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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 2 new columns ({'ip_address', 'asn'}) and 16 missing columns ({'domain_length', 'ttl_mean', 'is_zero_day', 'ttl_std', 'query_volume', 'category', 'distinct_ips', 'asn_reputation', 'digit_ratio', 'burst_ratio', 'active_days', 'label', 'split', 'ip_change_rate', 'vowel_ratio', 'shannon_entropy'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Ranim2700/pdns-malicious-infrastructure-dataset/pdns_resolution_edges.csv (at revision 205b15df23d1b37807e2196597fea610ff1eb8ac), ['hf://datasets/Ranim2700/pdns-malicious-infrastructure-dataset@205b15df23d1b37807e2196597fea610ff1eb8ac/pdns_domains_metadata.csv', 'hf://datasets/Ranim2700/pdns-malicious-infrastructure-dataset@205b15df23d1b37807e2196597fea610ff1eb8ac/pdns_resolution_edges.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 784, 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 795, 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
              domain_id: int64
              domain_name: string
              ip_address: string
              asn: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 743
              to
              {'domain_id': Value('int64'), 'domain_name': Value('string'), 'category': Value('string'), 'label': Value('int64'), 'is_zero_day': Value('int64'), 'ttl_mean': Value('float64'), 'ttl_std': Value('float64'), 'active_days': Value('float64'), 'query_volume': Value('float64'), 'ip_change_rate': Value('float64'), 'asn_reputation': Value('float64'), 'burst_ratio': Value('float64'), 'distinct_ips': Value('int64'), 'domain_length': Value('int64'), 'shannon_entropy': Value('float64'), 'digit_ratio': Value('float64'), 'vowel_ratio': Value('float64'), 'split': Value('string')}
              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 2 new columns ({'ip_address', 'asn'}) and 16 missing columns ({'domain_length', 'ttl_mean', 'is_zero_day', 'ttl_std', 'query_volume', 'category', 'distinct_ips', 'asn_reputation', 'digit_ratio', 'burst_ratio', 'active_days', 'label', 'split', 'ip_change_rate', 'vowel_ratio', 'shannon_entropy'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Ranim2700/pdns-malicious-infrastructure-dataset/pdns_resolution_edges.csv (at revision 205b15df23d1b37807e2196597fea610ff1eb8ac), ['hf://datasets/Ranim2700/pdns-malicious-infrastructure-dataset@205b15df23d1b37807e2196597fea610ff1eb8ac/pdns_domains_metadata.csv', 'hf://datasets/Ranim2700/pdns-malicious-infrastructure-dataset@205b15df23d1b37807e2196597fea610ff1eb8ac/pdns_resolution_edges.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.

domain_id
int64
domain_name
string
category
string
label
int64
is_zero_day
int64
ttl_mean
float64
ttl_std
float64
active_days
float64
query_volume
float64
ip_change_rate
float64
asn_reputation
float64
burst_ratio
float64
distinct_ips
int64
domain_length
int64
shannon_entropy
float64
digit_ratio
float64
vowel_ratio
float64
split
string
0
secure-tech92.xyz
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train
1
cdn-mail59.cloud
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train
2
tech-sync97.cloud
fast_flux
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train
3
cluster-mail9.net
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dev-data75.org
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service-cluster-2aeecb.co
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confirm-client63.cloud
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portalsecure-lseh.co
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dev-sync72.com
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login-dev96.club
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globaltech-8a78.com
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node-global60.io
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confirm-mail50.xyz
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portal-cloud75.co
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stream-sync16.info
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media-secure47.net
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cluster-service1.info
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data-stream-73b4d1f.com
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secure-api83.io
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j7yktxg4ahf337kuu4.ru
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secure-service65.net
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cloud-edge63.io
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verify-client41.co
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media-mail-7c1168.club
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client-global25.info
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secure-cluster35.net
