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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 27 new columns ({'smart_expert_reduction', 'n_predict', 'quality_flag', 'timestamp', 'pp_tps', 'total_ms', 'cache_type_k', 'env_ser_cheap_thresh', 'batch_size', 'exit_code', 'cache_type_v', 'ctx_size', 'id', 'peak_rss_gib', 'threads', 'env_ser_cheap_ranges', 'temp', 'ignore_eos', 'prompt_key', 'source', 'page_faults', 'swaps', 'flash_attn', 'lane', 'ubatch_size', 'threads_batch', 'env_ser_cheap_min'}) and 2 missing columns ({'kind', 'evidence'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Shack870/qwen-air-qpu-mcp-lab/paper/data/public_runs.csv (at revision b8b322000ddd2af4a2a8275621567a753fa6bd8f), [/tmp/hf-datasets-cache/medium/datasets/56913512743499-config-parquet-and-info-Shack870-qwen-air-qpu-mcp-e5b472ef/hub/datasets--Shack870--qwen-air-qpu-mcp-lab/snapshots/b8b322000ddd2af4a2a8275621567a753fa6bd8f/paper/data/milestones.csv (origin=hf://datasets/Shack870/qwen-air-qpu-mcp-lab@b8b322000ddd2af4a2a8275621567a753fa6bd8f/paper/data/milestones.csv), /tmp/hf-datasets-cache/medium/datasets/56913512743499-config-parquet-and-info-Shack870-qwen-air-qpu-mcp-e5b472ef/hub/datasets--Shack870--qwen-air-qpu-mcp-lab/snapshots/b8b322000ddd2af4a2a8275621567a753fa6bd8f/paper/data/public_runs.csv (origin=hf://datasets/Shack870/qwen-air-qpu-mcp-lab@b8b322000ddd2af4a2a8275621567a753fa6bd8f/paper/data/public_runs.csv), /tmp/hf-datasets-cache/medium/datasets/56913512743499-config-parquet-and-info-Shack870-qwen-air-qpu-mcp-e5b472ef/hub/datasets--Shack870--qwen-air-qpu-mcp-lab/snapshots/b8b322000ddd2af4a2a8275621567a753fa6bd8f/paper/data/selected_runs.csv (origin=hf://datasets/Shack870/qwen-air-qpu-mcp-lab@b8b322000ddd2af4a2a8275621567a753fa6bd8f/paper/data/selected_runs.csv), /tmp/hf-datasets-cache/medium/datasets/56913512743499-config-parquet-and-info-Shack870-qwen-air-qpu-mcp-e5b472ef/hub/datasets--Shack870--qwen-air-qpu-mcp-lab/snapshots/b8b322000ddd2af4a2a8275621567a753fa6bd8f/paper/data/source_summary_top30.csv (origin=hf://datasets/Shack870/qwen-air-qpu-mcp-lab@b8b322000ddd2af4a2a8275621567a753fa6bd8f/paper/data/source_summary_top30.csv), /tmp/hf-datasets-cache/medium/datasets/56913512743499-config-parquet-and-info-Shack870-qwen-air-qpu-mcp-e5b472ef/hub/datasets--Shack870--qwen-air-qpu-mcp-lab/snapshots/b8b322000ddd2af4a2a8275621567a753fa6bd8f/release/qwen-air-qpu-mcp-lab-v0.1-preprint.zip (origin=hf://datasets/Shack870/qwen-air-qpu-mcp-lab@b8b322000ddd2af4a2a8275621567a753fa6bd8f/release/qwen-air-qpu-mcp-lab-v0.1-preprint.zip)]

