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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 62 new columns ({'IA_FIRST_FIXATION_Y', 'IA_RUN_COUNT', 'IA_ID', 'IA_FIRST_RUN_FIXATION_COUNT', 'POS_CLAWS', 'IA_REGRESSION_OUT', 'OrthoMatchModel', 'Word_POS', 'InflectionMatch', 'IA_REGRESSION_PATH_DURATION', 'IA_FIRST_FIXATION_TIME', 'Word_Length', 'OrthographicMatch', 'IsModalResponse', 'IA_REGRESSION_IN_COUNT', 'IA_FIRST_SACCADE_AMPLITUDE', 'LSA_Response_Match_Score', 'ModalResponseCount', 'IA_BOTTOM', 'Participant_ID', 'Word_Cleaned', 'Total_Response_Count', 'Word_In_Sentence_Number', 'Word_Unique_ID', 'IA_FIRST_RUN_FIXATION_.', 'Word_Content_Or_Function', 'InflectionMatchModel', 'POSMatchModel', 'IA_FIRST_FIXATION_RUN_INDEX', 'IA_FIRST_SACCADE_END_TIME', 'IA_RIGHT', 'IA_REGRESSION_OUT_FULL', 'IA_DWELL_TIME', 'ModalResponse', 'IA_FIRST_FIXATION_DURATION', 'IA_AREA', 'TRIAL_INDEX', 'IA_FIRST_FIXATION_VISITED_IA_COUNT', 'IA_TOP', 'IA_SKIP', 'IA_REGRESSION_IN', 'IA_REGRESSION_OUT_COUNT', 'IA_FIRST_FIXATION_X', 'IA_FIRST_FIXATION_INDEX', 'Word_Number', 'Text_ID', 'IA_FIRST_RUN_END_TIME', 'IA_FIRST_RUN_DWELL_TIME', 'Certainty', 'IA_REGRESSION_OUT_FULL_COUNT', 'LSA_Context_Score', 'Unique_Count', 'IA_FIRST_FIX_PROGRESSIVE', 'IA_FIRST_SACCADE_ANGLE', 'IA_LEFT', 'Sentence_Number', 'POSMatch', 'RECORDING_SESSION_LABEL', 'IA_FIRST_SACCADE_START_TIME', 'IA_FIRST_RUN_START_TIME', 'IA_LABEL', 'IA_FIXATION_COUNT'}) and 63 missing columns ({'D.SD.L', 'V.Rat.M', 'A.Rat.M', 'D.Mean.H', 'A.Mean.O', 'D.SD.Sum', 'A.Mean.H', 'D.SD.O', 'V.SD.Sum', 'V.Rat.Sum', 'V.Rat.O', 'A.SD.Sum', 'V.Rat.Y', 'A.Mean.Y', 'V.Mean.M', 'A.SD.M', 'D.Rat.O', 'D.Rat.F', 'A.SD.Y', 'V.Mean.H', 'D.Mean.L', 'D.SD.H', 'V.Mean.L', 'A.Mean.F', 'A.Rat.O', 'A.Mean.Sum', 'A.SD.F', 'V.Mean.F', 'A.SD.L', 'A.Rat.L', 'A.Mean.M', 'A.Rat.F', 'A.SD.O', 'V.Rat.L', 'V.Rat.H', 'D.SD.F', 'D.Mean.O', 'A.Mean.L', 'D.Mean.Sum', 'A.Rat.Y', 'V.SD.F', 'A.SD.H', 'A.Rat.Sum', 'V.SD.L', 'D.Rat.L', 'D.Rat.H', 'V.Rat.F', 'D.Mean.M', 'V.SD.Y', 'D.Mean.F', 'D.Rat.M', 'A.Rat.H', 'D.SD.Y', 'D.Rat.Sum', 'V.Mean.O', 'D.SD.M', 'D.Rat.Y', 'V.SD.O', 'V.Mean.Sum', 'D.Mean.Y', 'V.SD.M', 'V.SD.H', 'V.Mean.Y'}).
This happened while the csv dataset builder was generating data using
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'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/09-Prior-Sensitivity/04-Sensitivity-Focal-MCMC.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/09-Prior-Sensitivity/05-Sensitivity-Diagnostic-Decomposition.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/09-Prior-Sensitivity/06-Sensitivity-Bayes-Factors.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/09-Prior-Sensitivity/07-Sensitivity-Classifications.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/09-Prior-Sensitivity/08-Sensitivity-BF10-Matrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/09-Prior-Sensitivity/09-Sensitivity-Classification-Matrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/09-Prior-Sensitivity/10-Sensitivity-Focal-Priors.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/09-Prior-Sensitivity/11-Sensitivity-KDE-Bandwidth-Audit.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/09-Prior-Sensitivity/12-Sensitivity-KDE-Summary.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/09-Prior-Sensitivity/13-Sensitivity-KDE-Stability-Matrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/10-Cross-Prior-DCIF-Stability/01-Cross-Prior-DCIF-Results.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/10-Cross-Prior-DCIF-Stability/02-Final-DCIF-Evidence.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/10-Cross-Prior-DCIF-Stability/03-Final-DCIF-Evidence-Matrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/10-Cross-Prior-DCIF-Stability/04-Cross-Prior-Stability-Matrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/10-Cross-Prior-DCIF-Stability/05-Cross-Prior-Bayes-Factors.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/10-Cross-Prior-DCIF-Stability/06-Cross-Prior-Diagnostic-Provenance.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/10-Cross-Prior-DCIF-Stability/07-Whole-Posterior-Diagnostic-Summary.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/10-Cross-Prior-DCIF-Stability/08-Cross-Prior-Stability-Counts.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/10-Cross-Prior-DCIF-Stability/09-Final-DCIF-Evidence-Counts.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/10-Cross-Prior-DCIF-Stability/10-Final-DCIF-Measure-Counts.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/10-Cross-Prior-DCIF-Stability/11-Final-DCIF-Interaction-Counts.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/10-Cross-Prior-DCIF-Stability/12-Cross-Prior-KDE-Provenance.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/10-Cross-Prior-DCIF-Stability/13-Cross-Prior-KDE-Stability-Matrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/10-Cross-Prior-DCIF-Stability/14-Cross-Prior-Joint-Robustness-Matrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/11-NHST-Bayesian-Integration/00-Original-Full-Factorial-LME-Focal-Results.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/11-NHST-Bayesian-Integration/01-NHST-Bayesian-Integration.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/11-NHST-Bayesian-Integration/02-NHST-Bayesian-Relationship-Matrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/11-NHST-Bayesian-Integration/03-NHST-Bayesian-Relationship-Counts.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/11-NHST-Bayesian-Integration/04-NHST-Final-Bayesian-Crosstab.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/11-NHST-Bayesian-Integration/05-Nonsignificant-LME-Bayesian-Evidence.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/11-NHST-Bayesian-Integration/06-Significant-LME-Bayesian-Evidence.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/11-NHST-Bayesian-Integration/07-NHST-Bayesian-Diagnostic-Provenance.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/11-NHST-Bayesian-Integration/08-NHST-Bayesian-KDE-Robustness-Summary.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/12-Comment4-Comment5-Synthesis/01-Comment4-WithinMeasure-Evidence.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/12-Comment4-Comment5-Synthesis/02-Comment5-Adjacent-Direct-Contrasts.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/12-Comment4-Comment5-Synthesis/03-Comment4-Comment5-Synthesis.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/12-Comment4-Comment5-Synthesis/04-Reviewer-Ready-Results.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/12-Comment4-Comment5-Synthesis/05-DCIF-Evidence-Trajectories.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/12-Comment4-Comment5-Synthesis/06-Synthesis-Matrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/12-Comment4-Comment5-Synthesis/07-Synthesis-State-Counts.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/12-Comment4-Comment5-Synthesis/08-Focal-MCMC-Diagnostic-Provenance.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/12-Comment4-Comment5-Synthesis/09-KDE-Robustness-Provenance.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/13-Final-Reviewer-Reporting/01-Final-WithinMeasure-Evidence.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/13-Final-Reviewer-Reporting/02-Final-CrossMeasure-Contrasts.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/13-Final-Reviewer-Reporting/03-Final-Integrated-Synthesis.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/13-Final-Reviewer-Reporting/04-Final-Reviewer-Ready-Results.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/13-Final-Reviewer-Reporting/05-Final-DCIF-Trajectories.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/13-Final-Reviewer-Reporting/07-Final-Focal-MCMC-Diagnostic-Provenance.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/13-Final-Reviewer-Reporting/08-Final-KDE-Robustness-Provenance.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/14-Final-Bayesian-Model-Runtime.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/14-Final-Runtime-System-Audit.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 784, 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 795, 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
RECORDING_SESSION_LABEL: string
Participant_ID: string
Word_Unique_ID: string
Text_ID: int64
Word_Number: double
Sentence_Number: double
Word_In_Sentence_Number: double
Word: string
Word_Cleaned: string
Word_Length: double
Total_Response_Count: double
Unique_Count: double
OrthographicMatch: double
OrthoMatchModel: double
IsModalResponse: double
ModalResponse: string
ModalResponseCount: double
Certainty: double
POS_CLAWS: string
Word_Content_Or_Function: string
Word_POS: string
POSMatch: double
POSMatchModel: double
InflectionMatch: double
InflectionMatchModel: double
LSA_Context_Score: double
LSA_Response_Match_Score: double
IA_ID: int64
IA_LABEL: string
TRIAL_INDEX: int64
IA_LEFT: int64
IA_RIGHT: int64
IA_TOP: int64
IA_BOTTOM: int64
IA_AREA: int64
IA_FIRST_FIXATION_DURATION: double
IA_FIRST_FIXATION_INDEX: double
IA_FIRST_FIXATION_VISITED_IA_COUNT: double
IA_FIRST_FIXATION_X: double
IA_FIRST_FIXATION_Y: double
IA_FIRST_FIX_PROGRESSIVE: double
IA_FIRST_FIXATION_RUN_INDEX: double
IA_FIRST_FIXATION_TIME: double
IA_FIRST_RUN_DWELL_TIME: double
IA_FIRST_RUN_FIXATION_COUNT: double
IA_FIRST_RUN_END_TIME: double
IA_FIRST_RUN_FIXATION_.: double
IA_FIRST_RUN_START_TIME: double
IA_DWELL_TIME: int64
IA_FIXATION_COUNT: int64
IA_RUN_COUNT: int64
IA_SKIP: int64
IA_REGRESSION_IN: double
IA_REGRESSION_IN_COUNT: double
