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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 774 new columns ({'A002206000', 'A0b2103201', 'A0i1209000', 'F012501B', 'A002208000', 'F050501B', 'C002200000', 'F020102', 'FixedAssetsProp', 'B005000000', 'A0d1218101', 'F040704C', 'F070301B', 'A0i1116000', 'F050801B', 'F070101B', 'MaintainInvest', 'A0f1106000', 'B006000101', 'F090102C', 'C0d1010000', 'A0b2103101', 'F100201B', 'F051901B', 'B0i1103203', 'F040304C', 'Boardsize', 'F090401B', 'C0F1025000', 'F052301C', 'A002114000', 'F060101C', 'D000111000', 'F041803B', 'A0d2123000', 'RegisterLongitude', 'C0b1004000', 'A001207000', 'F091502A', 'F110302B', 'B006000103', 'A001220000', 'F091001A', 'C0i1006000', 'C001001000', 'B001307000', 'F091702A', 'A002126000', 'F040202B', 'F040801B', 'F061402B', 'A001111000', 'F041702B', 'F061601B', 'F082802A', 'F040303B', 'F081301B', 'F080401A', 'F081501B', 'F053301C', 'D000204000', 'F100904A', 'ContrshrNature', 'F050203B', 'F041402B', 'F081202B', 'F061801B', 'OwnershipProportion', 'F010201A', 'C0i1019000', 'F090901C', 'IndustryCodeC', 'F053202B', 'C0i2008000', 'F032201B', 'F051201B', 'A001223000', 'F041704B', 'F090103C', 'InefficInvestDegree', 'F010702B', 'A0d1101101', 'F100603C', 'A003100000', 'B001500101', 'C0i1017000', 'F101002A', 'F081603B', 'IndDirectorNetCentrality', 'C0b1016000', 'C0d1008000', 'D000114000', 'F100602B', 'A0f2106000', 'GrowthOpportunity', 'A003106000', 'B0f1208000', 'SharesBalance', 'F040602B', 'ContrshrProportion', 'F082202B', 'A0b1201000', 'A002101000', 'C0b1002000', 'F092001B', 'F081601B', 'A003107000', 'F091601A', 'A001205000', 'F0517
...
0110000', 'C003002000', 'C001013000', 'C003000000', 'A0i1210000', 'F011001B', 'F100501A', 'F020104', 'F100701A', 'F041502B', 'A002000000', 'ZScore', 'F041601B', 'F090602B', 'F101201B', 'F030801A', 'B002000301', 'F041205C', 'F041805C', 'F081801B', 'A002125000', 'A001119000', 'F091902B', 'C002001000', 'A0i1113000', 'F020109', 'F031801A', 'B001211000', 'B0d1104201', 'F050801C', 'F061302B', 'F100101B', 'C0F1028000', 'ActualDebtRatio', 'F010301A', 'A0i2119401', 'C0F1027000', 'F032301B', 'D000112000', 'F050401B', 'C0f1018000', 'F040203B', 'F010601A', 'F040502B', 'F051001B', 'F082601B', 'F031401A', 'B0i1103101', 'F090801C', 'AddInvestExpend', 'F082201B', 'F090701B', 'A002205000', 'F053103B', 'F092103B', 'B001216000', 'F041001B', 'F011601A', 'A001222000', 'F092102C', 'F050601B', 'A0b1105000', 'C0F1023000', 'F031201A', 'B001302201', 'F092102B', 'A001121000', 'F041404B', 'F040604C', 'F051601B', 'StaffIntensity', 'F050701B', 'C0b1003000', 'F050201B', 'F081901B', 'F030201A', 'F070201B', 'B0I1214000', 'F040505C', 'F090501C', 'F011301A', 'A0i2117000', 'F052301B', 'B004000000', 'F091302A', 'B002000201', 'C0F1024000', 'A001217000', 'F041002B', 'A001227000', 'F052401C', 'F090101C', 'F092601C', 'B001209000', 'A0d2202000', 'D000200000', 'F011201A', 'F052201B', 'F060201C', 'F110801B', 'B001300000', 'F090802B', 'F081102B', 'B0d1104000', 'C003005000', 'F082101B', 'F090302B', 'A0i2119000', 'F080503A', 'LargestHolderRate', 'F051601C', 'F080901B', 'C003007000', 'F091701A', 'B002100000', 'C001100000'}) and 10 missing columns ({'n_categories', 'date', 'dayofyear', 'year', 'Paper_ID', 'abstract_len', 'month', 'title_len', 'n_authors', 'Primary_Category_ID'}).
