Patent-Time-Split
Collection
data for patent time split.
•
2 items
•
Updated
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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 542 new columns ({'-0.04327369229668294', '-0.13493010288415136', '-0.043832421462456285', '-0.007236693326090934.1', '-0.028815574221023096', '-0.041345714916355164', '-0.01439542604066245', '-0.05144816965656806', '-0.06794849775078156', '-0.10467532224816421', '-0.04470883893506607', '-0.012520085474375454', '-0.03370892656043506', '-0.010120073875024102', '-0.09693018014637031', '-0.012521383148021236', '-0.028855538608505468', '-0.014293900295563515', '-0.01881031637353982', '-0.023851630009054707', '-0.053236615782365944', '-0.017645835588328006', '-0.06690556398509624', '-0.024195623488064845', '-0.08220694694329665', '-0.05246211376409976', '-0.21994231288584198', '-0.07810197272356373', '-0.007236693326090942', '-0.03154135844324362', '-0.057893719644006116', '-0.021400109165401627', '-0.10396570954955386', '-0.03506802668979263', '-0.05720871122785877', '-0.03269992412908836', '-0.055168697756311044', '-0.012484245336178701', '-0.020288555326581373', '-0.030248273398073667', '-0.01436388995260882', '-0.014311508301698667', '-0.20738323393664362', '-0.007236693326090927', '-0.012525378825646055', '-0.09680451915462858', '-0.06810274696976426', '-0.012528844991512661', '-0.02450875387812278', '-0.10022679189165204', '-0.10898796504524762', '-0.06089315556137507', '-0.02498724371528341', '-0.04465455482088067', '-0.11384664891390542', '-0.028792360278180308', '-0.02448802796301074', '-0.04104859679047628', '-0.007236693326090938.1', '-0.015945246295928778', '-0.007236693326090911', '-0
...
693326090938.2', '-0.016103360567616482', '-0.19981992850146496', '-0.09384407481263408', '-0.03661066104572455', '-0.06032369238164235', '-0.15650941698216067', '-0.012530505852928966', '-0.041089623489667604', '-0.05567714422442502', '-0.023754006067071353', '-0.04930175086954355', '-0.10844148071929559', '-0.041717024112240327', '-0.027854213289149873', '-0.14567845974814228', '-0.014229731467925652', '-0.06912029067907467', '-0.06663838953647568', '-0.007236693326090906', '-0.11185373529677212', '-0.08513372214770192', '-0.11932484872296799', '-0.10434914617053627', '-0.020276575299740193', '-0.022830706799532405', '-0.043764147345576335', '-0.007236693326090951', '-0.04594251819834287', '-0.07964392569657479', '-0.00723669332609094', '-0.06615758570119658', '-0.07327047979922399', '-0.00723669332609092', '-0.06186228415425959', '-0.06140677581385443', '-0.01437338824014752', '-0.03449029631946383', '-0.10578827468481143', '-0.08709700122209174', '-0.017193097938178248', '-0.08630661763296749', '-0.029401671127499647', '-0.020387295261879892', '-0.042817981248027874', '-0.18280646971616943', '-0.056399096341256644', '-0.03671975942143436', '-0.03037266062971102', '-0.06962335714291651', '-0.02499114612628483', '-0.02167800278662112', '-0.05404929801742774', '-0.01616257625806877', '-0.02592918125033982', '-0.07203210423727457', '-0.07447739965496288', '-0.010227217919180237', '-0.07629056191093166', '-0.06563484075576045', '-0.014285522768500368', '-0.056181583403347966'}) and 543 missing columns ({'-0.0306892563238583', '-0.0072366933260909.20', '-0.040341787255986', '-0.0124520521422226', '-0.0238516300090547', '-0.0386164672386389', '-0.0343590542297736', '-0.0760314641991056', '-0.0279771829497894', '-0.0200824472701041', '-0.0269577873983619', '-0.0502519904140217', '-0.0379365597032676', '-0.0366106610457245', '-0.0399347587060981', '-0.0423244228103144', '-0.1307294553128898', '-0.0940359039566302', '-0.0279483015399538', '-0.0072366933260909.34', '-0.0072366933260909.36', '-0.0424279170471688', '-0.0277368109823575', '-0.1193248487229679', '-0.08541739372139', '-0.0322770938545732', '-0.0901179052479919', '-0.0291347417019896', '-0.0532408203593826', '-0.0161209510347958', '-0.1103998623824901', '-0.0679959724969245', '-0.1487877250217826', '-0.066019999045179', '-0.0294016711274996', '-0.0863066176329674', '-0.0287923602781803', '-0.0472025873306739', '-0.1337905861694539', '-0.0314709484820516', '-0.0410896234896676', '-0.0367197594214343', '-0.0142855227685003', '-0.0101200738750241', '-0.0276414991217856', '-0.0252000632981114', '-0.0203062831606825', '-0.1565094169821606', '-0.0072366933260909.22', '-0.0667418056603906', '-0.0324505110090461', '-0.0102234536349942', '-0.0202392145210566', '-0.0370550565070161', '-0.0690283771048274', '-0.1828064697161694', '-0.0072366933260909.18', '-0.0969301801463703', '-0.033708926560435', '-0.0522515082297325', '-0.1006410450777019', '-0.0822069469432966', '-0.0203562582435653', '-0.071734426603964', '-0.06435445427639
...
