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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 8 new columns ({'layer', 'batch_size', 'probe', 'roc_auc', 'layers_plus', 'adapter_path', 'lr', 'model_name'}) and 9 missing columns ({'md_marginal_roc_auc', 'adapter', 'normalization', 'rde_n_components_256_roc_auc', 'test-acc', 'model', 'md_roc_auc', 'md_relative_roc_auc', 'test-base-max-prob-roc-auc'}).
This happened while the csv dataset builder was generating data using
hf://datasets/zaaabik/adue-data/embeddings/results/probes_full_model_ds_with_lr_hyper/electra_train/attention_probes_rocauc.csv (at revision 3ce3b25f01f7a818f0eb40816059bc7db5e75aa6)
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
model_name: string
dataset: string
seed: int64
train_on_dataset: string
adapter_path: string
probe: string
layer: int64
layers_plus: int64
roc_auc: double
batch_size: int64
lr: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1529
to
{'model': Value('string'), 'adapter': Value('string'), 'dataset': Value('string'), 'train_on_dataset': Value('string'), 'normalization': Value('bool'), 'seed': Value('int64'), 'test-acc': Value('float64'), 'md_roc_auc': Value('float64'), 'md_marginal_roc_auc': Value('float64'), 'md_relative_roc_auc': Value('float64'), 'test-base-max-prob-roc-auc': Value('float64'), 'rde_n_components_256_roc_auc': 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 1450, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 993, in stream_convert_to_parquet
builder._prepare_split(
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 8 new columns ({'layer', 'batch_size', 'probe', 'roc_auc', 'layers_plus', 'adapter_path', 'lr', 'model_name'}) and 9 missing columns ({'md_marginal_roc_auc', 'adapter', 'normalization', 'rde_n_components_256_roc_auc', 'test-acc', 'model', 'md_roc_auc', 'md_relative_roc_auc', 'test-base-max-prob-roc-auc'}).
This happened while the csv dataset builder was generating data using
hf://datasets/zaaabik/adue-data/embeddings/results/probes_full_model_ds_with_lr_hyper/electra_train/attention_probes_rocauc.csv (at revision 3ce3b25f01f7a818f0eb40816059bc7db5e75aa6)
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.
model
string | adapter
string | dataset
string | train_on_dataset
string | normalization
bool | seed
int64 | test-acc
float64 | md_roc_auc
float64 | md_marginal_roc_auc
float64 | md_relative_roc_auc
float64 | test-base-max-prob-roc-auc
float64 | rde_n_components_256_roc_auc
float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/CoLa/0/
|
full_trained
|
cola
|
train
| true
| 0
| 0.854267
| 0.812275
| 0.812371
| 0.654705
| 0.785431
| 0.74777
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/CoLa/1/
|
full_trained
|
cola
|
train
| true
| 1
| 0.837967
| 0.829404
| 0.829459
| 0.668551
| 0.786285
| 0.760991
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/CoLa/2/
|
full_trained
|
cola
|
train
| true
| 2
| 0.837967
| 0.809818
| 0.809886
| 0.650407
| 0.806325
| 0.763882
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/CoLa/3/
|
full_trained
|
cola
|
train
| true
| 3
| 0.846596
| 0.808855
| 0.80894
| 0.615381
| 0.791064
| 0.661467
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/CoLa/4/
|
full_trained
|
cola
|
train
| true
| 4
| 0.840844
| 0.799858
| 0.7999
| 0.629906
| 0.817388
| 0.802029
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/NewsGroups/0/
|
full_trained
|
20newsgroups
|
train
| true
| 0
| 0.781333
| 0.805379
| 0.803189
| 0.821503
| 0.838859
| 0.589965
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/NewsGroups/1/
|
full_trained
|
20newsgroups
|
train
| true
| 1
| 0.774695
| 0.813823
| 0.811212
| 0.829925
| 0.851305
| 0.80696
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/NewsGroups/2/
|
full_trained
|
20newsgroups
|
train
| true
| 2
| 0.77496
| 0.81659
| 0.813705
| 0.842163
| 0.863255
