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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 7 new columns ({'n_valid', 'mean_RPR', 'valid_rate', 'pressure', 'mean_gap', 'constraint_family', 'mean_CC'}) and 4 missing columns ({'parse_fail', 'constraint_fail', 'legal_fail', 'valid'}).
This happened while the csv dataset builder was generating data using
hf://datasets/LudicIndex/ludic-index-turn-logs/experiments/gridworld_7model_dual/aggregates/per_pressure_summary.csv (at revision 64300235cb97fd7a6025d00a129ec8b56f0e49ca), [/tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/gridworld_7model_dual/aggregates/failure_taxonomy.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/gridworld_7model_dual/aggregates/failure_taxonomy.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/gridworld_7model_dual/aggregates/per_pressure_summary.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/gridworld_7model_dual/aggregates/per_pressure_summary.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/gridworld_7model_dual/aggregates/per_selector_summary.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/gridworld_7model_dual/aggregates/per_selector_summary.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/gridworld_7model_dual/turns/gridworld_7model_dual__constrained_frozen_lake_6x6_dual.csv 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/tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/judge_rescoring/compare__gridworld_7model_dual__constrained_frozen_lake_6x6_dual__constrained_frozen_lake_6x6__budgeted_steps.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/judge_rescoring/compare__gridworld_7model_dual__constrained_frozen_lake_6x6_dual__constrained_frozen_lake_6x6__budgeted_steps.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/judge_rescoring/compare__gridworld_7model_dual__constrained_frozen_lake_6x6_dual__constrained_frozen_lake_6x6__no_risky_moves.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/judge_rescoring/compare__gridworld_7model_dual__constrained_frozen_lake_6x6_dual__constrained_frozen_lake_6x6__no_risky_moves.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/judge_rescoring/compare__kuhn_7model_expanded__kuhn_poker_dual__kuhn_poker__no_bluff.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/judge_rescoring/compare__kuhn_7model_expanded__kuhn_poker_dual__kuhn_poker__no_bluff.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/judge_rescoring/compare__kuhn_7model_expanded__kuhn_poker_dual__kuhn_poker__no_pass_on_strong.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/judge_rescoring/compare__kuhn_7model_expanded__kuhn_poker_dual__kuhn_poker__no_pass_on_strong.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/judge_rescoring/compare__rocksample_5model_main__rocksample_4x4_3rocks__rocksample_4x4_3rocks__energy_budget.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/judge_rescoring/compare__rocksample_5model_main__rocksample_4x4_3rocks__rocksample_4x4_3rocks__energy_budget.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/judge_rescoring/compare__rocksample_5model_main__rocksample_4x4_3rocks__rocksample_4x4_3rocks__no_sample_without_check.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/judge_rescoring/compare__rocksample_5model_main__rocksample_4x4_3rocks__rocksample_4x4_3rocks__no_sample_without_check.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/judge_rescoring/per_turn__gridworld_7model_dual__constrained_frozen_lake_6x6_dual.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/judge_rescoring/per_turn__gridworld_7model_dual__constrained_frozen_lake_6x6_dual.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/judge_rescoring/per_turn__kuhn_7model_expanded__kuhn_poker_dual.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/judge_rescoring/per_turn__kuhn_7model_expanded__kuhn_poker_dual.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/judge_rescoring/per_turn__rocksample_5model_main__rocksample_4x4_3rocks.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/judge_rescoring/per_turn__rocksample_5model_main__rocksample_4x4_3rocks.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/kuhn_7model_expanded/aggregates/failure_taxonomy.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/kuhn_7model_expanded/aggregates/failure_taxonomy.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/kuhn_7model_expanded/aggregates/per_pressure_summary.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/kuhn_7model_expanded/aggregates/per_pressure_summary.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/kuhn_7model_expanded/aggregates/per_selector_summary.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/kuhn_7model_expanded/aggregates/per_selector_summary.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/kuhn_7model_expanded/turns/kuhn_7model_expanded__kuhn_poker_dual.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/kuhn_7model_expanded/turns/kuhn_7model_expanded__kuhn_poker_dual.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/rocksample_5model_main/aggregates/failure_taxonomy.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/rocksample_5model_main/aggregates/failure_taxonomy.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/rocksample_5model_main/aggregates/per_pressure_summary.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/rocksample_5model_main/aggregates/per_pressure_summary.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/rocksample_5model_main/aggregates/per_selector_summary.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/rocksample_5model_main/aggregates/per_selector_summary.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/rocksample_5model_main/turns/rocksample_5model_main__rocksample_4x4_3rocks.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/rocksample_5model_main/turns/rocksample_5model_main__rocksample_4x4_3rocks.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/python3.12/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
env_id: string
constraint_family: string
pressure: double
selector_id: string
n_turns: int64
n_valid: int64
valid_rate: double
mean_CC: double
mean_RPR: double
mean_gap: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1437
to
{'env_id': Value('string'), 'selector_id': Value('string'), 'n_turns': Value('int64'), 'parse_fail': Value('int64'), 'legal_fail': Value('int64'), 'constraint_fail': Value('int64'), 'valid': Value('int64')}
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 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 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 7 new columns ({'n_valid', 'mean_RPR', 'valid_rate', 'pressure', 'mean_gap', 'constraint_family', 'mean_CC'}) and 4 missing columns ({'parse_fail', 'constraint_fail', 'legal_fail', 'valid'}).
