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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 86 new columns ({'flag_longstring', 'OPN4_E', 'EXT2_E', 'CSN9_E', 'item_variance', 'flag_item_out_of_range', 'AGR9_E', 'EST4_E', 'flag_screenh_nonpositive', 'EST2_E', 'flag_testelapse_outlier', 'OPN7_E', 'long_appx_lots_of_err', 'EXT3_E', 'EXT9_E', 'AGR6_E', 'OPN3_E', 'screenh', 'EXT10_E', 'screenh_iqr_high', 'flag_testelapse_nonpositive', 'EXT5_E', 'flag_screenw_outlier', 'mahalanobis_d2', 'AGR8_E', 'testelapse_iqr_high', 'EST9_E', 'flag_mahalanobis', 'OPN8_E', 'EST10_E', 'AGR1_E', 'dateload', 'CSN2_E', 'EXT8_E', 'EXT7_E', 'introelapse', 'flag_missing_items', 'CSN1_E', 'CSN4_E', 'mahalanobis_cutoff', 'CSN10_E', 'EST6_E', 'EXT1_E', 'IPC', 'EXT6_E', 'lat_appx_lots_of_err', 'screenh_iqr_low', 'AGR5_E', 'CSN8_E', 'mean_item_time_seconds', 'AGR3_E', 'flag_straightlining', 'country', 'flag_ipc_duplicate', 'screenw', 'EST1_E', 'max_longstring', 'testelapse_iqr_low', 'flag_screenh_outlier', 'endelapse', 'EXT4_E', 'EST7_E', 'CSN7_E', 'AGR4_E', 'screenw_iqr_high', 'OPN9_E', 'EST8_E', 'exclude_any', 'flag_screenw_nonpositive', 'AGR2_E', 'CSN3_E', 'CSN5_E', 'item_unique_count', 'flag_speeding', 'EST3_E', 'OPN2_E', 'OPN6_E', 'AGR10_E', 'OPN10_E', 'OPN1_E', 'screenw_iqr_low', 'EST5_E', 'OPN5_E', 'testelapse', 'CSN6_E', 'AGR7_E'}) and 2 missing columns ({'_source_file', 'model'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Anonymous0624/llm-psychometric-fidelity-audit/human_data_cleaned.csv (at revision d6ae3cb29b5eed1d9b9794e30231ac6da87b13c7), [/tmp/hf-datasets-cache/medium/datasets/10274905822364-config-parquet-and-info-Anonymous0624-llm-psychom-af8ba6cd/hub/datasets--Anonymous0624--llm-psychometric-fidelity-audit/snapshots/d6ae3cb29b5eed1d9b9794e30231ac6da87b13c7/big5_llm.csv (origin=hf://datasets/Anonymous0624/llm-psychometric-fidelity-audit@d6ae3cb29b5eed1d9b9794e30231ac6da87b13c7/big5_llm.csv), /tmp/hf-datasets-cache/medium/datasets/10274905822364-config-parquet-and-info-Anonymous0624-llm-psychom-af8ba6cd/hub/datasets--Anonymous0624--llm-psychometric-fidelity-audit/snapshots/d6ae3cb29b5eed1d9b9794e30231ac6da87b13c7/human_data_cleaned.csv (origin=hf://datasets/Anonymous0624/llm-psychometric-fidelity-audit@d6ae3cb29b5eed1d9b9794e30231ac6da87b13c7/human_data_cleaned.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
EXT1: double
EXT2: double
EXT3: double
EXT4: double
EXT5: double
EXT6: double
EXT7: double
EXT8: double
EXT9: double
EXT10: double
EST1: double
EST2: double
EST3: double
EST4: double
EST5: double
EST6: double
EST7: double
EST8: double
EST9: double
EST10: double
AGR1: double
AGR2: double
AGR3: double
AGR4: double
AGR5: double
AGR6: double
AGR7: double
AGR8: double
AGR9: double
AGR10: double
CSN1: double