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data-net10.info
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dev-mail20.net
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global-net42.info
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update-stream47.cloud
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secure-mail35.club
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dev-cdn19.io
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42
cluster-portal49.info
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node-service90.org
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secure-edge83.co
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ssuuqo1vsmado8.net
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cdn-gateway13.io
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mail-cloud44.info
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test
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globalnode-pq2w.net
dga
1
0
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net-stream-3cc11.club
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50
portal-auth91.top
phishing
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test
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secure-cluster20.cloud
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train
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mail-static48.net
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train
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net-secure89.co
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train
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global-dev46.info
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train
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net-cluster57.cloud
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train
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data-static37.co
fast_flux
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test
57
medianode-3bzt.io
dga
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train
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media-api16.io
fast_flux
1
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train
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media-client55.cloud
fast_flux
1
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243.8929
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3
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test
60
media-node22.co
benign
0
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test
61
portal-net84.org
benign
0
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893.828772
10,226.612653
0.086104
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2
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3.625
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train
62
static-cluster74.net
benign
0
0
14,242.551793
462.496076
307.14593
14,843.569953
0.151813
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3
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3.621928
0.1
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train
63
stream-gateway48.cloud
benign
0
0
13,381.896514
295.623742
529.905434
10,459.266568
0.180562
0.808612
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3
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4.061482
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train
64
dev-edge9.org
benign
0
0
9,535.245568
376.378342
412.880072
10,885.252441
0.087379
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2
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3.026987
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train
65
muurmybd2qe4pa8.io
dga
1
0
3,933.512195
458.888238
25.198126
1,504.242048
0.359631
0.164086
0.683332
4
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3.947703
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train
66
verify-media16.org
phishing
1
0
3,678.57645
769.097609
19.283029
1,284.911389
0.793753
0.30872
0.852599
3
18
3.836592
0.111111
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train
67
mail-cloud-23a0.cloud
benign
0
0
17,971.460739
88.665939
254.64265
4,985.507316
0.074172
0.550965
0.316829
4
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3.594466
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train
68
verify-mail50.net
phishing
1
0
1,052.733574
584.130144
44.620251
2,950.392623
0.779708
0.29504
0.771047
3
17
3.852169
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test
69
gateway-sync-7ba26.xyz
benign
0
0
12,719.703292
109.171575
563.263171
12,169.858285
0.117649
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2
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3.93626
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test
70
sync-stream41.io
benign
0
0
12,655.34298
315.219892
615.049738
5,523.052395
