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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowNotImplementedError
Message:      Cannot write struct type 'driver_options' with no child field to Parquet. Consider adding a dummy child field.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 771, in _write_table
                  self._build_writer(inferred_schema=pa_table.schema)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 812, in _build_writer
                  self.pa_writer = pq.ParquetWriter(
                                   ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
                  self.writer = _parquet.ParquetWriter(
                                ^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'driver_options' with no child field to Parquet. Consider adding a dummy child field.
              
              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 1361, 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 940, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1683, 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 1869, 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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envelope_version
string
suite_id
string
suite_version
string
run_id
string
timestamp
string
model
dict
engine
dict
quantization
dict
hardware_fingerprint
dict
software_provenance
dict
dataset
dict
seed
int64
driver_options
dict
metrics
dict
distributions
dict
slo_template
string
warnings
list
signature
dict
v1
llm.inference.chatbot-short
1.0.0
019ebf74-9c6e-7b36-9234-39c3fd8ced02
2026-06-13T05:29:11.022500Z
{ "id": "Qwen/Qwen2.5-72B-Instruct", "revision": "unknown00", "provider": "vllm", "endpoint_hash": "0000000000000000000000000000000000000000000000000000000000000000" }
{ "name": "vllm", "version": "0.22.1", "config_hash": "0000000000000000000000000000000000000000000000000000000000000000", "image_digest": "" }
{ "format": "bf16", "method": "" }
{ "fingerprint_sha256": "c353425077b20b36c71d9c32d9e5d49096478f4a0f7d6078c1dfc83c408ccf50", "dmi_uuid": "unknown", "gpus": [ { "model": "NVIDIA H100 80GB HBM3", "pci_id": "00000000:0A:00.0", "serial": "1655223057573", "vbios": "96.00.D0.00.02" }, { "model": "NVIDIA H100 8...
{ "image_digest": "", "pip_freeze_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "git_commit": "0000000000000000000000000000000000000000", "nvidia_smi_q_hash": "f499c7ec0c60d27184532cec1862e1b09339b6cf38a31f152d291808ad30d223" }
{ "id": "builtin-chatbot-short", "hash": "6f4b1f68fc3a813baa983cbe70cd9ef57f8c86e6b2e6ccc9aaa2a498e588d510" }
42
{}
{ "ttft_p50_ms": 24.206295143812895, "ttft_p99_ms": 33.59410763718188, "tpot_p50_ms": 16.05390930753641, "tpot_p99_ms": 16.38943523604502, "total_p50_ms": 2061.9910820387304, "total_p99_ms": 2072.519393498078, "req_per_s_passing": 0.4768496980946539, "req_per_s_all": 0.4768496980946539, "compliance_ra...
{}
llm.standard
[]
{ "method": "sigstore-cosign", "certificate": "-----BEGIN CERTIFICATE-----\nMIIHNjCCBrugAwIBAgIUb8QIKUUBBE2jULRHfhV0KgDsnnEwCgYIKoZIzj0EAwMw\nNzEVMBMGA1UEChMMc2lnc3RvcmUuZGV2MR4wHAYDVQQDExVzaWdzdG9yZS1pbnRl\ncm1lZGlhdGUwHhcNMjYwNjEzMTEzOTU0WhcNMjYwNjEzMTE0OTU0WjAAMFkwEwYH\nKoZIzj0CAQYIKoZIzj0DAQcDQgAE7OSKjD63SqPZEO...
v1
llm.inference.chatbot-short
1.0.0
019ebf76-0816-7135-b6a6-6b21ed5abb8d
2026-06-13T05:30:44.118360Z
{ "id": "Qwen/Qwen2.5-72B-Instruct", "revision": "unknown00", "provider": "vllm", "endpoint_hash": "0000000000000000000000000000000000000000000000000000000000000000" }
{ "name": "vllm", "version": "0.22.1", "config_hash": "0000000000000000000000000000000000000000000000000000000000000000", "image_digest": "" }
{ "format": "bf16", "method": "" }
{ "fingerprint_sha256": "c353425077b20b36c71d9c32d9e5d49096478f4a0f7d6078c1dfc83c408ccf50", "dmi_uuid": "unknown", "gpus": [ { "model": "NVIDIA H100 80GB HBM3", "pci_id": "00000000:0A:00.0", "serial": "1655223057573", "vbios": "96.00.D0.00.02" }, { "model": "NVIDIA H100 8...
{ "image_digest": "", "pip_freeze_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "git_commit": "0000000000000000000000000000000000000000", "nvidia_smi_q_hash": "304153be2ffbde5bf8c97dfad2f65e82305798317869609341d8e5e616e6ee26" }
{ "id": "builtin-chatbot-short", "hash": "6f4b1f68fc3a813baa983cbe70cd9ef57f8c86e6b2e6ccc9aaa2a498e588d510" }
42
{}
{ "ttft_p50_ms": 46.3405535556376, "ttft_p99_ms": 48.39602540247142, "tpot_p50_ms": 16.42581731022343, "tpot_p99_ms": 16.79924115479151, "total_p50_ms": 2130.022239405662, "total_p99_ms": 2135.230701016262, "req_per_s_passing": 1.9816363316061063, "req_per_s_all": 1.9816363316061063, "compliance_rate"...
