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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 6 new columns ({'txt', 'num_viols', 'line_txt', 'ambig', 'stress', 'score'}) and 3 missing columns ({'complexity', 'rhythm', 'line'}).

This happened while the csv dataset builder was generating data using

hf://datasets/bensglaser/18C_IP_Scanned/ecep_reparsed_full.csv (at revision 229e4e9091dc4f8419c21ab7134c077b9590a905)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              line_txt: string
              txt: string
              meter: string
              stress: string
              score: double
              num_viols: int64
              ambig: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1040
              to
              {'line': Value('string'), 'meter': Value('string'), 'rhythm': Value('string'), 'complexity': 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 1455, 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 1054, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 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 6 new columns ({'txt', 'num_viols', 'line_txt', 'ambig', 'stress', 'score'}) and 3 missing columns ({'complexity', 'rhythm', 'line'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/bensglaser/18C_IP_Scanned/ecep_reparsed_full.csv (at revision 229e4e9091dc4f8419c21ab7134c077b9590a905)
              
              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.

line
string
meter
string
rhythm
string
complexity
float64
NO Ill on Earth we timorous Mortals fly
WSWSWSWWSWS
//x/x/xx/x/
4
With so much Dread, as abject Poverty:
WSWSWSWSWS
xxx/x/x/xx
2
OH despicable Name! We, thee to shun,
SWSWWSWSWS
/x/xx/xxx/
5
On every other Evil blindly run.
WSWSWSWSWS
x/x/x/x/x/
0
In tattered Rags, and starve their Bodies too,
WSWSWSWSWS
x/x/x/x/x/
0
And still are poor, for fear of being so.
WSWSWSWSWS
x/x/x/x/xx
1
For fear of thee, the cheating Trader vows,
WSWSWSWSWS
x/xxx/x/x/
1
His Wares are good, although his Conscience knows,
WSWSWSWSWS
x/x///x/x/
1
He has employed his utmost Skill and Care,
WSWSWSWSWS
x/x/x///x/
1
To hide their Faults, and make their Beauties glare.
WSWSWSWSWS
x/x/x/x/x/
0
The Sailor, terrified with Thoughts of thee,
WSWSWSWSWW
x/x/x/x/xx
1
Boldly attempts the Dangers of the Sea;
SWWSWSWSWS
/xx/x/xxx/
5
From East to West, over Rocks and Quicksands steers;
WSWWSWSWSWS
x/x//x/x///
5
It's Poverty, and that alone, he fears;
WSWSWSWSWS
x/xxx/x/x/
1
In Hopes of Plunder, bravely meets the War;
WSWSWSWSWS
x/x/x/x/x/
0
To fly from Poverty, he runs on Death,
WSWSWSWSWS
x/x/xxx/x/
1
Strange Terror of Mankind! By thee misled,
WSWSWSWSWS
//xx//xxx/
4
Not Conscience, Quicksands, Rocks, or Death they dread!
WSWSWSWSWS
x/x///x/x/
1
And yet thou art no formidable Foe,
WSWSWSWSWS
x/x///xxx/
2
Except to little Souls, who think thee so:
