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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 30 new columns ({'time_train_s_rescaled', 'normalized-error-task', 'elo+', 'time_infer_s_per_1K', 'mrr', 'median_time_train_s_per_1K', 'time_infer_s_rescaled', 'elo-', 'median_time_infer_s_per_1K', 'rank', 'median_normalized-error', 'median_rank', 'median_time_infer_s_rescaled', 'median_time_train_s_rescaled', 'median_loss_rescaled', 'rank>3_count', 'elo', 'median_normalized-error-task', 'winrate', 'rank=2_count', 'median_time_infer_s', 'median_champ_delta', 'time_train_s_per_1K', 'rank=3_count', 'normalized-error', 'median_metric_error', 'champ_delta', 'median_time_train_s', 'rank=1_count', 'loss_rescaled'}) and 8 missing columns ({'problem_type', 'dataset', 'seed', 'metric', 'metric_error', 'Unnamed: 0', 'metric_error_val', 'fold'}).
This happened while the csv dataset builder was generating data using
hf://datasets/TabArena/benchmark_results/tabarena_leaderboard.csv (at revision 8f454116513377309f444e7a09820e4137cd6e88)
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
method: string
time_train_s: double
time_infer_s: double
time_train_s_per_1K: double
time_infer_s_per_1K: double
normalized-error: double
normalized-error-task: double
champ_delta: double
loss_rescaled: double
time_train_s_rescaled: double
time_infer_s_rescaled: double
rank: double
median_metric_error: double
median_time_train_s: double
median_time_infer_s: double
median_time_train_s_per_1K: double
median_time_infer_s_per_1K: double
median_normalized-error: double
median_normalized-error-task: double
median_champ_delta: double
median_loss_rescaled: double
median_time_train_s_rescaled: double
median_time_infer_s_rescaled: double
median_rank: double
rank=1_count: int64
rank=2_count: int64
rank=3_count: int64
rank>3_count: int64
elo: double
elo+: double
elo-: double
winrate: double
mrr: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 4594
to
{'Unnamed: 0': Value(dtype='int64', id=None), 'dataset': Value(dtype='string', id=None), 'fold': Value(dtype='int64', id=None), 'method': Value(dtype='string', id=None), 'metric_error': Value(dtype='float64', id=None), 'time_train_s': Value(dtype='float64', id=None), 'time_infer_s': Value(dtype='float64', id=None), 'metric_error_val': Value(dtype='float64', id=None), 'seed': Value(dtype='int64', id=None), 'problem_type': Value(dtype='string', id=None), 'metric': Value(dtype='string', id=None)}
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 1433, 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 1050, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, 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 30 new columns ({'time_train_s_rescaled', 'normalized-error-task', 'elo+', 'time_infer_s_per_1K', 'mrr', 'median_time_train_s_per_1K', 'time_infer_s_rescaled', 'elo-', 'median_time_infer_s_per_1K', 'rank', 'median_normalized-error', 'median_rank', 'median_time_infer_s_rescaled', 'median_time_train_s_rescaled', 'median_loss_rescaled', 'rank>3_count', 'elo', 'median_normalized-error-task', 'winrate', 'rank=2_count', 'median_time_infer_s', 'median_champ_delta', 'time_train_s_per_1K', 'rank=3_count', 'normalized-error', 'median_metric_error', 'champ_delta', 'median_time_train_s', 'rank=1_count', 'loss_rescaled'}) and 8 missing columns ({'problem_type', 'dataset', 'seed', 'metric', 'metric_error', 'Unnamed: 0', 'metric_error_val', 'fold'}).
This happened while the csv dataset builder was generating data using
hf://datasets/TabArena/benchmark_results/tabarena_leaderboard.csv (at revision 8f454116513377309f444e7a09820e4137cd6e88)
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.
