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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 ({'passage_offset', 'embedding_offset', 'num_embeddings', 'num_passages'}).
This happened while the json dataset builder was generating data using
hf://datasets/darvog/hotpotqa_index_nbits1/hotpotqa/doclens.0.json (at revision c4c163e0ed7011dcc38939ce1800e765ab36cb8b)
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 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, 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(dtype='int64', id=None), 'num_passages': Value(dtype='int64', id=None), 'num_embeddings': Value(dtype='int64', id=None), 'embedding_offset': Value(dtype='int64', 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 1415, 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 991, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, 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 1872, 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 ({'passage_offset', 'embedding_offset', 'num_embeddings', 'num_passages'}).
This happened while the json dataset builder was generating data using
hf://datasets/darvog/hotpotqa_index_nbits1/hotpotqa/doclens.0.json (at revision c4c163e0ed7011dcc38939ce1800e765ab36cb8b)
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 | 1,982,677 | 0 |
25,000 | 25,000 | 1,809,648 | 1,982,677 |
250,000 | 25,000 | 1,711,434 | 17,252,415 |
2,500,000 | 25,000 | 1,367,845 | 153,718,209 |
2,525,000 | 25,000 | 1,314,296 | 155,086,054 |
2,550,000 | 25,000 | 1,353,508 | 156,400,350 |
2,575,000 | 25,000 | 1,417,810 | 157,753,858 |
2,600,000 | 25,000 | 1,436,692 | 159,171,668 |
2,625,000 | 25,000 | 1,357,933 | 160,608,360 |
2,650,000 | 25,000 | 1,329,883 | 161,966,293 |
2,675,000 | 25,000 | 1,343,802 | 163,296,176 |
2,700,000 | 25,000 | 1,325,621 | 164,639,978 |
2,725,000 | 25,000 | 1,461,012 | 165,965,599 |
275,000 | 25,000 | 1,697,469 | 18,963,849 |
2,750,000 | 25,000 | 1,409,455 | 167,426,611 |
2,775,000 | 25,000 | 1,471,149 | 168,836,066 |
2,800,000 | 25,000 | 1,444,396 | 170,307,215 |
2,825,000 | 25,000 | 1,365,459 | 171,751,611 |
2,850,000 | 25,000 | 1,401,439 | 173,117,070 |
2,875,000 | 25,000 | 1,399,774 | 174,518,509 |
2,900,000 | 25,000 | 1,464,120 | 175,918,283 |
2,925,000 | 25,000 | 1,407,748 | 177,382,403 |
2,950,000 | 25,000 | 1,255,629 | 178,790,151 |
2,975,000 | 25,000 | 1,378,063 | 180,045,780 |
300,000 | 25,000 | 1,688,031 | 20,661,318 |
3,000,000 | 25,000 | 1,397,249 | 181,423,843 |
3,025,000 | 25,000 | 1,430,987 | 182,821,092 |
3,050,000 | 25,000 | 1,433,246 | 184,252,079 |
3,075,000 | 25,000 | 1,306,307 | 185,685,325 |
3,100,000 | 25,000 | 1,342,896 | 186,991,632 |
3,125,000 | 25,000 | 1,441,655 | 188,334,528 |
3,150,000 | 25,000 | 1,524,153 | 189,776,183 |
3,175,000 | 25,000 | 1,553,443 | 191,300,336 |
3,200,000 | 25,000 | 1,394,388 | 192,853,779 |
3,225,000 | 25,000 | 1,367,615 | 194,248,167 |
325,000 | 25,000 | 1,687,568 | 22,349,349 |
3,250,000 | 25,000 | 1,494,952 | 195,615,782 |
