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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 ({'accuracy', 'n', 'stderr', 'config', 'unparsed', 'correct'}) and 5 missing columns ({'test_cohen_d', 'test_auroc', 'row', 'zero_at', 'cos_with_orca_direction'}).

This happened while the csv dataset builder was generating data using

hf://datasets/AtomicChat/Ternary-Bonsai-2-27B-Abliterate-LoRA-GGUF-metrics/mmlu.csv (at revision d5cd9dad12d6426319be5c4a202da1aca13926e2), ['hf://datasets/AtomicChat/Ternary-Bonsai-2-27B-Abliterate-LoRA-GGUF-metrics@d5cd9dad12d6426319be5c4a202da1aca13926e2/direction_rows.csv', 'hf://datasets/AtomicChat/Ternary-Bonsai-2-27B-Abliterate-LoRA-GGUF-metrics@d5cd9dad12d6426319be5c4a202da1aca13926e2/mmlu.csv', 'hf://datasets/AtomicChat/Ternary-Bonsai-2-27B-Abliterate-LoRA-GGUF-metrics@d5cd9dad12d6426319be5c4a202da1aca13926e2/mmlu_by_subject.csv', 'hf://datasets/AtomicChat/Ternary-Bonsai-2-27B-Abliterate-LoRA-GGUF-metrics@d5cd9dad12d6426319be5c4a202da1aca13926e2/refusal_sweep.csv', 'hf://datasets/AtomicChat/Ternary-Bonsai-2-27B-Abliterate-LoRA-GGUF-metrics@d5cd9dad12d6426319be5c4a202da1aca13926e2/runtime_leak.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/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              config: string
              n: int64
              correct: int64
              accuracy: double
              stderr: double
              unparsed: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 942
              to
              {'row': Value('int64'), 'cos_with_orca_direction': Value('float64'), 'test_auroc': Value('float64'), 'test_cohen_d': Value('float64'), 'zero_at': 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 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 1694, 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 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 ({'accuracy', 'n', 'stderr', 'config', 'unparsed', 'correct'}) and 5 missing columns ({'test_cohen_d', 'test_auroc', 'row', 'zero_at', 'cos_with_orca_direction'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/AtomicChat/Ternary-Bonsai-2-27B-Abliterate-LoRA-GGUF-metrics/mmlu.csv (at revision d5cd9dad12d6426319be5c4a202da1aca13926e2), ['hf://datasets/AtomicChat/Ternary-Bonsai-2-27B-Abliterate-LoRA-GGUF-metrics@d5cd9dad12d6426319be5c4a202da1aca13926e2/direction_rows.csv', 'hf://datasets/AtomicChat/Ternary-Bonsai-2-27B-Abliterate-LoRA-GGUF-metrics@d5cd9dad12d6426319be5c4a202da1aca13926e2/mmlu.csv', 'hf://datasets/AtomicChat/Ternary-Bonsai-2-27B-Abliterate-LoRA-GGUF-metrics@d5cd9dad12d6426319be5c4a202da1aca13926e2/mmlu_by_subject.csv', 'hf://datasets/AtomicChat/Ternary-Bonsai-2-27B-Abliterate-LoRA-GGUF-metrics@d5cd9dad12d6426319be5c4a202da1aca13926e2/refusal_sweep.csv', 'hf://datasets/AtomicChat/Ternary-Bonsai-2-27B-Abliterate-LoRA-GGUF-metrics@d5cd9dad12d6426319be5c4a202da1aca13926e2/runtime_leak.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)

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.

row
int64
cos_with_orca_direction
float64
test_auroc
float64
test_cohen_d
float64
zero_at
float64
0
0
0.5
0
0
1
0.0401
0.9703
2.728
0.0376
2
0.0471
0.979
2.879
0.0199
3
0.0647
0.9642
2.455
-0.0087
4
0.0881
0.9843
2.602
-0.0243
5
0.0824
0.9909
2.736
-0.0188
6
0.0776
0.992
2.791
-0.0204
7
0.0858
0.9924
2.86
-0.02
8
0.11
0.9907
2.911
-0.0275
9
0.1111
0.9875
2.815
-0.0343
10
0.1326
0.984
2.756
-0.0276
11
0.1486
0.9915
3.099
-0.0254
12
0.1739
0.9926
3.359
-0.0273
13
0.1693
0.9894
3.093
-0.029
14
0.1789
0.9958
3.425
-0.0252
15
0.1794
0.9975
3.464
-0.0253
16
0.1735
0.9975
3.659
-0.0273
17
0.2259
0.9991
4.404
-0.0196
18
0.3028
0.9999
5.634
-0.0028
19
0.3285
0.9999
5.719
-0.001
20
0.3492
0.9999
5.978
-0.002
21
0.3611
0.9999
6.01
-0.0056
22
0.3801
0.9995
5.885
-0.009
23
0.3789
0.9995
5.863
-0.0102
24
0.3921
0.9996
5.938
-0.0123
25
0.4224
0.9995
6.007
-0.0099
26
0.4414
0.9992
5.845
-0.0073
27
0.4416
0.9988
5.795
-0.0049
28
0.4713
0.9989
6.436
-0.0062
29
0.4705
0.9987
6.796
-0.0017
30
0.4635
0.9993
7.37
0.001
31
0.4672
0.9993
7.617
0.0029
32
0.4505
0.9992
7.782
0.0029
33
0.4508
0.9992
8.019
0.0024
34
0.5098
0.9992
8.93
0.0018
35
0.5373
0.9994
9.423
0.0008
36
0.5955
0.9993
9.672
-0.001
37
0.6652
0.999
9.32
-0.0013
38
0.6992
0.9988
9.24
-0.0028
39
0.6675
0.9989
9.181
-0.002
40
0.6442
0.9994
9.119
-0.0012
41
0.6223
0.9994
9.053
-0.0003
42
0.6109
0.9994
9.153
0
43
0.5935
0.9994
9.209
0.0009
44
0.5715
0.9993
9.158
0.003
45
0.5489
0.9993
9.293
0.0053
46
0.5236
0.9994
9.485
0.0052
47
0.4977
0.9993
9.543
0.0065
48
0.4784
0.9994
9.704
0.006
49
0.4689
0.9994
9.668
0.0087
50
0.4558
0.9994
9.926
0.0083
51
0.4445
0.9994
10.024
0.0083
52
0.444
0.9994
10.165
0.0076
53
0.4166
0.9995
10.314
0.0073
54
0.3931
0.9994
10.338
0.0063
55
0.3479
0.9995
10.343
0.0073
56
0.3358
0.9994
10.327
0.0054
57
0.312
0.9994
10.347
0.0059
58
0.2966
0.9994
10.412
0.0053
59
0.2942
0.9994
10.381
0.0043
60
0.2772
0.9994
10.443
0.0041
61
0.272
0.9994
10.58
0.0035
62
0.2629
0.9994
10.513
0.0034
63
0.2531
0.9994
10.428
0.0029
64
0.246
0.9992
9.368
0.0019
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End of preview.