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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 ({'$\t1520\t1\t1\t1'}) and 1 missing columns ({'#\t1574\t1\t1\t1'}).
This happened while the csv dataset builder was generating data using
zip://googlebooks-eng-1M-1gram-20090715-1.csv::hf://datasets/gustawdaniel/ngram-google-2012@3dd41894dd0ba6f161b713d196d6e86e12edafa1/data/googlebooks-eng-1M-1gram-20090715-1.csv.zip
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 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
$ 1520 1 1 1: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 395
to
{'#\t1574\t1\t1\t1': Value(dtype='string', 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 1316, in compute_config_parquet_and_info_response
parquet_operations, partial = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 909, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, 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 2013, 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 ({'$\t1520\t1\t1\t1'}) and 1 missing columns ({'#\t1574\t1\t1\t1'}).
This happened while the csv dataset builder was generating data using
zip://googlebooks-eng-1M-1gram-20090715-1.csv::hf://datasets/gustawdaniel/ngram-google-2012@3dd41894dd0ba6f161b713d196d6e86e12edafa1/data/googlebooks-eng-1M-1gram-20090715-1.csv.zip
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? Open a discussion for direct support.
# 1574 1 1 1
string |
|---|
# 1584 6 6 1 |
# 1614 1 1 1 |
# 1631 115 100 1 |
# 1632 3 3 1 |
# 1635 1 1 1 |
# 1640 1 1 1 |
# 1641 1 1 1 |
# 1642 5 5 1 |
# 1644 234 193 1 |
# 1647 6 5 1 |
# 1648 12 12 1 |
# 1651 1 1 1 |
# 1654 1 1 1 |
# 1658 5 5 1 |
# 1659 1 1 1 |
# 1660 4 4 1 |
# 1663 1 1 1 |
# 1664 1 1 1 |
# 1665 2 2 2 |
# 1666 3 3 1 |
# 1667 8 8 2 |
# 1668 2 2 1 |
# 1670 27 25 2 |
# 1673 22 20 3 |
# 1674 144 128 1 |
# 1675 68 63 2 |
# 1676 17 16 2 |
# 1677 21 19 3 |
# 1678 19 19 3 |
# 1679 3 3 1 |
# 1680 21 19 3 |
# 1681 11 11 3 |
# 1682 123 113 5 |
# 1683 93 85 6 |
# 1684 24 22 4 |
# 1685 82 75 5 |
# 1686 34 33 6 |
# 1687 3 3 3 |
# 1688 16 16 5 |
# 1689 14 13 3 |
# 1693 11 11 3 |
# 1694 39 37 5 |
# 1695 11 11 2 |
# 1697 16 15 1 |
# 1698 52 47 5 |
# 1699 29 27 9 |
# 1700 43 38 6 |
# 1701 156 151 13 |
# 1702 38 36 13 |
# 1703 101 96 13 |
# 1704 38 30 12 |
# 1705 99 86 14 |
# 1706 36 36 8 |
# 1707 45 42 9 |
# 1708 35 34 10 |
# 1709 23 22 8 |
# 1710 66 66 13 |
# 1711 55 51 14 |
# 1712 20 20 6 |
# 1713 47 46 14 |
# 1714 54 53 18 |
# 1715 62 58 12 |
# 1716 33 31 14 |
# 1717 40 40 17 |
# 1718 88 80 20 |
# 1719 55 52 19 |
# 1720 145 129 27 |
# 1721 54 52 20 |
# 1722 69 65 21 |
# 1723 58 57 16 |
# 1724 50 49 17 |
# 1725 70 66 24 |
# 1726 66 64 31 |
# 1727 134 120 33 |
# 1728 90 86 36 |
# 1729 76 73 34 |
# 1730 146 132 38 |
# 1731 169 157 29 |
# 1732 58 58 27 |
# 1733 37 31 20 |
# 1734 69 62 30 |
# 1735 63 59 25 |
# 1736 43 41 21 |
# 1737 112 76 17 |
# 1738 83 76 29 |
# 1739 294 281 54 |
# 1740 60 58 25 |
# 1741 32 32 19 |
# 1742 154 137 26 |
# 1743 110 104 36 |
# 1744 71 69 36 |
# 1745 79 75 39 |
# 1746 25 25 17 |
# 1747 488 467 59 |
# 1748 61 59 26 |
# 1749 162 155 48 |
# 1750 114 104 38 |
# 1751 134 130 43 |
# 1752 52 51 27 |
# 1753 111 109 56 |
End of preview.