| 0.720671
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/NewsGroups/3/
|
full_trained
|
20newsgroups
|
train
| true
| 3
| 0.775358
| 0.812193
| 0.808951
| 0.842973
| 0.857043
| 0.72761
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/NewsGroups/4/
|
full_trained
|
20newsgroups
|
train
| true
| 4
| 0.779209
| 0.803323
| 0.800726
| 0.822507
| 0.839157
| 0.744106
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/SST2/0/
|
full_trained
|
SST2
|
train
| true
| 0
| 0.946101
| 0.878014
| 0.877911
| 0.73372
| 0.856273
| 0.536789
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/SST2/1/
|
full_trained
|
SST2
|
train
| true
| 1
| 0.927752
| 0.885691
| 0.885593
| 0.825103
| 0.91105
| 0.89505
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/SST2/2/
|
full_trained
|
SST2
|
train
| true
| 2
| 0.941514
| 0.884932
| 0.884837
| 0.813714
| 0.880323
| 0.895966
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/SST2/3/
|
full_trained
|
SST2
|
train
| true
| 3
| 0.938073
| 0.863715
| 0.863556
| 0.798266
| 0.886908
| 0.524835
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/SST2/4/
|
full_trained
|
SST2
|
train
| true
| 4
| 0.938073
| 0.885855
| 0.885787
| 0.822195
| 0.887168
| 0.853957
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/SST5/0/
|
full_trained
|
SST5
|
train
| true
| 0
| 0.537557
| 0.55461
| 0.554259
| 0.574816
| 0.596026
| 0.570954
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/SST5/1/
|
full_trained
|
SST5
|
train
| true
| 1
| 0.541176
| 0.568111
| 0.566467
| 0.567012
| 0.570262
| 0.558323
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/SST5/2/
|
full_trained
|
SST5
|
train
| true
| 2
| 0.547059
| 0.542228
| 0.541154
| 0.586123
| 0.576962
| 0.541337
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/SST5/3/
|
full_trained
|
SST5
|
train
| true
| 3
| 0.556109
| 0.562587
| 0.562622
| 0.541318
| 0.554978
| 0.558272
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/SST5/4/
|
full_trained
|
SST5
|
train
| true
| 4
| 0.555204
| 0.530057
| 0.529753
| 0.55943
| 0.611673
| 0.550142
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/ToxigenDataset/0/
|
full_trained
|
toxigen
|
train
| true
| 0
| 0.82234
| 0.732871
| 0.732855
| 0.610306
| 0.707795
| 0.726201
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/ToxigenDataset/1/
|
full_trained
|
toxigen
|
train
| true
| 1
| 0.811702
| 0.729073
| 0.729043
| 0.646985
| 0.745933
| 0.727873
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/ToxigenDataset/2/
|
full_trained
|
toxigen
|
train
| true
| 2
| 0.807447
| 0.730941
| 0.730956
| 0.638831
| 0.7539
| 0.741642
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/ToxigenDataset/3/
|
full_trained
|
toxigen
|
train
| true
| 3
| 0.820213
| 0.709015
| 0.709031
| 0.616114
| 0.711072
| 0.713022
|
/workspace/AdUE/data/full-fine-tune-models/electra_runs_seeds/ToxigenDataset/4/
|
full_trained
|
toxigen
|
train
| true
| 4
| 0.814894
| 0.763745
| 0.763693
| 0.672271
| 0.73355
| 0.548198
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/CoLa/0/
|
full_trained
|
cola
|
train
| true
| 0
| 0.837009
| 0.77425
| 0.77419
| 0.644293
| 0.758635
| 0.690098
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/CoLa/1/
|
full_trained
|
cola
|
train
| true
| 1
| 0.819751
| 0.694616
| 0.693981
| 0.656212
| 0.793701
| 0.597838
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/CoLa/2/
|
full_trained
|
cola
|
train
| true
| 2
| 0.834132
| 0.775852
| 0.775932
| 0.656618
| 0.775972
| 0.722354
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/CoLa/3/
|
full_trained
|
cola
|
train
| true
| 3
| 0.814957
| 0.76769
| 0.767708
| 0.630165
| 0.787662
| 0.704928
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/CoLa/4/
|
full_trained
|
cola
|
train
| true
| 4
| 0.831256
| 0.784396
| 0.784487
| 0.675248
| 0.774097
| 0.775299
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/NewsGroups/0/
