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The dataset generation failed
Error code: DatasetGenerationError Exception: ArrowInvalid Message: Float value 0.82 was truncated converting to int64 Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2245, in cast_table_to_schema arrays = [ File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2246, in <listcomp> cast_array_to_feature( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in wrapper return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks]) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in <listcomp> return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks]) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2013, in cast_array_to_feature casted_array_values = _c(array.values, feature[0]) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper return func(array, *args, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2005, in cast_array_to_feature arrays = [ File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2006, in <listcomp> _c(array.field(name) if name in array_fields else null_array, subfeature) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper return func(array, *args, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2102, in cast_array_to_feature return array_cast( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper return func(array, *args, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1949, in array_cast return array.cast(pa_type) File "pyarrow/array.pxi", line 996, in pyarrow.lib.Array.cast File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/compute.py", line 404, in cast return call_function("cast", [arr], options, memory_pool) File "pyarrow/_compute.pyx", line 590, in pyarrow._compute.call_function File "pyarrow/_compute.pyx", line 385, in pyarrow._compute.Function.call File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status pyarrow.lib.ArrowInvalid: Float value 0.82 was truncated converting to int64 The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1412, 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 988, in stream_convert_to_parquet builder._prepare_split( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, 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 1897, in _prepare_split_single raise DatasetGenerationError("An error occurred while generating the dataset") from e datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset
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modelId
string | layer
string | index
string | maxActApprox
float64 | frac_nonzero
float64 | freq_hist_data_bar_heights
sequence | freq_hist_data_bar_values
sequence | logits_hist_data_bar_heights
sequence | logits_hist_data_bar_values
sequence | neg_str
sequence | neg_values
sequence | pos_str
sequence | pos_values
sequence | correlated_neurons_indices
sequence | correlated_neurons_l1
sequence | correlated_features_pearson
sequence | neuron_alignment_indices
sequence | neuron_alignment_l1
sequence | neuron_alignment_values
sequence | activations
list | explanations
list |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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gemma-2-9b | 0-gemmascope-att-16k | 102 | 8.497 | 0.01466 | [14697,6506,3297,1952,1158,797,519,380,324,170,162,131,89,67,60,50,60,42,37,40,20,17,53,15,13,15,9,6(...TRUNCATED) | [0.455,0.618,0.78,0.9420000000000001,1.105,1.267,1.43,1.592,1.755,1.917,2.08,2.242,2.405000000000000(...TRUNCATED) | [2,52,81,64,56,59,59,89,82,94,160,203,148,250,394,667,1432,2771,4775,7609,10798,12358,16423,18177,19(...TRUNCATED) | [-0.7020000000000001,-0.685,-0.668,-0.651,-0.634,-0.616,-0.599,-0.582,-0.5650000000000001,-0.547,-0.(...TRUNCATED) | [
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gemma-2-9b | 0-gemmascope-att-16k | 103 | 6.306 | 0.0003 | [129,109,101,77,61,46,25,25,9,3,1,2,1,2,1,1,0,0,0,0,1,0,2,2,1,1,2,6,1,2,2,1,6,3,1,2,1,0,2,1,3,1,1,0,(...TRUNCATED) | [0.505,0.622,0.74,0.857,0.974,1.091,1.208,1.325,1.443,1.56,1.677,1.794,1.911,2.029,2.146,2.263,2.38,(...TRUNCATED) | [1,2,2,3,3,13,7,17,25,33,45,44,93,105,140,130,138,181,207,235,196,263,274,330,396,501,707,1120,2039,(...TRUNCATED) | [-1.064,-1.035,-1.006,-0.977,-0.9480000000000001,-0.919,-0.89,-0.861,-0.8320000000000001,-0.803,-0.7(...TRUNCATED) | [
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gemma-2-9b | 0-gemmascope-att-16k | 105 | 7.265 | 0.00316 | [2767,1301,709,484,340,212,154,120,118,73,51,48,31,15,22,22,26,14,8,7,6,8,3,8,2,5,3,6,4,1,0,4,6,5,2,(...TRUNCATED) | [0.454,0.591,0.729,0.867,1.004,1.142,1.279,1.417,1.5550000000000002,1.6920000000000002,1.83,1.967,2.(...TRUNCATED) | [1,1,1,1,2,5,6,12,22,38,60,109,204,370,633,881,1335,2025,3037,4556,6273,8649,11309,14144,16746,19992(...TRUNCATED) | [-0.249,-0.23700000000000002,-0.224,-0.211,-0.198,-0.186,-0.17300000000000001,-0.16,-0.147,-0.135,-0(...TRUNCATED) | ["UnusedPrivate","Hochspringen","UserScript","semantics","findpost","TagMode","▁препратки(...TRUNCATED) | [
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gemma-2-9b | 0-gemmascope-att-16k | 106 | 2.397 | 0.00194 | [1007,651,466,330,264,221,174,164,126,102,81,80,68,55,43,37,32,28,28,18,13,12,13,5,5,13,2,6,2,4,1,2,(...TRUNCATED) | [0.398,0.438,0.47800000000000004,0.519,0.559,0.6000000000000001,0.64,0.68,0.721,0.761,0.801,0.842,0.(...TRUNCATED) | [2,0,1,2,2,8,5,18,40,95,300,818,1798,3570,6509,10336,15130,19824,23033,24100,25130,23057,22576,19508(...TRUNCATED) | [-0.293,-0.269,-0.245,-0.221,-0.197,-0.17400000000000002,-0.15,-0.126,-0.10200000000000001,-0.078,-0(...TRUNCATED) | [
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