IA_REGRESSION_OUT: double
IA_REGRESSION_OUT_COUNT: double
IA_REGRESSION_OUT_FULL: double
IA_REGRESSION_OUT_FULL_COUNT: double
IA_REGRESSION_PATH_DURATION: double
IA_FIRST_SACCADE_AMPLITUDE: double
IA_FIRST_SACCADE_ANGLE: double
IA_FIRST_SACCADE_END_TIME: double
IA_FIRST_SACCADE_START_TIME: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 8720
to
{'Word': Value('string'), 'V.Mean.Sum': Value('float64'), 'V.SD.Sum': Value('float64'), 'V.Rat.Sum': Value('int64'), 'A.Mean.Sum': Value('float64'), 'A.SD.Sum': Value('float64'), 'A.Rat.Sum': Value('int64'), 'D.Mean.Sum': Value('float64'), 'D.SD.Sum': Value('float64'), 'D.Rat.Sum': Value('int64'), 'V.Mean.M': Value('float64'), 'V.SD.M': Value('float64'), 'V.Rat.M': Value('int64'), 'V.Mean.F': Value('float64'), 'V.SD.F': Value('float64'), 'V.Rat.F': Value('int64'), 'A.Mean.M': Value('float64'), 'A.SD.M': Value('float64'), 'A.Rat.M': Value('int64'), 'A.Mean.F': Value('float64'), 'A.SD.F': Value('float64'), 'A.Rat.F': Value('int64'), 'D.Mean.M': Value('float64'), 'D.SD.M': Value('float64'), 'D.Rat.M': Value('int64'), 'D.Mean.F': Value('float64'), 'D.SD.F': Value('float64'), 'D.Rat.F': Value('int64'), 'V.Mean.Y': Value('float64'), 'V.SD.Y': Value('float64'), 'V.Rat.Y': Value('int64'), 'V.Mean.O': Value('float64'), 'V.SD.O': Value('float64'), 'V.Rat.O': Value('int64'), 'A.Mean.Y': Value('float64'), 'A.SD.Y': Value('float64'), 'A.Rat.Y': Value('int64'), 'A.Mean.O': Value('float64'), 'A.SD.O': Value('float64'), 'A.Rat.O': Value('int64'), 'D.Mean.Y': Value('float64'), 'D.SD.Y': Value('float64'), 'D.Rat.Y': Value('int64'), 'D.Mean.O': Value('float64'), 'D.SD.O': Value('float64'), 'D.Rat.O': Value('int64'), 'V.Mean.L': Value('float64'), 'V.SD.L': Value('float64'), 'V.Rat.L': Value('int64'), 'V.Mean.H': Value('float64'), 'V.SD.H': Value('float64'), 'V.Rat.H': Value('int64'), 'A.Mean.L': Value('float64'), 'A.SD.L': Value('float64'), 'A.Rat.L': Value('int64'), 'A.Mean.H': Value('float64'), 'A.SD.H': Value('float64'), 'A.Rat.H': Value('int64'), 'D.Mean.L': Value('float64'), 'D.SD.L': Value('float64'), 'D.Rat.L': Value('int64'), 'D.Mean.H': Value('float64'), 'D.SD.H': Value('float64'), 'D.Rat.H': 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 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 62 new columns ({'IA_FIRST_FIXATION_Y', 'IA_RUN_COUNT', 'IA_ID', 'IA_FIRST_RUN_FIXATION_COUNT', 'POS_CLAWS', 'IA_REGRESSION_OUT', 'OrthoMatchModel', 'Word_POS', 'InflectionMatch', 'IA_REGRESSION_PATH_DURATION', 'IA_FIRST_FIXATION_TIME', 'Word_Length', 'OrthographicMatch', 'IsModalResponse', 'IA_REGRESSION_IN_COUNT', 'IA_FIRST_SACCADE_AMPLITUDE', 'LSA_Response_Match_Score', 'ModalResponseCount', 'IA_BOTTOM', 'Participant_ID', 'Word_Cleaned', 'Total_Response_Count', 'Word_In_Sentence_Number', 'Word_Unique_ID', 'IA_FIRST_RUN_FIXATION_.', 'Word_Content_Or_Function', 'InflectionMatchModel', 'POSMatchModel', 'IA_FIRST_FIXATION_RUN_INDEX', 'IA_FIRST_SACCADE_END_TIME', 'IA_RIGHT', 'IA_REGRESSION_OUT_FULL', 'IA_DWELL_TIME', 'ModalResponse', 'IA_FIRST_FIXATION_DURATION', 'IA_AREA', 'TRIAL_INDEX', 'IA_FIRST_FIXATION_VISITED_IA_COUNT', 'IA_TOP', 'IA_SKIP', 'IA_REGRESSION_IN', 'IA_REGRESSION_OUT_COUNT', 'IA_FIRST_FIXATION_X', 'IA_FIRST_FIXATION_INDEX', 'Word_Number', 'Text_ID', 'IA_FIRST_RUN_END_TIME', 'IA_FIRST_RUN_DWELL_TIME', 'Certainty', 'IA_REGRESSION_OUT_FULL_COUNT', 'LSA_Context_Score', 'Unique_Count', 'IA_FIRST_FIX_PROGRESSIVE', 'IA_FIRST_SACCADE_ANGLE', 'IA_LEFT', 'Sentence_Number', 'POSMatch', 'RECORDING_SESSION_LABEL', 'IA_FIRST_SACCADE_START_TIME', 'IA_FIRST_RUN_START_TIME', 'IA_LABEL', 'IA_FIXATION_COUNT'}) and 63 missing columns ({'D.SD.L', 'V.Rat.M', 'A.Rat.M', 'D.Mean.H', 'A.Mean.O', 'D.SD.Sum', 'A.Mean.H', 'D.SD.O', 'V.SD.Sum', 'V.Rat.Sum', 'V.Rat.O', 'A.SD.Sum', 'V.Rat.Y', 'A.Mean.Y', 'V.Mean.M', 'A.SD.M', 'D.Rat.O', 'D.Rat.F', 'A.SD.Y', 'V.Mean.H', 'D.Mean.L', 'D.SD.H', 'V.Mean.L', 'A.Mean.F', 'A.Rat.O', 'A.Mean.Sum', 'A.SD.F', 'V.Mean.F', 'A.SD.L', 'A.Rat.L', 'A.Mean.M', 'A.Rat.F', 'A.SD.O', 'V.Rat.L', 'V.Rat.H', 'D.SD.F', 'D.Mean.O', 'A.Mean.L', 'D.Mean.Sum', 'A.Rat.Y', 'V.SD.F', 'A.SD.H', 'A.Rat.Sum', 'V.SD.L', 'D.Rat.L', 'D.Rat.H', 'V.Rat.F', 'D.Mean.M', 'V.SD.Y', 'D.Mean.F', 'D.Rat.M', 'A.Rat.H', 'D.SD.Y', 'D.Rat.Sum', 'V.Mean.O', 'D.SD.M', 'D.Rat.Y', 'V.SD.O', 'V.Mean.Sum', 'D.Mean.Y', 'V.SD.M', 'V.SD.H', 'V.Mean.Y'}).
This happened while the csv dataset builder was generating data using
hf://datasets/mohitg2/SenAffLex-Provo/02-Data/01-Raw/3_1_Provo_Corpus-Eyetracking_Data.csv (at revision cdaba6c6035a20ecf80b0794bb2594ede79f8669), ['hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/02-Data/01-Raw/2_warriner.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/02-Data/01-Raw/3_1_Provo_Corpus-Eyetracking_Data.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/02-Data/01-Raw/3_2_Provo_Corpus-Predictability_Norms.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/02-Data/02-Intermediate/1_Provo_Norming_Item_Level_Cloze.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/02-Data/02-Intermediate/2_processed_Provo_Corpus.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/02-Data/02-Intermediate/3_provo_missing_vocabulary_pre_lemmatization.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/02-Data/02-Intermediate/4_provo_missing_vocabulary_post_lemmatization.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/02-Data/03-Analysis_Ready/01-Master_Provo.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/02-Data/03-Analysis_Ready/02_Lexical_Provo.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/02-Data/03-Analysis_Ready/03_Affective_Provo.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/02-LME-Artifact-Manifest-SHA256.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/02-LME-Model-Artifacts-100GB.zip', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/03-LME-Runtime-Audit-DV.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/03-LME-Runtime-Audit-Models.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/03-LME-Runtime-Audit-System.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/BaseVAD_Lexical_CorrelationMatrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/Combined_VAD_VIF_Table.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/DV_LogTransform_Summary.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Aro_plus_Dom_CorrelationMatrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Aro_plus_Dom_VIF.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Arousal_CorrelationMatrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Arousal_VIF.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Baseline_CorrelationMatrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Baseline_VIF.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Dominance_CorrelationMatrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Dominance_VIF.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Full_Additive_CorrelationMatrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Full_Additive_VIF.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Full_Factorial_CorrelationMatrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Full_Factorial_VIF.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Int_Aro_x_Dom_CorrelationMatrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Int_Aro_x_Dom_VIF.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Int_Val_x_Aro_CorrelationMatrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Int_Val_x_Aro_VIF.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Int_Val_x_Dom_CorrelationMatrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Int_Val_x_Dom_VIF.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Val_plus_Aro_CorrelationMatrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Val_plus_Aro_VIF.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Val_plus_Dom_CorrelationMatrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Val_plus_Dom_VIF.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Valence_CorrelationMatrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_DWELL_TIME/Valence_VIF.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_FIRST_FIXATION_DURATION/Aro_plus_Dom_CorrelationMatrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_FIRST_FIXATION_DURATION/Aro_plus_Dom_VIF.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_FIRST_FIXATION_DURATION/Arousal_CorrelationMatrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_FIRST_FIXATION_DURATION/Arousal_VIF.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_FIRST_FIXATION_DURATION/Baseline_CorrelationMatrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_FIRST_FIXATION_DURATION/Baseline_VIF.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_FIRST_FIXATION_DURATION/Dominance_CorrelationMatrix.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_FIRST_FIXATION_DURATION/Dominance_VIF.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/04-Correlation-VIF/IA_FIRST_FIXATION_DURATION/Full_Additive_CorrelationMatrix.csv', 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'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/13-Final-Reviewer-Reporting/08-Final-KDE-Robustness-Provenance.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/14-Final-Bayesian-Model-Runtime.csv', 'hf://datasets/mohitg2/SenAffLex-Provo@cdaba6c6035a20ecf80b0794bb2594ede79f8669/05-Research_Program-Affective_Provo/01-Fixation_Duration_Research/VAD-Paper_01-Interaction_Within_Affect/02-Results/07-Bayesian-Evidence-Analysis/14-Final-Runtime-System-Audit.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.
