102.11	94.26	23
2026-09-11	Almaty	RIPE Atlas anchor#6718	VN	4	285.69	290.64	283.17	22.3
2026-09-11	Almaty	RIPE Atlas anchor#6722	EE	4	71.55	72.31	71.04	12
2026-09-11	Almaty	RIPE Atlas anchor#6882	KE	4	214.55	217.27	214.22	17
2026-09-11	Almaty	RIPE Atlas anchor#6887	PH	4	336.84	344.57	335.25	27
2026-09-11	Almaty	RIPE Atlas anchor#6931	PE	4	303.17	305.12	302.23	23.3
2026-09-11	Almaty	RIPE Atlas anchor#6953	IN	4	238.22	241.9	236.17	11
2026-09-11	Almaty	RIPE Atlas anchor#7007	MY	4	246.24	246.84	246.23	11
2026-09-11	Almaty	RIPE Atlas anchor#7305	SK	4	104.64	112.95	104.39	22.3
2026-09-11	Almaty	RIPE Atlas anchor#7385	GU	4	345.14	347.7	343.83	20
2026-09-11	Almaty	RIPE Atlas anchor#7475	NP	4	289.71	296.26	289.04	23
2026-09-11	Almaty	RIPE Atlas anchor#7595	LK	4	235.41	235.89	235.03	24.5
2026-09-11	Almaty	RIPE Atlas anchor#7613	PK	4	228.66	231.28	226.51	21.8
2026-09-11	Almaty	RIPE Atlas anchor#7623	NG	4	214.68	216.57	214.48	18
2026-09-11	Almaty	RIPE Atlas anchor#7665	LB	4	170.47	174.21	169.61	15
2026-09-11	Almaty	RIPE Atlas Probe 1 NL	NL	3	113.23	114.53	111.82	26
2026-09-11	Almaty	RIPE Atlas Probe 12214 HK (AS41095)	HK	4	199.24	247.71	185.25	15
2026-09-11	Almaty	RIPE Atlas Probe 1459 LU	LU	1	104.66	104.66	104.66	27
2026-09-11	Almaty	RIPE Atlas Probe 14958 SC	SC	4	266.2	269.27	264.84	18.5
2026-09-11	Almaty	RIPE Atlas Probe 218 CZ (AS2852)	CZ	4	97.33	98.96	97.08	15
2026-09-11	Almaty	RIPE Atlas Probe 6366 BA	BA	3	105.97	109.57	102.81	19.7
2026-09-11	Almaty	RIPE Atlas Probe 6664 IL	IL	4	140.51	142.49	138.89	18.5
2026-09-11	Almaty	RIPE Atlas Probe 6723 MN	MN	3	286.22	287.85	285.35	16
2026-09-11	Almaty	RIPE Atlas Probe 6777 MZ	MZ	4	255.93	256.82	255.43	11
2026-09-11	Almaty	RIPE Atlas Probe 7244 MK	MK	3	119.07	120.26	116.26	18
2026-09-11	Almaty	RIPE Atlas Probe 7342 KG	KG	3	6.26	6.62	5.88	13
2026-09-11	Almaty	RIPE Atlas Probe 7628 AZ	AZ	3	120.31	128.57	119.32	12
2026-09-11	Almaty	RIPE Atlas probe#1000734	QA	4	209.05	219.38	200.32	17.8
2026-09-11	Almaty	RIPE Atlas probe#1010769	YE	4	148.67	181.07	140.54	21.5
2026-09-11	Almaty	RIPE Atlas probe#51361	BD	4	292.17	293.96	288.71	23.5
2026-09-11	Almaty	Samoa DataCom	WS	4	480.11	490.05	475.91	30
2026-09-11	Almaty	Telecom Cook Islands	CK	1	500.09	500.09	500.09	22
2026-09-11	Almaty	Telma Antananarivo	MG	4	235.36	245.19	232.37	30
2026-09-11	Almaty	Tonga Comm Corp	TO	4	417.9	421.51	417.44	25
2026-09-11	Almaty	TTCL Dar es Salaam	TZ	1	231.66	231.66	231.66	21
2026-09-11	Almaty KZ	Cloudflare	XX	32	27.14	32.3	26.42	12.7
2026-09-11	Almaty KZ	Google DNS	XX	32	86.67	89.36	81.32	20
2026-09-11	Almaty KZ	Jerusalem IL	IL	32	167.12	169.33	151.32	20
2026-09-11	Almaty KZ	Minsk BY	BY	32	90.68	101.62	67.87	20