This happened while the csv dataset builder was generating data using
hf://datasets/LudicIndex/ludic-index-turn-logs/experiments/gridworld_7model_dual/aggregates/per_pressure_summary.csv (at revision 64300235cb97fd7a6025d00a129ec8b56f0e49ca), [/tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/gridworld_7model_dual/aggregates/failure_taxonomy.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/gridworld_7model_dual/aggregates/failure_taxonomy.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/gridworld_7model_dual/aggregates/per_pressure_summary.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/gridworld_7model_dual/aggregates/per_pressure_summary.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/gridworld_7model_dual/aggregates/per_selector_summary.csv (origin=hf://datasets/LudicIndex/ludic-index-turn-logs@64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/gridworld_7model_dual/aggregates/per_selector_summary.csv), /tmp/hf-datasets-cache/medium/datasets/31696124311562-config-parquet-and-info-LudicIndex-ludic-index-tu-07162871/hub/datasets--LudicIndex--ludic-index-turn-logs/snapshots/64300235cb97fd7a6025d00a129ec8b56f0e49ca/experiments/gridworld_7model_dual/turns/gridworld_7model_dual__constrained_frozen_lake_6x6_dual.csv 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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.
env_id string | selector_id string | n_turns int64 | parse_fail int64 | legal_fail int64 | constraint_fail int64 | valid int64 |
|---|---|---|---|---|---|---|
constrained_frozen_lake_6x6 | constrained_oracle | 280 | 0 | 0 | 8 | 272 |
constrained_frozen_lake_6x6 | feasible_random | 280 | 0 | 0 | 8 | 272 |
constrained_frozen_lake_6x6 | llm_gpt-4.1 | 280 | 0 | 0 | 17 | 263 |
constrained_frozen_lake_6x6 | llm_gpt-4.1-mini | 280 | 0 | 0 | 23 | 257 |
constrained_frozen_lake_6x6 | llm_gpt-4o | 280 | 0 | 0 | 29 | 251 |
constrained_frozen_lake_6x6 | llm_gpt-4o-mini | 280 | 0 | 0 | 29 | 251 |
constrained_frozen_lake_6x6 | llm_gpt-5 | 280 | 52 | 0 | 3 | 225 |
constrained_frozen_lake_6x6 | llm_gpt-5-mini | 280 | 1 | 0 | 9 | 270 |
constrained_frozen_lake_6x6 | llm_gpt-5.2 | 280 | 0 | 0 | 10 | 270 |
constrained_frozen_lake_6x6 | oracle_argmax | 280 | 0 | 0 | 34 | 246 |
constrained_frozen_lake_6x6 | constrained_oracle | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | feasible_random | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4.1 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4.1-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4o | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4o-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5.2 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | oracle_argmax | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | constrained_oracle | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | feasible_random | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4.1 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4.1-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4o | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4o-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5.2 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | oracle_argmax | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | constrained_oracle | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | feasible_random | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4.1 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4.1-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4o | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4o-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5.2 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | oracle_argmax | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | constrained_oracle | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | feasible_random | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4.1 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4.1-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4o | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4o-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5.2 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | oracle_argmax | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | constrained_oracle | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | feasible_random | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4.1 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4.1-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4o | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4o-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5.2 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | oracle_argmax | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | constrained_oracle | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | feasible_random | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4.1 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4.1-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4o | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4o-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5.2 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | oracle_argmax | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | constrained_oracle | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | feasible_random | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4.1 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4.1-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4o | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4o-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5.2 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | oracle_argmax | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | constrained_oracle | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | feasible_random | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4.1 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4.1-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4o | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4o-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5-mini | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5.2 | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | oracle_argmax | 35 | null | null | null | null |
constrained_frozen_lake_6x6 | constrained_oracle | 140 | null | null | null | null |
constrained_frozen_lake_6x6 | feasible_random | 140 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4.1 | 140 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4.1-mini | 140 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4o | 140 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-4o-mini | 140 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5 | 140 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5-mini | 140 | null | null | null | null |
constrained_frozen_lake_6x6 | llm_gpt-5.2 | 140 | null | null | null | null |
constrained_frozen_lake_6x6 | oracle_argmax | 140 | null | null | null | null |
End of preview.
