The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 7 new columns ({'brain_rsa_Sem', 'brain_rsa_mean', 'brain_rsa_Phon', 'brain_rsa_pearson_mean', 'frac_of_ceiling_mean', 'brain_rsa_std', 'brain_n_cells'}) and 9 missing columns ({'dataset', 'rsa_pearson', 'session', 'rsa_kendall', 'rsa', 'n_stim', 'task', 'rsa_lo', 'rsa_hi'}).

This happened while the csv dataset builder was generating data using

hf://datasets/BrainAlign/cdl-devai-lytle2020/by-model/parc-mamba-seed0/checkpoints.csv (at revision 401d1af39118d7354bdad90f5daf998289dec991), ['hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-mamba-seed0/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-mamba-seed0/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-mamba-seed1/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-mamba-seed1/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-mamba-seed2/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-mamba-seed2/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-pythia-seed0/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-pythia-seed0/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-pythia-seed1/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-pythia-seed1/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-pythia-seed2/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-pythia-seed2/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-rwkv-seed0/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-rwkv-seed0/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-rwkv-seed1/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-rwkv-seed1/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-rwkv-seed2/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-rwkv-seed2/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/pythia-1.4b-full/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/pythia-1.4b-full/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/pythia-160m-full/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/pythia-160m-full/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/pythia-1b-full/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/pythia-1b-full/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/pythia-410m-full/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/pythia-410m-full/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/pythia-70m-full/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/pythia-70m-full/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/ceiling-analysis/ceilings.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/overall/by_checkpoint.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/overall/claim_tests.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/overall/null_referenced.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/overall/null_summary.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/overall/summary_by_family.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
              family: string
              model_ref: string
              step: int64
              tokens: int64
              brain_rsa_mean: double
              brain_rsa_std: double
              brain_rsa_pearson_mean: double
              brain_n_cells: int64
              frac_of_ceiling_mean: double
              brain_rsa_Phon: double
              brain_rsa_Sem: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1643
              to
              {'family': Value('string'), 'model_ref': Value('string'), 'dataset': Value('string'), 'step': Value('int64'), 'tokens': Value('int64'), 'task': Value('string'), 'session': Value('string'), 'n_stim': Value('int64'), 'rsa': Value('float64'), 'rsa_pearson': Value('float64'), 'rsa_kendall': Value('float64'), 'rsa_lo': Value('float64'), 'rsa_hi': 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 7 new columns ({'brain_rsa_Sem', 'brain_rsa_mean', 'brain_rsa_Phon', 'brain_rsa_pearson_mean', 'frac_of_ceiling_mean', 'brain_rsa_std', 'brain_n_cells'}) and 9 missing columns ({'dataset', 'rsa_pearson', 'session', 'rsa_kendall', 'rsa', 'n_stim', 'task', 'rsa_lo', 'rsa_hi'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/BrainAlign/cdl-devai-lytle2020/by-model/parc-mamba-seed0/checkpoints.csv (at revision 401d1af39118d7354bdad90f5daf998289dec991), ['hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-mamba-seed0/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-mamba-seed0/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-mamba-seed1/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-mamba-seed1/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-mamba-seed2/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-mamba-seed2/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-pythia-seed0/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-pythia-seed0/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-pythia-seed1/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-pythia-seed1/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-pythia-seed2/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-pythia-seed2/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-rwkv-seed0/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-rwkv-seed0/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-rwkv-seed1/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-rwkv-seed1/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-rwkv-seed2/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/parc-rwkv-seed2/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/pythia-1.4b-full/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/pythia-1.4b-full/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/pythia-160m-full/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/pythia-160m-full/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/pythia-1b-full/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/pythia-1b-full/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/pythia-410m-full/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/pythia-410m-full/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/pythia-70m-full/brain_alignment.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/by-model/pythia-70m-full/checkpoints.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/ceiling-analysis/ceilings.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/overall/by_checkpoint.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/overall/claim_tests.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/overall/null_referenced.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/overall/null_summary.csv', 'hf://datasets/BrainAlign/cdl-devai-lytle2020@401d1af39118d7354bdad90f5daf998289dec991/overall/summary_by_family.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.