WSWSWSWSWW
x/x/x/x/xx
1
Who through the Glass of Prejudice survey
SWWSWSWSWS
/xx/x/xxx/
3
Thy Face, a thousand frightful Forms display.
WSWSWSWSWS
x/x/x/x/x/
0
THUS Men, at Night, in foolish Fears grown old,
WSWSWSWSWS
//x/x/x///
2
Who mind the Fairy Tales their Nurses told,
WSWSWSWSWS
x/x/x/x/x/
0
Start at a Goblin, which their Fancy made,
SWWSWSWSWS
/xx/x/x/x/
2
And, for a Spectre, often take a Shade.
WSWSWSWSWS
xxx/x/x/x/
1
Free from the Cares unwieldy Riches bring:
SWWSWSWSWS
/xx/x/x/x/
2
At Distance both alike deceive our View;
WSWSWSWSWS
x/x/x/x/x/
0
Nearer approached, they take another Hue.
SWWSWSWSWS
/xx/x/x/x/
4
The poor Man's Labour relishes his Meat;
WSWSWSWSWS
x///x/xxx/
2
His Morsel's pleasant, and his Rest is sweet:
WSWSWSWSWS
x/x/xxx/x/
1
Not so the Rich, who find their wearied Taste
SWWSWSWSWS
/xx/x/x/x/
2
For what they have more than they can enjoy,
WSWWSWWSWS
x/xx/xxxx/
3
Instead of satisfying, does but cloy.
WSWSWSWSWS
x/x/x/x/x/
0
BUT let us state the Case another way:
WSWSWSWSWS
x/x/x/x/x/
0
Were Poverty so hideous as they say,
WSWSWSWSWWS
x/xxx/xxxx/
3
That Man deserves the Praise of human Kind,
WSWSWSWSWS
x/x/x/x/x/
0
Who bears ill Fortune with a Christian Mind:
WSWSWSWSWS
x///xxx/x/
2
How does his great heroic Soul aspire
WSWSWSWSWS
x/x/x/x/x/
0
Above that sordid Wealth the rest admire!
WSWSWSWSWS
x/x/x/x/x/
0
His faithful Eyes survey the GOD of Love
WSWSWSWSWS
x/x/x/x/x/
0
Not all the Snares a crafty Devil can lay,
WSWSWSWSWWS
x/x/x/x/xx/
3
Can intercept, or daunt him in his Way.
WSWSWSWSWS
x/x/x/x/x/
0
Not all the scornful Insults of the Proud,
WSWSWSWSWS
x/x/x//xx/
2
Not Poverty, in all her Terrors dressed,
WSWSWSWSWS
x/xxx/x/x/
1
Can shake the solid Quiet of his Breast:
WSWSWSWSWS
x/x/x/xxx/
1
Unmoved he stands against the worst of Foes,
WSWSWSWSWS
x/x/x/x/x/
0
And mocks the Darts, which adverse Fortune throws,
WSWSWSWSWS
x/x/x///x/
1
Calm and composed, amid or Ease or Pain;
WSWSWSWSWS
/xx/x/x/x/
2
And finds Content, which others seek in vain.
WSWSWSWSWS
x/x/x/x/x/
0
Lashed by the foaming Surge on every Side,
SWWSWSWSWS
/xx/x/x/x/
2
Yet can't be shaken by the furious Tide.
WSWSWSWSWWS
x/x/xxx/xx/
4
Since Wealth can never make the Vicious blessed,
WSWSWSWSWS
x/x/x/x/x/
0
Nor Poverty subdue the virtuous Breast;
WSWSWSWSWWS
x/xxx/x/xx/
4
LORD, give me either; give me but CONTENT.
WSWSWSWWSW
//x/x/xx/x
3
Go, first, sweet hope! to thine own Heaven succeed,
WSWSWSWSWS
////xxx/x/
3
While here thy mother's heart must ever bleed,
WSWSWSWSWS
x/x/x/x/x/
0
Must ever mourn, till that auspicious day
WSWSWSWSWS
x/x/x/x/x/
0
This lonely hour my sorrows reach no ear,
WSWSWSWSWS
x/x/x/x///
1
My angel! thou from thy resplendent throne
WSWSWSWSWS
x/xxxxx/x/
2
O! take this moment, it is all thine own;
WSWSWSWSWS
x/x/xxx/x/
1
Spite of religious aid my wishes rise,
WSWSWSWSWS
/xx/x/x/x/