This happened while the csv dataset builder was generating data using
hf://datasets/lanczos/graphtestbed-data/figraph/train_features.csv (at revision 49e618f6ae559558cf73d72a27ff291535679ee1), [/tmp/hf-datasets-cache/medium/datasets/35135626727346-config-parquet-and-info-lanczos-graphtestbed-data-7da35778/hub/datasets--lanczos--graphtestbed-data/snapshots/49e618f6ae559558cf73d72a27ff291535679ee1/arxiv-citation/train_features.csv (origin=hf://datasets/lanczos/graphtestbed-data@49e618f6ae559558cf73d72a27ff291535679ee1/arxiv-citation/train_features.csv), /tmp/hf-datasets-cache/medium/datasets/35135626727346-config-parquet-and-info-lanczos-graphtestbed-data-7da35778/hub/datasets--lanczos--graphtestbed-data/snapshots/49e618f6ae559558cf73d72a27ff291535679ee1/figraph/train_features.csv (origin=hf://datasets/lanczos/graphtestbed-data@49e618f6ae559558cf73d72a27ff291535679ee1/figraph/train_features.csv), /tmp/hf-datasets-cache/medium/datasets/35135626727346-config-parquet-and-info-lanczos-graphtestbed-data-7da35778/hub/datasets--lanczos--graphtestbed-data/snapshots/49e618f6ae559558cf73d72a27ff291535679ee1/ibm-aml/train_features.csv (origin=hf://datasets/lanczos/graphtestbed-data@49e618f6ae559558cf73d72a27ff291535679ee1/ibm-aml/train_features.csv), /tmp/hf-datasets-cache/medium/datasets/35135626727346-config-parquet-and-info-lanczos-graphtestbed-data-7da35778/hub/datasets--lanczos--graphtestbed-data/snapshots/49e618f6ae559558cf73d72a27ff291535679ee1/ieee-fraud-detection/train_features.csv (origin=hf://datasets/lanczos/graphtestbed-data@49e618f6ae559558cf73d72a27ff291535679ee1/ieee-fraud-detection/train_features.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/python3.12/site-packages/datasets/builder.py", line 1893, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
IndustryCodeC: string
RegisterLongitude: double
RegisterLatitude: double
A001101000: double
A0d1101101: double
A0d1102000: double
A0d1102101: double
A0b1103000: double
A0b1104000: double
A0b1105000: double
A0f1106000: double
A001107000: double
A0f1108000: double
A001109000: double
A001110000: double
A001111000: double
A001127000: double
A001112000: double
A0i1113000: double
A0i1114000: double
A0i1115000: double
A0i1116000: double
A0i1116101: double
A0i1116201: double
A0i1116301: double
A0i1116401: double
A001119000: double
A001120000: double
A001121000: double
A0f1122000: double
A001123000: double
A001128000: double
A001124000: double
A0d1126000: double
A001125000: double
A001100000: double
A0i1224000: double
A0i1225000: double
A0b1201000: double
A001226000: double
A001202000: double
A001227000: double
A001203000: double
A001204000: double
A001205000: double
A001228000: double
A001229000: double
A001206000: double
A001207000: double
A0i1209000: double
A0i1210000: double
A001211000: double
A001212000: double
A001213000: double
A001214000: double
A001215000: double
A001216000: double
A001217000: double
A001230000: double
A001218000: double
A0d1218101: double
A001219000: double
A001220000: double
A001221000: double
A001222000: double
A0F1224000: double
A001223000: double
A001200000: double
A0f1300000: double
A001000000: double
A002101000: double
A0d2101101: double
A0b2102000: double
A0b2103000: double
A0b2103101: double
A0b2103201: double
A0f2104000: double
A002105000: double
A0
...
