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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 15 new columns ({'question_id', 'question', 'split', 'backbone', 'atom_count', 'image_path', 'skill', 'expected_answer', 'prompt_id', 'human_label', 'annotation_id', 'image_complete', 'prompt', 'notes', 'human_uncertain'}) and 1 missing columns ({'rank'}).

This happened while the csv dataset builder was generating data using

hf://datasets/LawrenceYin/crisp-atom-audit-responses/responses.csv (at revision 881c448f823cbd6f5837c8c11f63e0a1840589ae), [/tmp/hf-datasets-cache/medium/datasets/90832860425041-config-parquet-and-info-LawrenceYin-crisp-atom-au-662bd6da/hub/datasets--LawrenceYin--crisp-atom-audit-responses/snapshots/881c448f823cbd6f5837c8c11f63e0a1840589ae/assignments.csv (origin=hf://datasets/LawrenceYin/crisp-atom-audit-responses@881c448f823cbd6f5837c8c11f63e0a1840589ae/assignments.csv), /tmp/hf-datasets-cache/medium/datasets/90832860425041-config-parquet-and-info-LawrenceYin-crisp-atom-au-662bd6da/hub/datasets--LawrenceYin--crisp-atom-audit-responses/snapshots/881c448f823cbd6f5837c8c11f63e0a1840589ae/responses.csv (origin=hf://datasets/LawrenceYin/crisp-atom-audit-responses@881c448f823cbd6f5837c8c11f63e0a1840589ae/responses.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 1800, 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 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              annotator: string
              image_id: string
              annotation_id: string
              prompt_id: string
              backbone: string
              split: string
              atom_count: int64
              prompt: string
              image_path: string
              question_id: string
              question: string
              expected_answer: string
              skill: string
              human_label: string
              human_uncertain: bool
              image_complete: bool
              notes: double
              timestamp: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2389
              to
              {'annotator': Value('string'), 'image_id': Value('string'), 'rank': Value('int64'), 'timestamp': 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 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, 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 1802, 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 15 new columns ({'question_id', 'question', 'split', 'backbone', 'atom_count', 'image_path', 'skill', 'expected_answer', 'prompt_id', 'human_label', 'annotation_id', 'image_complete', 'prompt', 'notes', 'human_uncertain'}) and 1 missing columns ({'rank'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/LawrenceYin/crisp-atom-audit-responses/responses.csv (at revision 881c448f823cbd6f5837c8c11f63e0a1840589ae), [/tmp/hf-datasets-cache/medium/datasets/90832860425041-config-parquet-and-info-LawrenceYin-crisp-atom-au-662bd6da/hub/datasets--LawrenceYin--crisp-atom-audit-responses/snapshots/881c448f823cbd6f5837c8c11f63e0a1840589ae/assignments.csv (origin=hf://datasets/LawrenceYin/crisp-atom-audit-responses@881c448f823cbd6f5837c8c11f63e0a1840589ae/assignments.csv), /tmp/hf-datasets-cache/medium/datasets/90832860425041-config-parquet-and-info-LawrenceYin-crisp-atom-au-662bd6da/hub/datasets--LawrenceYin--crisp-atom-audit-responses/snapshots/881c448f823cbd6f5837c8c11f63e0a1840589ae/responses.csv (origin=hf://datasets/LawrenceYin/crisp-atom-audit-responses@881c448f823cbd6f5837c8c11f63e0a1840589ae/responses.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)