Word string | V.Mean.Sum float64 | V.SD.Sum float64 | V.Rat.Sum int64 | A.Mean.Sum float64 | A.SD.Sum float64 | A.Rat.Sum int64 | D.Mean.Sum float64 | D.SD.Sum float64 | D.Rat.Sum int64 | V.Mean.M float64 | V.SD.M float64 | V.Rat.M int64 | V.Mean.F float64 | V.SD.F float64 | V.Rat.F int64 | A.Mean.M float64 | A.SD.M float64 | A.Rat.M int64 | A.Mean.F float64 | A.SD.F float64 | A.Rat.F int64 | D.Mean.M float64 | D.SD.M float64 | D.Rat.M int64 | D.Mean.F float64 | D.SD.F float64 | D.Rat.F int64 | V.Mean.Y float64 | V.SD.Y float64 | V.Rat.Y int64 | V.Mean.O float64 | V.SD.O float64 | V.Rat.O int64 | A.Mean.Y float64 | A.SD.Y float64 | A.Rat.Y int64 | A.Mean.O float64 | A.SD.O float64 | A.Rat.O int64 | D.Mean.Y float64 | D.SD.Y float64 | D.Rat.Y int64 | D.Mean.O float64 | D.SD.O float64 | D.Rat.O int64 | V.Mean.L float64 | V.SD.L float64 | V.Rat.L int64 | V.Mean.H float64 | V.SD.H float64 | V.Rat.H int64 | A.Mean.L float64 | A.SD.L float64 | A.Rat.L int64 | A.Mean.H float64 | A.SD.H float64 | A.Rat.H int64 | D.Mean.L float64 | D.SD.L float64 | D.Rat.L int64 | D.Mean.H float64 | D.SD.H float64 | D.Rat.H int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
aardvark | 6.26 | 2.21 | 19 | 2.41 | 1.4 | 22 | 4.27 | 1.75 | 15 | 6.18 | 1.66 | 11 | 6 | 2.94 | 7 | 3 | 1.41 | 8 | 2.07 | 1.33 | 14 | 4 | 1.58 | 5 | 4.4 | 1.9 | 10 | 6.12 | 2.03 | 8 | 6.36 | 2.42 | 11 | 2.56 | 1.74 | 9 | 2.31 | 1.18 | 13 | 3.62 | 2 | 8 | 5 | 1.15 | 7 | 6.5 | 2.5 | 12 | 5.86 | 1.68 | 7 | 2.27 | 1.56 | 11 | 2.55 | 1.29 | 11 | 4.12 | 1.64 | 8 | 4.43 | 1.99 | 7 |
abalone | 5.3 | 1.59 | 20 | 2.65 | 1.9 | 20 | 4.95 | 1.79 | 22 | 5.71 | 1.38 | 7 | 5.08 | 1.71 | 13 | 2.56 | 1.94 | 9 | 2.73 | 1.95 | 11 | 5.33 | 2.73 | 6 | 4.81 | 1.38 | 16 | 5 | 1.49 | 10 | 5.78 | 1.72 | 9 | 2.75 | 1.91 | 8 | 2.58 | 1.98 | 12 | 5.13 | 1.77 | 15 | 4.57 | 1.9 | 7 | 4.73 | 1.56 | 11 | 6 | 1.41 | 9 | 2.83 | 1.95 | 12 | 2.38 | 1.92 | 8 | 5.55 | 2.21 | 11 | 4.36 | 1.03 | 11 |
abandon | 2.84 | 1.54 | 19 | 3.73 | 2.43 | 22 | 3.32 | 2.5 | 22 | 2.45 | 1.29 | 11 | 3.57 | 1.81 | 7 | 4.5 | 2.83 | 8 | 3.29 | 2.16 | 14 | 4 | 3.1 | 6 | 3.06 | 2.29 | 16 | 2.75 | 1.28 | 8 | 2.91 | 1.76 | 11 | 3.78 | 2.28 | 9 | 3.69 | 2.63 | 13 | 3.7 | 2.58 | 10 | 3 | 2.49 | 12 | 2.92 | 1.88 | 12 | 2.71 | 0.76 | 7 | 3.64 | 2.8 | 11 | 3.82 | 2.14 | 11 | 2.77 | 2.09 | 13 | 4.11 | 2.93 | 9 |
abandonment | 2.63 | 1.74 | 19 | 4.95 | 2.64 | 21 | 2.64 | 1.81 | 28 | 2.17 | 1.6 | 6 | 2.85 | 1.82 | 13 | 4.3 | 2.5 | 10 | 5.55 | 2.73 | 11 | 3.09 | 2.17 | 11 | 2.35 | 1.54 | 17 | 3.27 | 1.95 | 11 | 1.75 | 0.89 | 8 | 4.55 | 2.66 | 11 | 5.4 | 2.67 | 10 | 2.78 | 1.83 | 18 | 2.4 | 1.84 | 10 | 2.92 | 1.61 | 13 | 2 | 2 | 6 | 4.79 | 2.72 | 14 | 5.29 | 2.63 | 7 | 2.31 | 1.45 | 16 | 3.08 | 2.19 | 12 |
abbey | 5.85 | 1.69 | 20 | 2.2 | 1.7 | 20 | 5 | 2.02 | 25 | 4.75 | 1.71 | 4 | 6.12 | 1.63 | 16 | 4 | 1.83 | 4 | 1.75 | 1.39 | 16 | 5.56 | 2.24 | 9 | 4.69 | 1.89 | 16 | 5.88 | 1.55 | 8 | 5.83 | 1.85 | 12 | 2.44 | 1.67 | 9 | 2 | 1.79 | 11 | 4.93 | 1.98 | 14 | 5.09 | 2.17 | 11 | 5.36 | 1.21 | 11 | 6.44 | 2.07 | 9 | 1.78 | 1.39 | 9 | 2.55 | 1.92 | 11 | 4.83 | 2.18 | 18 | 5.43 | 1.62 | 7 |
abdomen | 5.43 | 1.75 | 21 | 3.68 | 2.23 | 22 | 5.15 | 1.94 | 27 | 5.3 | 1.64 | 10 | 5.55 | 1.92 | 11 | 3 | 2 | 7 | 4 | 2.33 | 15 | 4.76 | 2.17 | 17 | 5.8 | 1.32 | 10 | 5.64 | 2.16 | 11 | 5.2 | 1.23 | 10 | 3.4 | 3.36 | 5 | 3.76 | 1.92 | 17 | 5.07 | 2.2 | 14 | 5.23 | 1.69 | 13 | 5.69 | 2.02 | 13 | 5 | 1.2 | 8 | 3.1 | 2.73 | 10 | 4.17 | 1.7 | 12 | 5.93 | 1.9 | 14 | 4.31 | 1.65 | 13 |
abdominal | 4.48 | 1.59 | 23 | 3.5 | 1.82 | 22 | 5.32 | 2.11 | 19 | 4.36 | 2.25 | 11 | 4.58 | 0.67 | 12 | 2.6 | 2.07 | 5 | 3.88 | 1.71 | 16 | 5.83 | 2.04 | 6 | 5.08 | 2.18 | 13 | 4.8 | 1.66 | 15 | 3.88 | 1.36 | 8 | 3.75 | 1.91 | 12 | 3.33 | 1.8 | 9 | 5 | 1 | 9 | 5.6 | 2.8 | 10 | 4.92 | 1.51 | 12 | 4 | 1.61 | 11 | 3.17 | 1.99 | 12 | 3.9 | 1.6 | 10 | 6.5 | 1.52 | 6 | 4.77 | 2.17 | 13 |
abduct | 2.42 | 1.61 | 19 | 5.9 | 2.57 | 20 | 2.75 | 2.13 | 24 | 2.38 | 1.71 | 13 | 2.5 | 1.52 | 6 | 5 | 2.74 | 5 | 6.2 | 2.54 | 15 | 3.08 | 1.66 | 13 | 2.36 | 2.62 | 11 | 3.33 | 1.87 | 9 | 1.6 | 0.7 | 10 | 6 | 2.65 | 7 | 5.85 | 2.64 | 13 | 3 | 2.45 | 11 | 2.54 | 1.9 | 13 | 2.22 | 1.92 | 9 | 2.6 | 1.35 | 10 | 5.4 | 2.67 | 10 | 6.4 | 2.5 | 10 | 2.89 | 2.52 | 9 | 2.67 | 1.95 | 15 |
abduction | 2.05 | 1.31 | 19 | 5.33 | 2.2 | 21 | 3.02 | 2.42 | 48 | 2.67 | 1.97 | 6 | 1.77 | 0.83 | 13 | 5.25 | 2.43 | 8 | 5.38 | 2.14 | 13 | 3.47 | 2.4 | 17 | 2.77 | 2.43 | 31 | 2.5 | 1.51 | 10 | 1.56 | 0.88 | 9 | 5.78 | 1.3 | 9 | 5 | 2.7 | 12 | 2.58 | 1.96 | 26 | 3.55 | 2.82 | 22 | 1.75 | 0.89 | 8 | 2.27 | 1.56 | 11 | 5.7 | 1.49 | 10 | 5 | 2.72 | 11 | 3.03 | 2.39 | 30 | 3 | 2.54 | 18 |
abide | 5.52 | 1.75 | 21 | 3.26 | 2.22 | 23 | 5.33 | 2.83 | 18 | 5 | 1.87 | 9 | 5.92 | 1.62 | 12 | 4.45 | 2.3 | 11 | 2.17 | 1.53 | 12 | 5.6 | 2.55 | 10 | 5 | 3.3 | 8 | 4.29 | 2.06 | 7 | 6.23 | 1.24 | 13 | 4.09 | 2.3 | 11 | 2.5 | 1.93 | 12 | 5.29 | 3.3 | 7 | 5.36 | 2.66 | 11 | 5.38 | 2.1 | 13 | 5.75 | 1.04 | 8 | 2.82 | 2.04 | 11 | 3.67 | 2.39 | 12 | 3.44 | 2.24 | 9 | 7.22 | 1.99 | 9 |
