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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 4 new columns ({'eval_loss', 'eval_runtime', 'eval_steps_per_second', 'eval_samples_per_second'}) and 5 missing columns ({'total_flos', 'train_runtime', 'train_loss', 'train_steps_per_second', 'train_samples_per_second'}).

This happened while the json dataset builder was generating data using

hf://datasets/bongard0v0/curriculum_learning/100_lora_sft_ttt/eval_results.json (at revision e838323843e7e131df3025169fb2372180c2c660)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              epoch: double
              eval_loss: double
              eval_runtime: double
              eval_samples_per_second: double
              eval_steps_per_second: double
              to
              {'epoch': Value('float64'), 'total_flos': Value('float64'), 'train_loss': Value('float64'), 'train_runtime': Value('float64'), 'train_samples_per_second': Value('float64'), 'train_steps_per_second': 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 1451, 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 994, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, 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 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 4 new columns ({'eval_loss', 'eval_runtime', 'eval_steps_per_second', 'eval_samples_per_second'}) and 5 missing columns ({'total_flos', 'train_runtime', 'train_loss', 'train_steps_per_second', 'train_samples_per_second'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/bongard0v0/curriculum_learning/100_lora_sft_ttt/eval_results.json (at revision e838323843e7e131df3025169fb2372180c2c660)
              
              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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epoch
float64
total_flos
float64
train_loss
float64
train_runtime
float64
train_samples_per_second
float64
train_steps_per_second
float64
2
34,102,773,284,864
0.023134
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0.901
0.225
2
11,399,228,555,264
0.017152
3,811.5722
0.327
0.082
2
12,490,745,577,472
0.018073
3,749.7125
0.364
0.091
2
13,584,634,740,736
0.018395
4,146.6115
0.358
0.09
2
14,673,778,311,168
0.01712
4,997.1732
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2
15,760,549,085,184
0.016697
5,747.7579
0.3
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2
16,784,043,802,624
0.01747
5,132.4203
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2
17,875,560,562,688
0.019762
6,086.1536
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18,967,076,798,464
0.017179
5,342.1921
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20,053,847,703,552
0.017113
4,979.6252
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2
21,150,110,056,448
0.019086
2,564.3566
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1,721,115,869,184
0.013244
545.1918
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22,241,626,030,080
0.020467
5,021.3712
0.485
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2
23,333,143,576,576
0.01766
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0.884
0.221
2
24,351,892,045,824
0.019903
3,084.4055
0.866
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2
25,443,408,281,600
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2
26,534,924,713,984
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28,717,958,037,504
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2
29,809,474,273,280
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2
30,828,222,873,600
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2
31,919,738,978,304
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2,739,864,600,576
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2
34,102,773,284,864
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34,102,773,284,864
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34,102,773,284,864
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34,102,773,284,864
0.019854
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2
34,102,773,284,864
0.021063
5,277.1907
0.709
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2
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0.021561
6,526.4536
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2
34,102,773,284,864
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2
34,102,773,284,864
0.017154
5,826.4036
0.642
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2
3,831,381,098,496
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1,518.5428
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0.068
2
34,102,773,284,864
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2
34,102,773,284,864
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0.654
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2
34,102,773,284,864
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0.679
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2
34,102,773,284,864
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2
34,102,773,284,864
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2
34,102,773,284,864
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2
34,102,773,284,864
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2
34,102,773,284,864
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2
34,102,773,284,864
0.023767
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2
34,102,773,284,864
0.021629
4,510.4072
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2
4,922,897,596,416
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2
34,102,773,284,864
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2
34,102,773,284,864
0.025288
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2
34,102,773,284,864
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2
34,102,773,284,864
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2
34,102,773,284,864
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2
34,102,773,284,864
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34,102,773,284,864
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2
34,102,773,284,864
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2
34,102,773,284,864
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2
6,014,414,094,336
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2
34,102,773,284,864
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2
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2
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2
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34,102,773,284,864
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34,102,773,284,864
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5,132.8976
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2
34,102,773,284,864
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2
34,102,773,284,864
0.03098
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2
34,102,773,284,864
0.02981
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2
34,102,773,284,864
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2
34,102,773,284,864
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2
34,102,773,284,864
0.030835
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2
34,102,773,284,864
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2
34,102,773,284,864
0.028083
4,987.4854
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2
8,197,447,090,176
0.020428
2,455.8551
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2
34,102,773,284,864
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2
34,102,773,284,864
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2
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2
34,102,773,284,864
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2
9,211,449,966,592
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2
34,102,773,284,864
0.029027
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2
34,102,773,284,864
0.027991
4,146.3641
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0.226
2
34,102,773,284,864
0.026812
4,135.2879
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2
34,102,773,284,864
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2
34,102,773,284,864
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2
34,102,773,284,864
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2
34,102,773,284,864
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2
34,102,773,284,864
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2
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2
34,102,773,284,864
0.026412
4,278.4534
0.875
0.219
2
10,307,712,319,488
0.01629
3,650.5178
0.309
0.077

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