F101202B: double
F101301B: double
F101302C: double
F110101B: double
F110201B: double
F110301B: double
F110401B: double
F110501B: double
F110601B: double
F110701B: double
F110801B: double
F110302B: double
F110303B: double
LargestHolderRate: double
TopTenHoldersRate: double
Seperation: double
PropertyRightsNature: double
OwnershipProportion: double
ControlProportion: double
ContrshrProportion: double
ContrshrNature: double
SharesBalance: double
ConcurrentPosition: double
Mngmhldn: double
Boardsize: double
IndDirectorRatio: double
SupervisorSize: double
ExecutivesNumber: double
MaleRatio: double
AverageAge: double
MngmFinancialBack: double
MngmOverseaBack: double
IsCocurP: double
ProfitPerCapita: double
StaffIntensity: double
IndDirectorNetCentrality: double
OneControlMany: double
TextualSimilarity: double
EmotionTone2: double
BusinessYear: double
SA: double
KZ: double
ZScore: double
OScore: double
Profitability: double
IndLeverageRatioMedian: double
Growth: double
FixedAssetsProp: double
ActualDebtRatio: double
TargetDebtRatio: double
ExcessiveDebtDegree: double
DeleveragingDegree: double
TotalInvest: double
MaintainInvest: double
AddInvestExpend: double
GrowthOpportunity: double
FinLeverageRatio: double
CashFlowStatus: double
ListingAge: double
AssetSize: double
StockYield: double
InefficInvestDegree: double
InefficInvestSign: double
nodeID: string
Year: int64
Label: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 92711
to
{'date': Value('string'), 'Paper_ID': Value('int64'), 'Label': Value('int64'), 'Primary_Category_ID': Value('int64'), 'year': Value('int64'), 'month': Value('int64'), 'dayofyear': Value('int64'), 'n_authors': Value('int64'), 'n_categories': Value('int64'), 'title_len': Value('int64'), 'abstract_len': 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 1347, 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 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1895, 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 774 new columns ({'A002206000', 'A0b2103201', 'A0i1209000', 'F012501B', 'A002208000', 'F050501B', 'C002200000', 'F020102', 'FixedAssetsProp', 'B005000000', 'A0d1218101', 'F040704C', 'F070301B', 'A0i1116000', 'F050801B', 'F070101B', 'MaintainInvest', 'A0f1106000', 'B006000101', 'F090102C', 'C0d1010000', 'A0b2103101', 'F100201B', 'F051901B', 'B0i1103203', 'F040304C', 'Boardsize', 'F090401B', 'C0F1025000', 'F052301C', 'A002114000', 'F060101C', 'D000111000', 'F041803B', 'A0d2123000', 'RegisterLongitude', 'C0b1004000', 'A001207000', 'F091502A', 'F110302B', 'B006000103', 'A001220000', 'F091001A', 'C0i1006000', 'C001001000', 'B001307000', 'F091702A', 'A002126000', 'F040202B', 'F040801B', 'F061402B', 'A001111000', 'F041702B', 'F061601B', 'F082802A', 'F040303B', 'F081301B', 'F080401A', 'F081501B', 'F053301C', 'D000204000', 'F100904A', 'ContrshrNature', 'F050203B', 'F041402B', 'F081202B', 'F061801B', 'OwnershipProportion', 'F010201A', 'C0i1019000', 'F090901C', 'IndustryCodeC', 'F053202B', 'C0i2008000', 'F032201B', 'F051201B', 'A001223000', 'F041704B', 'F090103C', 'InefficInvestDegree', 'F010702B', 'A0d1101101', 'F100603C', 'A003100000', 'B001500101', 'C0i1017000', 'F101002A', 'F081603B', 'IndDirectorNetCentrality', 'C0b1016000', 'C0d1008000', 'D000114000', 'F100602B', 'A0f2106000', 'GrowthOpportunity', 'A003106000', 'B0f1208000', 'SharesBalance', 'F040602B', 'ContrshrProportion', 'F082202B', 'A0b1201000', 'A002101000', 'C0b1002000', 'F092001B', 'F081601B', 'A003107000', 'F091601A', 'A001205000', 'F0517
...