Unnamed: 0
int64 | dataset
string | fold
int64 | method
string | metric_error
float64 | time_train_s
float64 | time_infer_s
float64 | metric_error_val
float64 | seed
int64 | problem_type
string | metric
string |
|---|---|---|---|---|---|---|---|---|---|---|
12,240
|
APSFailure
| 0
|
CAT (default)
| 0.006103
| 96.988604
| 0.493216
| 0.009566
| 0
|
binary
|
roc_auc
|
12,442
|
APSFailure
| 0
|
EBM (default)
| 0.0061
| 81.728193
| 1.551056
| 0.012289
| 0
|
binary
|
roc_auc
|
12,643
|
APSFailure
| 0
|
XT (default)
| 0.007995
| 8.312961
| 0.24841
| 0.013914
| 0
|
binary
|
roc_auc
|
12,844
|
APSFailure
| 0
|
KNN (default)
| 0.089384
| 6.709016
| 2.767936
| 0.089749
| 0
|
binary
|
roc_auc
|
12,895
|
APSFailure
| 0
|
GBM (default)
| 0.005363
| 21.912855
| 0.792875
| 0.01186
| 0
|
binary
|
roc_auc
|
13,096
|
APSFailure
| 0
|
LR (default)
| 0.009427
| 15.254207
| 5.405207
| 0.013296
| 0
|
binary
|
roc_auc
|
13,212
|
APSFailure
| 0
|
FASTAI (default)
| 0.00806
| 61.790236
| 2.701613
| 0.019538
| 0
|
binary
|
roc_auc
|
13,413
|
APSFailure
| 0
|
NN_TORCH (default)
| 0.008323
| 56.228271
| 5.604622
| 0.01185
| 0
|
binary
|
roc_auc
|
13,614
|
APSFailure
| 0
|
RF (default)
| 0.00674
| 34.526603
| 0.218996
| 0.013152
| 0
|
binary
|
roc_auc
|
13,815
|
APSFailure
| 0
|
REALMLP (default)
| 0.007574
| 1,607.760299
| 11.857592
| 0.014745
| 0
|
binary
|
roc_auc
|
14,016
|
APSFailure
| 0
|
TABDPT (default)
| 0.008127
| 481.566459
| 210.206574
| 0.012811
| 0
|
binary
|
roc_auc
|
14,017
|
APSFailure
| 0
|
TABICL (default)
| 0.005064
| 822.294091
| 138.868248
| 0.009566
| 0
|
binary
|
roc_auc
|
14,018
|
APSFailure
| 0
|
TABM (default)
| 0.008402
| 4,037.338875
| 127.12626
| 0.010627
| 0
|
binary
|
roc_auc
|
14,218
|
APSFailure
| 0
|
XGB (default)
| 0.005102
| 24.490861
| 1.797312
| 0.011527
| 0
|
binary
|
roc_auc
|
14,428
|
APSFailure
| 0
|
MNCA (default)
| 0.00674
| 34.526603
| 0.218996
| 0.013152
| 0
|
binary
|
roc_auc
|
14,556
|
APSFailure
| 0
|
TABPFNV2 (default)
| 0.00674
| 34.526603
| 0.218996
| 0.013152
| 0
|
binary
|
roc_auc
|
14,757
|
APSFailure
| 1
|
CAT (default)
| 0.009555
| 119.110543
| 0.665473
| 0.006697
| 0
|
binary
|
roc_auc
|
14,959
|
APSFailure
| 1
|
EBM (default)
| 0.010473
| 82.527428
| 1.503783
| 0.007505
| 0
|
binary
|
roc_auc
|
15,160
|
APSFailure
| 1
|
XT (default)
| 0.009838
| 10.387674
| 0.309274
| 0.012641
| 0
|
binary
|
roc_auc
|
15,361
|
APSFailure
| 1
|
KNN (default)
| 0.08325
| 7.347681
| 2.956517
| 0.087999
| 0
|
binary
|
roc_auc
|
15,412
|
APSFailure
| 1
|
GBM (default)
| 0.008583
| 24.357139
| 0.860143
| 0.008892
| 0
|
binary
|
roc_auc
|
15,613
|
APSFailure
| 1
|
LR (default)
| 0.011799
| 17.177127
| 5.78077
| 0.012877
| 0
|
binary
|
roc_auc
|
15,729
|
APSFailure
| 1
|
FASTAI (default)
| 0.014483
| 68.592932
| 2.85586
| 0.018815
| 0
|
binary
|
roc_auc
|
15,930
|
APSFailure
| 1
|
NN_TORCH (default)
| 0.009746
| 85.209674
| 5.788418
| 0.010201
| 0
|
binary
|
roc_auc
|
16,131
|
APSFailure
| 1
|
RF (default)
| 0.009722
| 30.813998
| 0.15911
| 0.011708
| 0
|
binary
