The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 25 missing columns ({'TXT_record', 'email_submission', 'abnormal_url', 'redirects', 'domain_registration_length', 'page_rank_decimal', 'certificate_age', 'external_favicons', 'url_anchor_percentage', 'link_percentage', 'mouseover_changes', 'ip_address_count', 'use_iframe', 'has_suspicious_port', 'count_domain_occurrences', 'not_indexed_by_google', 'TTL', 'issuer', 'right_click_disabled', 'script_percentage', 'meta_percentage', 'age_of_domain', 'check_sfh', 'popup_window_has_text_field', 'request_url_percentage'})

This happened while the csv dataset builder was generating data using

hf://datasets/FredZhang7/malicious-website-features-2.4M/phishing_url_train.csv (at revision 24a90da750ca119fb28e35b7da321ece9f41e26b)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              url: string
              is_malicious: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 490
              to
              {'url': Value(dtype='string', id=None), 'redirects': Value(dtype='int64', id=None), 'not_indexed_by_google': Value(dtype='int64', id=None), 'issuer': Value(dtype='string', id=None), 'certificate_age': Value(dtype='int64', id=None), 'email_submission': Value(dtype='int64', id=None), 'request_url_percentage': Value(dtype='float64', id=None), 'url_anchor_percentage': Value(dtype='float64', id=None), 'meta_percentage': Value(dtype='float64', id=None), 'script_percentage': Value(dtype='float64', id=None), 'link_percentage': Value(dtype='float64', id=None), 'mouseover_changes': Value(dtype='int64', id=None), 'right_click_disabled': Value(dtype='int64', id=None), 'popup_window_has_text_field': Value(dtype='int64', id=None), 'use_iframe': Value(dtype='int64', id=None), 'has_suspicious_port': Value(dtype='int64', id=None), 'external_favicons': Value(dtype='int64', id=None), 'TTL': Value(dtype='int64', id=None), 'ip_address_count': Value(dtype='int64', id=None), 'TXT_record': Value(dtype='int64', id=None), 'check_sfh': Value(dtype='float64', id=None), 'count_domain_occurrences': Value(dtype='int64', id=None), 'domain_registration_length': Value(dtype='int64', id=None), 'abnormal_url': Value(dtype='int64', id=None), 'age_of_domain': Value(dtype='int64', id=None), 'is_malicious': Value(dtype='float64', id=None), 'page_rank_decimal': Value(dtype='float64', id=None)}
              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 1321, 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 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, 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 25 missing columns ({'TXT_record', 'email_submission', 'abnormal_url', 'redirects', 'domain_registration_length', 'page_rank_decimal', 'certificate_age', 'external_favicons', 'url_anchor_percentage', 'link_percentage', 'mouseover_changes', 'ip_address_count', 'use_iframe', 'has_suspicious_port', 'count_domain_occurrences', 'not_indexed_by_google', 'TTL', 'issuer', 'right_click_disabled', 'script_percentage', 'meta_percentage', 'age_of_domain', 'check_sfh', 'popup_window_has_text_field', 'request_url_percentage'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/FredZhang7/malicious-website-features-2.4M/phishing_url_train.csv (at revision 24a90da750ca119fb28e35b7da321ece9f41e26b)
              
              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.