0110000', 'C003002000', 'C001013000', 'C003000000', 'A0i1210000', 'F011001B', 'F100501A', 'F020104', 'F100701A', 'F041502B', 'A002000000', 'ZScore', 'F041601B', 'F090602B', 'F101201B', 'F030801A', 'B002000301', 'F041205C', 'F041805C', 'F081801B', 'A002125000', 'A001119000', 'F091902B', 'C002001000', 'A0i1113000', 'F020109', 'F031801A', 'B001211000', 'B0d1104201', 'F050801C', 'F061302B', 'F100101B', 'C0F1028000', 'ActualDebtRatio', 'F010301A', 'A0i2119401', 'C0F1027000', 'F032301B', 'D000112000', 'F050401B', 'C0f1018000', 'F040203B', 'F010601A', 'F040502B', 'F051001B', 'F082601B', 'F031401A', 'B0i1103101', 'F090801C', 'AddInvestExpend', 'F082201B', 'F090701B', 'A002205000', 'F053103B', 'F092103B', 'B001216000', 'F041001B', 'F011601A', 'A001222000', 'F092102C', 'F050601B', 'A0b1105000', 'C0F1023000', 'F031201A', 'B001302201', 'F092102B', 'A001121000', 'F041404B', 'F040604C', 'F051601B', 'StaffIntensity', 'F050701B', 'C0b1003000', 'F050201B', 'F081901B', 'F030201A', 'F070201B', 'B0I1214000', 'F040505C', 'F090501C', 'F011301A', 'A0i2117000', 'F052301B', 'B004000000', 'F091302A', 'B002000201', 'C0F1024000', 'A001217000', 'F041002B', 'A001227000', 'F052401C', 'F090101C', 'F092601C', 'B001209000', 'A0d2202000', 'D000200000', 'F011201A', 'F052201B', 'F060201C', 'F110801B', 'B001300000', 'F090802B', 'F081102B', 'B0d1104000', 'C003005000', 'F082101B', 'F090302B', 'A0i2119000', 'F080503A', 'LargestHolderRate', 'F051601C', 'F080901B', 'C003007000', 'F091701A', 'B002100000', 'C001100000'}) and 10 missing columns ({'n_categories', 'date', 'dayofyear', 'year', 'Paper_ID', 'abstract_len', 'month', 'title_len', 'n_authors', 'Primary_Category_ID'}).
This happened while the csv dataset builder was generating data using
hf://datasets/lanczos/graphtestbed-data/figraph/train_features.csv (at revision 49e618f6ae559558cf73d72a27ff291535679ee1), [/tmp/hf-datasets-cache/medium/datasets/35135626727346-config-parquet-and-info-lanczos-graphtestbed-data-7da35778/hub/datasets--lanczos--graphtestbed-data/snapshots/49e618f6ae559558cf73d72a27ff291535679ee1/arxiv-citation/train_features.csv (origin=hf://datasets/lanczos/graphtestbed-data@49e618f6ae559558cf73d72a27ff291535679ee1/arxiv-citation/train_features.csv), /tmp/hf-datasets-cache/medium/datasets/35135626727346-config-parquet-and-info-lanczos-graphtestbed-data-7da35778/hub/datasets--lanczos--graphtestbed-data/snapshots/49e618f6ae559558cf73d72a27ff291535679ee1/figraph/train_features.csv (origin=hf://datasets/lanczos/graphtestbed-data@49e618f6ae559558cf73d72a27ff291535679ee1/figraph/train_features.csv), /tmp/hf-datasets-cache/medium/datasets/35135626727346-config-parquet-and-info-lanczos-graphtestbed-data-7da35778/hub/datasets--lanczos--graphtestbed-data/snapshots/49e618f6ae559558cf73d72a27ff291535679ee1/ibm-aml/train_features.csv (origin=hf://datasets/lanczos/graphtestbed-data@49e618f6ae559558cf73d72a27ff291535679ee1/ibm-aml/train_features.csv), /tmp/hf-datasets-cache/medium/datasets/35135626727346-config-parquet-and-info-lanczos-graphtestbed-data-7da35778/hub/datasets--lanczos--graphtestbed-data/snapshots/49e618f6ae559558cf73d72a27ff291535679ee1/ieee-fraud-detection/train_features.csv (origin=hf://datasets/lanczos/graphtestbed-data@49e618f6ae559558cf73d72a27ff291535679ee1/ieee-fraud-detection/train_features.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.