abiding | 5.57 | 1.75 | 23 | 3.59 | 2.26 | 22 | 6.6 | 2.3 | 20 | 5.5 | 1.31 | 8 | 5.6 | 1.99 | 15 | 3.8 | 2.04 | 10 | 3.42 | 2.5 | 12 | 7.71 | 1.5 | 7 | 6 | 2.48 | 13 | 5.83 | 1.95 | 12 | 5.27 | 1.56 | 11 | 3.45 | 2.02 | 11 | 3.73 | 2.57 | 11 | 6.2 | 2.4 | 15 | 7.8 | 1.64 | 5 | 5.55 | 1.97 | 11 | 5.58 | 1.62 | 12 | 3.6 | 2.37 | 10 | 3.58 | 2.27 | 12 | 6.3 | 2.16 | 10 | 6.9 | 2.51 | 10 |
ability | 7 | 1.59 | 20 | 4.85 | 2.74 | 20 | 6.55 | 2.48 | 22 | 7.2 | 1.3 | 5 | 6.93 | 1.71 | 15 | 5.62 | 3.16 | 8 | 4.33 | 2.42 | 12 | 6.25 | 2.45 | 12 | 6.9 | 2.6 | 10 | 7 | 1.66 | 9 | 7 | 1.61 | 11 | 4.78 | 2.86 | 9 | 4.91 | 2.77 | 11 | 4.71 | 1.98 | 7 | 7.4 | 2.26 | 15 | 6.3 | 1.77 | 10 | 7.7 | 1.06 | 10 | 4.54 | 2.67 | 13 | 5.43 | 2.99 | 7 | 7 | 2.59 | 12 | 6 | 2.36 | 10 |
abject | 4 | 1.29 | 19 | 3.94 | 2.41 | 17 | 4.35 | 2.6 | 17 | 4.45 | 0.93 | 11 | 3.38 | 1.51 | 8 | 4.75 | 2.87 | 4 | 3.69 | 2.32 | 13 | 3.75 | 2.6 | 8 | 4.89 | 2.62 | 9 | 4.12 | 1.36 | 8 | 3.91 | 1.3 | 11 | 3.83 | 2.23 | 6 | 4 | 2.61 | 11 | 4 | 2.37 | 6 | 4.55 | 2.81 | 11 | 4.15 | 1.14 | 13 | 3.67 | 1.63 | 6 | 3.18 | 2.14 | 11 | 5.33 | 2.42 | 6 | 4.57 | 2.99 | 7 | 4.2 | 2.44 | 10 |
ablaze | 5.15 | 1.79 | 20 | 6.75 | 2.12 | 20 | 4.58 | 2.39 | 36 | 5.12 | 2.3 | 8 | 5.17 | 1.47 | 12 | 6.8 | 1.92 | 5 | 6.73 | 2.25 | 15 | 4.18 | 1.94 | 11 | 4.76 | 2.59 | 25 | 4.92 | 1.93 | 12 | 5.5 | 1.6 | 8 | 6.58 | 2.23 | 12 | 7 | 2.07 | 8 | 5.3 | 2.25 | 20 | 3.69 | 2.33 | 16 | 5.18 | 1.94 | 11 | 5.11 | 1.69 | 9 | 6.82 | 1.99 | 11 | 6.67 | 2.4 | 9 | 4.36 | 2.57 | 22 | 4.93 | 2.13 | 14 |
able | 6.64 | 1.79 | 22 | 3.38 | 2.25 | 21 | 6.17 | 2.62 | 18 | 6.67 | 2.07 | 6 | 6.53 | 1.77 | 15 | 2.71 | 1.89 | 7 | 3.71 | 2.4 | 14 | 5.33 | 2.96 | 9 | 7.38 | 1.85 | 8 | 6.29 | 1.86 | 14 | 7.14 | 1.68 | 7 | 2.78 | 1.64 | 9 | 3.83 | 2.59 | 12 | 6.7 | 2.79 | 10 | 5.5 | 2.39 | 8 | 6.71 | 1.82 | 14 | 6.5 | 1.85 | 8 | 3.67 | 2.8 | 6 | 3.27 | 2.09 | 15 | 7.3 | 1.95 | 10 | 4.75 | 2.76 | 8 |
abnormal | 3.53 | 1.22 | 19 | 4.48 | 2.29 | 21 | 4.7 | 2.44 | 23 | 4.33 | 1.15 | 3 | 3.38 | 1.2 | 16 | 4.88 | 2.3 | 8 | 4.23 | 2.35 | 13 | 5.44 | 2.4 | 9 | 4.21 | 2.42 | 14 | 3.11 | 1.27 | 9 | 3.9 | 1.1 | 10 | 4.56 | 2.19 | 9 | 4.42 | 2.47 | 12 | 5.4 | 2.56 | 15 | 3.38 | 1.6 | 8 | 3.43 | 1.13 | 7 | 3.58 | 1.31 | 12 | 5.4 | 1.84 | 10 | 3.64 | 2.42 | 11 | 4.85 | 3 | 13 | 4.5 | 1.58 | 10 |
abnormality | 3.05 | 1.81 | 19 | 5 | 2.62 | 22 | 3.96 | 2.5 | 23 | 2.55 | 1.51 | 11 | 4.14 | 1.86 | 7 | 6.5 | 2.39 | 8 | 4.14 | 2.41 | 14 | 4.86 | 3.39 | 7 | 3.56 | 2 | 16 | 3.5 | 2 | 8 | 2.73 | 1.68 | 11 | 5.44 | 2.96 | 9 | 4.69 | 2.43 | 13 | 4.82 | 2.64 | 11 | 3.17 | 2.17 | 12 | 2.92 | 2.07 | 12 | 3.29 | 1.38 | 7 | 4 | 2.86 | 11 | 6 | 2 | 11 | 3.77 | 2.42 | 13 | 4.2 | 2.7 | 10 |
abode | 5.28 | 1.27 | 18 | 2.9 | 1.89 | 21 | 5.05 | 2.44 | 20 | 6 | 0 | 3 | 5.13 | 1.36 | 15 | 2.67 | 1.51 | 6 | 3 | 2.07 | 15 | 5 | 1.9 | 6 | 5.07 | 2.7 | 14 | 5.4 | 0.52 | 10 | 5.12 | 1.89 | 8 | 3.29 | 2.36 | 7 | 2.71 | 1.68 | 14 | 4.9 | 2.51 | 10 | 5.2 | 2.49 | 10 | 5.29 | 1.11 | 7 | 5.27 | 1.42 | 11 | 2.56 | 2.07 | 9 | 3.17 | 1.8 | 12 | 4.62 | 3.16 | 8 | 5.33 | 1.92 | 12 |
abolish | 3.84 | 1.54 | 19 | 4.18 | 2.07 | 17 | 4.65 | 2.42 | 17 | 4.18 | 1.54 | 11 | 3.38 | 1.51 | 8 | 5 | 2.83 | 4 | 3.92 | 1.85 | 13 | 4.12 | 2.23 | 8 | 5.11 | 2.62 | 9 | 3.88 | 2.03 | 8 | 3.82 | 1.17 | 11 | 4.57 | 1.99 | 7 | 3.9 | 2.18 | 10 | 4 | 1.67 | 6 | 5 | 2.76 | 11 | 4.08 | 1.55 | 13 | 3.33 | 1.51 | 6 | 3.6 | 2.07 | 10 | 5 | 1.91 | 7 | 5.57 | 3.21 | 7 | 4 | 1.56 | 10 |
abominable | 4.05 | 1.23 | 20 | 5.45 | 2.44 | 22 | 4.62 | 1.83 | 21 | 3.78 | 0.97 | 9 | 4.27 | 1.42 | 11 | 6 | 2.21 | 10 | 5 | 2.63 | 12 | 4.75 | 1.67 | 8 | 4.54 | 1.98 | 13 | 4.14 | 0.86 | 14 | 3.83 | 1.94 | 6 | 5 | 2.56 | 8 | 5.71 | 2.43 | 14 | 5.5 | 2.07 | 8 | 4.08 | 1.5 | 13 | 4.2 | 0.92 | 10 | 3.9 | 1.52 | 10 | 4.75 | 2.53 | 12 | 6.3 | 2.16 | 10 | 4.67 | 1.83 | 12 | 4.56 | 1.94 | 9 |
abomination | 2.5 | 1.65 | 18 | 5.9 | 2.59 | 20 | 3.8 | 1.38 | 25 | 3 | 1.87 | 5 | 2.31 | 1.6 | 13 | 6.64 | 2.5 | 11 | 5 | 2.55 | 9 | 4.19 | 1.05 | 16 | 3.11 | 1.69 | 9 | 2.71 | 2.06 | 7 | 2.36 | 1.43 | 11 | 4.56 | 3 | 9 | 7 | 1.61 | 11 | 3.85 | 1.42 | 20 | 3.6 | 1.34 | 5 | 2.78 | 1.92 | 9 | 2.22 | 1.39 | 9 | 5.64 | 3.17 | 11 | 6.22 | 1.79 | 9 | 4 | 1.25 | 19 | 3.17 | 1.72 | 6 |
abort | 3.1 | 1.37 | 20 | 5.8 | 2.44 | 20 | 3.38 | 2.21 | 26 | 2.91 | 1.14 | 11 | 3.33 | 1.66 | 9 | 5.71 | 2.06 | 7 | 5.85 | 2.7 | 13 | 3.92 | 2.53 | 13 | 2.85 | 1.77 | 13 | 3.27 | 1.56 | 11 | 2.89 | 1.17 | 9 | 6.36 | 2.25 | 11 | 5.11 | 2.62 | 9 | 3.12 | 2.06 | 17 | 3.89 | 2.52 | 9 | 3.3 | 1.42 | 10 | 2.9 | 1.37 | 10 | 6 | 2.56 | 12 | 5.5 | 2.39 | 8 | 3.25 | 1.84 | 16 | 3.6 | 2.8 | 10 |