CSN2: double
CSN3: double
CSN4: double
CSN5: double
CSN6: double
CSN7: double
CSN8: double
CSN9: double
CSN10: double
OPN1: double
OPN2: double
OPN3: double
OPN4: double
OPN5: double
OPN6: double
OPN7: double
OPN8: double
OPN9: double
OPN10: double
EXT1_E: double
EXT2_E: double
EXT3_E: double
EXT4_E: double
EXT5_E: double
EXT6_E: double
EXT7_E: double
EXT8_E: double
EXT9_E: double
EXT10_E: double
EST1_E: double
EST2_E: double
EST3_E: double
EST4_E: double
EST5_E: double
EST6_E: double
EST7_E: double
EST8_E: double
EST9_E: double
EST10_E: double
AGR1_E: double
AGR2_E: double
AGR3_E: double
AGR4_E: double
AGR5_E: double
AGR6_E: double
AGR7_E: double
AGR8_E: double
AGR9_E: double
AGR10_E: double
CSN1_E: double
CSN2_E: double
CSN3_E: double
CSN4_E: double
CSN5_E: double
CSN6_E: double
CSN7_E: double
CSN8_E: double
CSN9_E: double
CSN10_E: double
OPN1_E: double
OPN2_E: double
OPN3_E: double
OPN4_E: double
OPN5_E: double
OPN6_E: double
OPN7_E: double
OPN8_E: double
OPN9_E: double
OPN10_E: double
dateload: string
screenw: double
screenh: double
introelapse: double
testelapse: double
endelapse: int64
IPC: int64
country: string
lat_appx_lots_of_err: string
long_appx_lots_of_err: string
flag_ipc_duplicate: bool
flag_missing_items: bool
flag_item_out_of_range: bool
mean_item_time_seconds: double
flag_speeding: bool
item_unique_count: int64
item_variance: double
flag_straightlining: bool
max_longstring: int64
flag_longstring: bool
mahalanobis_d2: double
mahalanobis_cutoff: double
flag_mahalanobis: bool
screenw_iqr_low: double
screenw_iqr_high: double
flag_screenw_outlier: bool
flag_screenw_nonpositive: bool
screenh_iqr_low: double
screenh_iqr_high: double
flag_screenh_outlier: bool
flag_screenh_nonpositive: bool
testelapse_iqr_low: double
testelapse_iqr_high: double
flag_testelapse_outlier: bool
flag_testelapse_nonpositive: bool
exclude_any: bool
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 16055
to
{'model': Value('string'), 'EXT1': Value('int64'), 'EXT2': Value('int64'), 'EXT3': Value('int64'), 'EXT4': Value('int64'), 'EXT5': Value('int64'), 'EXT6': Value('int64'), 'EXT7': Value('int64'), 'EXT8': Value('int64'), 'EXT9': Value('int64'), 'EXT10': Value('int64'), 'EST1': Value('int64'), 'EST2': Value('int64'), 'EST3': Value('int64'), 'EST4': Value('int64'), 'EST5': Value('int64'), 'EST6': Value('int64'), 'EST7': Value('int64'), 'EST8': Value('int64'), 'EST9': Value('int64'), 'EST10': Value('int64'), 'AGR1': Value('int64'), 'AGR2': Value('int64'), 'AGR3': Value('int64'), 'AGR4': Value('int64'), 'AGR5': Value('int64'), 'AGR6': Value('int64'), 'AGR7': Value('int64'), 'AGR8': Value('int64'), 'AGR9': Value('int64'), 'AGR10': Value('int64'), 'CSN1': Value('int64'), 'CSN2': Value('int64'), 'CSN3': Value('int64'), 'CSN4': Value('int64'), 