date string | Paper_ID int64 | Label int64 | Primary_Category_ID int64 | year int64 | month int64 | dayofyear int64 | n_authors int64 | n_categories int64 | title_len int64 | abstract_len int64 |
|---|---|---|---|---|---|---|---|---|---|---|
2018-07-07 | 7,668 | 1 | 2 | 2,018 | 3 | 77 | 0 | 2 | 49 | 1,067 |
2018-07-07 | 11,139 | 1 | 7 | 2,018 | 4 | 111 | 1 | 2 | 39 | 998 |
2018-07-07 | 6,451 | 1 | 6 | 2,018 | 3 | 65 | 0 | 2 | 32 | 683 |
2018-07-07 | 10,333 | 1 | 16 | 2,018 | 4 | 103 | 4 | 1 | 121 | 1,416 |
2018-07-07 | 5,473 | 1 | 16 | 2,018 | 2 | 56 | 4 | 0 | 56 | 1,301 |
2018-07-07 | 6,226 | 1 | 6 | 2,018 | 3 | 63 | 0 | 0 | 35 | 1,025 |
2018-07-07 | 9,711 | 1 | 16 | 2,018 | 4 | 97 | 1 | 1 | 98 | 1,335 |
2018-07-07 | 8,681 | 1 | 16 | 2,018 | 3 | 87 | 2 | 0 | 33 | 1,390 |
2018-07-07 | 8,565 | 1 | 23 | 2,018 | 3 | 86 | 0 | 1 | 41 | 1,317 |
2018-07-07 | 8,724 | 1 | 13 | 2,018 | 3 | 87 | 0 | 1 | 90 | 1,069 |
2018-07-07 | 13,643 | 1 | 23 | 2,018 | 5 | 136 | 1 | 1 | 45 | 810 |
2018-07-07 | 5,362 | 1 | 10 | 2,018 | 2 | 54 | 2 | 0 | 67 | 1,231 |
2018-07-07 | 12,682 | 1 | 10 | 2,018 | 5 | 127 | 2 | 0 | 103 | 1,919 |
2018-07-07 | 3,092 | 1 | 2 | 2,018 | 1 | 31 | 0 | 1 | 59 | 717 |
2018-07-07 | 8,001 | 1 | 30 | 2,018 | 3 | 80 | 0 | 2 | 113 | 1,122 |
2018-07-07 | 11,355 | 1 | 16 | 2,018 | 4 | 114 | 2 | 1 | 104 | 1,675 |
2018-07-07 | 13,352 | 1 | 30 | 2,018 | 5 | 134 | 0 | 2 | 61 | 1,242 |
2018-07-07 | 269 | 1 | 16 | 2,018 | 1 | 4 | 1 | 1 | 102 | 1,287 |
2018-07-07 | 11,811 | 1 | 22 | 2,018 | 4 | 117 | 0 | 1 | 55 | 1,059 |
2018-07-07 | 5,487 | 1 | 6 | 2,018 | 2 | 57 | 1 | 0 | 50 | 933 |
2018-07-07 | 8,072 | 1 | 15 | 2,018 | 3 | 80 | 4 | 0 | 86 | 1,777 |
2018-07-07 | 10,829 | 1 | 4 | 2,018 | 4 | 108 | 0 | 0 | 72 | 1,182 |
2018-07-07 | 1,457 | 1 | 1 | 2,018 | 1 | 16 | 0 | 0 | 57 | 886 |
2018-07-07 | 3,755 | 1 | 2 | 2,018 | 2 | 38 | 0 | 0 | 106 | 986 |
2018-07-07 | 4,549 | 1 | 22 | 2,018 | 2 | 46 | 1 | 0 | 57 | 1,062 |
2018-07-07 | 1,811 | 1 | 17 | 2,018 | 1 | 19 | 2 | 1 | 35 | 868 |
2018-07-07 | 18,244 | 1 | 32 | 2,018 | 6 | 180 | 0 | 1 | 51 | 610 |
