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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 8 new columns ({'wikipedia', 'urlhaus', 'legit-phish', 'url-phish', 'phish-and-legit', 'misinfo-domains', 'phish-dataset', 'nelez'})
This happened while the csv dataset builder was generating data using
hf://datasets/credi-net/DomainRel/labels_annot.csv (at revision 6e6fb3873b707047e92b45792cdc36dc0b4ce0f3)
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/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
domain: string
reliability: int64
legit-phish: double
misinfo-domains: double
nelez: double
phish-and-legit: double
phish-dataset: double
url-phish: double
urlhaus: double
wikipedia: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1470
to
{'domain': Value('string'), 'reliability': Value('int64')}
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 1339, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 972, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
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 8 new columns ({'wikipedia', 'urlhaus', 'legit-phish', 'url-phish', 'phish-and-legit', 'misinfo-domains', 'phish-dataset', 'nelez'})
This happened while the csv dataset builder was generating data using
hf://datasets/credi-net/DomainRel/labels_annot.csv (at revision 6e6fb3873b707047e92b45792cdc36dc0b4ce0f3)
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.
domain
string | reliability
int64 |
|---|---|
0-1ucaa.xyz
| 0
|
0-i-fdik.000webhostapp.com
| 0
|
0-i0is.000webhostapp.com
| 0
|
0.1.fuli.ga
| 0
|
0.boomcome.cn
| 0
|
0.csueastbay.edu
| 1
|
0.dacafe.com
| 1
|
0.eqtxu.com
| 0
|
0.igmxw.com
| 0
|
0.iqvec.com
| 0
|
0.nhmcy.com
| 0
|
0.statcan.ca
| 1
|
0.statcan.gc.ca
| 1
|
0.tqomz.com
| 0
|
00-c1aimn0w.com
| 0
|
00-coopb144.com
| 0
|
00-coopban523.com
| 0
|
00-lhvpromt.com
| 0
|
00.0fv1.ru
| 0
|
00.124.324.77.00.opteamevent.hu
| 0
|
00.lightb0x.ru
| 0
|
00.qxywa.com
| 0
|
00.y7d5v.mediaparty.ro
| 0
|
000-054343-info.weebly.com
| 0
|
000.ccllhrr.com
| 0
|
00000000000000000000000000000000000000dfjjjhv.000webhostapp.com
| 0
|
000000000000000000000000000000000000dbscrfg.000webhostapp.com
| 0
|
000000000000000000000000000yteyeuya.000webhostapp.com
| 0
|
00000000000000000dhl.000webhostapp.com
| 0
|
00000000000000rqrewewrwrdfq.000webhostapp.com
| 0
|
0000000000000qowowiieueu0000000.000webhostapp.com
| 0
|
0000000wer.000webhostapp.com
| 0
|
00000kx.rcomhost.com
| 0
|
00000skunnnn.000webhostapp.com
| 0
|
0000111servicehelpdesk.godaddysites.com
| 0
|
000011accesswebform.godaddysites.com
| 0
|
000025123.com
| 0
|
00003.godaddysites.com
| 0
|
00003.online
| 0
|
0000502.rcomhost.com
| 0
|
00005ik.rcomhost.com
| 0
|
000067d.rcomhost.com
| 0
|
000098.ihostfull.com
| 0
|
00024390000067.000webhostapp.com
| 0
|
00065455.weebly.com
| 0
|
000945.000webhostapp.com
| 0
|
0009servicedeskowa.godaddysites.com
| 0
|
000asmr.com
| 0
|
000dbdfbdd.web44.net
| 0
|
000ee.cfd
| 0
|
000f02ef-3ec1-4247-ae2a-17788214a6a0.htmlpasta.com
| 0
|
000ii.xyz
| 0
|
000m8ih.wcomhost.com
| 0
|
000n38p.wcomhost.com
| 0
|
000n38t.wcomhost.com
| 0
|
000n8pc.wcomhost.com
| 0
|
000ne9r.wcomhost.com
| 0
|
000njep.wcomhost.com
| 0
|
000nku9.wcomhost.com
| 0
|
000npoj.wcomhost.com
| 0
|
000nq1g.wcomhost.com
| 0
|
000nrsy.wcomhost.com
| 0
|
000nt6r.wcomhost.com
| 0
|
000nx2b.wcomhost.com
| 0
|
000o1g0.wcomhost.com
| 0
|
000o2ba.wcomhost.com
| 0
|
000o2sl.wcomhost.com
| 0
|
000o4d4.wcomhost.com
| 0
|
000o4n8.wcomhost.com
| 0
|
000o5eh.wcomhost.com
| 0
|
000o8dc.wcomhost.com
| 0
|
000qq.cfd
| 0
|
000rr.cfd
| 0
|
000uu.xyz
| 0
|
000web2.000webhostapp.com
| 0
|
000web3.000webhostapp.com
| 0
|
000webhos1.000webhostapp.com
| 0
|
000webhostcrazystikers.000webhostapp.com
| 0
|
000wechost.000webhostapp.com
| 0
|