Ludic Index — Released Turn Logs
This dataset is the empirical record (turn logs, judge rescoring data, per-experiment aggregates) for the paper "Ludic Index: A Decomposition Framework for Value Loss in Constrained LLM Agents" (NeurIPS 2026 Evaluations and Datasets Track, under review).
The corresponding framework code is released separately on an anonymized code-hosting platform. The link is provided in the OpenReview submission accompanying this dataset.
Contents
- experiments/kuhn_7model_expanded/ Kuhn poker, 7-model panel, 1,200 turns
- experiments/gridworld_7model_dual/ Frozen Lake 6x6, 7-model panel, 2,800 turns
- experiments/rocksample_5model_main/ RockSample 4x4 POMDP, 5-model panel, 2,160 turns
- experiments/gridworld_gpt5_parser_fix/ Parser-fix intervention, 280 turns
- experiments/judge_rescoring/ 3,957 judge calls + per-cell comparisons
Each per-experiment directory contains:
- turns/ raw 29-column per-turn records
- aggregates/ pre-computed per-selector, per-pressure, and failure-taxonomy CSVs
- manifests/ execution metadata (config, seeds, model panel, timestamps)
The judge_rescoring/ directory contains:
- judge_cache_gpt-4o.json cached LLM judge responses (provider IDs, completion IDs, and timestamps removed; keys are synthetic state IDs)
- compare__*.csv per-cell judge-vs-oracle ranking comparisons (six cells)
- per_turn__*.csv per-turn judge scores joined with oracle Q-values
- comparison_summary__*.json aggregated correlation results
- grand_summary.json cross-environment summary
Reproduction
All paper aggregates are recomputable from these files using the released framework. From the code repository:
python scripts/aggregate_results.py --experiment-dir <experiment_directory> --out-dir <output_directory>
The output is byte-identical to the aggregates/ files included here, modulo machine-precision tolerance.
Schema
The 29-column turn-log schema is defined in src/ludic/schema.py of the code repository. Each row is one (selector, environment, constraint, pressure, seed, turn_index) observation, recording the raw LLM output, parsed action, validity flags (parse_fail / legal_fail / constraint_fail), oracle Q-values, and decomposed CC and RPR components.
Total volume
6,160 main turns plus 280 intervention turns = 6,440 turns total. 3,957 judge calls. 31 files, approximately 3.6 MB.
Model panel
The 7-model panel (Kuhn, Gridworld) consists of: gpt-4.1, gpt-4.1-mini, gpt-4o, gpt-4o-mini, gpt-5, gpt-5-mini, gpt-5.2.
The 5-model panel (RockSample) consists of: gpt-4.1, gpt-4o, gpt-4o-mini, gpt-5-mini, gpt-5.2. (Note: RockSample 4x4 with 3 rocks was run on a 5-model panel rather than the full 7-model panel due to API budget at collection time; see §5.1 of the paper.)
All models accessed via the OpenAI Chat Completions API at temperature 0.0. The judge model in experiments/judge_rescoring/ is gpt-4o, distinct from the agent panel.
License
CC-BY-4.0. The code repository is released under the MIT License.
Citation
Citation metadata is provided in the code repository's CITATION.cff file. This work is currently under double-blind review at NeurIPS 2026.
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