{}
llm.standard
[]
{ "method": "sigstore-cosign", "certificate": "-----BEGIN CERTIFICATE-----\nMIIHNjCCBrugAwIBAgIUS5XKrXYhs/YCMWrOd7V8GPvd3vowCgYIKoZIzj0EAwMw\nNzEVMBMGA1UEChMMc2lnc3RvcmUuZGV2MR4wHAYDVQQDExVzaWdzdG9yZS1pbnRl\ncm1lZGlhdGUwHhcNMjYwNjEzMTEzOTU2WhcNMjYwNjEzMTE0OTU2WjAAMFkwEwYH\nKoZIzj0CAQYIKoZIzj0DAQcDQgAE11cNTWGviN8CqF...
v1
llm.inference.chatbot-short
1.0.0
019ebf77-7597-7671-a417-726e28e10417
2026-06-13T05:32:17.687700Z
{ "id": "Qwen/Qwen2.5-72B-Instruct", "revision": "unknown00", "provider": "vllm", "endpoint_hash": "0000000000000000000000000000000000000000000000000000000000000000" }
{ "name": "vllm", "version": "0.22.1", "config_hash": "0000000000000000000000000000000000000000000000000000000000000000", "image_digest": "" }
{ "format": "bf16", "method": "" }
{ "fingerprint_sha256": "c353425077b20b36c71d9c32d9e5d49096478f4a0f7d6078c1dfc83c408ccf50", "dmi_uuid": "unknown", "gpus": [ { "model": "NVIDIA H100 80GB HBM3", "pci_id": "00000000:0A:00.0", "serial": "1655223057573", "vbios": "96.00.D0.00.02" }, { "model": "NVIDIA H100 8...
{ "image_digest": "", "pip_freeze_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "git_commit": "0000000000000000000000000000000000000000", "nvidia_smi_q_hash": "38f6f2abfb5eff5cc74f29c536d808b4712442450a76938029a283720e8a9cb0" }
{ "id": "builtin-chatbot-short", "hash": "6f4b1f68fc3a813baa983cbe70cd9ef57f8c86e6b2e6ccc9aaa2a498e588d510" }
42
{}
{ "ttft_p50_ms": 47.83403594046831, "ttft_p99_ms": 85.23758193478018, "tpot_p50_ms": 17.299635779464573, "tpot_p99_ms": 18.755404481033647, "total_p50_ms": 2239.5039470866323, "total_p99_ms": 2352.732985140756, "req_per_s_passing": 7.494939823477021, "req_per_s_all": 7.494939823477021, "compliance_rat...
{}
llm.standard
[]
{ "method": "sigstore-cosign", "certificate": "-----BEGIN CERTIFICATE-----\nMIIHNzCCBr2gAwIBAgIUdfKALbJe3WU5QVxKAOzuUUvCgHowCgYIKoZIzj0EAwMw\nNzEVMBMGA1UEChMMc2lnc3RvcmUuZGV2MR4wHAYDVQQDExVzaWdzdG9yZS1pbnRl\ncm1lZGlhdGUwHhcNMjYwNjEzMTEzOTU1WhcNMjYwNjEzMTE0OTU1WjAAMFkwEwYH\nKoZIzj0CAQYIKoZIzj0DAQcDQgAElooem33bf2cftT...
v1
llm.inference.sharegpt-v3
1.0.0
019ebf79-e413-701e-9f78-f51d447e663f
2026-06-13T05:34:57.043863Z
{ "id": "Qwen/Qwen2.5-72B-Instruct", "revision": "unknown00", "provider": "vllm", "endpoint_hash": "0000000000000000000000000000000000000000000000000000000000000000" }
{ "name": "vllm", "version": "0.22.1", "config_hash": "0000000000000000000000000000000000000000000000000000000000000000", "image_digest": "" }
{ "format": "bf16", "method": "" }
{ "fingerprint_sha256": "c353425077b20b36c71d9c32d9e5d49096478f4a0f7d6078c1dfc83c408ccf50", "dmi_uuid": "unknown", "gpus": [ { "model": "NVIDIA H100 80GB HBM3", "pci_id": "00000000:0A:00.0", "serial": "1655223057573", "vbios": "96.00.D0.00.02" }, { "model": "NVIDIA H100 8...
{ "image_digest": "", "pip_freeze_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "git_commit": "0000000000000000000000000000000000000000", "nvidia_smi_q_hash": "d5e413a98c13b5c5603f114196962bf254176de2257f87339ce905fccf0058d6" }
{ "id": "sharegpt-v3", "hash": "e6e02b2e7cd84474b14e3713525de678e9975b9c27b76e75074c040229dcdd8b" }
42
{}
{ "ttft_p50_ms": 45.9511901717633, "ttft_p99_ms": 55.79234569333494, "tpot_p50_ms": 16.443959343139454, "tpot_p99_ms": 17.06870021823635, "total_p50_ms": 2122.3151329904795, "total_p99_ms": 2166.235302989371, "req_per_s_passing": 1.0613914778386475, "req_per_s_all": 1.0613914778386475, "compliance_rat...
{}
llm.standard
[]
{ "method": "sigstore-cosign", "certificate": "-----BEGIN CERTIFICATE-----\nMIIHNTCCBrygAwIBAgIUK5/gH3bk+sMHFaKtidXtN6VRf5YwCgYIKoZIzj0EAwMw\nNzEVMBMGA1UEChMMc2lnc3RvcmUuZGV2MR4wHAYDVQQDExVzaWdzdG9yZS1pbnRl\ncm1lZGlhdGUwHhcNMjYwNjEzMTEzOTU3WhcNMjYwNjEzMTE0OTU3WjAAMFkwEwYH\nKoZIzj0CAQYIKoZIzj0DAQcDQgAELgCJP4LiutsqWV...

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