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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type string to null
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 289, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 124, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_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 2224, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2002, in cast_array_to_feature
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2086, in cast_array_to_feature
                  return array_cast(
                         ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1948, in array_cast
                  raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
              TypeError: Couldn't cast array of type string to null
              
              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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1922, 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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benchmark_config_hash
string
config
dict
measurements
dict
metadata
dict
a6ae95a4ff9612efe2180b1f76599e1105627d9226e6b752fbc58778bc9b037d
{ "attn_implementation": "flex_attention", "batch_size": 1, "compile_mode": "default", "compile_options": {}, "gpu_monitoring": true, "kernelize": false, "measurement_iterations": 1, "name": "w1_i1-monitored-b1_s32_n5-flex_attention-compiled_default-unkernelized", "num_tokens_to_generate": 5, "sdpa_...
{ "e2e_latency": [ 0.16807457 ], "gpu_metrics": [ { "memory_used": [ 0.0000182875 ], "monitoring_status": "success", "timestamp_0": 1760645527.3762913, "timestamps": [ 0 ], "utilization": [ 0 ] } ], "shape_and_decoded_outputs"...
{ "branch_name": "feat/benchmark_v2_ci", "commit_id": "ed0ce751ce264343d65432bd98c77983203fa592", "commit_message": "wip", "hardware_info": { "gpu_memory_total_gb": 79.4371337891, "gpu_name": "NVIDIA H100 80GB HBM3", "python_version": "3.13.5", "torch_version": "2.7.1+cu126" }, "model_id": "...
c9dbfb6b2b27ac313972a368dcbc99c91035eeda27063ff87e7d84d267d60577
{ "attn_implementation": "eager", "batch_size": 1, "compile_mode": "default", "compile_options": {}, "gpu_monitoring": true, "kernelize": false, "measurement_iterations": 1, "name": "w1_i1-monitored-b1_s32_n5-eager-compiled_default-unkernelized", "num_tokens_to_generate": 5, "sdpa_backend": null, ...
{ "e2e_latency": [ 0.0749783169 ], "gpu_metrics": [ { "memory_used": [ 0.0000182856 ], "monitoring_status": "success", "timestamp_0": 1760645557.6526833, "timestamps": [ 0 ], "utilization": [ 0 ] } ], "shape_and_decoded_output...
{ "branch_name": "feat/benchmark_v2_ci", "commit_id": "ed0ce751ce264343d65432bd98c77983203fa592", "commit_message": "wip", "hardware_info": { "gpu_memory_total_gb": 79.4371337891, "gpu_name": "NVIDIA H100 80GB HBM3", "python_version": "3.13.5", "torch_version": "2.7.1+cu126" }, "model_id": "...
287b04d98eb051e4e2310293a8561a23cd754afb7d8b6fb8be6c3fc199556d9a
{ "attn_implementation": "flash_attention_2", "batch_size": 1, "compile_mode": null, "compile_options": {}, "gpu_monitoring": true, "kernelize": false, "measurement_iterations": 1, "name": "w1_i1-monitored-b1_s32_n5-flash_attention_2-uncompiled-unkernelized", "num_tokens_to_generate": 5, "sdpa_backe...
{ "e2e_latency": [ 0.1649869829 ], "gpu_metrics": [ { "memory_used": [ 0.0000182837 ], "monitoring_status": "success", "timestamp_0": 1760645566.5239754, "timestamps": [ 0 ], "utilization": [ 3 ] } ], "shape_and_decoded_output...
{ "branch_name": "feat/benchmark_v2_ci", "commit_id": "ed0ce751ce264343d65432bd98c77983203fa592", "commit_message": "wip", "hardware_info": { "gpu_memory_total_gb": 79.4371337891, "gpu_name": "NVIDIA H100 80GB HBM3", "python_version": "3.13.5", "torch_version": "2.7.1+cu126" }, "model_id": "...
a6ae95a4ff9612efe2180b1f76599e1105627d9226e6b752fbc58778bc9b037d
{ "attn_implementation": "flex_attention", "batch_size": 1, "compile_mode": "default", "compile_options": {}, "gpu_monitoring": true, "kernelize": false, "measurement_iterations": 1, "name": "w1_i1-monitored-b1_s32_n5-flex_attention-compiled_default-unkernelized", "num_tokens_to_generate": 5, "sdpa_...