|
full_trained
|
20newsgroups
|
train
| true
| 0
| 0.780536
| 0.835093
| 0.833712
| 0.845068
| 0.840224
| 0.744635
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/NewsGroups/1/
|
full_trained
|
20newsgroups
|
train
| true
| 1
| 0.767127
| 0.835709
| 0.834072
| 0.853671
| 0.844058
| 0.786357
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/NewsGroups/2/
|
full_trained
|
20newsgroups
|
train
| true
| 2
| 0.783192
| 0.83055
| 0.829496
| 0.829593
| 0.835282
| 0.779231
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/NewsGroups/3/
|
full_trained
|
20newsgroups
|
train
| true
| 3
| 0.774695
| 0.847934
| 0.846287
| 0.853315
| 0.851741
| 0.752248
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/NewsGroups/4/
|
full_trained
|
20newsgroups
|
train
| true
| 4
| 0.774562
| 0.847713
| 0.845561
| 0.867223
| 0.85784
| 0.823965
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/SST2/0/
|
full_trained
|
SST2
|
train
| true
| 0
| 0.93578
| 0.84445
| 0.844297
| 0.72735
| 0.804469
| 0.843466
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/SST2/1/
|
full_trained
|
SST2
|
train
| true
| 1
| 0.949541
| 0.818703
| 0.818566
| 0.697354
| 0.78383
| 0.50936
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/SST2/2/
|
full_trained
|
SST2
|
train
| true
| 2
| 0.940367
| 0.852392
| 0.852017
| 0.742706
| 0.853881
| 0.852134
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/SST2/3/
|
full_trained
|
SST2
|
train
| true
| 3
| 0.940367
| 0.847444
| 0.84728
| 0.776032
| 0.811796
| 0.838977
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/SST2/4/
|
full_trained
|
SST2
|
train
| true
| 4
| 0.938073
| 0.852101
| 0.852124
| 0.708503
| 0.816479
| 0.802047
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/SST5/0/
|
full_trained
|
SST5
|
train
| true
| 0
| 0.557014
| 0.560071
| 0.559771
| 0.578378
| 0.606056
| 0.571088
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/SST5/1/
|
full_trained
|
SST5
|
train
| true
| 1
| 0.562443
| 0.557247
| 0.556899
| 0.574313
| 0.590879
| 0.562146
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/SST5/2/
|
full_trained
|
SST5
|
train
| true
| 2
| 0.547511
| 0.551003
| 0.550707
| 0.566143
| 0.626176
| 0.552359
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/SST5/3/
|
full_trained
|
SST5
|
train
| true
| 3
| 0.553846
| 0.587303
| 0.586744
| 0.587372
| 0.587137
| 0.586259
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/SST5/4/
|
full_trained
|
SST5
|
train
| true
| 4
| 0.540724
| 0.604227
| 0.603938
| 0.571014
| 0.590152
| 0.603091
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/ToxigenDataset/0/
|
full_trained
|
toxigen
|
train
| true
| 0
| 0.804255
| 0.758519
| 0.758555
| 0.674848
| 0.736675
| 0.594419
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/ToxigenDataset/1/
|
full_trained
|
toxigen
|
train
| true
| 1
| 0.8
| 0.617976
| 0.617516
| 0.627893
| 0.700264
| 0.586726
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/ToxigenDataset/2/
|
full_trained
|
toxigen
|
train
| true
| 2
| 0.794681
| 0.589266
| 0.588912
| 0.639338
| 0.704625
| 0.562485
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/ToxigenDataset/3/
|
full_trained
|
toxigen
|
train
| true
| 3
| 0.817021
| 0.717153
| 0.717009
| 0.643865
| 0.754183
| 0.733792
|
/workspace/AdUE/data/full-fine-tune-models/roberta_runs_seeds/ToxigenDataset/4/
|
full_trained
|
toxigen
|
train
| true
| 4
| 0.823404
| 0.747541
| 0.747533
| 0.648088
| 0.727503
| 0.745634
|
null | null |
cola
|
train
| null | 0
| null | null | null | null | null | null |
null | null |
cola
|
train
| null | 0
| null | null | null | null | null | null |
null | null |
cola
|
train
| null | 0
| null | null | null | null | null | null |
null | null |
cola
|
train
| null | 0
| null | null | null | null | null | null |
null | null |
cola
|
train
| null | 1