abortion | 2.58 | 1.84 | 19 | 5.43 | 2.38 | 47 | 4.73 | 2.95 | 44 | 2.8 | 2.05 | 5 | 2.5 | 1.83 | 14 | 4.93 | 2.16 | 14 | 5.64 | 2.47 | 33 | 4.27 | 2.93 | 22 | 5.18 | 2.97 | 22 | 2.8 | 1.81 | 10 | 2.33 | 1.94 | 9 | 5.61 | 2.44 | 23 | 5.25 | 2.36 | 24 | 4.59 | 2.95 | 29 | 5 | 3.05 | 15 | 2.91 | 1.92 | 11 | 2.12 | 1.73 | 8 | 5.12 | 2.39 | 25 | 5.77 | 2.39 | 22 | 4.16 | 3.1 | 25 | 5.47 | 2.63 | 19 |
abracadabra | 5.11 | 2.52 | 18 | 5.27 | 2.64 | 22 | 4.96 | 1.97 | 24 | 3.5 | 2.81 | 6 | 5.92 | 2.02 | 12 | 5.75 | 2.53 | 12 | 4.7 | 2.79 | 10 | 4.62 | 2.2 | 8 | 5.12 | 1.89 | 16 | 5.89 | 2.32 | 9 | 4.33 | 2.6 | 9 | 5.89 | 2.26 | 9 | 4.85 | 2.88 | 13 | 5.47 | 1.59 | 17 | 3.5 | 2.51 | 6 | 5.86 | 2.61 | 7 | 4.64 | 2.46 | 11 | 6.33 | 2.18 | 9 | 4.54 | 2.76 | 13 | 4.94 | 2.05 | 16 | 5 | 1.93 | 8 |
abrasive | 4.26 | 1.69 | 19 | 6.1 | 1.89 | 21 | 4.94 | 2.32 | 34 | 3.89 | 1.36 | 9 | 4.6 | 1.96 | 10 | 5.62 | 1.6 | 8 | 6.38 | 2.06 | 13 | 5.14 | 2.44 | 14 | 4.8 | 2.28 | 20 | 3.67 | 1.12 | 9 | 4.8 | 1.99 | 10 | 6 | 2.2 | 13 | 6.25 | 1.39 | 8 | 5.14 | 2.44 | 22 | 4.58 | 2.15 | 12 | 4.3 | 1.34 | 10 | 4.22 | 2.11 | 9 | 6 | 2.11 | 14 | 6.29 | 1.5 | 7 | 5.88 | 2.34 | 17 | 4 | 1.94 | 17 |
abreast | 4.62 | 1.94 | 21 | 4.61 | 2.33 | 23 | 5.19 | 1.99 | 21 | 4.2 | 2.17 | 5 | 4.75 | 1.91 | 16 | 4.92 | 2.61 | 12 | 4.27 | 2.05 | 11 | 5.18 | 1.94 | 11 | 4.78 | 1.79 | 9 | 3.83 | 2.08 | 12 | 5.67 | 1.12 | 9 | 5 | 2.22 | 16 | 3.71 | 2.5 | 7 | 5.36 | 1.43 | 11 | 5 | 2.54 | 10 | 4.85 | 2.23 | 13 | 4.25 | 1.39 | 8 | 4.89 | 2.33 | 19 | 3.25 | 2.06 | 4 | 5.07 | 1.69 | 14 | 5.43 | 2.64 | 7 |
abrupt | 3.28 | 1.64 | 18 | 5.23 | 2 | 22 | 3.75 | 1.8 | 24 | 3.4 | 1.52 | 5 | 3.23 | 1.74 | 13 | 6 | 1.71 | 12 | 4.3 | 2 | 10 | 3.38 | 1.06 | 8 | 3.94 | 2.08 | 16 | 3.8 | 1.69 | 10 | 2.62 | 1.41 | 8 | 6.11 | 1.54 | 9 | 4.62 | 2.1 | 13 | 3.71 | 1.65 | 17 | 3.67 | 2.42 | 6 | 2.88 | 1.81 | 8 | 3.6 | 1.51 | 10 | 4.22 | 1.3 | 9 | 5.92 | 2.14 | 13 | 4.06 | 1.81 | 16 | 3.12 | 1.73 | 8 |
abscess | 2.79 | 1.58 | 19 | 4 | 2.38 | 20 | 3.95 | 2.31 | 20 | 2.67 | 1.53 | 3 | 2.53 | 1.25 | 15 | 3.4 | 2.27 | 10 | 4.6 | 2.46 | 10 | 4.7 | 1.95 | 10 | 3.2 | 2.49 | 10 | 2.83 | 1.47 | 6 | 2.42 | 1.16 | 12 | 3.57 | 2.64 | 7 | 4.23 | 2.31 | 13 | 4.25 | 2.25 | 8 | 3.75 | 2.42 | 12 | 2.67 | 1.78 | 12 | 3 | 1.29 | 7 | 4.1 | 2.69 | 10 | 3.9 | 2.18 | 10 | 3.56 | 1.81 | 9 | 4.27 | 2.69 | 11 |
absence | 3.86 | 2.08 | 21 | 4.3 | 2.13 | 20 | 4.24 | 2.32 | 21 | 4.5 | 1.87 | 6 | 3.6 | 2.16 | 15 | 4.38 | 2.26 | 8 | 4.25 | 2.14 | 12 | 4.55 | 2.3 | 11 | 3.9 | 2.42 | 10 | 4 | 2.28 | 6 | 3.8 | 2.08 | 15 | 4.6 | 2.46 | 10 | 4 | 1.83 | 10 | 4.29 | 2.76 | 14 | 4.14 | 1.21 | 7 | 4.57 | 1.99 | 7 | 3.5 | 2.1 | 14 | 4.43 | 2.34 | 14 | 4 | 1.67 | 6 | 3.17 | 2.29 | 12 | 5.67 | 1.5 | 9 |
absent | 4.1 | 1.55 | 21 | 3.72 | 2.48 | 25 | 4.21 | 2.37 | 19 | 3.89 | 1.27 | 9 | 4.25 | 1.76 | 12 | 2.83 | 2.04 | 6 | 4.06 | 2.65 | 18 | 3.29 | 2.06 | 7 | 4.75 | 2.45 | 12 | 4.31 | 1.45 | 16 | 3.4 | 1.82 | 5 | 3.14 | 2.6 | 14 | 4.6 | 2.27 | 10 | 4.22 | 2.59 | 9 | 4.2 | 2.3 | 10 | 3.67 | 1.56 | 12 | 4.67 | 1.41 | 9 | 4.31 | 2.52 | 16 | 2.67 | 2.12 | 9 | 4.27 | 2.72 | 11 | 4.12 | 1.96 | 8 |
absinthe | 3.53 | 1.98 | 19 | 3.7 | 2.34 | 20 | 3.95 | 1.82 | 20 | 4.33 | 2.08 | 3 | 3.38 | 2 | 16 | 4.67 | 2.66 | 6 | 3.29 | 2.16 | 14 | 4.33 | 1.51 | 6 | 3.79 | 1.97 | 14 | 3.8 | 2.15 | 10 | 3.22 | 1.86 | 9 | 2.86 | 2.04 | 7 | 4.15 | 2.44 | 13 | 4.4 | 1.96 | 10 | 3.5 | 1.65 | 10 | 3 | 2 | 8 | 3.91 | 1.97 | 11 | 3.22 | 2.05 | 9 | 4.09 | 2.59 | 11 | 3.75 | 2.43 | 8 | 4.08 | 1.38 | 12 |
absolute | 5.43 | 1.4 | 21 | 3.48 | 2.27 | 23 | 5.58 | 2.66 | 26 | 5.45 | 1.63 | 11 | 5.4 | 1.17 | 10 | 4.09 | 2.63 | 11 | 2.92 | 1.83 | 12 | 6.18 | 3.19 | 11 | 4.93 | 2.13 | 14 | 5.3 | 1.7 | 10 | 5.55 | 1.13 | 11 | 4.36 | 2.77 | 11 | 2.67 | 1.37 | 12 | 6 | 2.32 | 17 | 4.38 | 3.16 | 8 | 5.85 | 1.63 | 13 | 4.75 | 0.46 | 8 | 3.53 | 2.33 | 15 | 3.38 | 2.33 | 8 | 6.18 | 2.24 | 17 | 4.44 | 3.13 | 9 |
absolution | 6.58 | 1.68 | 19 | 3.38 | 2.11 | 21 | 5.75 | 2.33 | 24 | 5.33 | 0.58 | 3 | 6.81 | 1.72 | 16 | 3.57 | 2.07 | 7 | 3.46 | 2.18 | 13 | 6.29 | 1.38 | 7 | 5.53 | 2.62 | 17 | 6.29 | 1.6 | 7 | 6.75 | 1.76 | 12 | 4.57 | 1.81 | 7 | 2.92 | 2.06 | 13 | 5.93 | 1.94 | 14 | 5.5 | 2.88 | 10 | 6 | 1.5 | 9 | 7.1 | 1.73 | 10 | 3 | 1.95 | 11 | 3.8 | 2.3 | 10 | 5.65 | 2.62 | 17 | 6 | 1.53 | 7 |
absolve | 4.58 | 1.54 | 19 | 3.53 | 1.94 | 17 | 4.82 | 2.46 | 17 | 5 | 1.61 | 11 | 4 | 1.31 | 8 | 3.75 | 2.75 | 4 | 3.46 | 1.76 | 13 | 4.38 | 2.26 | 8 | 5.22 | 2.68 | 9 | 5 | 1.85 | 8 | 4.27 | 1.27 | 11 | 3 | 1.63 | 7 | 3.9 | 2.13 | 10 | 4.5 | 1.87 | 6 | 5 | 2.79 | 11 | 4.69 | 1.7 | 13 | 4.33 | 1.21 | 6 | 3.1 | 2.02 | 10 | 4.14 | 1.77 | 7 | 5.43 | 2.64 | 7 | 4.4 | 2.37 | 10 |
absorb | 5.5 | 1.6 | 22 | 4.27 | 1.91 | 22 | 5.62 | 1.66 | 24 | 5 | 1.85 | 8 | 5.79 | 1.42 | 14 | 5.08 | 1.98 | 12 | 3.3 | 1.34 | 10 | 6.25 | 1.39 | 8 | 5.31 | 1.74 | 16 | 5.82 | 1.08 | 11 | 5.18 | 1.99 | 11 | 5.11 | 1.9 | 9 | 3.69 | 1.75 | 13 | 5.53 | 1.62 | 17 | 6 | 2 | 6 | 5.3 | 1.16 | 10 | 5.67 | 1.92 | 12 | 3.67 | 1.87 | 9 | 4.69 | 1.89 | 13 | 5.75 | 1.77 | 16 | 5.38 | 1.51 | 8 |