{ "e2e_latency": [ 0.16584115 ], "gpu_metrics": [ { "memory_used": [ 0.0000182875 ], "monitoring_status": "success", "timestamp_0": 1760647170.1845338, "timestamps": [ 0 ], "utilization": [ 0 ] } ], "shape_and_decoded_outputs"...
{ "branch_name": "feat/benchmark_v2_ci", "commit_id": "172461638063bd19075f5737c25a4877623d6053", "commit_message": "wip", "hardware_info": { "gpu_memory_total_gb": 79.4371337891, "gpu_name": "NVIDIA H100 80GB HBM3", "python_version": "3.13.5", "torch_version": "2.7.1+cu126" }, "model_id": "...
c9dbfb6b2b27ac313972a368dcbc99c91035eeda27063ff87e7d84d267d60577
{ "attn_implementation": "eager", "batch_size": 1, "compile_mode": "default", "compile_options": {}, "gpu_monitoring": true, "kernelize": false, "measurement_iterations": 1, "name": "w1_i1-monitored-b1_s32_n5-eager-compiled_default-unkernelized", "num_tokens_to_generate": 5, "sdpa_backend": null, ...
{ "e2e_latency": [ 0.075524445 ], "gpu_metrics": [ { "memory_used": [ 0.0000182856 ], "monitoring_status": "success", "timestamp_0": 1760647199.7972832, "timestamps": [ 0 ], "utilization": [ 0 ] } ], "shape_and_decoded_outputs...
{ "branch_name": "feat/benchmark_v2_ci", "commit_id": "172461638063bd19075f5737c25a4877623d6053", "commit_message": "wip", "hardware_info": { "gpu_memory_total_gb": 79.4371337891, "gpu_name": "NVIDIA H100 80GB HBM3", "python_version": "3.13.5", "torch_version": "2.7.1+cu126" }, "model_id": "...
287b04d98eb051e4e2310293a8561a23cd754afb7d8b6fb8be6c3fc199556d9a
{ "attn_implementation": "flash_attention_2", "batch_size": 1, "compile_mode": null, "compile_options": {}, "gpu_monitoring": true, "kernelize": false, "measurement_iterations": 1, "name": "w1_i1-monitored-b1_s32_n5-flash_attention_2-uncompiled-unkernelized", "num_tokens_to_generate": 5, "sdpa_backe...
{ "e2e_latency": [ 0.1624490441 ], "gpu_metrics": [ { "memory_used": [ 0.0000182837 ], "monitoring_status": "success", "timestamp_0": 1760647208.4838204, "timestamps": [ 0 ], "utilization": [ 8 ] } ], "shape_and_decoded_output...
{ "branch_name": "feat/benchmark_v2_ci", "commit_id": "172461638063bd19075f5737c25a4877623d6053", "commit_message": "wip", "hardware_info": { "gpu_memory_total_gb": 79.4371337891, "gpu_name": "NVIDIA H100 80GB HBM3", "python_version": "3.13.5", "torch_version": "2.7.1+cu126" }, "model_id": "...
a6ae95a4ff9612efe2180b1f76599e1105627d9226e6b752fbc58778bc9b037d
{ "attn_implementation": "flex_attention", "batch_size": 1, "compile_mode": "default", "compile_options": {}, "gpu_monitoring": true, "kernelize": false, "measurement_iterations": 1, "name": "w1_i1-monitored-b1_s32_n5-flex_attention-compiled_default-unkernelized", "num_tokens_to_generate": 5, "sdpa_...
{ "e2e_latency": [ 0.301411524 ], "gpu_metrics": [ { "memory_used": [ 0.0000149896, 0.000015012 ], "monitoring_status": "success", "timestamp_0": 1760711175.5919824, "timestamps": [ 0, 0.2011740208 ], "utilization": [ 36, ...