.0343227862288356', '-0.0326903561395295', '-0.0460760611392873', '-0.0072366933260909.13', '-0.0889244440086504', '-0.0540475641601758', '-0.1105525804174625', '-0.0328766672553875', '-0.046487274347447', '-0.0144526597860587', '-0.0248714253512748', '-0.0072366933260909.30', '-0.0102322288776232', '-0.0513324485959981', '-0.0227493345440863', '-0.0572087112278587', '-0.0684509322838985', '-0.0072366933260909.33', '-0.0072366933260909.19', '-0.0142939002955635', '-0.0592019918552781', '-0.0072366933260908.5', '-0.0156939246346146', '-0.0413190744221915', '-0.1107350896724717', '-0.1349301028841513', '-0.044708838935066', '-0.0581879481879966', '-0.1123574496695464', '-0.0326999241290883', '-0.1076432890792471', '-0.0694910286611369', '-0.0820333121132223', '-0.1138466489139054', '-0.0457139279504562', '-0.0228538186390332', '-0.0532366157823659', '-0.0532192103455777', '-0.0593436230377453', '-0.0415590789014433', '-0.0160861551589042', '-0.0123879226064127', '-0.0809826600331631', '-0.0788457331762172', '-0.0600413693312592', '-0.0292430392627', '-0.0072366933260909.16', '-0.102331972813889', '-0.0710445725842319', '-0.0484689437740065', '-0.0396128746839865', '-0.0321947567529561', '-0.0332987040346269', '-0.093844074812634', '-0.0214959987815744', '-0.0175694747876723', '-0.0432174305630937', '-0.0324234846138467', '-0.1642326894401066', '-0.0425206221439227', '-0.1381226301564347', '-0.0618622841542595', '-0.2436118661587314', '-0.043419881217353', '-0.0683682950840276'}).
This happened while the csv dataset builder was generating data using
hf://datasets/mizuno-group/patent-time-split-supplementary-folder/chembl/pre_mol_dataset.tsv (at revision d1fa79dd469e3829a70866cda96c2ce7c8d2e64a)
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 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
CC(NC(C)(C)C)C(=O)c1ccc(Br)cc1: string
-0.007236693326090898: double
-0.0335574638649179: double
0.0: double
0.0.1: double
-0.02035625824356532: double
-0.0280115840405932: double
-0.0176684026568719: double
-0.01023409706686023: double
0.0.2: double
-0.023598797921095954: double
-0.02499114612628483: double
0.0.3: double
0.0.4: double
-0.021393588842304433: double
-0.007236693326090938: double
-0.02592918125033982: double
0.0.5: double
0.0.6: double
0.0.7: double
-0.00723669332609094: double
-0.012534846745028833: double
-0.010137734473236504: double
0.0.8: double
-0.06836829508402766: double
-0.08098266003316319: double
-0.01608615515890428: double
-0.014452659786058798: double
0.0.9: double
-0.07594002408156092: double
-0.07810197272356373: double
-0.007236693326090968: double
-0.045713927950456264: double
-0.08925289360851917: double
0.0.10: double
-0.04426040142353196: double
0.0.11: double
-0.04594251819834287: double
-0.12828425813396285: double
-0.1411255543195849: double
-0.05125949118026401: double
-0.05997662179306996: double
0.0.12: double
-0.0728904499253203: double
-0.07418495186506935: double
0.0.13: double
-0.00723669332609086: double
-0.017193097938178248: double
-0.06674180566039063: double
-0.16423268944010663: double
-0.10844148071929559: double
-0.07827715810428797: double
-0.07607863548919626: double
-0.057893719644006116: double
-0.04017856044070589: double
0.0.14: double
-0.05421879161367361: double
-0.06962335714291651: double
0.0.15: double
-0.106364
...