abstain | 4.4 | 0.94 | 20 | 3.1 | 1.81 | 21 | 6.08 | 2.25 | 25 | 4 | 1 | 3 | 4.47 | 0.94 | 17 | 3.43 | 2.3 | 7 | 3 | 1.63 | 13 | 5.75 | 2.66 | 8 | 6.24 | 2.11 | 17 | 4.29 | 0.95 | 7 | 4.46 | 0.97 | 13 | 3.43 | 1.51 | 7 | 3 | 2.04 | 13 | 5.86 | 2.28 | 14 | 6.36 | 2.29 | 11 | 4.78 | 0.97 | 9 | 4.09 | 0.83 | 11 | 3.09 | 1.7 | 11 | 3.1 | 2.02 | 10 | 5.94 | 2.48 | 18 | 6.43 | 1.62 | 7 |
abstinence | 3.43 | 1.63 | 21 | 3.15 | 2.37 | 20 | 5.64 | 2.85 | 22 | 4 | 1.79 | 6 | 3.2 | 1.57 | 15 | 3.12 | 2.17 | 8 | 3.17 | 2.59 | 12 | 5.5 | 3.21 | 12 | 5.8 | 2.53 | 10 | 3 | 2.18 | 9 | 3.75 | 1.06 | 12 | 3.11 | 2.03 | 9 | 3.18 | 2.71 | 11 | 4.57 | 2.82 | 7 | 6.13 | 2.83 | 15 | 3.1 | 1.85 | 10 | 3.73 | 1.42 | 11 | 3.23 | 2.2 | 13 | 3 | 2.83 | 7 | 6 | 3.1 | 12 | 5.2 | 2.62 | 10 |
abstract | 5.25 | 1.59 | 20 | 3.96 | 2.9 | 24 | 5.53 | 2.59 | 19 | 5.43 | 0.98 | 7 | 5.15 | 1.86 | 13 | 5.33 | 2.88 | 6 | 3.5 | 2.83 | 18 | 5.55 | 2.62 | 11 | 5.5 | 2.73 | 8 | 5.25 | 1.48 | 12 | 5.25 | 1.83 | 8 | 4.8 | 3.12 | 10 | 3.36 | 2.68 | 14 | 5.77 | 2.83 | 13 | 5 | 2.1 | 6 | 5.36 | 1.6 | 14 | 5 | 1.67 | 6 | 5.25 | 2.65 | 16 | 1.38 | 1.06 | 8 | 6 | 2.37 | 11 | 4.88 | 2.9 | 8 |
absurd | 4.45 | 1.92 | 40 | 4.02 | 2.06 | 43 | 5.06 | 2.39 | 18 | 4.57 | 1.74 | 14 | 4.36 | 2.08 | 25 | 4.3 | 2.03 | 20 | 3.78 | 2.11 | 23 | 4.7 | 2.54 | 10 | 5.5 | 2.27 | 8 | 4.56 | 1.46 | 16 | 4.35 | 2.25 | 23 | 3.42 | 2.32 | 19 | 4.5 | 1.74 | 24 | 4.86 | 2.48 | 7 | 5.18 | 2.44 | 11 | 4.08 | 1.89 | 24 | 5 | 1.9 | 16 | 4.11 | 2.08 | 27 | 3.88 | 2.09 | 16 | 4.67 | 2.06 | 9 | 5.44 | 2.74 | 9 |
absurdity | 4.06 | 2.18 | 18 | 4.7 | 2.36 | 23 | 5.37 | 2.29 | 19 | 3.78 | 1.64 | 9 | 4.33 | 2.69 | 9 | 4.29 | 2.69 | 7 | 5.07 | 2.22 | 15 | 6.5 | 2.07 | 10 | 4.11 | 1.9 | 9 | 4.38 | 2.97 | 8 | 3.8 | 1.4 | 10 | 4.5 | 3.03 | 10 | 5.08 | 1.68 | 12 | 5.5 | 1.6 | 8 | 5 | 2.75 | 10 | 4.45 | 2.58 | 11 | 3.43 | 1.27 | 7 | 4.55 | 2.46 | 20 | 5.67 | 1.53 | 3 | 5.62 | 1.51 | 8 | 5.18 | 2.79 | 11 |
abundance | 6.67 | 1.5 | 18 | 4.72 | 2.7 | 18 | 5.66 | 2.19 | 62 | 6.67 | 1.53 | 3 | 6.67 | 1.54 | 15 | 4.33 | 2.5 | 6 | 4.92 | 2.87 | 12 | 5.45 | 2.3 | 22 | 5.85 | 2.13 | 39 | 6.22 | 1.48 | 9 | 7.11 | 1.45 | 9 | 4.6 | 2.72 | 10 | 4.88 | 2.85 | 8 | 5.57 | 2.33 | 37 | 5.92 | 1.98 | 24 | 6.86 | 1.07 | 7 | 6.55 | 1.75 | 11 | 4.11 | 3.02 | 9 | 5.33 | 2.35 | 9 | 5.82 | 2.35 | 39 | 5.39 | 1.92 | 23 |
abundant | 7.55 | 1.39 | 20 | 4.21 | 2.7 | 19 | 5.81 | 1.88 | 26 | 7.64 | 1.5 | 11 | 7.44 | 1.33 | 9 | 4 | 2.45 | 7 | 4.33 | 2.93 | 12 | 5.77 | 1.64 | 13 | 5.85 | 2.15 | 13 | 7 | 1.61 | 11 | 8.22 | 0.67 | 9 | 4.7 | 2.95 | 10 | 3.67 | 2.45 | 9 | 6 | 2 | 17 | 5.44 | 1.67 | 9 | 7.6 | 1.78 | 10 | 7.5 | 0.97 | 10 | 4.92 | 2.91 | 12 | 3 | 1.91 | 7 | 5.44 | 1.63 | 16 | 6.4 | 2.17 | 10 |
abuse | 1.53 | 1.07 | 19 | 6.21 | 2.17 | 42 | 2.9 | 2.17 | 20 | 1.67 | 1.03 | 6 | 1.46 | 1.13 | 13 | 5.6 | 2.47 | 15 | 6.56 | 1.95 | 27 | 2.8 | 1.87 | 10 | 3 | 2.54 | 10 | 1.3 | 0.67 | 10 | 1.78 | 1.39 | 9 | 5.67 | 2.47 | 15 | 6.52 | 1.97 | 27 | 3.38 | 2.2 | 8 | 2.58 | 2.19 | 12 | 1.25 | 0.46 | 8 | 1.73 | 1.35 | 11 | 5.91 | 2.31 | 22 | 6.55 | 2.01 | 20 | 3.89 | 2.32 | 9 | 2.09 | 1.76 | 11 |
abusive | 2.05 | 1.7 | 20 | 5.27 | 2.43 | 22 | 3.58 | 2.5 | 19 | 2 | 1.32 | 9 | 2.09 | 2.02 | 11 | 4 | 2.55 | 5 | 5.56 | 2.39 | 16 | 3.17 | 2.64 | 6 | 3.77 | 2.52 | 13 | 1.64 | 1.15 | 14 | 3 | 2.45 | 6 | 4.83 | 2.92 | 12 | 5.67 | 1.73 | 9 | 4.33 | 2.29 | 9 | 2.9 | 2.6 | 10 | 1.9 | 1.29 | 10 | 2.2 | 2.1 | 10 | 4.33 | 2.67 | 12 | 6.4 | 1.58 | 10 | 3.67 | 3.08 | 6 | 3.54 | 2.33 | 13 |
abysmal | 3.45 | 1.39 | 20 | 3.91 | 1.98 | 23 | 3.76 | 1.64 | 21 | 2.67 | 1.12 | 9 | 4.09 | 1.3 | 11 | 4 | 2.19 | 11 | 3.83 | 1.85 | 12 | 3.5 | 0.93 | 8 | 3.92 | 1.98 | 13 | 3.36 | 1.08 | 14 | 3.67 | 2.07 | 6 | 3.56 | 2.46 | 9 | 4.14 | 1.66 | 14 | 4.62 | 1.6 | 8 | 3.23 | 1.48 | 13 | 4 | 0.94 | 10 | 2.9 | 1.6 | 10 | 3.62 | 1.76 | 13 | 4.3 | 2.26 | 10 | 4 | 1.81 | 12 | 3.44 | 1.42 | 9 |
abyss | 3.9 | 1.51 | 21 | 4.85 | 2.41 | 20 | 4 | 2.68 | 21 | 4.33 | 1.51 | 6 | 3.73 | 1.53 | 15 | 5.12 | 2.8 | 8 | 4.67 | 2.23 | 12 | 3.91 | 2.88 | 11 | 4.1 | 2.6 | 10 | 3.83 | 1.72 | 6 | 3.93 | 1.49 | 15 | 4.8 | 2.82 | 10 | 4.9 | 2.08 | 10 | 4.43 | 2.79 | 14 | 3.14 | 2.41 | 7 | 3.86 | 1.77 | 7 | 3.93 | 1.44 | 14 | 4.57 | 2.82 | 14 | 5.5 | 0.84 | 6 | 3.42 | 2.57 | 12 | 4.78 | 2.77 | 9 |
academic | 6.61 | 1.54 | 18 | 3.32 | 2.23 | 22 | 6.21 | 2.13 | 28 | 6.17 | 1.17 | 6 | 6.83 | 1.7 | 12 | 2.91 | 2.07 | 11 | 3.73 | 2.41 | 11 | 6.18 | 2.14 | 11 | 6.24 | 2.19 | 17 | 6.45 | 1.51 | 11 | 6.86 | 1.68 | 7 | 3.09 | 1.87 | 11 | 3.55 | 2.62 | 11 | 5.67 | 2.22 | 18 | 7.2 | 1.62 | 10 | 6.23 | 1.54 | 13 | 7.6 | 1.14 | 5 | 3.5 | 2.44 | 14 | 3 | 1.93 | 8 | 6.19 | 2.43 | 16 | 6.25 | 1.76 | 12 |