{ "branch_name": "feat/benchmark_v2_ci", "commit_id": "17792fa5339a6eb3accfd08ed587b39438c3bbbb", "commit_message": "feat: add benchmark v2 ci with results pushed to dataset", "hardware_info": { "gpu_memory_total_gb": 22.3012695312, "gpu_name": "NVIDIA A10G", "python_version": "3.10.12", "torch_...
c9dbfb6b2b27ac313972a368dcbc99c91035eeda27063ff87e7d84d267d60577
{ "attn_implementation": "eager", "batch_size": 1, "compile_mode": "default", "compile_options": {}, "gpu_monitoring": true, "kernelize": false, "measurement_iterations": 1, "name": "w1_i1-monitored-b1_s32_n5-eager-compiled_default-unkernelized", "num_tokens_to_generate": 5, "sdpa_backend": null, ...
{ "e2e_latency": [ 0.195601331 ], "gpu_metrics": [ { "memory_used": [ 0.0000150064 ], "monitoring_status": "success", "timestamp_0": 1760711207.4833257, "timestamps": [ 0 ], "utilization": [ 32 ] } ], "shape_and_decoded_output...
{ "branch_name": "feat/benchmark_v2_ci", "commit_id": "17792fa5339a6eb3accfd08ed587b39438c3bbbb", "commit_message": "feat: add benchmark v2 ci with results pushed to dataset", "hardware_info": { "gpu_memory_total_gb": 22.3012695312, "gpu_name": "NVIDIA A10G", "python_version": "3.10.12", "torch_...
287b04d98eb051e4e2310293a8561a23cd754afb7d8b6fb8be6c3fc199556d9a
{ "attn_implementation": "flash_attention_2", "batch_size": 1, "compile_mode": null, "compile_options": {}, "gpu_monitoring": true, "kernelize": false, "measurement_iterations": 1, "name": "w1_i1-monitored-b1_s32_n5-flash_attention_2-uncompiled-unkernelized", "num_tokens_to_generate": 5, "sdpa_backe...
{ "e2e_latency": [ 0.229721673 ], "gpu_metrics": [ { "memory_used": [ 0.0000149859, 0.0000149859 ], "monitoring_status": "success", "timestamp_0": 1760711216.9743993, "timestamps": [ 0, 0.2014379501 ], "utilization": [ 83, ...
{ "branch_name": "feat/benchmark_v2_ci", "commit_id": "17792fa5339a6eb3accfd08ed587b39438c3bbbb", "commit_message": "feat: add benchmark v2 ci with results pushed to dataset", "hardware_info": { "gpu_memory_total_gb": 22.3012695312, "gpu_name": "NVIDIA A10G", "python_version": "3.10.12", "torch_...
7270d2d09828b77f58bf99e97af10c4e2c7e76e077cfe9f2df4e7a9745446502
{ "attn_implementation": "flex_attention", "batch_size": 1, "compile_mode": "default", "compile_options": {}, "gpu_monitoring": false, "kernelize": false, "measurement_iterations": 1, "name": "w1_i1-unmonitored-b1_s32_n5-flex_attention-compiled_default-unkernelized", "num_tokens_to_generate": 5, "sd...
{ "e2e_latency": [ 0.164014553 ], "gpu_metrics": null, "shape_and_decoded_outputs": [ "(1, 37) | 18 Brumaire in" ], "token_generation_times": [ [ 0.1293741519, 0.138163317, 0.146759828, 0.15533767, 0.16386757, 0.163985402 ] ] }
{ "branch_name": "feat/benchmark_v2_ci", "commit_id": "172461638063bd19075f5737c25a4877623d6053", "commit_message": "wip", "hardware_info": { "gpu_memory_total_gb": 79.4371337891, "gpu_name": "NVIDIA H100 80GB HBM3", "python_version": "3.13.5", "torch_version": "2.7.1+cu126" }, "model_id": "...
b48c4a4b4391aab327d4192d9cc4b767758bae3e1387f1bdeb8b80388f3f269e
{ "attn_implementation": "eager", "batch_size": 1, "compile_mode": "default", "compile_options": {}, "gpu_monitoring": false, "kernelize": false, "measurement_iterations": 1, "name": "w1_i1-unmonitored-b1_s32_n5-eager-compiled_default-unkernelized", "num_tokens_to_generate": 5, "sdpa_backend": null,...