|
roc_auc
|
16,332
|
APSFailure
| 1
|
REALMLP (default)
| 0.008951
| 1,597.520273
| 11.363341
| 0.009537
| 0
|
binary
|
roc_auc
|
16,533
|
APSFailure
| 1
|
TABDPT (default)
| 0.008495
| 488.961366
| 213.113071
| 0.012557
| 0
|
binary
|
roc_auc
|
16,534
|
APSFailure
| 1
|
TABICL (default)
| 0.007372
| 819.595904
| 140.789813
| 0.00801
| 0
|
binary
|
roc_auc
|
16,535
|
APSFailure
| 1
|
TABM (default)
| 0.007837
| 5,094.984047
| 121.062618
| 0.009432
| 0
|
binary
|
roc_auc
|
16,735
|
APSFailure
| 1
|
XGB (default)
| 0.009317
| 27.401509
| 2.082681
| 0.006875
| 0
|
binary
|
roc_auc
|
16,945
|
APSFailure
| 1
|
MNCA (default)
| 0.009722
| 30.813998
| 0.15911
| 0.011708
| 0
|
binary
|
roc_auc
|
17,073
|
APSFailure
| 1
|
TABPFNV2 (default)
| 0.009722
| 30.813998
| 0.15911
| 0.011708
| 0
|
binary
|
roc_auc
|
17,274
|
APSFailure
| 2
|
CAT (default)
| 0.007709
| 94.685867
| 0.51901
| 0.007477
| 0
|
binary
|
roc_auc
|
17,476
|
APSFailure
| 2
|
EBM (default)
| 0.009059
| 81.515719
| 1.542403
| 0.010915
| 0
|
binary
|
roc_auc
|
17,677
|
APSFailure
| 2
|
XT (default)
| 0.013575
| 6.890284
| 0.189446
| 0.010601
| 0
|
binary
|
roc_auc
|
17,878
|
APSFailure
| 2
|
KNN (default)
| 0.095655
| 7.226868
| 2.907695
| 0.097344
| 0
|
binary
|
roc_auc
|
17,929
|
APSFailure
| 2
|
GBM (default)
| 0.00944
| 20.733291
| 0.784242
| 0.008072
| 0
|
binary
|
roc_auc
|
18,130
|
APSFailure
| 2
|
LR (default)
| 0.016848
| 14.63388
| 5.362626
| 0.011551
| 0
|
binary
|
roc_auc
|
18,246
|
APSFailure
| 2
|
FASTAI (default)
| 0.014998
| 71.013749
| 3.001339
| 0.017903
| 0
|
binary
|
roc_auc
|
18,447
|
APSFailure
| 2
|
NN_TORCH (default)
| 0.010219
| 58.029178
| 5.676149
| 0.01052
| 0
|
binary
|
roc_auc
|
18,648
|
APSFailure
| 2
|
RF (default)
| 0.013063
| 31.976869
| 0.157808
| 0.010851
| 0
|
binary
|
roc_auc
|
18,849
|
APSFailure
| 2
|
REALMLP (default)
| 0.010389
| 1,705.584099
| 11.858186
| 0.00908
| 0
|
binary
|
roc_auc
|
19,050
|
APSFailure
| 2
|
TABDPT (default)
| 0.012758
| 489.79188
| 214.417337
| 0.013492
| 0
|
binary
|
roc_auc
|
19,051
|
APSFailure
| 2
|
TABICL (default)
| 0.007881
| 819.854824
| 143.80557
| 0.007925
| 0
|
binary
|
roc_auc
|
19,052
|
APSFailure
| 2
|
TABM (default)
| 0.013063
| 31.976869
| 0.157808
| 0.010851
| 0
|
binary
|
roc_auc
|
19,252
|
APSFailure
| 2
|
XGB (default)
| 0.007796
| 24.010082
| 1.913385
| 0.009153
| 0
|
binary
|
roc_auc
|
19,462
|
APSFailure
| 2
|
MNCA (default)
| 0.013063
| 31.976869
| 0.157808
| 0.010851
| 0
|
binary
|
roc_auc
|
19,590
|
APSFailure
| 2
|
TABPFNV2 (default)
| 0.013063
| 31.976869
| 0.157808
| 0.010851
| 0
|
binary
|
roc_auc
|
19,791
|
APSFailure
| 3
|
CAT (default)
| 0.013824
| 107.629186
| 0.173889
| 0.007113
| 0
|
binary
|
roc_auc
|
19,993
|
APSFailure
| 3
|
EBM (default)
| 0.013026
| 79.968603
| 1.492861
| 0.008315
| 0
|
binary
|
roc_auc
|
20,194
|
APSFailure
| 3
|
XT (default)
| 0.012316
| 7.568668
| 0.232628
| 0.012189
| 0
|
binary
|
roc_auc
|
20,395
|
APSFailure
| 3
|
KNN (default)
| 0.095532
| 7.192513
| 2.925074
| 0.082854
| 0
|
binary
|