| null | null | null | null | null | null |
null | null |
cola
|
train
| null | 1
| null | null | null | null | null | null |
null | null |
cola
|
train
| null | 1
| null | null | null | null | null | null |
null | null |
cola
|
train
| null | 1
| null | null | null | null | null | null |
null | null |
cola
|
train
| null | 2
| null | null | null | null | null | null |
null | null |
cola
|
train
| null | 2
| null | null | null | null | null | null |
null | null |
cola
|
train
| null | 2
| null | null | null | null | null | null |
null | null |
cola
|
train
| null | 2
| null | null | null | null | null | null |
null | null |
cola
|
train
| null | 3
| null | null | null | null | null | null |
null | null |
cola
|
train
| null | 3
| null | null | null | null | null | null |
null | null |
cola
|
train
| null | 3
| null | null | null | null | null | null |
null | null |
cola
|
train
| null | 3
| null | null | null | null | null | null |
null | null |
cola
|
train
| null | 4
| null | null | null | null | null | null |
null | null |
cola
|
train
| null | 4
| null | null | null | null | null | null |
null | null |
cola
|
train
| null | 4
| null | null | null | null | null | null |
null | null |
cola
|
train
| null | 4
| null | null | null | null | null | null |
null | null |
SST5
|
train
| null | 0
| null | null | null | null | null | null |
null | null |
SST5
|
train
| null | 0
| null | null | null | null | null | null |
null | null |
SST5
|
train
| null | 0
| null | null | null | null | null | null |
null | null |
SST5
|
train
| null | 0
| null | null | null | null | null | null |
null | null |
SST5
|
train
| null | 1
| null | null | null | null | null | null |
null | null |
SST5
|
train
| null | 1
| null | null | null | null | null | null |
null | null |
SST5
|
train
| null | 1
| null | null | null | null | null | null |
null | null |
SST5
|
train
| null | 1
| null | null | null | null | null | null |
null | null |
SST5
|
train
| null | 2
| null | null | null | null | null | null |
null | null |
SST5
|
train
| null | 2
| null | null | null | null | null | null |
null | null |
SST5
|
train
| null | 2
| null | null | null | null | null | null |
null | null |
SST5
|
train
| null | 2
| null | null | null | null | null | null |
null | null |
SST5
|
train
| null | 3
| null | null | null | null | null | null |
null | null |
SST5
|
train
| null | 3
| null | null | null | null | null | null |
null | null |
SST5
|
train
| null | 3
| null | null | null | null | null | null |
null | null |
SST5
|
train
| null | 3
| null | null | null | null | null | null |
null | null |
SST5
|
train
| null | 4
| null | null | null | null | null | null |
null | null |
SST5
|
train
| null | 4
| null | null | null | null | null | null |
null | null |
SST5
|
train
| null | 4
| null | null | null | null | null | null |
null | null |
SST5
|
train
| null | 4
| null | null | null | null | null | null |
null | null |
20newsgroups
|
train
| null | 0
| null | null | null | null | null | null |
null | null |
20newsgroups
|
train
| null | 0
| null | null | null | null | null | null |
null | null |
20newsgroups
|
train
| null | 0
| null | null | null | null | null | null |
null | null |
20newsgroups
|
train
| null | 0
| null | null | null | null | null | null |
null | null |
20newsgroups
|
train
| null | 1
| null | null | null | null | null | null |
null | null |
20newsgroups
|
train
| null | 1
| null | null | null | null | null | null |
null | null |
20newsgroups
|
train
| null | 1
| null | null | null | null | null | null |
null | null |
20newsgroups
|
train
| null | 1
| null | null | null | null | null | null |
null | null |
20newsgroups
|
train
| null | 2
| null | null | null | null | null | null |
null | null |
20newsgroups
|
train
| null | 2
| null | null | null | null | null | null |
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