{ "e2e_latency": [ 0.0730237979 ], "gpu_metrics": null, "shape_and_decoded_outputs": [ "(1, 37) | 18 Brumaire in" ], "token_generation_times": [ [ 0.0357038829, 0.045202032, 0.054447157, 0.063692251, 0.072889665, 0.073005287 ] ] }
{ "branch_name": "feat/benchmark_v2_ci", "commit_id": "172461638063bd19075f5737c25a4877623d6053", "commit_message": "wip", "hardware_info": { "gpu_memory_total_gb": 79.4371337891, "gpu_name": "NVIDIA H100 80GB HBM3", "python_version": "3.13.5", "torch_version": "2.7.1+cu126" }, "model_id": "...
13d589b91f3120dd28f7dbe6fd35924a4ea3631ace3653805107fc833b7a6a3a
{ "attn_implementation": "flash_attention_2", "batch_size": 1, "compile_mode": null, "compile_options": {}, "gpu_monitoring": false, "kernelize": false, "measurement_iterations": 1, "name": "w1_i1-unmonitored-b1_s32_n5-flash_attention_2-uncompiled-unkernelized", "num_tokens_to_generate": 5, "sdpa_ba...
{ "e2e_latency": [ 0.159017964 ], "gpu_metrics": null, "shape_and_decoded_outputs": [ "(1, 37) | 18 Brumaire in" ], "token_generation_times": [ [ 0.0329530181, 0.064417906, 0.095871574, 0.127355222, 0.15882957, 0.1589581331 ] ] }
{ "branch_name": "feat/benchmark_v2_ci", "commit_id": "172461638063bd19075f5737c25a4877623d6053", "commit_message": "wip", "hardware_info": { "gpu_memory_total_gb": 79.4371337891, "gpu_name": "NVIDIA H100 80GB HBM3", "python_version": "3.13.5", "torch_version": "2.7.1+cu126" }, "model_id": "...
559718c572a3306e03673f1ceaea0502f26fa89dcf56c6d322b088ce890c3572
{ "attn_implementation": "flex_attention", "batch_size": 16, "compile_mode": "default", "compile_options": {}, "gpu_monitoring": false, "kernelize": false, "measurement_iterations": 7, "name": "w3_i7-unmonitored-b16_s64_n512-flex_attention-compiled_default-unkernelized", "num_tokens_to_generate": 512,...
{ "e2e_latency": [ 4.8839595449, 4.876068968, 4.8807041399, 4.887873122, 4.881046177, 4.877157859, 4.87416037 ], "gpu_metrics": null, "shape_and_decoded_outputs": [ "(16, 576) | modern French politics.\nThe French Revolution was a complex and multifaceted event, and its causes a...
{ "branch_name": "feat/benchmark_v2_ci", "commit_id": "172461638063bd19075f5737c25a4877623d6053", "commit_message": "wip", "hardware_info": { "gpu_memory_total_gb": 79.4371337891, "gpu_name": "NVIDIA H100 80GB HBM3", "python_version": "3.13.5", "torch_version": "2.7.1+cu126" }, "model_id": "...
9b17330710998ec756daac57d9a57125fcf457de3592ee5bb9a87aa01ec6ad4a
{ "attn_implementation": "eager", "batch_size": 16, "compile_mode": "default", "compile_options": {}, "gpu_monitoring": false, "kernelize": false, "measurement_iterations": 7, "name": "w3_i7-unmonitored-b16_s64_n512-eager-compiled_default-unkernelized", "num_tokens_to_generate": 512, "sdpa_backend":...
{ "e2e_latency": [ 7.389178365, 7.393108413, 7.3910297221, 7.398342408, 7.385578134, 7.383540092, 7.3863331081 ], "gpu_metrics": null, "shape_and_decoded_outputs": [ "(16, 576) | modern French politics.\nThe French Revolution was a complex and multifaceted event that involved a ...
{ "branch_name": "feat/benchmark_v2_ci", "commit_id": "172461638063bd19075f5737c25a4877623d6053", "commit_message": "wip", "hardware_info": { "gpu_memory_total_gb": 79.4371337891, "gpu_name": "NVIDIA H100 80GB HBM3", "python_version": "3.13.5", "torch_version": "2.7.1+cu126" }, "model_id": "...
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