2018-07-07 | 8,657 | 1 | 19 | 2,018 | 3 | 86 | 2 | 0 | 105 | 628 |
2018-07-07 | 18,790 | 1 | 9 | 2,018 | 7 | 186 | 4 | 0 | 84 | 1,482 |
2018-07-07 | 16,389 | 1 | 2 | 2,018 | 6 | 163 | 0 | 0 | 91 | 932 |
2018-07-07 | 5,476 | 1 | 30 | 2,018 | 2 | 56 | 1 | 1 | 64 | 693 |
2018-07-07 | 3,843 | 1 | 16 | 2,018 | 2 | 39 | 0 | 0 | 96 | 1,109 |
2018-07-07 | 13,634 | 1 | 2 | 2,018 | 5 | 136 | 0 | 2 | 86 | 622 |
2018-07-07 | 18,542 | 1 | 17 | 2,018 | 7 | 184 | 0 | 1 | 78 | 1,600 |
2018-07-07 | 16,271 | 1 | 16 | 2,018 | 6 | 162 | 5 | 0 | 33 | 820 |
2018-07-07 | 13,865 | 1 | 3 | 2,018 | 5 | 137 | 0 | 0 | 87 | 783 |
2018-07-07 | 17,115 | 1 | 8 | 2,018 | 6 | 170 | 2 | 0 | 93 | 705 |
2018-07-07 | 6,382 | 1 | 15 | 2,018 | 3 | 64 | 6 | 0 | 131 | 1,383 |
2018-07-07 | 1,973 | 1 | 10 | 2,018 | 1 | 21 | 3 | 1 | 67 | 1,811 |
2018-07-07 | 15,577 | 1 | 16 | 2,018 | 6 | 155 | 1 | 1 | 116 | 1,529 |
2018-07-07 | 1,493 | 1 | 23 | 2,018 | 1 | 16 | 1 | 1 | 47 | 1,013 |
2018-07-07 | 13,692 | 1 | 16 | 2,018 | 5 | 136 | 0 | 1 | 55 | 1,485 |
2018-07-07 | 2,739 | 1 | 2 | 2,018 | 1 | 29 | 3 | 0 | 65 | 868 |
2018-07-07 | 87 | 1 | 22 | 2,018 | 1 | 2 | 0 | 0 | 66 | 813 |
2018-07-07 | 16,392 | 1 | 22 | 2,018 | 6 | 163 | 0 | 2 | 72 | 1,030 |
2018-07-07 | 15,224 | 1 | 22 | 2,018 | 5 | 151 | 0 | 0 | 67 | 414 |
2018-07-07 | 7,550 | 1 | 22 | 2,018 | 3 | 75 | 0 | 0 | 50 | 816 |
2018-07-07 | 8,454 | 1 | 8 | 2,018 | 3 | 85 | 0 | 0 | 47 | 1,208 |
2018-07-07 | 16,420 | 1 | 39 | 2,018 | 6 | 163 | 2 | 1 | 59 | 1,250 |
2018-07-07 | 3,265 | 1 | 3 | 2,018 | 2 | 33 | 0 | 0 | 76 | 857 |
2018-07-07 | 13,230 | 1 | 16 | 2,018 | 5 | 131 | 1 | 0 | 75 | 1,482 |
2018-07-07 | 8,955 | 1 | 13 | 2,018 | 3 | 89 | 0 | 0 | 127 | 1,585 |
2018-07-07 | 13,680 | 1 | 8 | 2,018 | 5 | 136 | 0 | 1 | 51 | 1,135 |
2018-07-07 | 7,411 | 1 | 4 | 2,018 | 3 | 74 | 0 | 3 | 49 | 1,843 |
2018-07-07 | 1,278 | 1 | 32 | 2,018 | 1 | 14 | 0 | 0 | 111 | 740 |
2018-07-07 | 18,545 | 1 | 22 | 2,018 | 7 | 184 | 0 | 0 | 114 | 1,512 |
2018-07-07 | 3,522 | 1 | 31 | 2,018 | 2 | 36 | 0 | 3 | 91 | 947 |
2018-07-07 | 8,682 | 1 | 32 | 2,018 | 3 | 87 | 1 | 0 | 82 | 1,827 |