roc_auc
|
20,446
|
APSFailure
| 3
|
GBM (default)
| 0.011729
| 19.510458
| 0.421926
| 0.006475
| 0
|
binary
|
roc_auc
|
20,647
|
APSFailure
| 3
|
LR (default)
| 0.015289
| 14.789285
| 5.582608
| 0.012922
| 0
|
binary
|
roc_auc
|
20,763
|
APSFailure
| 3
|
FASTAI (default)
| 0.015348
| 69.119714
| 2.506898
| 0.020316
| 0
|
binary
|
roc_auc
|
20,964
|
APSFailure
| 3
|
NN_TORCH (default)
| 0.01387
| 60.002371
| 5.423636
| 0.008902
| 0
|
binary
|
roc_auc
|
21,165
|
APSFailure
| 3
|
RF (default)
| 0.011957
| 31.783755
| 0.193732
| 0.012477
| 0
|
binary
|
roc_auc
|
21,366
|
APSFailure
| 3
|
REALMLP (default)
| 0.0114
| 2,385.252723
| 7.827861
| 0.009468
| 0
|
binary
|
roc_auc
|
21,567
|
APSFailure
| 3
|
TABDPT (default)
| 0.015727
| 485.43646
| 211.858444
| 0.011938
| 0
|
binary
|
roc_auc
|
21,568
|
APSFailure
| 3
|
TABICL (default)
| 0.010688
| 817.003617
| 143.487454
| 0.006954
| 0
|
binary
|
roc_auc
|
21,569
|
APSFailure
| 3
|
TABM (default)
| 0.012314
| 5,183.037109
| 114.131536
| 0.008455
| 0
|
binary
|
roc_auc
|
21,769
|
APSFailure
| 3
|
XGB (default)
| 0.01033
| 23.198824
| 1.63762
| 0.007148
| 0
|
binary
|
roc_auc
|
21,979
|
APSFailure
| 3
|
MNCA (default)
| 0.011957
| 31.783755
| 0.193732
| 0.012477
| 0
|
binary
|
roc_auc
|
22,107
|
APSFailure
| 3
|
TABPFNV2 (default)
| 0.011957
| 31.783755
| 0.193732
| 0.012477
| 0
|
binary
|
roc_auc
|
22,308
|
APSFailure
| 4
|
CAT (default)
| 0.005124
| 116.515858
| 0.181812
| 0.009647
| 0
|
binary
|
roc_auc
|
22,510
|
APSFailure
| 4
|
EBM (default)
| 0.006551
| 86.319745
| 1.523157
| 0.011289
| 0
|
binary
|
roc_auc
|
22,711
|
APSFailure
| 4
|
XT (default)
| 0.007539
| 8.031621
| 0.219726
| 0.013579
| 0
|
binary
|
roc_auc
|
22,912
|
APSFailure
| 4
|
KNN (default)
| 0.074868
| 7.383993
| 3.031892
| 0.094813
| 0
|
binary
|
roc_auc
|
22,963
|
APSFailure
| 4
|
GBM (default)
| 0.006142
| 21.924698
| 0.4874
| 0.0107
| 0
|
binary
|
roc_auc
|
23,164
|
APSFailure
| 4
|
LR (default)
| 0.010629
| 14.228994
| 5.448781
| 0.012551
| 0
|
binary
|
roc_auc
|
23,280
|
APSFailure
| 4
|
FASTAI (default)
| 0.009588
| 73.182009
| 2.887287
| 0.021812
| 0
|
binary
|
roc_auc
|
23,481
|
APSFailure
| 4
|
NN_TORCH (default)
| 0.008532
| 77.666327
| 5.639279
| 0.01161
| 0
|
binary
|
roc_auc
|
23,682
|
APSFailure
| 4
|
RF (default)
| 0.007241
| 33.32259
| 0.185444
| 0.012659
| 0
|
binary
|
roc_auc
|
23,883
|
APSFailure
| 4
|
REALMLP (default)
| 0.007609
| 1,787.83619
| 8.517549
| 0.011434
| 0
|
binary
|
roc_auc
|
24,084
|
APSFailure
| 4
|
TABDPT (default)
| 0.008892
| 486.316746
| 211.601288
| 0.013644
| 0
|
binary
|
roc_auc
|
24,085
|
APSFailure
| 4
|
TABICL (default)
| 0.004979
| 807.481986
| 138.816284
| 0.009521
| 0
|
binary
|
roc_auc
|
24,086
|
APSFailure
| 4
|
TABM (default)
| 0.007241
| 33.32259
| 0.185444
| 0.012659
| 0
|
binary
|
roc_auc
|
24,286
|
APSFailure
| 4
|
XGB (default)
| 0.006861
| 25.770984
| 1.89537
| 0.010051
| 0
|
binary
|
roc_auc
|
24,496
|
APSFailure
| 4
|
MNCA (default)
| 0.007241
| 33.32259
| 0.185444
| 0.012659
| 0
|
binary
|
roc_auc