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/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: int64
              timestamp: string
              source: string
              label: string
              exit_code: int64
              gen_tps: double
              pp_tps: double
              total_ms: double
              ctx_size: double
              batch_size: double
              ubatch_size: double
              threads: double
              threads_batch: double
              cache_type_k: string
              cache_type_v: string
              flash_attn: bool
              smart_expert_reduction: string
              env_ser_cheap_ranges: string
              env_ser_cheap_min: double
              env_ser_cheap_thresh: double
              n_predict: double
              temp: double
              ignore_eos: bool
              quality_flag: string
              peak_rss_gib: double
              page_faults: double
              swaps: double
              prompt_key: string
              lane: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3747
              to
              {'label': Value('string'), 'gen_tps': Value('float64'), 'kind': Value('string'), 'evidence': Value('string')}
              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 1348, 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 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, 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 1802, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              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 27 new columns ({'smart_expert_reduction', 'n_predict', 'quality_flag', 'timestamp', 'pp_tps', 'total_ms', 'cache_type_k', 'env_ser_cheap_thresh', 'batch_size', 'exit_code', 'cache_type_v', 'ctx_size', 'id', 'peak_rss_gib', 'threads', 'env_ser_cheap_ranges', 'temp', 'ignore_eos', 'prompt_key', 'source', 'page_faults', 'swaps', 'flash_attn', 'lane', 'ubatch_size', 'threads_batch', 'env_ser_cheap_min'}) and 2 missing columns ({'kind', 'evidence'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Shack870/qwen-air-qpu-mcp-lab/paper/data/public_runs.csv (at revision b8b322000ddd2af4a2a8275621567a753fa6bd8f), [/tmp/hf-datasets-cache/medium/datasets/56913512743499-config-parquet-and-info-Shack870-qwen-air-qpu-mcp-e5b472ef/hub/datasets--Shack870--qwen-air-qpu-mcp-lab/snapshots/b8b322000ddd2af4a2a8275621567a753fa6bd8f/paper/data/milestones.csv (origin=hf://datasets/Shack870/qwen-air-qpu-mcp-lab@b8b322000ddd2af4a2a8275621567a753fa6bd8f/paper/data/milestones.csv), /tmp/hf-datasets-cache/medium/datasets/56913512743499-config-parquet-and-info-Shack870-qwen-air-qpu-mcp-e5b472ef/hub/datasets--Shack870--qwen-air-qpu-mcp-lab/snapshots/b8b322000ddd2af4a2a8275621567a753fa6bd8f/paper/data/public_runs.csv (origin=hf://datasets/Shack870/qwen-air-qpu-mcp-lab@b8b322000ddd2af4a2a8275621567a753fa6bd8f/paper/data/public_runs.csv), /tmp/hf-datasets-cache/medium/datasets/56913512743499-config-parquet-and-info-Shack870-qwen-air-qpu-mcp-e5b472ef/hub/datasets--Shack870--qwen-air-qpu-mcp-lab/snapshots/b8b322000ddd2af4a2a8275621567a753fa6bd8f/paper/data/selected_runs.csv (origin=hf://datasets/Shack870/qwen-air-qpu-mcp-lab@b8b322000ddd2af4a2a8275621567a753fa6bd8f/paper/data/selected_runs.csv), /tmp/hf-datasets-cache/medium/datasets/56913512743499-config-parquet-and-info-Shack870-qwen-air-qpu-mcp-e5b472ef/hub/datasets--Shack870--qwen-air-qpu-mcp-lab/snapshots/b8b322000ddd2af4a2a8275621567a753fa6bd8f/paper/data/source_summary_top30.csv (origin=hf://datasets/Shack870/qwen-air-qpu-mcp-lab@b8b322000ddd2af4a2a8275621567a753fa6bd8f/paper/data/source_summary_top30.csv), /tmp/hf-datasets-cache/medium/datasets/56913512743499-config-parquet-and-info-Shack870-qwen-air-qpu-mcp-e5b472ef/hub/datasets--Shack870--qwen-air-qpu-mcp-lab/snapshots/b8b322000ddd2af4a2a8275621567a753fa6bd8f/release/qwen-air-qpu-mcp-lab-v0.1-preprint.zip (origin=hf://datasets/Shack870/qwen-air-qpu-mcp-lab@b8b322000ddd2af4a2a8275621567a753fa6bd8f/release/qwen-air-qpu-mcp-lab-v0.1-preprint.zip)]
              