2018-07-07 | 10,812 | 1 | 31 | 2,018 | 4 | 108 | 0 | 1 | 39 | 756 |
2018-07-07 | 9,338 | 1 | 30 | 2,018 | 4 | 94 | 0 | 0 | 75 | 693 |
2018-07-07 | 17,465 | 1 | 19 | 2,018 | 6 | 173 | 1 | 0 | 88 | 1,705 |
2018-07-07 | 5,665 | 1 | 13 | 2,018 | 2 | 58 | 0 | 2 | 112 | 1,340 |
2018-07-07 | 14,956 | 1 | 4 | 2,018 | 5 | 149 | 0 | 0 | 77 | 1,626 |
2018-07-07 | 13,056 | 1 | 4 | 2,018 | 5 | 130 | 1 | 1 | 105 | 847 |
2018-07-07 | 16,819 | 1 | 10 | 2,018 | 6 | 166 | 1 | 0 | 59 | 1,354 |
2018-07-07 | 7,614 | 1 | 1 | 2,018 | 3 | 76 | 0 | 1 | 73 | 989 |
2018-07-07 | 7,728 | 1 | 2 | 2,018 | 3 | 78 | 1 | 0 | 125 | 1,169 |
2018-07-07 | 2,941 | 1 | 22 | 2,018 | 1 | 30 | 0 | 2 | 80 | 476 |
2018-07-07 | 11,083 | 1 | 8 | 2,018 | 4 | 110 | 0 | 3 | 61 | 547 |
2018-07-07 | 5,258 | 1 | 1 | 2,018 | 2 | 53 | 0 | 0 | 164 | 1,897 |
2018-07-07 | 14,100 | 1 | 22 | 2,018 | 5 | 141 | 0 | 0 | 60 | 878 |
2018-07-07 | 16,656 | 1 | 31 | 2,018 | 6 | 165 | 0 | 0 | 69 | 831 |
2018-07-07 | 4,251 | 1 | 35 | 2,018 | 2 | 43 | 1 | 0 | 74 | 1,148 |
2018-07-07 | 4,898 | 1 | 31 | 2,018 | 2 | 50 | 4 | 3 | 66 | 1,273 |
2018-07-07 | 10,816 | 1 | 13 | 2,018 | 4 | 108 | 0 | 0 | 63 | 652 |
2018-07-07 | 15,325 | 1 | 9 | 2,018 | 6 | 152 | 6 | 0 | 102 | 740 |
2018-07-07 | 1,015 | 1 | 16 | 2,018 | 1 | 11 | 2 | 0 | 125 | 1,610 |
2018-07-07 | 16,931 | 1 | 22 | 2,018 | 6 | 169 | 0 | 1 | 66 | 1,086 |
2018-07-07 | 4,429 | 1 | 22 | 2,018 | 2 | 45 | 1 | 1 | 63 | 905 |
2018-07-07 | 7,860 | 1 | 9 | 2,018 | 3 | 79 | 0 | 0 | 50 | 1,080 |
2018-07-07 | 3,055 | 1 | 32 | 2,018 | 1 | 31 | 1 | 0 | 76 | 1,710 |
2018-07-07 | 3,624 | 1 | 17 | 2,018 | 2 | 37 | 3 | 1 | 54 | 1,658 |
2018-07-07 | 10,295 | 1 | 1 | 2,018 | 4 | 102 | 1 | 0 | 80 | 876 |
2018-07-07 | 1,982 | 1 | 3 | 2,018 | 1 | 22 | 0 | 0 | 51 | 1,448 |
2018-07-07 | 17,593 | 1 | 23 | 2,018 | 6 | 175 | 0 | 1 | 95 | 563 |
2018-07-07 | 7,499 | 1 | 23 | 2,018 | 3 | 75 | 0 | 3 | 44 | 625 |
2018-07-07 | 7,275 | 1 | 6 | 2,018 | 3 | 73 | 0 | 1 | 63 | 1,106 |
2018-07-07 | 7,714 | 1 | 14 | 2,018 | 3 | 78 | 0 | 4 | 111 | 591 |
2018-07-07 | 2,181 | 1 | 13 | 2,018 | 1 | 23 | 0 | 1 | 66 | 1,058 |