academy | 5.32 | 1.89 | 19 | 3.77 | 2.16 | 22 | 5.38 | 1.71 | 24 | 4.83 | 2.04 | 6 | 5.54 | 1.85 | 13 | 4.33 | 2.46 | 12 | 3.1 | 1.6 | 10 | 5.25 | 1.91 | 8 | 5.44 | 1.67 | 16 | 5.3 | 1.7 | 10 | 5.33 | 2.18 | 9 | 4.89 | 2.2 | 9 | 3 | 1.83 | 13 | 5.24 | 1.92 | 17 | 5.83 | 1.17 | 6 | 5.25 | 1.75 | 8 | 5.36 | 2.06 | 11 | 3.67 | 2.55 | 9 | 3.85 | 1.95 | 13 | 5.38 | 1.86 | 16 | 5.38 | 1.51 | 8 |
accelerant | 4.59 | 1.59 | 22 | 4.81 | 2.14 | 26 | 6.04 | 2.01 | 24 | 4.11 | 1.76 | 9 | 4.92 | 1.44 | 13 | 4.7 | 1.95 | 10 | 4.88 | 2.31 | 16 | 6.78 | 1.86 | 9 | 5.6 | 2.03 | 15 | 4.25 | 2.49 | 8 | 4.79 | 0.8 | 14 | 4.85 | 1.99 | 13 | 4.77 | 2.35 | 13 | 5.67 | 2.35 | 12 | 6.42 | 1.62 | 12 | 5 | 1.48 | 12 | 4.1 | 1.66 | 10 | 5.27 | 2.34 | 15 | 4.18 | 1.72 | 11 | 6.23 | 2.09 | 13 | 5.82 | 1.99 | 11 |
accelerate | 6.1 | 1.48 | 21 | 6.04 | 1.77 | 23 | 6.15 | 2.07 | 26 | 6 | 1.34 | 11 | 6.2 | 1.69 | 10 | 6.27 | 1.95 | 11 | 5.83 | 1.64 | 12 | 6.27 | 1.9 | 11 | 6.29 | 2.16 | 14 | 6.7 | 1.64 | 10 | 5.55 | 1.13 | 11 | 6.36 | 2.01 | 11 | 5.75 | 1.54 | 12 | 5.76 | 2.02 | 17 | 7.38 | 1.6 | 8 | 6.62 | 1.66 | 13 | 5.25 | 0.46 | 8 | 6.07 | 1.67 | 15 | 6 | 2.07 | 8 | 6 | 2.32 | 17 | 6.44 | 1.59 | 9 |
accelerated | 6.21 | 1.55 | 19 | 4.75 | 2.67 | 24 | 6.29 | 1.92 | 28 | 6 | 0.76 | 8 | 6.36 | 1.96 | 11 | 3.89 | 2.15 | 9 | 5.27 | 2.89 | 15 | 6.07 | 1.77 | 14 | 6.5 | 2.1 | 14 | 6.44 | 1.81 | 9 | 6 | 1.33 | 10 | 4.25 | 2.67 | 12 | 5.25 | 2.7 | 12 | 6.07 | 2.34 | 14 | 6.5 | 1.45 | 14 | 6.2 | 1.87 | 10 | 6.22 | 1.2 | 9 | 5.33 | 2.9 | 12 | 4.17 | 2.41 | 12 | 6.5 | 1.98 | 12 | 6.12 | 1.93 | 16 |
acceleration | 6.19 | 1.54 | 21 | 6.73 | 2.1 | 22 | 5.76 | 2.05 | 21 | 6.56 | 1.81 | 9 | 5.92 | 1.31 | 12 | 5.67 | 2.8 | 6 | 7 | 1.69 | 15 | 6 | 2.1 | 6 | 5.67 | 2.09 | 15 | 6.22 | 1.64 | 9 | 6.17 | 1.53 | 12 | 7.6 | 1.67 | 5 | 6.47 | 2.18 | 17 | 5.1 | 1.85 | 10 | 6.36 | 2.11 | 11 | 6.5 | 1.93 | 12 | 5.78 | 0.67 | 9 | 7.44 | 1.33 | 9 | 6.23 | 2.42 | 13 | 5.58 | 1.83 | 12 | 6 | 2.4 | 9 |
accelerator | 5.63 | 1.16 | 19 | 5 | 2.45 | 18 | 6.65 | 1.84 | 17 | 6 | 1 | 11 | 5.12 | 1.25 | 8 | 6 | 2.71 | 4 | 4.71 | 2.4 | 14 | 6.25 | 2.12 | 8 | 7 | 1.58 | 9 | 5.88 | 0.83 | 8 | 5.45 | 1.37 | 11 | 5.86 | 1.95 | 7 | 4.45 | 2.66 | 11 | 6.17 | 2.4 | 6 | 6.91 | 1.51 | 11 | 5.38 | 1.12 | 13 | 6.17 | 1.17 | 6 | 4.18 | 2.68 | 11 | 6.29 | 1.38 | 7 | 7.14 | 1.21 | 7 | 6.3 | 2.16 | 10 |
accent | 6.48 | 1.54 | 21 | 4.95 | 2.67 | 20 | 5.36 | 2.47 | 36 | 6.5 | 2 | 8 | 6.46 | 1.27 | 13 | 4.4 | 2.19 | 5 | 5.13 | 2.85 | 15 | 4.91 | 2.34 | 11 | 5.56 | 2.55 | 25 | 6.69 | 1.75 | 13 | 6.12 | 1.13 | 8 | 5.17 | 2.76 | 12 | 4.62 | 2.67 | 8 | 5.35 | 2.74 | 20 | 5.38 | 2.19 | 16 | 6.45 | 1.57 | 11 | 6.5 | 1.58 | 10 | 5.55 | 2.73 | 11 | 4.22 | 2.54 | 9 | 5.45 | 2.74 | 22 | 5.21 | 2.08 | 14 |
accept | 6.39 | 1.65 | 18 | 2.8 | 2.26 | 20 | 5.94 | 2.13 | 18 | 5.62 | 1.85 | 8 | 7 | 1.25 | 10 | 2.71 | 1.98 | 7 | 2.85 | 2.48 | 13 | 5.27 | 2.24 | 11 | 7 | 1.53 | 7 | 5.91 | 1.7 | 11 | 7.14 | 1.35 | 7 | 2.11 | 1.96 | 9 | 3.36 | 2.42 | 11 | 6.45 | 2.07 | 11 | 5.14 | 2.12 | 7 | 6.33 | 1.72 | 12 | 6.5 | 1.64 | 6 | 2.42 | 1.98 | 12 | 3.38 | 2.67 | 8 | 5.33 | 2.6 | 9 | 6.56 | 1.42 | 9 |
acceptable | 6.59 | 1.53 | 22 | 3.65 | 2.33 | 23 | 6.58 | 1.92 | 19 | 6.88 | 1.64 | 8 | 6.23 | 1.36 | 13 | 4 | 2.33 | 8 | 3.43 | 2.47 | 14 | 6.86 | 1.68 | 7 | 6.36 | 2.2 | 11 | 7 | 1.85 | 8 | 6.15 | 1.14 | 13 | 3.33 | 2.92 | 9 | 3.86 | 1.96 | 14 | 6.14 | 2.48 | 7 | 6.83 | 1.59 | 12 | 6.64 | 1.57 | 11 | 6.55 | 1.57 | 11 | 3.22 | 3.07 | 9 | 3.93 | 1.77 | 14 | 6.94 | 1.39 | 16 | 4.67 | 3.51 | 3 |
acceptance | 6.84 | 1.31 | 38 | 4.3 | 2.82 | 46 | 6.49 | 2.43 | 47 | 6.92 | 1.28 | 24 | 6.71 | 1.38 | 14 | 4.67 | 2.78 | 21 | 4 | 2.87 | 25 | 6.52 | 2.16 | 21 | 6.46 | 2.67 | 26 | 6.88 | 1.45 | 17 | 6.81 | 1.21 | 21 | 4.52 | 2.82 | 27 | 4 | 2.87 | 19 | 6.39 | 2.47 | 28 | 6.63 | 2.43 | 19 | 6.68 | 1.29 | 22 | 7.06 | 1.34 | 16 | 4.57 | 3.05 | 30 | 3.81 | 2.34 | 16 | 5.96 | 2.86 | 27 | 7.2 | 1.47 | 20 |
access | 6.68 | 1.39 | 22 | 5.3 | 2.32 | 20 | 6.89 | 2.18 | 19 | 6.46 | 1.45 | 13 | 7 | 1.32 | 9 | 5.71 | 1.89 | 7 | 5.08 | 2.56 | 13 | 6.71 | 1.7 | 7 | 7 | 2.49 | 12 | 6.67 | 1.56 | 12 | 6.7 | 1.25 | 10 | 5.33 | 2.4 | 9 | 5.27 | 2.37 | 11 | 6.3 | 2.31 | 10 | 7.56 | 1.94 | 9 | 6.92 | 1.44 | 12 | 6.4 | 1.35 | 10 | 6.71 | 1.6 | 7 | 4.54 | 2.33 | 13 | 7 | 2.52 | 7 | 6.83 | 2.08 | 12 |
accessible | 6.68 | 1.38 | 19 | 3.2 | 2.42 | 25 | 6.58 | 2.24 | 19 | 6.12 | 0.99 | 8 | 7.09 | 1.51 | 11 | 3.17 | 2.56 | 6 | 3.33 | 2.45 | 18 | 5.71 | 2.69 | 7 | 7.08 | 1.88 | 12 | 6.43 | 1.34 | 14 | 7.4 | 1.34 | 5 | 2.79 | 2.58 | 14 | 4 | 2.11 | 10 | 5.33 | 2.4 | 9 | 7.7 | 1.42 | 10 | 6.82 | 1.25 | 11 | 6.5 | 1.6 | 8 | 3.44 | 2.45 | 16 | 2.78 | 2.44 | 9 | 6.36 | 2.73 | 11 | 6.88 | 1.46 | 8 |
accessory | 5.35 | 1.9 | 20 | 4.22 | 2.69 | 18 | 5.83 | 2.43 | 24 | 5.8 | 0.84 | 5 | 5.2 | 2.14 | 15 | 4.4 | 2.07 | 5 | 4.15 | 2.97 | 13 | 5.31 | 2.59 | 13 | 6.45 | 2.16 | 11 | 5.2 | 1.99 | 10 | 5.5 | 1.9 | 10 | 4.86 | 2.61 | 7 | 3.82 | 2.79 | 11 | 5.31 | 2.63 | 16 | 6.88 | 1.64 | 8 | 5.36 | 2.06 | 14 | 5.33 | 1.63 | 6 | 4.75 | 2.7 | 12 | 3.17 | 2.56 | 6 | 6.27 | 2.46 | 15 | 5.11 | 2.32 | 9 |