000wexbhost.000webhostapp.com
| 0
|
000woool.cn
| 0
|
000yy.xyz
| 0
|
001-prime-000.com
| 0
|
001.002.003.23.opteamevent.hu
| 0
|
001.amaznnuii.vip
| 0
|
001.ammazu.net
| 0
|
001002.xyz
| 0
|
0010defaulttypeds0678pailem.weebly.com
| 0
|
00110omeopranslateslentldetext.godaddysites.com
| 0
|
00118.accountant
| 0
|
0012091312642.web44.net
| 0
|
00121.accountant
| 0
|
001234134091.host56.com
| 0
|
001indexnova.netau.net
| 0
|
001return.com
| 0
|
001tr3nsf00.com
| 0
|
002.amaznnuiba.vip
| 0
|
002089604697495.com
| 0
|
002indexnova.hostoi.com
| 0
|
003.amazoonbua.top
| 0
|
Dataset Card for Domains by Reliability (DomainRel)
DomainRel is a large-scale dataset of web domains labelled binarily as per their overall reliability level. The domains span areas of general knowledge, (mis)information, phishing and malware. DomainRel is an aggregate and reconstruction of existing datasets originating from each of these specific areas, offering the first cross-domain dataset of this type and scale.
Dataset Details
DomainRel can be downloaded in its simplest form (labels.csv), which contains 674,737 with a binary reliability score with the following class distribution:
Unreliable (0): 361,537
Reliable (1): 313,199
An alternative labels_annot.csv is also available; it contains the same domain data, with disaggregated per-source scores tracing the provenance of each datapoint as per its original data source.
- Curated by the CrediNet organisation, which consists of a team of collaborators from the Complex Data Lab @ Mila - Quebec AI Institute, the University of Oxford, McGill University, Concordia University, UC Berkeley, University of Montreal, and AITHYRA.
- Funding: This research was supported by the Engineering and Physical Sciences Research Council (EPSRC) and the AI Security Institute (AISI) grant: Towards Trustworthy AI Agents for Information Veracity and the EPSRC Turing AI World-Leading Research Fellowship No. EP/X040062/1 and EPSRC AI Hub No. EP/Y028872/1. This research was also enabled in part by compute resources provided by Mila (mila.quebec) and Compute Canada.
Dataset Sources
Refer to the below for a more detailed breakdown of the dataset's class distribution in terms of dataset of origin.
Total:
0: 361,537
1: 313,199
which consists of the following datasets:
LegitPhish
LegitPhish is a URL-based dataset with binary labels (0 = Phishing, 1 = Legitimate). The data is processed by converting URLs to their domain name, averaging the scores of all URLs that resolve to the same domain, and then binarizing based on a threshold of 0.5. We also standardise the header (we always use domain and label in the processed csvs.)
0: 26,957
1: 37,113
PhishDataset
PhishDataset is a URL-based dataset with binary labels (0 = Legitimate, 1 = Phishing)
0: 3,730
1: 40,535
Nelez
Nelež is a blacklist of misinformation websites from a Czech organisation of the same name.
0: 51
1: 0
Wikipedia
Wikipedia is an aggregate set of a reliability ratings from multiple Wikipedia sources. The data is processed to keep only 'boosted' and 'discarded' domains (corresponding to 1 and 0 respectively -- they also have a neutral category we discard).
0: 1,029
1: 2,906
URL-Phish
URL-Phish is a feature-engineered dataset for phishing detection. URLs have label 0 if they are considered benign, 1 for phishing.
0: 10,551
1: 92,460
Phish & Legit
Phish & Legit is a URL Classification dataset of suspicous (0) and genuine (1) web addresses.
0: 292,163
1: 146,316
Misinformation domains
Misinfo-domains is a collection of domains labelled unreliable if they are assessed as spreaders of unreliable information.
0: 2,170
1: 2,597
Malware domains
URLHaus is a collection of malware domains.
0: 31,540
1: 0
Dataset Card Contact
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