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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 1 new columns ({'text'}) and 4 missing columns ({'num_passages', 'passage_offset', 'num_embeddings', 'embedding_offset'}).
This happened while the json dataset builder was generating data using
hf://datasets/routir/neuclir-plaidx/index/doclens.0.json (at revision a74d54dad85b1c367a6f8a8221eb783e7da90833)
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/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
text: int64
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 189
to
{'passage_offset': Value('int64'), 'num_passages': Value('int64'), 'num_embeddings': Value('int64'), 'embedding_offset': 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 1450, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 993, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.12/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/python3.12/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 1 new columns ({'text'}) and 4 missing columns ({'num_passages', 'passage_offset', 'num_embeddings', 'embedding_offset'}).
This happened while the json dataset builder was generating data using
hf://datasets/routir/neuclir-plaidx/index/doclens.0.json (at revision a74d54dad85b1c367a6f8a8221eb783e7da90833)
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.
passage_offset
int64 | num_passages
int64 | num_embeddings
int64 | embedding_offset
int64 |
|---|---|---|---|
0
| 25,000
| 3,807,027
| 0
|
25,000
| 25,000
| 3,811,844
| 3,807,027
|
250,000
| 25,000
| 3,815,377
| 38,111,730
|
2,500,000
| 25,000
| 3,779,465
| 376,426,755
|
25,000,000
| 25,000
| 3,757,893
| 3,813,364,992
|
25,025,000
| 25,000
| 3,756,943
| 3,817,122,885
|
25,050,000
| 25,000
| 3,712,286
| 3,820,879,828
|
25,075,000
| 25,000
| 3,765,629
| 3,824,592,114
|
25,100,000
| 25,000
| 3,768,338
| 3,828,357,743
|
25,125,000
| 25,000
| 3,791,888
| 3,832,126,081
|
25,150,000
| 25,000
| 3,765,821
| 3,835,917,969
|
25,175,000
| 25,000
| 3,783,220
| 3,839,683,790
|
25,200,000
| 25,000
| 3,773,023
| 3,843,467,010
|
25,225,000
| 25,000
| 3,769,478
| 3,847,240,033
|
2,525,000
| 25,000
| 3,744,055
| 380,206,220
|
25,250,000
| 25,000
| 3,776,259
| 3,851,009,511
|
25,275,000
| 25,000
| 3,806,406
| 3,854,785,770
|
25,300,000
| 25,000
| 3,812,551
| 3,858,592,176
|
25,325,000
| 25,000
| 3,748,176
| 3,862,404,727
|
25,350,000
| 25,000
| 3,809,304
| 3,866,152,903
|
25,375,000
| 25,000
| 3,764,240
| 3,869,962,207
|
25,400,000
| 25,000
| 3,749,282
| 3,873,726,447
|
25,425,000
| 25,000
| 3,884,948
| 3,877,475,729
|
25,450,000
| 25,000
| 3,875,854
| 3,881,360,677
|
25,475,000
| 25,000
| 3,767,763
| 3,885,236,531
|
2,550,000
| 25,000
| 3,747,091
| 383,950,275
|
25,500,000
| 25,000
| 3,857,261
| 3,889,004,294
|
25,525,000
| 25,000
| 3,870,330
| 3,892,861,555
|
25,550,000
| 25,000
| 3,823,708
| 3,896,731,885
|
25,575,000
| 25,000
| 3,801,066
| 3,900,555,593
|
25,600,000
| 25,000
| 3,849,583
| 3,904,356,659
|
25,625,000
| 25,000
| 3,834,855
| 3,908,206,242
|
25,650,000
| 25,000
| 3,794,658
| 3,912,041,097
|
25,675,000
| 25,000
| 3,854,857
| 3,915,835,755
|
25,700,000
| 25,000
| 3,848,343
| 3,919,690,612
|
25,725,000
| 25,000
| 3,743,596
| 3,923,538,955
|
