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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
n_rows_image_only: int64
n_rows_with_context: int64
n_common_rows: int64
n_paired_successful_with_anchors: int64
correctness_source: string
image_only_labels_changed_from_stored_proxy: int64
with_context_labels_changed_from_stored_proxy: int64
corrected_by_context: int64
harmed_by_context: int64
corrected_row_ids: list<item: int64>
harmed_row_ids: list<item: null>
changed_cases: list<item: struct<row_index: int64, transition: string, question: string, gold: string, image_only_prediction: string, with_context_prediction: string, retrieval_file: string, retrieved_context: string>>
metrics: struct<correctness_rate: struct<image_only_mean: double, with_context_mean: double, paired_context_minus_image: double, bootstrap_95ci_paired_difference: list<item: double>>, abs_top_minus_random: struct<image_only_mean: double, with_context_mean: double, paired_context_minus_image: double, bootstrap_95ci_paired_difference: list<item: double>>, abs_top_minus_bottom: struct<image_only_mean: double, with_context_mean: double, paired_context_minus_image: double, bootstrap_95ci_paired_difference: list<item: double>>, signed_top_utility: struct<image_only_mean: double, with_context_mean: double, paired_context_minus_image: double, bootstrap_95ci_paired_difference: list<item: double>>, raw_top_support_rate: struct<image_only_mean: double, with_context_mean: double, paired_context_minus_image: double, bootstrap_95ci_paired_difference: list<item: double>>>
notes: list<item: string>
vs
requested: int64
completed_or_skipped: int64
failed: int64
updated_unix: double
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 764, in write_table
                  self.write_rows_on_file()  # in case there are buffered rows to write first
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 662, in write_rows_on_file
                  table = pa.concat_tables(self.current_rows)
                File "pyarrow/table.pxi", line 6320, in pyarrow.lib.concat_tables
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              n_rows_image_only: int64
              n_rows_with_context: int64
              n_common_rows: int64
              n_paired_successful_with_anchors: int64
              correctness_source: string
              image_only_labels_changed_from_stored_proxy: int64
              with_context_labels_changed_from_stored_proxy: int64
              corrected_by_context: int64
              harmed_by_context: int64
              corrected_row_ids: list<item: int64>
              harmed_row_ids: list<item: null>
              changed_cases: list<item: struct<row_index: int64, transition: string, question: string, gold: string, image_only_prediction: string, with_context_prediction: string, retrieval_file: string, retrieved_context: string>>
              metrics: struct<correctness_rate: struct<image_only_mean: double, with_context_mean: double, paired_context_minus_image: double, bootstrap_95ci_paired_difference: list<item: double>>, abs_top_minus_random: struct<image_only_mean: double, with_context_mean: double, paired_context_minus_image: double, bootstrap_95ci_paired_difference: list<item: double>>, abs_top_minus_bottom: struct<image_only_mean: double, with_context_mean: double, paired_context_minus_image: double, bootstrap_95ci_paired_difference: list<item: double>>, signed_top_utility: struct<image_only_mean: double, with_context_mean: double, paired_context_minus_image: double, bootstrap_95ci_paired_difference: list<item: double>>, raw_top_support_rate: struct<image_only_mean: double, with_context_mean: double, paired_context_minus_image: double, bootstrap_95ci_paired_difference: list<item: double>>>
              notes: list<item: string>
              vs
              requested: int64
              completed_or_skipped: int64
              failed: int64
              updated_unix: double
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 662, in write_rows_on_file
                  table = pa.concat_tables(self.current_rows)
                File "pyarrow/table.pxi", line 6320, in pyarrow.lib.concat_tables
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              n_rows_image_only: int64
              n_rows_with_context: int64
              n_common_rows: int64
              n_paired_successful_with_anchors: int64
              correctness_source: string
              image_only_labels_changed_from_stored_proxy: int64
              with_context_labels_changed_from_stored_proxy: int64
              corrected_by_context: int64
              harmed_by_context: int64
              corrected_row_ids: list<item: int64>
              harmed_row_ids: list<item: null>