'CSN5': Value('int64'), 'CSN6': Value('int64'), 'CSN7': Value('int64'), 'CSN8': Value('int64'), 'CSN9': Value('int64'), 'CSN10': Value('int64'), 'OPN1': Value('int64'), 'OPN2': Value('int64'), 'OPN3': Value('int64'), 'OPN4': Value('int64'), 'OPN5': Value('int64'), 'OPN6': Value('int64'), 'OPN7': Value('int64'), 'OPN8': Value('int64'), 'OPN9': Value('int64'), 'OPN10': Value('int64'), '_source_file': 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 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 86 new columns ({'flag_longstring', 'OPN4_E', 'EXT2_E', 'CSN9_E', 'item_variance', 'flag_item_out_of_range', 'AGR9_E', 'EST4_E', 'flag_screenh_nonpositive', 'EST2_E', 'flag_testelapse_outlier', 'OPN7_E', 'long_appx_lots_of_err', 'EXT3_E', 'EXT9_E', 'AGR6_E', 'OPN3_E', 'screenh', 'EXT10_E', 'screenh_iqr_high', 'flag_testelapse_nonpositive', 'EXT5_E', 'flag_screenw_outlier', 'mahalanobis_d2', 'AGR8_E', 'testelapse_iqr_high', 'EST9_E', 'flag_mahalanobis', 'OPN8_E', 'EST10_E', 'AGR1_E', 'dateload', 'CSN2_E', 'EXT8_E', 'EXT7_E', 'introelapse', 'flag_missing_items', 'CSN1_E', 'CSN4_E', 'mahalanobis_cutoff', 'CSN10_E', 'EST6_E', 'EXT1_E', 'IPC', 'EXT6_E', 'lat_appx_lots_of_err', 'screenh_iqr_low', 'AGR5_E', 'CSN8_E', 'mean_item_time_seconds', 'AGR3_E', 'flag_straightlining', 'country', 'flag_ipc_duplicate', 'screenw', 'EST1_E', 'max_longstring', 'testelapse_iqr_low', 'flag_screenh_outlier', 'endelapse', 'EXT4_E', 'EST7_E', 'CSN7_E', 'AGR4_E', 'screenw_iqr_high', 'OPN9_E', 'EST8_E', 'exclude_any', 'flag_screenw_nonpositive', 'AGR2_E', 'CSN3_E', 'CSN5_E', 'item_unique_count', 'flag_speeding', 'EST3_E', 'OPN2_E', 'OPN6_E', 'AGR10_E', 'OPN10_E', 'OPN1_E', 'screenw_iqr_low', 'EST5_E', 'OPN5_E', 'testelapse', 'CSN6_E', 'AGR7_E'}) and 2 missing columns ({'_source_file', 'model'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Anonymous0624/llm-psychometric-fidelity-audit/human_data_cleaned.csv (at revision d6ae3cb29b5eed1d9b9794e30231ac6da87b13c7), [/tmp/hf-datasets-cache/medium/datasets/10274905822364-config-parquet-and-info-Anonymous0624-llm-psychom-af8ba6cd/hub/datasets--Anonymous0624--llm-psychometric-fidelity-audit/snapshots/d6ae3cb29b5eed1d9b9794e30231ac6da87b13c7/big5_llm.csv (origin=hf://datasets/Anonymous0624/llm-psychometric-fidelity-audit@d6ae3cb29b5eed1d9b9794e30231ac6da87b13c7/big5_llm.csv), /tmp/hf-datasets-cache/medium/datasets/10274905822364-config-parquet-and-info-Anonymous0624-llm-psychom-af8ba6cd/hub/datasets--Anonymous0624--llm-psychometric-fidelity-audit/snapshots/d6ae3cb29b5eed1d9b9794e30231ac6da87b13c7/human_data_cleaned.csv (origin=hf://datasets/Anonymous0624/llm-psychometric-fidelity-audit@d6ae3cb29b5eed1d9b9794e30231ac6da87b13c7/human_data_cleaned.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.