0.126389
0.61767
0.094713
3
16
3.875
0.125
0.25
train
71
cloud-cluster67.net
benign
0
0
30
145.573211
637.013054
9,700.972679
0.232075
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4
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test
72
auth-stream-a1e0556.info
benign
0
0
16,682.73314
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0.122396
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2
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4.053509
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train
73
cloud-sync2.com
fast_flux
1
0
13,384.288586
250.40977
567.195485
3,287.124291
0.086026
0.929319
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2
15
3.456565
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0.2
test
74
tech-edge65.cloud
fast_flux
1
0
1,230.981312
561.347292
23.504618
1,605.310353
0.650592
0.369945
0.679978
5
17
3.572469
0.117647
0.294118
test
75
tech-api14.co
zero_day
1
1
1,915.022428
349.394067
3.839663
763.163563
0.744511
0.047841
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4
13
3.546594
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test
76
net-static-e190.org
benign
0
0
4,505.373195
327.83636
597.715602
12,426.486163
0.162832
0.706115
0.038572
2
19
3.787144
0.157895
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test
77
auth-media93.info
benign
0
0
18,440.498424
225.21194
292.043053
6,158.076216
0.09545
0.79077
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2
17
3.852169
0.117647
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test
78
mail-cloud35.io
benign
0
0
16,455.389486
305.191483
529.352579
5,194.709279
0.102775
0.819261
0.080446
4
15
3.506891
0.133333
0.4
train
79
gateway-media-22cea1b0.com
benign
0
0
8,287.779615
212.068256
286.650167
8,449.98839
0.01663
0.681234
0.20136
3
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3.902175
0.153846
0.346154
train
80
node-edge32.org
benign
0
0
3,492.54303
372.822583
223.14679
9,802.459869
0.145323
0.71332
0.482449
3
15
3.189898
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test
81
mail-gateway23.com
benign
0
0
10,456.565994
254.519228
371.546496
8,198.515441
0.0892
0.858444
0.175746
2
18
3.794653
0.111111
0.333333
train
82
techglobal-dqnk.info
dga
1
0
18,560.851573
467.437615
484.426631
9,876.42103
0.107697
0.645067
0.146349
3
20
4.021928
0
0.25
test
83
cdn-node20.net
benign
0
0
2,161.209264
842.851264
3.71163
454.574599
0.57134
0.235312
0.514003
2
14
3.182006
0.142857
0.214286
train
84
portal-cloud10.cloud
phishing
1
0
2,445.604174
526.406892
10.580325
1,447.969855
0.616581
0.113027
0.615625
4
20
3.546439
0.1
0.3
test
85
confirm-service45.org
phishing
1
0
7,371.869124
490.208452
401.029453
14,732.902245
0.020553
0.7946
0.078373
5
21
3.784942
0.095238
0.285714
train
86
gateway-portal10.io
benign
0
0
16,181.1159
288.856015
367.531804
2,723.280765
0.070544
0.321204
0.062843
3
19
3.787144
0.105263
0.368421
train
87
7o3lqi7e1ddqlem1.xyz
dga
1
0
18,032.819062
100.508073
619.389681
6,021.723968
0.021114
0.426678
0.328969
2
20
3.721928
0.25
0.2
train
88
tech-client-2bf604.org
benign
0
0
1,414.696355
299.090252
1.004572
806.199326
0.271579
0.484845
0.850929
3
22
4.095795
0.181818
0.181818
train
89
verify-dev27.net
phishing
1
0
11,920.733485
337.315545
429.350259
11,064.24027
0.092744
0.721301
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3
16
3.57782
0.125
0.25
train
90
cluster-edge75.com
benign
0
0
23,797.686172
233.249245
619.472907
4,860.329255
0.159964
0.632672
0.374566
2
18
3.794653
0.111111
0.277778
test
91
portal-api43.info
fast_flux
1
0
10,272.780877
268.050269
485.69298
16,911.954548
0.091366
0.72945
0.236232
2
17
3.616875
0.117647
0.352941
test
92
stream-auth-2324e09.io
benign
0
0
21,750.441895
112.438553
474.474384
5,860.034525
0.076692
0.94592
0.374303
3
22
4.004886
0.272727
0.318182
train
93
data-stream-ac3f8.com
benign
0
0
10,198.249863
321.688008
546.211094
7,458.527738
0.185801
0.575986
0.124208
3
21
3.630413
0.095238
0.285714
train
94
sync-gateway24.org
benign
0
0
907.746885
62.38978
1.340212
262.056403
0.274989
0.481571
0.718965
2
18
3.836592
0.111111
0.222222
test
95
login-auth55.top
phishing
1
0
1,854.90687
495.614213
16.673657
649.38478
0.159981
0.496024
0.584495
3
16
3.625
0.125
0.3125
test
96
node-service15.info
zero_day
1
1
2,483.035731
500.614456
1.368715
593.330994
0.760238
0.304266
0.905643
5
19
3.681881
0.105263
0.368421
train
97
media-sync46.com
zero_day
1
1
3,163.065806
589.154974
1.508595
355.253782
0.593907
0.408166
0.712148
3
16
3.75
0.125
0.25
train
98
tech-secure8.com
benign
0
0
14,311.629905
316.298795
460.304544
13,274.491505
0.103266
0.72684
0.158423
2
16
3.405639
0.0625
0.3125
train
99
secure-client26.io
phishing
1
0
844.348897
226.350088
35.562597
1,276.385322
0.71085
0.418316
0.732375
4
18
3.683542
0.111111
0.388889
train
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