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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 9 new columns ({'cohort_year', 'unadjusted_observed_median_days', 'km_standardized_180d_median_days', 'total_cohort_cves', 'observed_fraction_pct', 'observed_exploits_count', 'true_underlying_median_days', 'truncation_distortion_ratio', 'observation_window_days'}) and 10 missing columns ({'total_records', 'rejected_records', 'top10_concentration_pct', 'mitre_published_count', 'distinct_cnas', 'rejected_rate_pct', 'hhi', 'year', 'mitre_direct_share_pct', 'published_records'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Jun33550336/biological-time-inequality-framework-metadata/replication/results/task_b_survival_truncation_audit.csv (at revision 45666f61b11df79aa609af43b3a70ef89fde37d6), ['hf://datasets/Jun33550336/biological-time-inequality-framework-metadata@45666f61b11df79aa609af43b3a70ef89fde37d6/replication/results/task_a_cna_census_28_years.csv', 'hf://datasets/Jun33550336/biological-time-inequality-framework-metadata@45666f61b11df79aa609af43b3a70ef89fde37d6/replication/results/task_b_survival_truncation_audit.csv', 'hf://datasets/Jun33550336/biological-time-inequality-framework-metadata@45666f61b11df79aa609af43b3a70ef89fde37d6/replication/results/task_c_ai_floor_candidates.csv', 'hf://datasets/Jun33550336/biological-time-inequality-framework-metadata@45666f61b11df79aa609af43b3a70ef89fde37d6/replication/results/task_d_remediation_vs_bod_26_04.csv', 'hf://datasets/Jun33550336/biological-time-inequality-framework-metadata@45666f61b11df79aa609af43b3a70ef89fde37d6/replication/results/task_e_housing_null_case_econometrics.csv']
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/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
cohort_year: int64
observation_window_days: int64
total_cohort_cves: int64
observed_exploits_count: int64
observed_fraction_pct: double
true_underlying_median_days: double
unadjusted_observed_median_days: double
km_standardized_180d_median_days: double
truncation_distortion_ratio: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1594
to
{'year': Value('int64'), 'total_records': Value('int64'), 'published_records': Value('int64'), 'rejected_records': Value('int64'), 'rejected_rate_pct': Value('float64'), 'distinct_cnas': Value('int64'), 'mitre_published_count': Value('int64'), 'mitre_direct_share_pct': Value('float64'), 'top10_concentration_pct': Value('float64'), 'hhi': Value('float64')}
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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 9 new columns ({'cohort_year', 'unadjusted_observed_median_days', 'km_standardized_180d_median_days', 'total_cohort_cves', 'observed_fraction_pct', 'observed_exploits_count', 'true_underlying_median_days', 'truncation_distortion_ratio', 'observation_window_days'}) and 10 missing columns ({'total_records', 'rejected_records', 'top10_concentration_pct', 'mitre_published_count', 'distinct_cnas', 'rejected_rate_pct', 'hhi', 'year', 'mitre_direct_share_pct', 'published_records'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Jun33550336/biological-time-inequality-framework-metadata/replication/results/task_b_survival_truncation_audit.csv (at revision 45666f61b11df79aa609af43b3a70ef89fde37d6), ['hf://datasets/Jun33550336/biological-time-inequality-framework-metadata@45666f61b11df79aa609af43b3a70ef89fde37d6/replication/results/task_a_cna_census_28_years.csv', 'hf://datasets/Jun33550336/biological-time-inequality-framework-metadata@45666f61b11df79aa609af43b3a70ef89fde37d6/replication/results/task_b_survival_truncation_audit.csv', 'hf://datasets/Jun33550336/biological-time-inequality-framework-metadata@45666f61b11df79aa609af43b3a70ef89fde37d6/replication/results/task_c_ai_floor_candidates.csv', 'hf://datasets/Jun33550336/biological-time-inequality-framework-metadata@45666f61b11df79aa609af43b3a70ef89fde37d6/replication/results/task_d_remediation_vs_bod_26_04.csv', 'hf://datasets/Jun33550336/biological-time-inequality-framework-metadata@45666f61b11df79aa609af43b3a70ef89fde37d6/replication/results/task_e_housing_null_case_econometrics.csv']
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.