2026-09-11	Almaty KZ	Moscow RU	RU	32	57.38	58.82	52.76	20
2026-09-11	Almaty KZ	Tbilisi GE	GE	32	142.66	154.83	123.94	20
2026-09-11	Jerusalem	Batelco Manama	BH	1	63.98	63.98	63.98	20
2026-09-11	Jerusalem	Cable&Wireless Panama	PA	4	213.44	222.42	211.44	21.8
2026-09-11	Jerusalem	Cloudflare Mayotte	YT	2	2.97	3.07	2.97	6
2026-09-11	Jerusalem	Cloudflare Mogadishu	SO	2	3.22	3.34	3.22	6
2026-09-11	Jerusalem	Digicel Bermuda	BM	3	178.51	180.04	176.19	18.3
2026-09-11	Jerusalem	Djibouti Telecom	DJ	4	249.7	251.63	249.38	30
2026-09-11	Jerusalem	ETECSA Cuba	CU	4	270.08	281.43	269.78	8
2026-09-11	Jerusalem	FINTEL Suva	FJ	3	390.97	391.75	390.01	20
2026-09-11	Jerusalem	LTT Tripoli	LY	4	141.46	145.73	140.74	16
2026-09-11	Jerusalem	Mauritius Telecom DNS	MU	4	260.78	262.94	256.66	22
2026-09-11	Jerusalem	ns1.amnic.net	AM	1	137.28	137.28	137.28	17
2026-09-11	Jerusalem	ns1.dns.pt	PT	4	93.32	95.46	91.7	25.3
2026-09-11	Jerusalem	ns1.grnet.gr	GR	4	96	98.3	94.9	17
2026-09-11	Jerusalem	ns1.md	MD	3	88.91	89.34	88.65	13.3
2026-09-11	Jerusalem	ns1.nic.ge	GE	3	119.79	147.85	116.91	27.7
2026-09-11	Jerusalem	ns1.nic.hu	HU	4	70.71	71.46	70.49	13
2026-09-11	Jerusalem	ns1.nic.tm	TM	2	153.46	154.24	153.46	28
2026-09-11	Jerusalem	ns1.ripn.net	RU	2	138.11	139.07	138.11	16
2026-09-11	Jerusalem	ns1.switch.ch	CH	4	60.57	60.77	60.54	11
2026-09-11	Jerusalem	ns1.thnic.co.th	TH	4	236.76	238.23	234.48	19
2026-09-11	Jerusalem	ns1.univie.ac.at	AT	4	61.96	62.26	61.64	11
2026-09-11	Jerusalem	ns1.zadna.org.za	ZA	4	230.44	243.67	229.59	20

End of preview.

GeoCables Internet Latency and Routing Events

Daily-updated measurements of internet round-trip latency toward submarine cable landing regions, and detected routing anomalies (detours, path changes), collected by GeoCables - a live atlas of the world's submarine cable infrastructure with its own distributed measurement network.

Files

geocables-latency-daily.csv - per-day latency aggregates (median / p90 / min RTT in milliseconds) for measured city-to-target routes.
geocables-route-events.csv - detected routing events: detours, reroutes and recoveries, with distance and RTT deltas (IP addresses scrubbed).

Method

Measurements are performed continuously by GeoCables' own distributed probe network; values are aggregated daily. Event detection compares live paths and RTT against per-route rolling baselines. Details and live views: geocables.com/live, methodology: geocables.com/methodology.

License and attribution

CC BY 4.0. Please attribute to GeoCables with a link to geocables.com.

Mirrors: Kaggle · canonical: geocables.com/dataset

Downloads last month: 71

Total file size:

1.63 MB