26090901: double
-0.007236693326090934.1: double
-0.016103360567616482: double
-0.08709700122209174: double
0.0.82: double
0.0.83: double
-0.028792360278180308: double
-0.007236693326090945: double
-0.06003923061218591: double
-0.017645835588328006: double
-0.06390306496622912: double
-0.017079940030917725: double
-0.07619303355500488: double
0.0.84: double
-0.017445867687047936: double
-0.012430714529860639: double
-0.016120951034795807: double
-0.016009038443306166: double
0.0.85: double
-0.05225150822973258: double
-0.007236693326090951: double
-0.04321743056309377: double
-0.007236693326090915: double
-0.06398874737069657: double
0.0.86: double
-0.007236693326090932: double
-0.043832421462456285: double
-0.030689256323858376: double
0.0.87: double
0.0.88: double
0.0.89: double
-0.020288555326581373: double
-0.0991421668043909: double
-0.01881031637353982: double
-0.025794324237158394: double
-0.03191146069628147: double
0.0.90: double
-0.03370892656043506: double
0.0.91: double
-0.010232228877623206: double
-0.024656632742739628: double
-0.027948301539953837: double
-0.012520085474375454: double
-0.017633959667903803: double
-0.015945246295928778: double
-0.05507690780038279: double
-0.03147094848205167: double
-0.014239425567796239: double
0.0.92: double
-0.03730298746813347: double
-0.03734967442447125: double
-0.02498724371528341: double
-0.08203331211322233: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 95562
to
{'CC(NC(C)(C)C)C(=O)c1ccc(Br)cc1': Value('string'), '2012.224': Value('float64'), '-0.0072366933260908': Value('float64'), '-0.0335574638649179': Value('float64'), '0.0': Value('float64'), '0.0.1': Value('float64'), '-0.0203562582435653': Value('float64'), '-0.0280115840405932': Value('float64'), '-0.0176684026568719': Value('float64'), '-0.0102340970668602': Value('float64'), '0.0.2': Value('float64'), '-0.0235987979210959': Value('float64'), '-0.0249911461262848': Value('float64'), '0.0.3': Value('float64'), '0.0.4': Value('float64'), '-0.0213935888423044': Value('float64'), '-0.0072366933260909': Value('float64'), '-0.0259291812503398': Value('float64'), '0.0.5': Value('float64'), '0.0.6': Value('float64'), '0.0.7': Value('float64'), '-0.0072366933260909.1': Value('float64'), '-0.0125348467450288': Value('float64'), '-0.0101377344732365': Value('float64'), '0.0.8': Value('float64'), '-0.0683682950840276': Value('float64'), '-0.0809826600331631': Value('float64'), '-0.0160861551589042': Value('float64'), '-0.0144526597860587': Value('float64'), '0.0.9': Value('float64'), '-0.0759400240815609': Value('float64'), '-0.0781019727235637': Value('float64'), '-0.0072366933260909.2': Value('float64'), '-0.0457139279504562': Value('float64'), '-0.0892528936085191': Value('float64'), '0.0.10': Value('float64'), '-0.0442604014235319': Value('float64'), '0.0.11': Value('float64'), '-0.0459425181983428': Value('float64'), '-0.1282842581339628': Value('float64'), '-0.1411255543195849': V
...