family
string
model_ref
string
dataset
string
step
int64
tokens
int64
task
string
session
string
n_stim
int64
rsa
float64
rsa_pearson
float64
rsa_kendall
float64
rsa_lo
null
rsa_hi
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-10
ds002236
10
5,242,880
Phon
ses-11
96
0.016661
0.010744
0.011087
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-20
ds002236
20
10,485,760
Phon
ses-11
96
0.021726
0.020761
0.014714
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-30
ds002236
30
15,728,640
Phon
ses-11
96
0.013485
0.013985
0.008961
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-50
ds002236
50
26,214,400
Phon
ses-11
96
0.01033
0.010138
0.006908
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-70
ds002236
70
36,700,160
Phon
ses-11
96
-0.013673
-0.01543
-0.009085
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-100
ds002236
100
52,428,800
Phon
ses-11
96
0.013548
-0.003417
0.008704
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-300
ds002236
300
157,286,400
Phon
ses-11
96
0.002967
0.001615
0.002026
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-640
ds002236
640
335,544,320
Phon
ses-11
96
0.044675
0.024745
0.02971
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-1100
ds002236
1,100
576,716,800
Phon
ses-11
96
0.054989
0.030145
0.036664
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-1850
ds002236
1,850
969,932,800
Phon
ses-11
96
0.039608
0.024844
0.026448
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-4000
ds002236
4,000
2,097,152,000
Phon
ses-11
96
0.042966
0.017739
0.028961
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-10
ds002236
10
5,242,880
Phon
ses-11+
96
0.012069
0.006371
0.007957
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-20
ds002236
20
10,485,760
Phon
ses-11+
96
0.025447
0.019093
0.016936
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-30
ds002236
30
15,728,640
Phon
ses-11+
96
0.020536
0.0118
0.013716
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-50
ds002236
50
26,214,400
Phon
ses-11+
96
0.014607
0.010419
0.00975
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-70
ds002236
70
36,700,160
Phon
ses-11+
96
-0.024272
-0.012432
-0.016161
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-100
ds002236
100
52,428,800
Phon
ses-11+
96
-0.021863
-0.017995
-0.014469
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-300
ds002236
300
157,286,400
Phon
ses-11+
96
-0.013213
-0.009751
-0.008852
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-640
ds002236
640
335,544,320
Phon
ses-11+
96
0.027048
0.01058
0.018127
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-1100
ds002236
1,100
576,716,800
Phon
ses-11+
96
0.048945
0.017919
0.032835
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-1850
ds002236
1,850
969,932,800
Phon
ses-11+
96
0.036483
0.010722
0.024495
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-4000
ds002236
4,000
2,097,152,000
Phon
ses-11+
96
0.036467
0.00521
0.024534
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-10
ds002236
10
5,242,880
Phon
ses-9
96
-0.003713
-0.000105
-0.002449
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-20
ds002236
20
10,485,760
Phon
ses-9
96
0.011791
0.014668
0.007844
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-30
ds002236
30
15,728,640
Phon
ses-9
96
0.014603
0.011906
0.009742
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-50
ds002236
50
26,214,400
Phon
ses-9
96
0.012775
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0.008515
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-70
ds002236
70
36,700,160
Phon
ses-9
96
0.008179
-0.002864
0.005278
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-100
ds002236
100
52,428,800
Phon
ses-9
96
0.011124
-0.007351
0.007394
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-300
ds002236
300
157,286,400
Phon
ses-9
96
0.006252
-0.001618
0.004197
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-640
ds002236
640
335,544,320
Phon
ses-9
96
0.051846
0.028289
0.034559
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-1100
ds002236
1,100
576,716,800
Phon
ses-9
96
0.06946
0.030352
0.04652
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-1850
ds002236
1,850
969,932,800
Phon
ses-9
96
0.057239
0.030633
0.038378
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-4000
ds002236
4,000
2,097,152,000
Phon
ses-9
96
0.052671
0.024563
0.035224
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-10
ds002236
10
5,242,880
Sem
ses-11
48
0.081521
0.034657
0.05422
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-20
ds002236
20
10,485,760
Sem
ses-11
48
0.054384
0.019277
0.037346
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-30
ds002236
30
15,728,640
Sem
ses-11
48
0.036361
0.011956
0.025103
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-50
ds002236
50
26,214,400
Sem
ses-11
48
0.032871
-0.000256
0.022488
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-70
ds002236
70
36,700,160
Sem
ses-11
48
0.031777
0.009255
0.021503
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-100
ds002236
100
52,428,800
Sem
ses-11
48
0.037733
0.021608
0.025288
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-300
ds002236
300
157,286,400
Sem
ses-11
48
0.00759
0.01312
0.005311
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-640
ds002236
640
335,544,320
Sem
ses-11
48
0.059612
0.021316
0.039023
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-1100
ds002236
1,100
576,716,800
Sem
ses-11
48
0.046361
0.02248
0.030401
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-1850
ds002236
1,850
969,932,800
Sem
ses-11
48
0.020571
0.024615
0.013643
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-4000
ds002236
4,000
2,097,152,000
Sem
ses-11
48
0.004193
0.014519
0.002822
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-10
ds002236
10
5,242,880
Sem
ses-11+
48
0.025989
-0.009294
0.017756
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-20
ds002236
20
10,485,760
Sem
ses-11+
48
0.025982
0.001143
0.018237
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-30
ds002236
30
15,728,640
Sem
ses-11+
48
0.021837
0.008954
0.014534
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-50
ds002236
50
26,214,400
Sem
ses-11+
48
0.022951
-0.004146
0.01499
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-70
ds002236
70
36,700,160
