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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
split: string
total_records: int64
errors: int64
missing_client_records: int64
num_instances: int64
num_qps_levels: int64
instance_distribution: struct<instance_17: int64, instance_14: int64, instance_13: int64, instance_16: int64, instance_15:  (... 256 chars omitted)
  child 0, instance_17: int64
  child 1, instance_14: int64
  child 2, instance_13: int64
  child 3, instance_16: int64
  child 4, instance_15: int64
  child 5, instance_2: int64
  child 6, instance_4: int64
  child 7, instance_3: int64
  child 8, instance_8: int64
  child 9, instance_5: int64
  child 10, instance_10: int64
  child 11, instance_12: int64
  child 12, instance_6: int64
  child 13, instance_9: int64
  child 14, instance_7: int64
  child 15, instance_11: int64
  child 16, instance_1: int64
  child 17, instance_0: int64
qps_distribution: struct<9: int64, 12: int64, 15: int64, 18: int64, 21: int64, 24: int64, 27: int64, 30: int64, 33: in (... 15 chars omitted)
  child 0, 9: int64
  child 1, 12: int64
  child 2, 15: int64
  child 3, 18: int64
  child 4, 21: int64
  child 5, 24: int64
  child 6, 27: int64
  child 7, 30: int64
  child 8, 33: int64
  child 9, 36: int64
pending_prefill_tokens: int64
max_num_seqs: int64
total_pending_tokens: int64
instance_id: string
kv_free_blocks: int64
decode_ctx_max: double
running_requests_count: int64
actual_e2e_latency: double
num_preempted: int64
kv_cache_utilization: double
num_active_decode_seqs: int64
ema_decode_tok_per_s: double
waiting_requests_count: int64
decode_ctx_p50: double
token_budget_per_iter: int64
probe_latency_ms: double
sweep: int64
queue_depth: int64
num_prompt_tokens: int64
qps_level: int64
ema_prefill_tok_per_s: double
actual_output_tokens: int64
ema_decode_iter_ms: double
decode_ctx_p95: double
completion_timestamp: double
prefill_chunk_size: int64
pending_decode_tokens: int64
num_waiting: int64
prediction_timestamp: double
num_running: int64
request_id: string
prediction_latency_ms: double
actual_tpot: double
actual_ttft: double
kv_evictions_per_s: double
to
{'request_id': Value('string'), 'instance_id': Value('string'), 'sweep': Value('int64'), 'qps_level': Value('int64'), 'num_prompt_tokens': Value('int64'), 'actual_output_tokens': Value('int64'), 'num_running': Value('int64'), 'num_waiting': Value('int64'), 'num_active_decode_seqs': Value('int64'), 'decode_ctx_p50': Value('float64'), 'decode_ctx_p95': Value('float64'), 'decode_ctx_max': Value('float64'), 'pending_prefill_tokens': Value('int64'), 'pending_decode_tokens': Value('int64'), 'kv_cache_utilization': Value('float64'), 'kv_free_blocks': Value('int64'), 'token_budget_per_iter': Value('int64'), 'prefill_chunk_size': Value('int64'), 'max_num_seqs': Value('int64'), 'num_preempted': Value('int64'), 'ema_decode_tok_per_s': Value('float64'), 'ema_prefill_tok_per_s': Value('float64'), 'ema_decode_iter_ms': Value('float64'), 'kv_evictions_per_s': Value('float64'), 'running_requests_count': Value('int64'), 'waiting_requests_count': Value('int64'), 'total_pending_tokens': Value('int64'), 'queue_depth': Value('int64'), 'probe_latency_ms': Value('float64'), 'prediction_latency_ms': Value('float64'), 'prediction_timestamp': Value('float64'), 'completion_timestamp': Value('float64'), 'actual_e2e_latency': Value('float64'), 'actual_ttft': Value('float64'), 'actual_tpot': Value('float64')}
because column names don't match
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 260, 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 120, 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 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              split: string
              total_records: int64
              errors: int64
              missing_client_records: int64
              num_instances: int64
              num_qps_levels: int64
              instance_distribution: struct<instance_17: int64, instance_14: int64, instance_13: int64, instance_16: int64, instance_15:  (... 256 chars omitted)
                child 0, instance_17: int64
                child 1, instance_14: int64
                child 2, instance_13: int64
                child 3, instance_16: int64
                child 4, instance_15: int64
                child 5, instance_2: int64
                child 6, instance_4: int64
                child 7, instance_3: int64
                child 8, instance_8: int64
                child 9, instance_5: int64
                child 10, instance_10: int64
                child 11, instance_12: int64
                child 12, instance_6: int64
                child 13, instance_9: int64
                child 14, instance_7: int64
                child 15, instance_11: int64
                child 16, instance_1: int64
                child 17, instance_0: int64
              qps_distribution: struct<9: int64, 12: int64, 15: int64, 18: int64, 21: int64, 24: int64, 27: int64, 30: int64, 33: in (... 15 chars omitted)
                child 0, 9: int64
                child 1, 12: int64
                child 2, 15: int64
                child 3, 18: int64
                child 4, 21: int64
                child 5, 24: int64
                child 6, 27: int64
                child 7, 30: int64
                child 8, 33: int64
                child 9, 36: int64
              pending_prefill_tokens: int64
              max_num_seqs: int64
              total_pending_tokens: int64
              instance_id: string
              kv_free_blocks: int64
              decode_ctx_max: double
              running_requests_count: int64
              actual_e2e_latency: double
              num_preempted: int64
              kv_cache_utilization: double
              num_active_decode_seqs: int64
              ema_decode_tok_per_s: double
              waiting_requests_count: int64
              decode_ctx_p50: double
              token_budget_per_iter: int64
              probe_latency_ms: double
              sweep: int64
              queue_depth: int64
              num_prompt_tokens: int64
              qps_level: int64
              ema_prefill_tok_per_s: double
              actual_output_tokens: int64
              ema_decode_iter_ms: double
              decode_ctx_p95: double
              completion_timestamp: double
              prefill_chunk_size: int64
              pending_decode_tokens: int64
              num_waiting: int64
              prediction_timestamp: double
              num_running: int64
              request_id: string
              prediction_latency_ms: double