              changed_cases: list<item: struct<row_index: int64, transition: string, question: string, gold: string, image_only_prediction: string, with_context_prediction: string, retrieval_file: string, retrieved_context: string>>
              metrics: struct<correctness_rate: struct<image_only_mean: double, with_context_mean: double, paired_context_minus_image: double, bootstrap_95ci_paired_difference: list<item: double>>, abs_top_minus_random: struct<image_only_mean: double, with_context_mean: double, paired_context_minus_image: double, bootstrap_95ci_paired_difference: list<item: double>>, abs_top_minus_bottom: struct<image_only_mean: double, with_context_mean: double, paired_context_minus_image: double, bootstrap_95ci_paired_difference: list<item: double>>, signed_top_utility: struct<image_only_mean: double, with_context_mean: double, paired_context_minus_image: double, bootstrap_95ci_paired_difference: list<item: double>>, raw_top_support_rate: struct<image_only_mean: double, with_context_mean: double, paired_context_minus_image: double, bootstrap_95ci_paired_difference: list<item: double>>>
              notes: list<item: string>
              vs
              requested: int64
              completed_or_skipped: int64
              failed: int64
              updated_unix: double
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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row_index
int64
image_path
string
has_retrieved_context
bool
context_chars
int64
133,101,204
1331012.jpg
true
194
93,300,201
933002.jpg
true
420
390,103,703
3901037.jpg
true
92
388,101,102
3881011.jpg
true
118
154,104,701
1541047.jpg
true
250
379,201,905
3792019.jpg
true
512
379,104,801
3791048.jpg
true
78
235,102,101
2351021.jpg
true
75
57,101,505
571015.jpg
true
255
209,108,701
2091087.jpg
true
512
210,110,004
2101100.jpg
true
114
5,100,105
51001.jpg
true
316
202,101,105
2021011.jpg
true
217
100,101,105
1001011.jpg
true
71
181,100,401
1811004.jpg
true
270
215,103,501
2151035.jpg
true
157
7,101,202
71012.jpg
true
177
13,102,002
131020.jpg
true
93
80,101,401
801014.jpg
true
53
240,110,006
2401100.jpg
true
16
157,101,501
1571015.jpg
true
179
212,104,101
2121041.jpg
true
172
161,103,004
1611030.jpg
true
73
128,100,401
1281004.jpg
true
145
151,110,402
1511104.jpg
true
188
309,107,501
3091075.jpg
true
43
230,100,401
2301004.jpg
true
111
52,100,703
521007.jpg
true
212
10,206,204
102062.jpg
true
466
161,104,101
1611041.jpg
true
201
158,400,602
1584006.jpg
true
26
254,122,802
2541228.jpg
true
181
9,101,304
91013.jpg
true
127
79,113,405
791134.jpg
true
62
154,139,904
1541399.jpg
true
62
262,100,104
2621001.jpg
true
107
224,100,403
2241004.jpg
true
146
375,100,701
3751007.jpg
true
94
90,101,704
901017.jpg
true
165
409,102,005
4091020.jpg
true
184
202,100,201
2021002.jpg
true
16
392,102,103
3921021.jpg
true
58
206,114,301
2061143.jpg
true
346
249,104,201
2491042.jpg
true
512
209,103,905
2091039.jpg
true
151
5,100,104
51001.jpg
true
316
57,101,101
571011.jpg
true
224
187,403,404
1874034.jpg
true
227
174,101,205
1741012.jpg
true
239
196,100,802
1961008.jpg
true
349
61,400,304
614003.jpg
true
395
119,105,506
1191055.jpg
true
256
130,100,602
1301006.jpg
true
79
177,135,402
1771354.jpg
true
24
119,105,403
1191054.jpg
true
87
177,201,304
1772013.jpg
true
176
163,101,003
1631010.jpg
true
262
202,101,704
2021017.jpg
true
127
147,101,003
1471010.jpg
true
212
250,102,601
2501026.jpg
true
142
206,102,703
2061027.jpg
true
197
1,203,605
12036.jpg
true
161
151,103,701
1511037.jpg
true
188
80,101,505
801015.jpg
true
182
111,202,105
1112021.jpg
true
75
185,101,603
1851016.jpg
true
362
375,105,901
3751059.jpg
true
135
207,108,701
2071087.jpg
true
35
119,201,303
1192013.jpg
true
87
13,102,005
131020.jpg
true
512
5,103,003
51030.jpg
true
207
158,500,901
1585009.jpg
true
104
2,111,505
21115.jpg
true
154
13,103,902
131039.jpg
true
115
66,101,101
661011.jpg
true
102
188,100,702
1881007.jpg
true
62
181,200,301
1812003.jpg
true
296
81,110,802
811108.jpg
true
49
250,102,503
2501025.jpg
true
160
151,112,605
1511126.jpg
true
64
309,102,001
3091020.jpg
true
147
234,103,804
2341038.jpg
true
368
168,200,105
1682001.jpg
true
189
98,100,502
981005.jpg
true
128
2,107,801
21078.jpg
true
158
254,112,501
2541125.jpg
true
310
6,101,802
61018.jpg
true
512
75,501,502
755015.jpg
true
39
177,201,401
1772014.jpg
true
313
253,116,702
2531167.jpg
true
495
119,101,704
1191017.jpg
true
302
75,201,002
752010.jpg
true
110
6,102,605
61026.jpg
true
38
206,109,002
2061090.jpg
true
121
66,101,402
661014.jpg
true
68
399,305,104
3993051.jpg
true
143
107,102,704
1071027.jpg
true
243
116,100,204
1161002.jpg
true
89
154,104,504
1541045.jpg
true
425
125,101,104
1251011.jpg
true
300
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