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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 6 new columns ({'second_apron', 'source_status', 'salary_cap', 'luxury_tax_line', 'first_apron', 'notes'}) and 3 missing columns ({'assumption', 'projected_salary_cap_max_10pct_growth', 'source'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026/cap_tax_aprons.csv (at revision 1d800af535496a501e708db3658c9499add5802b), ['hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/cap_projections.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/cap_tax_aprons.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/champion_payrolls.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/figures_to_reverify.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/french_players.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/max_salaries.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/min_salaries.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/payroll_by_roster_rank.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/payrolls.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/player_salaries.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/rookie_scale.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/salary_benchmarks.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/team_payrolls.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/top_contracts.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/two_way.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 1837, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              season_year: int64
              season: string
              salary_cap: int64
              luxury_tax_line: int64
              first_apron: int64
              second_apron: double
              source_status: string
              notes: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1233
              to
              {'season_year': Value('int64'), 'season': Value('string'), 'projected_salary_cap_max_10pct_growth': Value('int64'), 'assumption': Value('string'), 'source': 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 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 1683, 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 1839, 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 6 new columns ({'second_apron', 'source_status', 'salary_cap', 'luxury_tax_line', 'first_apron', 'notes'}) and 3 missing columns ({'assumption', 'projected_salary_cap_max_10pct_growth', 'source'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026/cap_tax_aprons.csv (at revision 1d800af535496a501e708db3658c9499add5802b), ['hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/cap_projections.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/cap_tax_aprons.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/champion_payrolls.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/figures_to_reverify.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/french_players.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/max_salaries.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/min_salaries.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/payroll_by_roster_rank.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/payrolls.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/player_salaries.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/rookie_scale.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/salary_benchmarks.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/team_payrolls.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/top_contracts.csv', 'hf://datasets/Mr-Bridge/nba-salary-cap-contracts-2016-2026@1d800af535496a501e708db3658c9499add5802b/two_way.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.

season_year
int64
season
string
projected_salary_cap_max_10pct_growth
int64
assumption
string
source
string
2,027
2027-28
181,457,100
Mechanical upper path under 10% annual cap-smoothing ceiling, not a league forecast
2023 NBA/NBPA CBA smoothing rule; 2025 media-rights context
2,028
2028-29
199,602,810
Mechanical upper path under 10% annual cap-smoothing ceiling, not a league forecast
2023 NBA/NBPA CBA smoothing rule; 2025 media-rights context
2,029
2029-30
219,563,091
Mechanical upper path under 10% annual cap-smoothing ceiling, not a league forecast
2023 NBA/NBPA CBA smoothing rule; 2025 media-rights context
2,030
2030-31
241,519,400
Mechanical upper path under 10% annual cap-smoothing ceiling, not a league forecast
2023 NBA/NBPA CBA smoothing rule; 2025 media-rights context
2,031
2031-32
265,671,340
Mechanical upper path under 10% annual cap-smoothing ceiling, not a league forecast
2023 NBA/NBPA CBA smoothing rule; 2025 media-rights context
2,015
2015-16
null
null
null
2,016
2016-17
null
null
null
2,017
2017-18
null
null
null
2,018
2018-19
null
null
null
2,019
2019-20
null
null
null
2,020
2020-21
null
null
null
2,021
2021-22
null
null
null
2,022
2022-23
null
null
null
2,023
2023-24
null
null
null
2,024
2024-25
null
null
null
2,025
2025-26
null
null
null
2,026
2026-27
null
null
null
2,015
2015-16
null
null
NBA Finals 2016; payroll computed from HoopsHype player salaries
2,016
2016-17
null
null
NBA Finals 2017; payroll computed from HoopsHype player salaries
2,017
2017-18
null
null
NBA Finals 2018; payroll computed from HoopsHype player salaries
2,018
2018-19
null
null
NBA Finals 2019; payroll computed from HoopsHype player salaries
2,019
2019-20
null
null
NBA Finals 2020; payroll computed from HoopsHype player salaries
2,020
2020-21
null
null
NBA Finals 2021; payroll computed from HoopsHype player salaries
2,021
2021-22
null
null
NBA Finals 2022; payroll computed from HoopsHype player salaries
2,022
2022-23
null
null
NBA Finals 2023; payroll computed from HoopsHype player salaries
2,023
2023-24
null
null
NBA Finals 2024; payroll computed from HoopsHype player salaries
2,024
2024-25
null
null
NBA Finals 2025; payroll computed from HoopsHype player salaries
2,025
2025-26
null
null
2026 champion reported by NY Post; official NBA page to recheck; payroll computed from HoopsHype player salaries
2,026
2026-27
null
null
; payroll computed from HoopsHype player salaries
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
2,025
2025-26
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,025
2025-26
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,025
2025-26
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,025
2025-26
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,025
2025-26
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,025
2025-26
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,025
2025-26
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,025
2025-26
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,025
2025-26
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,025
2025-26
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,025
2025-26
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,025
2025-26
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,025
2025-26
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,025
2025-26
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,025
2025-26
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,026
2026-27
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,026
2026-27
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,026
2026-27
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,026
2026-27
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,026
2026-27
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,026
2026-27
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,026
2026-27
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,026
2026-27
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,026
2026-27
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,026
2026-27
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,026
2026-27
null
null
HoopsHype salaries GraphQL endpoint, accessed 2026-07-07
2,015
2015-16
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,015
2015-16
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,015
2015-16
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,016
2016-17
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,016
2016-17
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,016
2016-17
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,017
2017-18
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,017
2017-18
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,017
2017-18
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,018
2018-19
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,018
2018-19
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,018
2018-19
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,019
2019-20
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,019
2019-20
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,019
2019-20
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,020
2020-21
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,020
2020-21
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,020
2020-21
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,021
2021-22
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,021
2021-22
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,021
2021-22
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,022
2022-23
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,022
2022-23
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,022
2022-23
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,023
2023-24
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,023
2023-24
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,023
2023-24
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,024
2024-25
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,024
2024-25
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,024
2024-25
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,025
2025-26
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,025
2025-26
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,025
2025-26
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,026
2026-27
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,026
2026-27
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,026
2026-27
null
null
Derived from salary cap in cap_tax_aprons.csv and CBA max tiers
2,015
2015-16
null
null
2011 CBA scale / public minimum tables
2,016
2016-17
null
null
2011 CBA scale / public minimum tables
2,017
2017-18
null
null
2017 NBA/NBPA CBA Exhibit C
2,018
2018-19
null
null
2017 NBA/NBPA CBA Exhibit C adjusted by cap
End of preview.