              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.

label
string
gen_tps
float64
kind
string
evidence
string
Out-of-box
0.09
baseline
lab notebook
Early stable
2.4
manual
lab notebook
Manual frontier
6.49
manual
lab notebook
Pi 5 report
7.5
external
Reddit 7-8 t/s midpoint
QPU boom
13.12
quantum
run 635
Clean-room
13.91
record
codex-off scoreboard
Strict Mars
14.03
record
run 1490
Corrupted edge
16.53
unsafe
run 814
routerclamp_speed_raw_b2304_ub104_ser1_5
16.53
null
null
routerclamp_speed_raw_b2304_ub104_ser1_1
16.48
null
null
routerclamp_speed_raw_b2304_ub104_ser1_6
16.47
null
null
speed_safe_ser1_8_r2
16.45
null
null
routerclamp_speed_raw_b2304_ub104_ser1_3
16.42
null
null
routerclamp_speed_raw_b2304_ub104_ser1_4
16.4
null
null
focus_np2_b2560_ub96_ser1_4
16.37
null
null
focus_raw_b2368_ub96_ser1_5
16.34
null
null
focus_np2_b2560_ub96_ser1_5
16.27
null
null
focus_raw_b2304_ub104_ser1_4
16.22
null
null
focus_raw_b2304_ub104_ser1_3
16.09
null
null
focus_raw_b2304_ub104_ser1_1
15.87
null
null
top1_rescue_mid24_30_late47_b2456_ub144
15.63
null
null
routerclamp_speed_raw_b2304_ub104_ser1_2
15.26
null
null
top1_rescue_mid24_30_b2456_ub144
15.25
null
null
top1_rescue_mid24_30_late42_48_b2456_ub144
15.15
null
null
top1_rescue_mid24_30_late36_48_b2456_ub144
14.57
null
null
focus_raw_b2304_ub104_ser1_5
14.35
null
null
top1_rescue_mid24_30_top2early0_6_b2456_ub144
14.19
null
null
top1_rescue_early0_6_mid24_30_late40_48_b2456_ub144
14.13
null
null
top1_rescue_diffuse6_21_mid24_30_b2456_ub144
14.13
null
null
near_b2456_ub144
14.03
null
null
near_b2464_ub148
14
null
null
near_b2464_ub140
14
null
null
recovery_b2304_ub144_r1
14
null
null
cheap24_raw_b2496_ub128
14
null
null
climb_b2456_ub146
13.99
null
null
tg_b2320_ub144
13.99
null
null
cheap24_raw_b2304_ub144
13.99
null
null
lottery_b2456_ub146_r2
13.98
null
null
hot_b2456_ub146_ckpti0
13.98
null
null
micro_b2460_ub148
13.98
null
null
cheap24_record_b2560_ub128
13.98
null
null
overlay_ckpt_interval0_b2456_ub146
13.97
null
null
attack_b2464_ub144
13.97
null
null
edge_b2560_ub128
13.97
null
null
lottery_b2320_ub144_r1
13.96
null
null
near_b2480_ub144
13.96
null
null
attack_b2304_ub144_r1
13.96
null
null
tg_b2288_ub144
13.96
null
null
edge_repeat_b2496_ub128
13.96
null
null
cheap24_record_b2560_ub120
13.96
null
null
ridge_b2460_ub144
13.95
null
null
cheap24_record_b2464_ub144
13.95
null
null
cheap24_raw_b2240_ub128
13.95
null
null
low_b2344_ub144
13.94
null
null
overlay_amb768_b2456_ub146
13.94
null
null
recovery_b2496_ub136_r1
13.94
null
null
cheap24_record_b2464_ub136
13.94
null
null
cheap24_record_b2464_ub120
13.94
null
null
routerclamp_speed_raw_b2304_ub104_ser1_7
13.94
null
null
tp_t2_l2
13.93
null
null
hot_exact_b2456_ub144_2
13.93
null
null
overlay_ckpt0_b2456_ub146
13.93
null
null
ridge_b2468_ub144
13.93
null
null
near_b2304_ub144_control
13.93
null
null
edge_nocb_amb512
13.93
null
null
attack_b2496_ub128_r1
13.92
null
null
cheap24_record_b2560_ub136
13.92
null
null
low_b2328_ub146
13.91
null
null
lottery_b2464_ub148_r1
13.91
null
null
hot_exact_b2456_ub144_1
13.91
null
null
overlay_amb512_b2456_ub146
13.91
null
null
attack_b2312_ub144
13.91
null
null
recovery_b2560_ub128_r1
13.91
null
null
edge_nocb
13.91
null
null
cheap24_record_b2528_ub120
13.91
null
null
low_b2328_ub144
13.9
null
null
edge_amb768
13.9
null
null
edge_amb256
13.9
null
null
cheap24_raw_b2368_ub128
13.9
null
null
upqubo_b2304_ub128_raw_q6
13.9
null
null
moonshot_aggregate_np2_b2560_ub96
13.9
null
null
climb_b2464_ub152
13.89
null
null
climb_b2460_ub148
13.89
null
null
cheap24_record_b2528_ub136
13.89
null
null
lottery_b2560_ub128_r1
13.88
null
null
hot_b2456_ub146
13.88
null
null
attack_b2496_ub136
13.88
null
null
tg_b2272_ub144
13.88
null
null
moonshot_aggregate_np8_b2304_ub96
13.88
null
null
hot_b2464_ub148
13.87
null
null
climb_b2460_ub146
13.87
null
null
cheap24_record_b2496_ub144
13.87
null
null
moonshot_aggregate_np4_b2304_ub96
13.87
null
null
tp_app_policy
13.86
null
null
tp_t1_l1
13.86
null
null
near_b2464_ub144_r1
13.86
null
null
cheap24_record_b2464_ub128
13.86
null
null
cheap24_raw_b2304_ub120
13.86
null
null
lottery_b2464_ub140_r1
13.85
null
null
overlay_nocb_b2456_ub146
13.85
null
null
End of preview.