3,275,000 | 25,000 | 1,408,726 | 197,110,734 |
3,300,000 | 25,000 | 1,408,887 | 198,519,460 |
3,325,000 | 25,000 | 1,445,727 | 199,928,347 |
3,350,000 | 25,000 | 1,455,365 | 201,374,074 |
3,375,000 | 25,000 | 1,410,035 | 202,829,439 |
3,400,000 | 25,000 | 1,482,283 | 204,239,474 |
3,425,000 | 25,000 | 1,384,489 | 205,721,757 |
3,450,000 | 25,000 | 1,338,610 | 207,106,246 |
3,475,000 | 25,000 | 1,338,524 | 208,444,856 |
350,000 | 25,000 | 1,664,902 | 24,036,917 |
3,500,000 | 25,000 | 1,401,242 | 209,783,380 |
3,525,000 | 25,000 | 1,424,799 | 211,184,622 |
3,550,000 | 25,000 | 1,419,075 | 212,609,421 |
3,575,000 | 25,000 | 1,453,796 | 214,028,496 |
3,600,000 | 25,000 | 1,421,664 | 215,482,292 |
3,625,000 | 25,000 | 1,423,655 | 216,903,956 |
3,650,000 | 25,000 | 1,375,025 | 218,327,611 |
3,675,000 | 25,000 | 1,336,844 | 219,702,636 |
3,700,000 | 25,000 | 1,367,488 | 221,039,480 |
3,725,000 | 25,000 | 1,337,473 | 222,406,968 |
375,000 | 25,000 | 1,689,961 | 25,701,819 |
3,750,000 | 25,000 | 1,405,673 | 223,744,441 |
3,775,000 | 25,000 | 1,418,137 | 225,150,114 |
3,800,000 | 25,000 | 1,429,226 | 226,568,251 |
3,825,000 | 25,000 | 1,437,389 | 227,997,477 |
3,850,000 | 25,000 | 1,423,187 | 229,434,866 |
3,875,000 | 25,000 | 1,450,493 | 230,858,053 |
3,900,000 | 25,000 | 1,442,137 | 232,308,546 |
3,925,000 | 25,000 | 1,451,276 | 233,750,683 |
3,950,000 | 25,000 | 1,439,722 | 235,201,959 |
3,975,000 | 25,000 | 1,490,679 | 236,641,681 |
400,000 | 25,000 | 1,696,033 | 27,391,780 |
4,000,000 | 25,000 | 1,468,628 | 238,132,360 |
4,025,000 | 25,000 | 1,440,205 | 239,600,988 |
4,050,000 | 25,000 | 1,411,178 | 241,041,193 |
4,075,000 | 25,000 | 1,457,251 | 242,452,371 |
4,100,000 | 25,000 | 1,470,120 | 243,909,622 |
4,125,000 | 25,000 | 1,454,358 | 245,379,742 |
4,150,000 | 25,000 | 1,448,742 | 246,834,100 |
4,175,000 | 25,000 | 1,450,203 | 248,282,842 |
4,200,000 | 25,000 | 1,478,692 | 249,733,045 |
4,225,000 | 25,000 | 1,389,141 | 251,211,737 |
425,000 | 25,000 | 1,681,206 | 29,087,813 |
4,250,000 | 25,000 | 1,426,657 | 252,600,878 |
4,275,000 | 25,000 | 1,399,794 | 254,027,535 |
4,300,000 | 25,000 | 1,355,366 | 255,427,329 |
4,325,000 | 25,000 | 1,298,673 | 256,782,695 |
4,350,000 | 25,000 | 1,353,333 | 258,081,368 |
4,375,000 | 25,000 | 1,367,409 | 259,434,701 |
4,400,000 | 25,000 | 1,374,874 | 260,802,110 |
4,425,000 | 25,000 | 1,336,974 | 262,176,984 |
4,450,000 | 25,000 | 1,384,219 | 263,513,958 |
4,475,000 | 25,000 | 1,356,702 | 264,898,177 |
450,000 | 25,000 | 1,654,779 | 30,769,019 |
4,500,000 | 25,000 | 1,365,326 | 266,254,879 |
4,525,000 | 25,000 | 1,366,340 | 267,620,205 |
4,550,000 | 25,000 | 1,395,939 | 268,986,545 |
4,575,000 | 25,000 | 1,397,603 | 270,382,484 |
4,600,000 | 25,000 | 1,389,520 | 271,780,087 |
4,625,000 | 25,000 | 1,343,270 | 273,169,607 |
4,650,000 | 25,000 | 1,366,438 | 274,512,877 |
4,675,000 | 25,000 | 1,436,825 | 275,879,315 |
4,700,000 | 25,000 | 1,393,538 | 277,316,140 |
End of preview.
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