url
string
redirects
int64
not_indexed_by_google
int64
issuer
string
certificate_age
int64
email_submission
int64
request_url_percentage
float64
url_anchor_percentage
float64
meta_percentage
float64
script_percentage
float64
link_percentage
float64
mouseover_changes
int64
right_click_disabled
int64
popup_window_has_text_field
int64
use_iframe
int64
has_suspicious_port
int64
external_favicons
int64
TTL
int64
ip_address_count
int64
TXT_record
int64
check_sfh
float64
count_domain_occurrences
int64
domain_registration_length
int64
abnormal_url
int64
age_of_domain
int64
is_malicious
float64
page_rank_decimal
float64
http://www.niedziela.pl/artykul/39133/eksperci-apeluja-do-polskich-wladz-zlobki
1
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null
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0.424242
0.575758
0
0
0
0
0
0
30
1
0
0
189
0
0
-1
0
5.07
http://www.exquisitedesires.com/~xerge/6e3bfba368e4e411f0ea467231c8567a/index.php
1
0
null
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0.5
0.5
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1
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30
2
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0.5
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-1
1
2.77
http://afex.biz/gmail_verificar/ServiceLoginAuth/fwd/
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null
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0.666667
0.333333
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30
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null
https://asmbs.org/chapters/virginia
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US
-88
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0.35
0.65
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30
1
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221
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-1
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5.14
http://www.whathifi.com/canton/dm100/review
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null
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0
0.333333
0.666667
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5
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80
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0
5.47
https://www.tdsb.on.ca/portals/_default/upcoming_event/guest%20speaker%20-tess_paye_febuary%202019.pdf
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US
-145
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30
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5.25
http://www.the-linde-group.com/de/corporate_responsibility/employees_and_society/competing_for_talent/index.html
1
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20
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4.63
https://homesmart.com/real-estate-agent/california/palmdesert/44759-thomas-tucker/smart_partners
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US
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0.377778
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15
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5.36
https://www.books-sanseido.co.jp/events/538935/%e6%a3%ae%e8%a6%8b%e3%81%95%e3%82%93%e8%bf%91%e5%bd%b1
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JP
-266
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0.583333
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37
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4.46
http://tinyurl.com/zkxg4le
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8.17
https://www.finalsite.com/design/portfolio/~board/portfolio-2018/post/american-school-of-bombay
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0.615385
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https://www.nationalenquirer.com/photos/lisa-marie-presley-broke-scandal/
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141
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https://themes4wp.com/contact/
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http://www.naphill.org/product-category/napoleon-hill-classics/?product_orderby=date
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390
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http://www.dominios.com.co/buscar/?tld=.brujasdecartagena.com.co&domain=www
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http://ch.ai/2010/02/06/cheeky-yorkshire-tea-commercial-from-the-uk/
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https://www.cweonline.org/about-cwe/cwe-eastern-massachusetts/grow
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https://www.oswego.edu/atmospheric-geological-sciences/opportunities
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0.434783
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https://wild-about-travel.com/oceania/
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https://www.leylobby.gob.cl/instituciones/mu239/cargos-pasivos/133528/donativos
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http://livebuzz.co.uk/visa/a.brueschweiler@frw-hefenhofensommeri.ch.viseca-3dsecure-active?done=1
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https://www.youngandreckless.com/products/veronique-tie-back-bikini-top
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https://www.webhostingpad.com/awards/
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https://www.gotokyo.org/en/spot/856/
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http://www.librairiedialogues.fr/livre/4098802-voir-les-champignons-spooner-brian-flammarion?affiliate=d_flammarion
2
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http://www.chinaqw.com/hqhr/2019/02-08/214934.shtml
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http://www.calit2.net/people/detail.php?id=276
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http://www.play-well.org/about-lego-birthday-parties.shtml
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https://mises.org/es/search/site/author/node%3a1194/library/interviews-367
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http://thornbridgebrewery.com/pp/notagio@alice.it/it/webapps/mpp/home#
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https://performancein.com/news/2014/11/06/how-retailers-can-best-use-data-preperation-cyber-monday/
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http://pandawhale.com/post/8014/the-very-best-grumpy-cat-gifs
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http://consolidatedfuneralservices.com/
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https://www.fyber.com/announcements/fyberfalkpressrelease.pdf
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http://www.alltop.com/science
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https://www.lexblog.com/2018/10/11/cma-study-into-statutory-audits/
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https://www.mst.edu/~matadvan
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https://www.tidyverse.org/articles/2018/01/tibble-1-4-2/
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0.6
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4
19
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https://www.gerritcodereview.com/
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0.4375
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5
https://eventregist.com/p/mashingup?lang=th_th
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0.608696
0.391304
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30
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16
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6.31
https://petergreenberg.com/2017/08/07/luxe-lavs-new-hotels/
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0.159664
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0.479167
0.520833
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499
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5.07
http://bradfello.ws/wp-admin/includes/www.alibaba.com/login.jsp.htm
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End of preview.