model string | EXT1 int64 | EXT2 int64 | EXT3 int64 | EXT4 int64 | EXT5 int64 | EXT6 int64 | EXT7 int64 | EXT8 int64 | EXT9 int64 | EXT10 int64 | EST1 int64 | EST2 int64 | EST3 int64 | EST4 int64 | EST5 int64 | EST6 int64 | EST7 int64 | EST8 int64 | EST9 int64 | EST10 int64 | AGR1 int64 | AGR2 int64 | AGR3 int64 | AGR4 int64 | AGR5 int64 | AGR6 int64 | AGR7 int64 | AGR8 int64 | AGR9 int64 | AGR10 int64 | CSN1 int64 | CSN2 int64 | CSN3 int64 | CSN4 int64 | CSN5 int64 | CSN6 int64 | CSN7 int64 | CSN8 int64 | CSN9 int64 | CSN10 int64 | OPN1 int64 | OPN2 int64 | OPN3 int64 | OPN4 int64 | OPN5 int64 | OPN6 int64 | OPN7 int64 | OPN8 int64 | OPN9 int64 | OPN10 int64 | _source_file string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 3 | 4 | 3 | 2 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 3 | 4 | 3 | 4 | 3 | 4 | 2 | 4 | 3 | 4 | 2 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 4 | 3 | 4 | 2 | 2 | 3 | 3 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 2 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 2 | 3 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 3 | 3 | 4 | 2 | 3 | 3 | 4 | 2 | 3 | 4 | 3 | 2 | 4 | 2 | 3 | 2 | 3 | 2 | 4 | 3 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 3 | 3 | 4 | 2 | 3 | 3 | 4 | 2 | 3 | 3 | 4 | 2 | 4 | 2 | 3 | 2 | 4 | 3 | 4 | 3 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 3 | 3 | 4 | 2 | 3 | 3 | 4 | 2 | 3 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 3 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 3 | 3 | 4 | 2 | 3 | 3 | 4 | 2 | 3 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 2 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 3 | 2 | 2 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 1 | 4 | 4 | 3 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 3 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 3 | 3 | 4 | 2 | 3 | 3 | 4 | 2 | 3 | 3 | 3 | 2 | 4 | 2 | 3 | 2 | 3 | 2 | 4 | 3 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 2 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 4 | 1 | 4 | 1 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 2 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 3 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 3 | 3 | 4 | 3 | 4 | 2 | 3 | 3 | 4 | 1 | 3 | 4 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 2 | 3 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 3 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 3 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 3 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 3 | 3 | 4 | 2 | 3 | 3 | 4 | 2 | 3 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 3 | 4 | 4 | 2 | 4 | 2 | 4 | 1 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 1 | 3 | 4 | 4 | 2 | 4 | 2 | 4 | 2 | 4 | 3 | 4 | 4 | big_five_claude-haiku-4.5_13.csv |
claude-haiku-4.5 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 1 | 4 | 2 | 4 | 2 | 4 | 4 | 3 | 3 | 3 | 4 | 2 | 3 | 3 | 4 | 2 | 3 | 3 | 3 | 2 | 4 | 2 | 3 | 2 | 4 | 2 | 4 | 3 | big_five_claude-haiku-4.5_13.csv |
End of preview.
LLM Psychometric Fidelity Audit
This dataset supports the llm-psychometric-fidelity-audit repository, which evaluates the psychometric fidelity of large language model responses on the IPIP Big Five personality questionnaire.
The dataset includes cleaned human survey responses and merged LLM-generated responses to the same 50 IPIP Big Five items. It is intended for reproducing the paper analyses, including comparisons of central tendency, distributional shape, reliability, latent structure, and response-style behavior.
Files
human_data_cleaned.csv: cleaned human IPIP Big Five responses after quality control.big5_llm.csv: merged LLM responses to the 50 IPIP Big Five items.
Models
We tested eight LLMs and accessed them through OpenRouter's OpenAI-compatible API.
- Model family
openai:gpt-5.4,gpt-5.4-mini,gpt-5.4-nano. - Model family
anthropic:claude-sonnet-4.6,claude-haiku-4.5. - Model family
google:gemini-3-flash,gemini-3.1-flash-lite. - Model family
deepseek:deepseek-v3.2.
Code and Colab
Code repository:
https://github.com/anonymous0624/llm-psychometric-fidelity-audit
Ready-to-run Colab notebook:
https://colab.research.google.com/drive/1xrlhp9X2piBFk4BWCa8qITads7vfHrQB
Notes
The human data are derived from the Open Psychometrics IPIP-FFM dataset. The released files are provided to support reproducible analysis and paper review. API-based LLM response collection is not required for reproducing the main results because the merged LLM response file is included here.
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