|
24,624
|
APSFailure
| 4
|
TABPFNV2 (default)
| 0.007241
| 33.32259
| 0.185444
| 0.012659
| 0
|
binary
|
roc_auc
|
24,825
|
APSFailure
| 5
|
CAT (default)
| 0.005955
| 86.023261
| 0.141827
| 0.010887
| 0
|
binary
|
roc_auc
|
25,027
|
APSFailure
| 5
|
EBM (default)
| 0.007364
| 78.776013
| 1.527647
| 0.01227
| 0
|
binary
|
roc_auc
|
25,228
|
APSFailure
| 5
|
XT (default)
| 0.009569
| 7.132545
| 0.183931
| 0.011384
| 0
|
binary
|
roc_auc
|
25,429
|
APSFailure
| 5
|
KNN (default)
| 0.095546
| 7.172294
| 2.989676
| 0.090108
| 0
|
binary
|
roc_auc
|
25,480
|
APSFailure
| 5
|
GBM (default)
| 0.006237
| 20.060068
| 0.394417
| 0.012097
| 0
|
binary
|
roc_auc
|
25,681
|
APSFailure
| 5
|
LR (default)
| 0.009727
| 13.875376
| 5.468547
| 0.013969
| 0
|
binary
|
roc_auc
|
25,797
|
APSFailure
| 5
|
FASTAI (default)
| 0.012223
| 80.341503
| 2.994842
| 0.024556
| 0
|
binary
|
roc_auc
|
25,998
|
APSFailure
| 5
|
NN_TORCH (default)
| 0.008033
| 65.990785
| 5.65161
| 0.011342
| 0
|
binary
|
roc_auc
|
26,199
|
APSFailure
| 5
|
RF (default)
| 0.009484
| 32.508189
| 0.149632
| 0.013332
| 0
|
binary
|
roc_auc
|
26,400
|
APSFailure
| 5
|
REALMLP (default)
| 0.009434
| 1,461.354524
| 7.963092
| 0.012827
| 0
|
binary
|
roc_auc
|
26,601
|
APSFailure
| 5
|
TABDPT (default)
| 0.007372
| 489.674792
| 213.872278
| 0.016201
| 0
|
binary
|
roc_auc
|
26,602
|
APSFailure
| 5
|
TABICL (default)
| 0.006174
| 807.685647
| 139.246708
| 0.009749
| 0
|
binary
|
roc_auc
|
26,603
|
APSFailure
| 5
|
TABM (default)
| 0.009484
| 32.508189
| 0.149632
| 0.013332
| 0
|
binary
|
roc_auc
|
26,803
|
APSFailure
| 5
|
XGB (default)
| 0.006646
| 24.298403
| 1.869292
| 0.012161
| 0
|
binary
|
roc_auc
|
27,013
|
APSFailure
| 5
|
MNCA (default)
| 0.009484
| 32.508189
| 0.149632
| 0.013332
| 0
|
binary
|
roc_auc
|
27,141
|
APSFailure
| 5
|
TABPFNV2 (default)
| 0.009484
| 32.508189
| 0.149632
| 0.013332
| 0
|
binary
|
roc_auc
|
27,342
|
APSFailure
| 6
|
CAT (default)
| 0.00683
| 101.158056
| 0.133087
| 0.008478
| 0
|
binary
|
roc_auc
|
27,544
|
APSFailure
| 6
|
EBM (default)
| 0.008707
| 96.326602
| 1.575792
| 0.009859
| 0
|
binary
|
roc_auc
|
27,745
|
APSFailure
| 6
|
XT (default)
| 0.01064
| 6.40132
| 0.175763
| 0.012684
| 0
|
binary
|
roc_auc
|
27,946
|
APSFailure
| 6
|
KNN (default)
| 0.107915
| 7.103718
| 2.985205
| 0.082667
| 0
|
binary
|
roc_auc
|
End of preview.
Submitting Results to the Leaderboard
First, install the TabArena dependencies:
pip install uv
uv venv --seed --python 3.11 ~/.venvs/tabarena
source ~/.venvs/tabarena
git clone --branch tabarena https://github.com/autogluon/tabrepo.git
# use GIT_LFS_SKIP_SMUDGE=1 in front of the command if installing TabDPT fails due to a broken LFS/pip setup.
GIT_LFS_SKIP_SMUDGE=1 uv pip install -e tabrepo/[benchmark]
git clone https://huggingface.co/datasets/TabArena/benchmark_results
Next, concatenate your model performance results to 'df_results.csv' and rerun 'get_leaderboard_csv.py' to obtain an updated leaderboard.
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