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annotator
string
image_id
string
rank
int64
timestamp
int64
B
sd3_medium__g2_0022__s0
0
1,778,852,662
B
flux_dev__g2_0718__s0
1
1,778,852,662
B
sdxl__g2_0006__s0
2
1,778,852,662
B
flux_dev__g2_0310__s0
3
1,778,852,662
B
sdxl__g2_0717__s0
4
1,778,852,662
B
flux_dev__g2_0722__s0
5
1,778,852,662
B
sd3_medium__g2_0502__s0
6
1,778,852,662
B
sd3_medium__g2_0422__s0
7
1,778,852,662
B
flux_dev__g2_0620__s0
8
1,778,852,662
B
sdxl__g2_0112__s0
9
1,778,852,662
B
flux_dev__g2_0711__s0
10
1,778,852,662
B
sd3_medium__g2_0712__s0
11
1,778,852,662
B
sd3_medium__g2_0607__s0
12
1,778,852,662
B
sdxl__g2_0219__s0
13
1,778,852,662
B
sd3_medium__g2_0415__s0
14
1,778,852,662
B
flux_dev__g2_0604__s0
15
1,778,852,662
B
sdxl__g2_0423__s0
16
1,778,852,662
B
flux_dev__g2_0606__s0
17
1,778,852,662
B
flux_dev__g2_0605__s0
18
1,778,852,662
B
flux_dev__g2_0021__s0
19
1,778,852,662
B
flux_dev__g2_0624__s0
20
1,778,852,662
B
sd3_medium__g2_0006__s0
21
1,778,852,662
B
flux_dev__g2_0700__s0
22
1,778,852,662
B
flux_dev__g2_0213__s0
23
1,778,852,662
B
sd3_medium__g2_0624__s0
24
1,778,852,662
B
flux_dev__g2_0022__s0
25
1,778,852,662
B
flux_dev__g2_0515__s0
26
1,778,852,662
B
sd3_medium__g2_0012__s0
27
1,778,852,662
B
sd3_medium__g2_0023__s0
28
1,778,852,662
B
sdxl__g2_0101__s0
29
1,778,852,662
B
flux_dev__g2_0707__s0
30
1,778,852,662
B
flux_dev__g2_0501__s0
31
1,778,852,662
B
sd3_medium__g2_0209__s0
32
1,778,852,662
B
flux_dev__g2_0119__s0
33
1,778,852,662
B
sdxl__g2_0604__s0
34
1,778,852,662
B
sdxl__g2_0624__s0
35
1,778,852,662
B
sdxl__g2_0408__s0
36
1,778,852,662
B
sd3_medium__g2_0005__s0
37
1,778,852,662
B
flux_dev__g2_0617__s0
38
1,778,852,662
B
flux_dev__g2_0504__s0
39
1,778,852,662
B
sd3_medium__g2_0310__s0
40
1,778,852,662
B
sd3_medium__g2_0317__s0
41
1,778,852,662
B
flux_dev__g2_0205__s0
42
1,778,852,662
B
flux_dev__g2_0513__s0
43
1,778,852,662
B
sd3_medium__g2_0418__s0
44
1,778,852,662
B
flux_dev__g2_0403__s0
45
1,778,852,662
B
sdxl__g2_0207__s0
46
1,778,852,662
B
sdxl__g2_0324__s0
47
1,778,852,662
B
flux_dev__g2_0011__s0
48
1,778,852,662
B
flux_dev__g2_0103__s0
49
1,778,852,662
B
sd3_medium__g2_0303__s0
50
1,778,852,662
B
flux_dev__g2_0120__s0
51
1,778,852,662
B
sd3_medium__g2_0419__s0
52
1,778,852,662
B
flux_dev__g2_0114__s0
53
1,778,852,662
B
sd3_medium__g2_0406__s0
54
1,778,852,662
B
sd3_medium__g2_0408__s0
55
1,778,852,662
B
sd3_medium__g2_0515__s0
56
1,778,852,662
B
flux_dev__g2_0417__s0
57
1,778,852,662
B
sd3_medium__g2_0208__s0
58
1,778,852,662
B
sd3_medium__g2_0516__s0
59
1,778,852,662
nort
sd3_medium__g2_0119__s0
0
1,778,852,702
nort
sd3_medium__g2_0214__s0
1
1,778,852,702
nort
sd3_medium__g2_0700__s0
2
1,778,852,702
nort
sd3_medium__g2_0224__s0
3
1,778,852,702
nort
sdxl__g2_0015__s0
4
1,778,852,702
nort
flux_dev__g2_0408__s0
5
1,778,852,702
nort
sd3_medium__g2_0322__s0
6
1,778,852,702
nort
sdxl__g2_0515__s0
7
1,778,852,702
nort
sd3_medium__g2_0521__s0
8
1,778,852,702
nort
sd3_medium__g2_0623__s0
9
1,778,852,702
nort
flux_dev__g2_0222__s0
10
1,778,852,702
nort
flux_dev__g2_0518__s0
11
1,778,852,702
nort
sdxl__g2_0117__s0
12
1,778,852,702
nort
flux_dev__g2_0200__s0
13
1,778,852,702
nort
sd3_medium__g2_0112__s0
14
1,778,852,702
nort
sd3_medium__g2_0102__s0
15
1,778,852,702
nort
sd3_medium__g2_0702__s0
16
1,778,852,702
nort
flux_dev__g2_0319__s0
17
1,778,852,702
nort
flux_dev__g2_0101__s0
18
1,778,852,702
nort
flux_dev__g2_0715__s0
19
1,778,852,702
nort
flux_dev__g2_0519__s0
20
1,778,852,702
nort
flux_dev__g2_0307__s0
21
1,778,852,702
nort
sd3_medium__g2_0319__s0
22
1,778,852,702
nort
flux_dev__g2_0006__s0
23
1,778,852,702
nort
sdxl__g2_0513__s0
24
1,778,852,702
nort
sdxl__g2_0005__s0
25
1,778,852,702
nort
sd3_medium__g2_0612__s0
26
1,778,852,702
nort
flux_dev__g2_0424__s0
27
1,778,852,702
nort
sd3_medium__g2_0116__s0
28
1,778,852,702
nort
sd3_medium__g2_0207__s0
29
1,778,852,702
nort
flux_dev__g2_0210__s0
30
1,778,852,702
nort
flux_dev__g2_0214__s0
31
1,778,852,702
nort
flux_dev__g2_0720__s0
32
1,778,852,702
nort
flux_dev__g2_0013__s0
33
1,778,852,702
nort
flux_dev__g2_0516__s0
34
1,778,852,702
nort
flux_dev__g2_0717__s0
35
1,778,852,702
nort
sdxl__g2_0623__s0
36
1,778,852,702
nort
flux_dev__g2_0714__s0
37
1,778,852,702
nort
flux_dev__g2_0005__s0
38
1,778,852,702
nort
sd3_medium__g2_0703__s0
39
1,778,852,702
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