0.0174458676870479': Value('float64'), '-0.0124307145298606': Value('float64'), '-0.0161209510347958': Value('float64'), '-0.0160090384433061': Value('float64'), '0.0.85': Value('float64'), '-0.0522515082297325': Value('float64'), '-0.0072366933260909.35': Value('float64'), '-0.0432174305630937': Value('float64'), '-0.0072366933260909.36': Value('float64'), '-0.0639887473706965': Value('float64'), '0.0.86': Value('float64'), '-0.0072366933260909.37': Value('float64'), '-0.0438324214624562': Value('float64'), '-0.0306892563238583': Value('float64'), '0.0.87': Value('float64'), '0.0.88': Value('float64'), '0.0.89': Value('float64'), '-0.0202885553265813': Value('float64'), '-0.0991421668043909': Value('float64'), '-0.0188103163735398': Value('float64'), '-0.0257943242371583': Value('float64'), '-0.0319114606962814': Value('float64'), '0.0.90': Value('float64'), '-0.033708926560435': Value('float64'), '0.0.91': Value('float64'), '-0.0102322288776232': Value('float64'), '-0.0246566327427396': Value('float64'), '-0.0279483015399538': Value('float64'), '-0.0125200854743754': Value('float64'), '-0.0176339596679038': Value('float64'), '-0.0159452462959287': Value('float64'), '-0.0550769078003827': Value('float64'), '-0.0314709484820516': Value('float64'), '-0.0142394255677962': Value('float64'), '0.0.92': Value('float64'), '-0.0373029874681334': Value('float64'), '-0.0373496744244712': Value('float64'), '-0.0249872437152834': Value('float64'), '-0.0820333121132223': 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 1456, 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 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 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 542 new columns ({'-0.04327369229668294', '-0.13493010288415136', '-0.043832421462456285', '-0.007236693326090934.1', '-0.028815574221023096', '-0.041345714916355164', '-0.01439542604066245', '-0.05144816965656806', '-0.06794849775078156', '-0.10467532224816421', '-0.04470883893506607', '-0.012520085474375454', '-0.03370892656043506', '-0.010120073875024102', '-0.09693018014637031', '-0.012521383148021236', '-0.028855538608505468', '-0.014293900295563515', '-0.01881031637353982', '-0.023851630009054707', '-0.053236615782365944', '-0.017645835588328006', '-0.06690556398509624', '-0.024195623488064845', '-0.08220694694329665', '-0.05246211376409976', '-0.21994231288584198', '-0.07810197272356373', '-0.007236693326090942', '-0.03154135844324362', '-0.057893719644006116', '-0.021400109165401627', '-0.10396570954955386', '-0.03506802668979263', '-0.05720871122785877', '-0.03269992412908836', '-0.055168697756311044', '-0.012484245336178701', '-0.020288555326581373', '-0.030248273398073667', '-0.01436388995260882', '-0.014311508301698667', '-0.20738323393664362', '-0.007236693326090927', '-0.012525378825646055', '-0.09680451915462858', '-0.06810274696976426', '-0.012528844991512661', '-0.02450875387812278', '-0.10022679189165204', '-0.10898796504524762', '-0.06089315556137507', '-0.02498724371528341', '-0.04465455482088067', '-0.11384664891390542', '-0.028792360278180308', '-0.02448802796301074', '-0.04104859679047628', '-0.007236693326090938.1', '-0.015945246295928778', '-0.007236693326090911', '-0
...
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This happened while the csv dataset builder was generating data using
hf://datasets/mizuno-group/patent-time-split-supplementary-folder/chembl/pre_mol_dataset.tsv (at revision d1fa79dd469e3829a70866cda96c2ce7c8d2e64a)
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.
CC(NC(C)(C)C)C(=O)c1ccc(Br)cc1
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Nc1cc(Cl)c(S(N)(=O)=O)cc1S(N)(=O)=O
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| 0
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| 1.812269
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| -0.014395
| -0.11012
| -0.021554
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| -0.051561
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| -0.057809
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| -0.014412
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| -0.007237
| -0.145678
| -0.015694
| 8.396539
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| -0.143901
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| -0.014228
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| -0.027854
| -0.031326
| -0.069993
| -0.017615
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| 0
| -0.067495
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| -0.052549
| -0.019097
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| -0.031043
| 8.126961
| -0.021683
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| -0.052462
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| -0.035909
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| -0.023754
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| -0.101146
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| -0.007237
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| -0.014294
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| -0.038037
| -0.036379
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| -0.063905
| -0.012531
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| -0.016121
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| -0.007237
| 14.781325
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| 0
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| -0.033709
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| -0.031471
| -0.014239
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| -0.037303
| -0.03735
| -0.024987
| -0.082033
|
CC(=O)Oc1ccccc1C(=O)O
| 1,973.044
| -0.007237
| -0.033557
| 0
| 0
| -0.020356
| -0.028012
| -0.017668
| -0.010234
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| -0.023599
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| 0
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