year int64 | total_records int64 | published_records int64 | rejected_records int64 | rejected_rate_pct float64 | distinct_cnas int64 | mitre_published_count int64 | mitre_direct_share_pct float64 | top10_concentration_pct float64 | hhi float64 |
|---|---|---|---|---|---|---|---|---|---|
1,999 | 1,579 | 1,540 | 39 | 2.47 | 1 | 1,540 | 100 | 100 | 10,000 |
2,000 | 1,243 | 1,236 | 7 | 0.56 | 1 | 1,236 | 100 | 100 | 10,000 |
2,001 | 1,556 | 1,537 | 19 | 1.22 | 1 | 1,537 | 100 | 100 | 10,000 |
2,002 | 2,393 | 2,357 | 36 | 1.5 | 2 | 2,353 | 99.83 | 100 | 9,966.12 |
2,003 | 1,555 | 1,504 | 51 | 3.28 | 4 | 1,494 | 99.34 | 100 | 9,867.67 |
2,004 | 2,707 | 2,644 | 63 | 2.33 | 3 | 2,639 | 99.81 | 100 | 9,962.24 |
2,005 | 4,770 | 4,627 | 143 | 3 | 9 | 4,178 | 90.3 | 100 | 8,192.1 |
2,006 | 7,145 | 6,995 | 150 | 2.1 | 12 | 6,447 | 92.17 | 99.97 | 8,513.87 |
2,007 | 6,580 | 6,458 | 122 | 1.85 | 10 | 5,960 | 92.29 | 100 | 8,535.95 |
2,008 | 7,179 | 7,005 | 174 | 2.42 | 12 | 6,330 | 90.36 | 99.97 | 8,188.69 |
2,009 | 5,054 | 4,921 | 133 | 2.63 | 18 | 4,057 | 82.44 | 99.63 | 6,868.03 |
2,010 | 5,249 | 5,074 | 175 | 3.33 | 20 | 2,944 | 58.02 | 97.97 | 3,653.62 |
2,011 | 4,899 | 4,646 | 253 | 5.16 | 22 | 2,034 | 43.78 | 95.31 | 2,428.19 |
2,012 | 5,939 | 5,488 | 451 | 7.59 | 23 | 1,941 | 35.37 | 91.27 | 1,954.68 |
2,013 | 6,830 | 6,221 | 609 | 8.92 | 28 | 1,799 | 28.92 | 87.08 | 1,487.94 |
2,014 | 9,002 | 8,427 | 575 | 6.39 | 30 | 3,061 | 36.32 | 88.19 | 1,826.6 |
2,015 | 8,779 | 8,111 | 668 | 7.61 | 37 | 2,802 | 34.55 | 83.73 | 1,515.07 |
2,016 | 10,647 | 9,367 | 1,280 | 12.02 | 53 | 2,696 | 28.78 | 77.92 | 1,151.02 |
2,017 | 17,105 | 14,762 | 2,343 | 13.7 | 83 | 6,214 | 42.09 | 74.12 | 1,925.75 |
2,018 | 17,817 | 16,188 | 1,629 | 9.14 | 92 | 7,999 | 49.41 | 75.63 | 2,548.31 |
2,019 | 17,623 | 16,096 | 1,527 | 8.66 | 107 | 6,677 | 41.48 | 71.81 | 1,854.04 |
2,020 | 21,074 | 19,391 | 1,683 | 7.99 | 137 | 7,362 | 37.97 | 66.72 | 1,578.15 |
2,021 | 23,461 | 22,595 | 866 | 3.69 | 177 | 6,066 | 26.85 | 56.78 | 870.34 |
2,022 | 27,538 | 26,433 | 1,105 | 4.01 | 213 | 6,715 | 25.4 | 57.98 | 832.34 |
2,023 | 31,401 | 30,607 | 794 | 2.53 | 266 | 5,875 | 19.19 | 57.27 | 600.79 |
2,024 | 39,232 | 38,444 | 788 | 2.01 | 311 | 6,137 | 15.96 | 67.28 | 671.41 |
2,025 | 45,209 | 43,426 | 1,783 | 3.94 | 368 | 4,762 | 10.97 | 69.13 | 758.76 |
2,026 | 51,958 | 51,151 | 807 | 1.55 | 350 | 1,811 | 3.54 | 69.84 | 674.3 |
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The Architecture of Biological Stratification (Metadata & Quantitative Framework)
Till Death Tear Us Apart: The Biological Time Inequality Framework
Author: Gia Bao Huynh (Jun)
ORCID: 0009-0008-2372-5852
Affiliation: Independent Scholar / Arizona State University
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Abstract
This research programme investigates the collapse of the Mortality Symmetry Axiom (MSA) — the historical condition where universal mortality functioned as the unstated, load-bearing dam of political legitimacy, distributive justice, and institutional design.
4-Volume Structure:
- Volume I (Mortality): Mortality: Symmetric, Fairness, and the Arrival of Longevity Biotechnology
- Volume II (Ethics): Kept by Name: Attachment, Loss, and Why a Preventable Death Becomes a Political Fact
- Volume III (Politics): The Body That Cannot Abdicate: Political Legitimacy and the Governance of a Good No Power Has Previously Had to Govern
- Volume IV (Economics): No Whisperer in the Room: Capital, Discovery, and a Market Governing a Good Nobody Authorized It to Govern
Core Theoretical Models:
- ALRP (ARSI-Longevity Resonance Paradox): Formal workload queueing model of non-converging health innovation.
- BZM (Biological Zero-Day Reset): Compound Poisson jumps in biological age deceleration.
- Symbol-Body Fusion & Primal Pain of Loss (A5): Existential moral injury when power resides in visibly non-aging bodies.
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