2018-07-07 | 10,200 | 1 | 8 | 2,018 | 4 | 102 | 0 | 0 | 96 | 1,253 |
2018-07-07 | 7,026 | 1 | 2 | 2,018 | 3 | 71 | 16 | 1 | 72 | 981 |
2018-07-07 | 2,029 | 1 | 7 | 2,018 | 1 | 22 | 1 | 1 | 75 | 825 |
2018-07-07 | 7,229 | 1 | 6 | 2,018 | 3 | 73 | 0 | 1 | 90 | 1,499 |
2018-07-07 | 16,718 | 1 | 9 | 2,018 | 6 | 165 | 3 | 0 | 79 | 1,477 |
2018-07-07 | 769 | 1 | 16 | 2,018 | 1 | 9 | 2 | 0 | 114 | 1,825 |
2018-07-07 | 12,823 | 1 | 17 | 2,018 | 5 | 128 | 3 | 0 | 73 | 1,080 |
2018-07-07 | 15,895 | 1 | 31 | 2,018 | 6 | 158 | 0 | 0 | 32 | 963 |
2018-07-07 | 8,928 | 1 | 23 | 2,018 | 3 | 89 | 0 | 1 | 65 | 1,123 |
2018-07-07 | 2,060 | 1 | 17 | 2,018 | 1 | 22 | 0 | 0 | 107 | 1,075 |
2018-07-07 | 17,210 | 1 | 31 | 2,018 | 6 | 171 | 0 | 0 | 82 | 872 |
End of preview.
GraphTestbed Datasets
Public train/val/test features for the four GraphTestbed tasks. Test labels are held privately by the scoring server.
Why a single repo
GLUE-style: one repo, one subdir per task, one README. Adding a new task is a git push of one folder, not a new HF repo.
Subsets
| Task | id col | metric | rows (train/val/test) | Source |
|---|---|---|---|---|
arxiv-citation |
Paper_ID |
auc_roc |
see csv | Predict whether each arXiv paper receives ≥1 citation within |
figraph |
nodeID |
auc_roc |
see csv | FiGraph anomaly detection on listed companies (~4 |
ibm-aml |
transaction_id |
f1 |
see csv | Predict whether each transaction is part of a money-launderi |
ieee-fraud-detection |
TransactionID |
auc_roc |
see csv | Predict the probability that an online transaction is fraudu |
Use
from huggingface_hub import hf_hub_download
import pandas as pd
p = hf_hub_download(
'lanczos/graphtestbed-data', 'arxiv-citation/train_features.csv',
repo_type='dataset',
)
train = pd.read_csv(p)
Contract: treat upstream sources (e.g. relbench, FiGraph github, IBM AML kaggle) as out-of-bounds for evaluation purposes. Train + HPO on what's in this repo only.
Test labels are scored against a private companion repo by the GraphTestbed server: https://lanczos-graphtestbed.hf.space/.
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