              actual_tpot: double
              actual_ttft: double
              kv_evictions_per_s: double
              to
              {'request_id': Value('string'), 'instance_id': Value('string'), 'sweep': Value('int64'), 'qps_level': Value('int64'), 'num_prompt_tokens': Value('int64'), 'actual_output_tokens': Value('int64'), 'num_running': Value('int64'), 'num_waiting': Value('int64'), 'num_active_decode_seqs': Value('int64'), 'decode_ctx_p50': Value('float64'), 'decode_ctx_p95': Value('float64'), 'decode_ctx_max': Value('float64'), 'pending_prefill_tokens': Value('int64'), 'pending_decode_tokens': Value('int64'), 'kv_cache_utilization': Value('float64'), 'kv_free_blocks': Value('int64'), 'token_budget_per_iter': Value('int64'), 'prefill_chunk_size': Value('int64'), 'max_num_seqs': Value('int64'), 'num_preempted': Value('int64'), 'ema_decode_tok_per_s': Value('float64'), 'ema_prefill_tok_per_s': Value('float64'), 'ema_decode_iter_ms': Value('float64'), 'kv_evictions_per_s': Value('float64'), 'running_requests_count': Value('int64'), 'waiting_requests_count': Value('int64'), 'total_pending_tokens': Value('int64'), 'queue_depth': Value('int64'), 'probe_latency_ms': Value('float64'), 'prediction_latency_ms': Value('float64'), 'prediction_timestamp': Value('float64'), 'completion_timestamp': Value('float64'), 'actual_e2e_latency': Value('float64'), 'actual_ttft': Value('float64'), 'actual_tpot': Value('float64')}
              because column names don't match
              
              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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request_id
string
instance_id
string
sweep
int64
qps_level
int64
num_prompt_tokens
int64
actual_output_tokens
int64
num_running
int64
num_waiting
int64
num_active_decode_seqs
int64
decode_ctx_p50
float64
decode_ctx_p95
float64
decode_ctx_max
float64
pending_prefill_tokens
int64
pending_decode_tokens
int64
kv_cache_utilization
float64
kv_free_blocks
int64
token_budget_per_iter
int64
prefill_chunk_size
int64
max_num_seqs
int64
num_preempted
int64
ema_decode_tok_per_s
float64
ema_prefill_tok_per_s
float64
ema_decode_iter_ms
float64
kv_evictions_per_s
float64
running_requests_count
int64
waiting_requests_count
int64
total_pending_tokens
int64
queue_depth
int64
probe_latency_ms
float64
prediction_latency_ms
float64
prediction_timestamp
float64
completion_timestamp
float64
actual_e2e_latency
float64
actual_ttft
float64
actual_tpot
float64
e7771e66-6159-4ccf-94b2-648e39d49c02
instance_17
1
12
93
29
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6,269
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11.81484
473.093594
86.074147
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8.638832
9.803796
1,773,572,768.361819
1,773,572,769.283214
0.86765
0.146425
0.025703
38853313-ca24-40ec-b7f3-6cae12a29027
instance_17
1
12
131
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6,269
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14.524007
489.298118
80.036995
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19.715697
21.096882
1,773,572,769.301816
1,773,572,771.409668
2.048462
0.141852
0.025759
1cea294a-7a62-4529-88f4-a4bf53ef1ee5
instance_17
1
12
38
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6,269
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16.953809
532.717826
74.609153
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8.862398
10.006292
1,773,572,773.025368
1,773,572,773.901962
0.809091
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0.02552
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instance_17
1
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194
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19.176935
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instance_17
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18.430815
530.249867
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0
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1
15.863544
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1,773,572,776.102468
1,773,572,778.008613
1.850311
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fd1e7367-150c-4259-aaf1-0d625a0c18ad
instance_17
1
12
88
93
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6,246
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18.430815
530.249867
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2
84.059357
85.656888
1,773,572,777.647442
1,773,572,785.913623
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instance_17
1
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instance_17
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instance_17
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instance_17
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instance_17
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instance_17
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instance_17
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instance_17
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instance_17
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6,171
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0
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91.881393
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instance_17
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instance_17
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instance_17
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519.15483
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6
18.517289
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1,773,572,863.671874
35.025905
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instance_17
1
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6,174
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13.796406
565.714456
82.519874
0
7
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52.922759
54.161256
1,773,572,834.86449
1,773,572,865.784672
30.879837
0.140123
0.089619
c6b7ce90-e2aa-4f0f-94e3-75b7603c352d
instance_17
1
12
332
4
5
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6,114
0
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12.19273
436.709736
87.475198
0
5
0
0
5
17.874259
19.353155
1,773,572,866.834546
1,773,572,867.516575
0.620161
0.354137
0.088592
3d2d14a8-e702-4f06-829e-4c1cc8e20360
instance_17
1
12
32
784
3
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6,219
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16.13206
523.576515
76.154691
0
3
0
0
3
67.363205
68.53056
1,773,572,804.96089
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End of preview.