Sem
ses-11+
48
0.021536
-0.013261
0.013885
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-100
ds002236
100
52,428,800
Sem
ses-11+
48
0.022892
-0.000945
0.014738
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-300
ds002236
300
157,286,400
Sem
ses-11+
48
-0.026502
0.011487
-0.016912
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-640
ds002236
640
335,544,320
Sem
ses-11+
48
0.03695
0.003353
0.02493
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-1100
ds002236
1,100
576,716,800
Sem
ses-11+
48
0.026669
0.005564
0.018442
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-1850
ds002236
1,850
969,932,800
Sem
ses-11+
48
-0.00152
0.005968
-0.001035
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-4000
ds002236
4,000
2,097,152,000
Sem
ses-11+
48
-0.018923
-0.00363
-0.012101
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-10
ds002236
10
5,242,880
Sem
ses-9
48
0.047763
0.00971
0.03172
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-20
ds002236
20
10,485,760
Sem
ses-9
48
0.038496
0.016817
0.027129
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-30
ds002236
30
15,728,640
Sem
ses-9
48
0.019424
0.018923
0.013149
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-50
ds002236
50
26,214,400
Sem
ses-9
48
0.011268
0.008062
0.007665
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-70
ds002236
70
36,700,160
Sem
ses-9
48
-0.006103
0.007816
-0.003987
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-100
ds002236
100
52,428,800
Sem
ses-9
48
0.015104
0.004521
0.00993
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-300
ds002236
300
157,286,400
Sem
ses-9
48
-0.013941
0.015809
-0.009235
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-640
ds002236
640
335,544,320
Sem
ses-9
48
0.024842
0.011302
0.016277
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-1100
ds002236
1,100
576,716,800
Sem
ses-9
48
0.028048
0.0157
0.018202
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-1850
ds002236
1,850
969,932,800
Sem
ses-9
48
-0.011678
0.006343
-0.008178
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-4000
ds002236
4,000
2,097,152,000
Sem
ses-9
48
-0.022039
0.000164
-0.014933
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-10
null
10
5,242,880
null
null
null
null
null
null
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-20
null
20
10,485,760
null
null
null
null
null
null
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-30
null
30
15,728,640
null
null
null
null
null
null
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-50
null
50
26,214,400
null
null
null
null
null
null
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-70
null
70
36,700,160
null
null
null
null
null
null
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-100
null
100
52,428,800
null
null
null
null
null
null
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-300
null
300
157,286,400
null
null
null
null
null
null
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-640
null
640
335,544,320
null
null
null
null
null
null
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-1100
null
1,100
576,716,800
null
null
null
null
null
null
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-1850
null
1,850
969,932,800
null
null
null
null
null
null
null
null
parc-mamba-seed0
jmichaelov/parc-mamba-seed0@checkpoint-4000
null
4,000
2,097,152,000
null
null
null
null
null
null
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-10
ds002236
10
5,242,880
Phon
ses-11
96
0.00131
0.004283
0.000772
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-20
ds002236
20
10,485,760
Phon
ses-11
96
0.016439
0.014444
0.011018
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-30
ds002236
30
15,728,640
Phon
ses-11
96
0.011698
0.005822
0.007947
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-50
ds002236
50
26,214,400
Phon
ses-11
96
0.011751
0.00553
0.008036
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-70
ds002236
70
36,700,160
Phon
ses-11
96
0.040887
-0.004932
0.02729
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-100
ds002236
100
52,428,800
Phon
ses-11
96
0.035421
0.006134
0.023811
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-300
ds002236
300
157,286,400
Phon
ses-11
96
0.017808
0.002124
0.011863
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-640
ds002236
640
335,544,320
Phon
ses-11
96
0.013388
0.018665
0.008877
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-1100
ds002236
1,100
576,716,800
Phon
ses-11
96
0.027568
0.019309
0.018531
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-1850
ds002236
1,850
969,932,800
Phon
ses-11
96
0.026263
0.017583
0.017787
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-4000
ds002236
4,000
2,097,152,000
Phon
ses-11
96
0.033036
0.01807
0.02217
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-10
ds002236
10
5,242,880
Phon
ses-11+
96
0.01034
0.006411
0.0068
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-20
ds002236
20
10,485,760
Phon
ses-11+
96
0.018306
0.012691
0.012305
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-30
ds002236
30
15,728,640
Phon
ses-11+
96
0.008219
0.004767
0.005632
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-50
ds002236
50
26,214,400
Phon
ses-11+
96
0.018535
0.008751
0.012363
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-70
ds002236
70
36,700,160
Phon
ses-11+
96
0.0578
-0.00093
0.038721
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-100
ds002236
100
52,428,800
Phon
ses-11+
96
0.027087
-0.008471
0.018444
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-300
ds002236
300
157,286,400
Phon
ses-11+
96
0.00752
-0.006043
0.00493
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-640
ds002236
640
335,544,320
Phon
ses-11+
96
0.000214
0.005605
0.000183
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-1100
ds002236
1,100
576,716,800
Phon
ses-11+
96
0.028529
0.01463
0.01958
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-1850
ds002236
1,850
969,932,800
Phon
ses-11+
96
0.033246
0.015191
0.022522
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-4000
ds002236
4,000
2,097,152,000
Phon
ses-11+
96
0.032477
0.015326
0.021944
null
null
parc-mamba-seed1
jmichaelov/parc-mamba-seed1@checkpoint-10
ds002236
10
5,242,880
Phon
ses-9
96
-0.000919
0.000585
-0.000622
null
null
End of preview.