Qwen Air QPU/MCP Lab Dataset

This dataset repository mirrors the public artifacts for the Qwen Air QPU/MCP Lab: a CPU-only Qwen3 MoE inference optimization project on a 2017 Intel MacBook Air with 8GB RAM.

The headline result is a quality-gated improvement from about 0.09 to 14.03 generation tokens/sec on Qwen3-30B-A3B-Instruct-2507-GGUF at 16,384 context, using a synchronized Codex-driven, IBM Quantum-informed autoresearch loop.

The QPU did not run Qwen. IBM Quantum sampled compact QUBO candidate spaces inside the research loop; the MacBook judged each candidate through real local llama.cpp inference.

Included Artifacts

  • paper/quantum_enhanced_legacy_moe_inference.md - paper source
  • paper/quantum_enhanced_legacy_moe_inference.pdf - generated preprint PDF
  • paper/arxiv/quantum_enhanced_legacy_moe_inference_arxiv.pdf - arXiv-style submission PDF
  • paper/data/qpu_lab_public.sqlite - sanitized public SQLite benchmark and QPU job database
  • paper/data/public_runs.csv - sanitized public run log
  • paper/figures/*.svg - generated figures
  • docs/REPRODUCIBILITY.md - validation protocol
  • docs/COMMUNITY_VALIDATION.md - community benchmark reporting guide
  • docs/HUGGINGFACE_BLOG_DRAFT.md - public blog draft
  • docs/PRESS_KIT.md - press and launch kit
  • release/qwen-air-qpu-mcp-lab-v0.1-preprint.zip - packaged release archive

Links

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