NBA Salary Cap & Contracts, 2016-2026

An analysis-ready dataset of NBA salaries, payrolls and the salary-cap system over ten seasons (2015-16 baseline through 2025-26, plus a mechanical 2026-27 to 2031-32 projection). It combines player-salary snapshots with the institutional thresholds that govern them: cap, luxury tax, aprons, minimums and the rookie scale.

Published by MrBridge. It backs the study NBA Salaries and Contracts, 2016-2026 on mr-bridge.com.

Files

Fifteen relational tables, as CSV, plus a single combined JSON (nba-salary-cap-contracts-2016-2026.json).

File Rows What it holds
player_salaries.csv 7,288 One row per player per season: salary, team, option flags, two-way and terminated flags
salary_benchmarks.csv 12 Per season: player count, total, mean, median, percentiles and the top-1 salary
team_payrolls.csv 360 Per team per season: total payroll and player count
payroll_by_roster_rank.csv 360 Per team per season: share of payroll held by the top 1/3/5/10 salaries
payrolls.csv 12 League payroll, reported and estimated luxury tax, top-payroll team, champion payroll
champion_payrolls.csv 12 Champion payroll versus the cap, as a share of the cap
cap_tax_aprons.csv 12 Salary cap, luxury tax line, first and second apron per season
max_salaries.csv 36 Maximum salary at the 25/30/35% cap tiers
min_salaries.csv 12 Rookie and 10-year veteran minimums
two_way.csv 12 Two-way base salary, slots per team, activity limits
rookie_scale.csv 12 No. 1 pick rookie scale at 100% and 120%
top_contracts.csv 11 Largest contract signed per season, with total, AAV, length and type
french_players.csv 26 French NBA players in the 2025-26 and 2026-27 snapshots
cap_projections.csv 5 Mechanical cap path 2027-28 to 2031-32 under the 10% growth ceiling
figures_to_reverify.csv 5 Transparency: figures flagged for a final cross-check

Notes

  • Sources: player salaries and contracts come from HoopsHype's public salaries data (snapshot dated 2026-07-07). The cap, luxury tax, apron, minimum and rookie-scale thresholds come from the 2017 and 2023 NBA and NBPA collective bargaining agreements, NBA cap releases and Larry Coon's CBA FAQ, cross-checked against Basketball-Reference and Spotrac. Underlying rights to the source data belong to their respective owners.
  • Snapshots, not final accounting: player salaries and payrolls are contract and cap-hit snapshots. They can differ from the NBA's final end-of-season accounting (dead money, incentives, cap holds, final taxes, converted contracts).
  • Derived values: maximums (25/30/35% of the cap), the mechanical cap projection and the standard non-repeater tax estimates are computed by formula and labelled as such. See figures_to_reverify.csv for figures flagged for a final cross-check.
  • Use: provided for research and educational use.

More from MrBridge

Explore MrBridge's data tools on Apify, and browse more open datasets and studies.

Attribution: MrBridge (mr-bridge.com).

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