2,575,000
| 25,000
| 3,757,765
| 387,697,366
|
25,750,000
| 25,000
| 3,889,048
| 3,927,282,551
|
25,775,000
| 25,000
| 3,832,508
| 3,931,171,599
|
25,800,000
| 25,000
| 3,844,383
| 3,935,004,107
|
25,825,000
| 25,000
| 3,800,940
| 3,938,848,490
|
25,850,000
| 25,000
| 3,855,405
| 3,942,649,430
|
25,875,000
| 25,000
| 3,855,880
| 3,946,504,835
|
25,900,000
| 25,000
| 3,850,714
| 3,950,360,715
|
25,925,000
| 25,000
| 3,805,487
| 3,954,211,429
|
25,950,000
| 25,000
| 3,814,025
| 3,958,016,916
|
25,975,000
| 25,000
| 3,801,508
| 3,961,830,941
|
2,600,000
| 25,000
| 3,744,013
| 391,455,131
|
26,000,000
| 25,000
| 3,814,080
| 3,965,632,449
|
26,025,000
| 25,000
| 3,844,219
| 3,969,446,529
|
26,050,000
| 25,000
| 3,893,722
| 3,973,290,748
|
26,075,000
| 25,000
| 3,788,335
| 3,977,184,470
|
26,100,000
| 25,000
| 3,867,067
| 3,980,972,805
|
26,125,000
| 25,000
| 3,900,794
| 3,984,839,872
|
26,150,000
| 25,000
| 3,846,534
| 3,988,740,666
|
26,175,000
| 25,000
| 3,900,889
| 3,992,587,200
|
26,200,000
| 25,000
| 3,896,722
| 3,996,488,089
|
26,225,000
| 25,000
| 3,872,843
| 4,000,384,811
|
2,625,000
| 25,000
| 3,747,223
| 395,199,144
|
26,250,000
| 25,000
| 3,863,473
| 4,004,257,654
|
26,275,000
| 25,000
| 3,836,753
| 4,008,121,127
|
26,300,000
| 25,000
| 3,847,261
| 4,011,957,880
|
26,325,000
| 25,000
| 3,855,640
| 4,015,805,141
|
26,350,000
| 25,000
| 3,817,157
| 4,019,660,781
|
26,375,000
| 25,000
| 3,860,896
| 4,023,477,938
|
26,400,000
| 25,000
| 3,870,437
| 4,027,338,834
|
26,425,000
| 25,000
| 3,842,388
| 4,031,209,271
|
26,450,000
| 25,000
| 3,881,389
| 4,035,051,659
|
26,475,000
| 25,000
| 3,848,922
| 4,038,933,048
|
2,650,000
| 25,000
| 3,773,739
| 398,946,367
|
26,500,000
| 25,000
| 3,811,036
| 4,042,781,970
|
26,525,000
| 25,000
| 3,882,159
| 4,046,593,006
|
26,550,000
| 25,000
| 3,846,492
| 4,050,475,165
|
26,575,000
| 25,000
| 3,760,167
| 4,054,321,657
|
26,600,000
| 25,000
| 3,782,566
| 4,058,081,824
|
26,625,000
| 25,000
| 3,815,207
| 4,061,864,390
|
26,650,000
| 25,000
| 3,815,584
| 4,065,679,597
|
26,675,000
| 25,000
| 3,810,029
| 4,069,495,181
|
26,700,000
| 25,000
| 3,852,431
| 4,073,305,210
|
26,725,000
| 25,000
| 3,829,091
| 4,077,157,641
|
2,675,000
| 25,000
| 3,814,633
| 402,720,106
|
26,750,000
| 25,000
| 3,825,547
| 4,080,986,732
|
26,775,000
| 25,000
| 3,846,753
| 4,084,812,279
|
26,800,000
| 25,000
| 3,844,507
| 4,088,659,032
|
26,825,000
| 25,000
| 3,867,055
| 4,092,503,539
|
26,850,000
| 25,000
| 3,817,027
| 4,096,370,594
|
26,875,000
| 25,000
| 3,826,559
| 4,100,187,621
|
26,900,000
| 25,000
| 3,843,599
| 4,104,014,180
|
26,925,000
| 25,000
| 3,825,464
| 4,107,857,779
|
26,950,000
| 25,000
| 3,827,885
| 4,111,683,243
|
26,975,000
| 25,000
| 3,829,674
| 4,115,511,128
|
2,700,000
| 25,000
| 3,820,377
| 406,534,739
|
27,000,000
| 25,000
| 3,802,181
| 4,119,340,802
|
27,025,000
| 25,000
| 3,837,960
| 4,123,142,983
|
27,050,000
| 25,000
| 3,861,955
| 4,126,980,943
|
27,075,000
| 25,000
| 3,857,531
| 4,130,842,898
|
27,100,000
| 25,000
| 3,790,776
| 4,134,700,429
|
27,125,000
| 25,000
| 3,863,593
| 4,138,491,205
|
27,150,000
| 25,000
| 3,930,520
| 4,142,354,798
|
27,175,000
| 25,000
| 3,845,007
| 4,146,285,318
|
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