2
Ah! me! how weak to wish thee from the skies!
SWWSWSWSWS
/xx/x/xxx/
3
Sometime delusion strong I see thee smile,
WSWSWSWSWS
//x/x/x/x/
1
And fancy wandering how remote from truth
WSWSWWSWSWS
x/x/xxxx/x/
4
Surveys thee blooming in the pride of youth;
WSWSWSWSWS
x/x/x/x/x/
0
Reason returns, and says, thou art no more!
SWWSWSWWSW
/xx/x/xx/x
6
Ah! sad remembrance, why exert thy power,
WSWSWSWSWSW
x/x/x/x/x/x
1
Why, why recall the past endearing hour,
WSWSWSWSWS
x/x/x/x/x/
0
And opening beauty every look disclosed?
WSWWSWSWSWS
x/xx/x/x/x/
3
Each happier mother, vain of her delight,
WSWWSWSWSWS
x/xx/x/xxx/
4
Still, still obtrudes her darling on my sight;
WSWSWSWSWS
//x/x/xxx/
2
Then in the harmless smile, the feeble cry,
WSWSWSWSWS
x/x/x/x/x/
0
I hear the voice, I see thy languid eye:
WSWSWSWSWS
x/x/x/x/x/
0
O! still my child, if in thy perfect state,
WSWSWSWSWS
x/x/x/x///
1
Thou hast a knowledge of my suffering fate,
WSWSWSWSWS
x/x/xxx/x/
1
And bring me tidings from the realms of day;
WSWSWSWSWS
x/x/xxx/x/
1
Tell thy sad mother when the hour draws near,
WSWSWSWSWSW
/x//x/x/x/x
4
That we shall meet, nor other parting fear;
SWWSWSWSWS
/xx/x/x/x/
2
And Heaven, still gracious to the mourning kind,
WSWWSWSWSWS
x/x//xxx/x/
5
O! deign to send me peace, a will resigned;
WSWSWSWSWS
x/x/x/xxx/
1
Save me from murmurs at thy high decree,
SWWSWSWSWS
/xx/x/x/x/
2
I see a distant Fleet whose towering Masts
WSWSWSWSWS
x/x/x/x/x/
0
Bold was the Man who felled the leavy Trees
SWWSWSWSWS
/xx/x/x/x/
2
To seek for distant Isles, and Lands unknown;
WSWSWSWSWS
x/x/x/x/x/
0
Content with Sea, and careless of the Shore.
WSWSWSWSWS
x/x/x/xxx/
1
Has told the Customs of those Sons of Earth:
WSWSWSWSWS
x/x/xxx/x/
1
Yet envious think their own too mean a Share:
WSWWSWSWSWS
x/xx/x///x/
4
For foreign Toys they roam to every Shore,
WSWSWSWSWS
x/x/x/x/x/
0
And bring Diseases home unknown before.
WSWSWSWSWS
x/x/x/x/x/
0
And what they scorned before they now commend.
WSWSWSWSWS
x/x/x/x/x/
0
But things their Value raise by being new.
WSWSWSWSWS
x/x/x/x/x/
0
I late unseen saw from a distant Rock
WSWSWSWSWS
x/x//xx/x/
2
Two vast Machines engage in Clouds of Smoke;
WSWSWSWSWS
//x/x/x/x/
1
The Winds were high, and ruffled all the Main:
WSWSWSWSWS
x/x/x/x/x/
0
But when the Fight with louder Noise began,
WSWSWSWSWS
x/x/x/x/x/
0
The Gods afraid with drooping Wings retired;
WSWSWSWSWS
x/x/x/x/x/
0
The Sea grew calm, and all the Sky was fair.
WSWSWSWSWS
x///x/x/x/
1
Oft have I punished that ambitious Wight
SWWSWSWSWS
/xx/x/x/x/
2
Who born on Earth, yet leaves his native Glades,
WSWSWSWSWS
x/x/x/x/x/
0
End of preview.

Full prosodic.py parse of roughly half of the iambic pentameter from the Eighteenth Century Poetry Archive. See https://github.com/cretic/metricalgpt/ for documentation

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