accident | 2.55 | 1.25 | 42 | 4.93 | 2.56 | 43 | 3 | 2.11 | 48 | 2.55 | 1.22 | 22 | 2.55 | 1.32 | 20 | 4.2 | 2.51 | 15 | 5.32 | 2.54 | 28 | 4.22 | 2.71 | 18 | 2.27 | 1.2 | 30 | 2.52 | 1.29 | 21 | 2.57 | 1.25 | 21 | 4.94 | 2.58 | 18 | 4.92 | 2.6 | 25 | 3.33 | 2.35 | 33 | 2.27 | 1.22 | 15 | 2.36 | 1.29 | 25 | 2.82 | 1.19 | 17 | 5.08 | 2.7 | 24 | 4.74 | 2.42 | 19 | 2.85 | 2.31 | 26 | 3.18 | 1.89 | 22 |
accidental | 3.46 | 1.25 | 24 | 4 | 2.47 | 20 | 3.41 | 2.59 | 22 | 3.38 | 1.19 | 8 | 3.5 | 1.32 | 16 | 5.38 | 2.13 | 8 | 3.08 | 2.31 | 12 | 3.5 | 2.78 | 12 | 3.3 | 2.5 | 10 | 3.2 | 1.14 | 10 | 3.64 | 1.34 | 14 | 5.33 | 2.35 | 9 | 2.91 | 2.07 | 11 | 4.43 | 2.07 | 7 | 2.93 | 2.74 | 15 | 3.42 | 1.44 | 12 | 3.5 | 1.09 | 12 | 4.31 | 2.69 | 13 | 3.43 | 2.07 | 7 | 3.08 | 2.5 | 12 | 3.8 | 2.78 | 10 |
acclaim | 6.1 | 1.61 | 21 | 3.95 | 2.01 | 22 | 5.77 | 1.88 | 22 | 6 | 1.8 | 9 | 6.17 | 1.53 | 12 | 3.5 | 2.51 | 6 | 4.13 | 1.92 | 15 | 6.33 | 2.07 | 6 | 5.56 | 1.82 | 16 | 5.67 | 1.66 | 9 | 6.42 | 1.56 | 12 | 5.2 | 2.68 | 5 | 3.59 | 1.7 | 17 | 5.55 | 2.07 | 11 | 6 | 1.73 | 11 | 6.25 | 1.71 | 12 | 5.89 | 1.54 | 9 | 3.89 | 1.54 | 9 | 4 | 2.35 | 13 | 5.67 | 2.02 | 12 | 5.9 | 1.79 | 10 |
accommodate | 6.35 | 1.73 | 20 | 3 | 1.61 | 18 | 6.27 | 1.96 | 22 | 6.4 | 1.82 | 5 | 6.33 | 1.76 | 15 | 2.83 | 1.17 | 6 | 3.08 | 1.83 | 12 | 5.4 | 2.07 | 10 | 7 | 1.6 | 12 | 6.6 | 1.43 | 10 | 6.1 | 2.02 | 10 | 2.5 | 1.08 | 10 | 3.62 | 2 | 8 | 6.55 | 1.86 | 11 | 6 | 2.1 | 11 | 6.08 | 1.44 | 12 | 6.75 | 2.12 | 8 | 2.33 | 1.5 | 9 | 3.67 | 1.5 | 9 | 6.55 | 1.92 | 11 | 6 | 2.05 | 11 |
accommodation | 6.76 | 1.7 | 21 | 4.72 | 2.07 | 25 | 6 | 2.29 | 22 | 6.88 | 1.36 | 8 | 6.69 | 1.93 | 13 | 4.92 | 2.25 | 13 | 4.5 | 1.93 | 12 | 6.31 | 2.39 | 13 | 5.56 | 2.19 | 9 | 7.25 | 1.67 | 8 | 6.33 | 1.72 | 12 | 5.5 | 1.34 | 14 | 3.73 | 2.45 | 11 | 6.58 | 2.23 | 12 | 5.3 | 2.26 | 10 | 6.8 | 1.81 | 10 | 6.73 | 1.68 | 11 | 4.35 | 2.23 | 17 | 5.5 | 1.51 | 8 | 5.4 | 2.72 | 10 | 6.5 | 1.83 | 12 |
accompany | 5.47 | 1.22 | 19 | 3.85 | 1.84 | 20 | 5.63 | 2.36 | 19 | 5 | 1 | 3 | 5.56 | 1.26 | 16 | 4.67 | 1.51 | 6 | 3.5 | 1.91 | 14 | 5 | 2.19 | 6 | 5.92 | 2.47 | 13 | 5.7 | 0.95 | 10 | 5.22 | 1.48 | 9 | 3.86 | 2.12 | 7 | 3.85 | 1.77 | 13 | 5.11 | 2.37 | 9 | 6.1 | 2.38 | 10 | 5.38 | 0.92 | 8 | 5.55 | 1.44 | 11 | 3.78 | 1.99 | 9 | 3.91 | 1.81 | 11 | 6.43 | 2.99 | 7 | 5.17 | 1.9 | 12 |
accomplice | 4.6 | 1.39 | 20 | 4.5 | 2.61 | 20 | 5.2 | 2.5 | 25 | 5.33 | 1.53 | 3 | 4.47 | 1.37 | 17 | 5.14 | 2.67 | 7 | 4.33 | 2.64 | 12 | 5.62 | 1.85 | 8 | 5 | 2.78 | 17 | 5 | 1.53 | 7 | 4.38 | 1.33 | 13 | 5 | 2.61 | 6 | 4.46 | 2.7 | 13 | 4.86 | 2.66 | 14 | 5.64 | 2.34 | 11 | 4.56 | 1.33 | 9 | 4.64 | 1.5 | 11 | 5.1 | 2.73 | 10 | 3.9 | 2.47 | 10 | 4.78 | 2.76 | 18 | 6.29 | 1.25 | 7 |
accomplish | 7.45 | 1.15 | 20 | 5.16 | 2.81 | 19 | 7.27 | 1.52 | 22 | 7.43 | 1.27 | 7 | 7.46 | 1.13 | 13 | 4.89 | 2.62 | 9 | 5.4 | 3.1 | 10 | 7.33 | 1.86 | 6 | 7.25 | 1.44 | 16 | 7.5 | 1.43 | 10 | 7.44 | 0.88 | 9 | 4 | 3.42 | 8 | 6 | 2.05 | 11 | 6.8 | 1.57 | 15 | 8.29 | 0.76 | 7 | 7.27 | 1.1 | 11 | 7.67 | 1.22 | 9 | 4.75 | 2.96 | 12 | 5.86 | 2.61 | 7 | 6.73 | 1.9 | 11 | 7.82 | 0.75 | 11 |
accomplishment | 8.05 | 0.86 | 21 | 4.96 | 2.3 | 25 | 6.5 | 2.44 | 22 | 7.88 | 1.13 | 8 | 8.15 | 0.69 | 13 | 5.38 | 2.33 | 13 | 4.5 | 2.28 | 12 | 6.46 | 2.47 | 13 | 6.56 | 2.55 | 9 | 8.25 | 0.89 | 8 | 7.83 | 0.83 | 12 | 5.64 | 1.86 | 14 | 4.09 | 2.59 | 11 | 7 | 2.22 | 12 | 5.9 | 2.69 | 10 | 8.5 | 0.53 | 10 | 7.64 | 0.92 | 11 | 4.76 | 2.51 | 17 | 5.38 | 1.85 | 8 | 6.6 | 2.84 | 10 | 6.42 | 2.19 | 12 |
accord | 6.38 | 1.56 | 21 | 2.85 | 1.9 | 20 | 5.64 | 2.89 | 22 | 6.17 | 1.6 | 6 | 6.47 | 1.6 | 15 | 3.25 | 2.12 | 8 | 2.58 | 1.78 | 12 | 5.42 | 3.29 | 12 | 5.9 | 2.47 | 10 | 6.33 | 1.73 | 9 | 6.42 | 1.51 | 12 | 3.22 | 1.92 | 9 | 2.55 | 1.92 | 11 | 3.14 | 2.48 | 7 | 6.8 | 2.31 | 15 | 6.2 | 1.62 | 10 | 6.55 | 1.57 | 11 | 2.92 | 2.06 | 13 | 2.71 | 1.7 | 7 | 6 | 3.33 | 12 | 5.2 | 2.35 | 10 |
accordion | 5.26 | 2.08 | 19 | 2.94 | 2.21 | 18 | 5.21 | 2.11 | 24 | 6 | 1.87 | 5 | 5 | 2.15 | 14 | 3.2 | 1.92 | 5 | 2.85 | 2.38 | 13 | 4.31 | 1.89 | 13 | 6.27 | 1.9 | 11 | 5.2 | 2.15 | 10 | 5.33 | 2.12 | 9 | 3.14 | 2.19 | 7 | 2.82 | 2.32 | 11 | 4.62 | 2.06 | 16 | 6.38 | 1.77 | 8 | 4.85 | 2.23 | 13 | 6.17 | 1.47 | 6 | 2.92 | 2.02 | 12 | 3 | 2.76 | 6 | 5.27 | 2.25 | 15 | 5.11 | 1.96 | 9 |
account | 5.39 | 1.61 | 18 | 3.76 | 2.49 | 21 | 5.06 | 2.21 | 18 | 4.75 | 1.39 | 8 | 5.9 | 1.66 | 10 | 3.57 | 2.82 | 7 | 3.86 | 2.41 | 14 | 5 | 2.05 | 11 | 5.14 | 2.61 | 7 | 5.18 | 1.72 | 11 | 5.71 | 1.5 | 7 | 2.67 | 2.4 | 9 | 4.58 | 2.31 | 12 | 6 | 1.73 | 11 | 3.57 | 2.15 | 7 | 5.17 | 0.72 | 12 | 5.83 | 2.71 | 6 | 3 | 2.41 | 12 | 4.78 | 2.33 | 9 | 5.11 | 2.62 | 9 | 5 | 1.87 | 9 |
accountability | 4.89 | 1.94 | 19 | 3.7 | 2.27 | 20 | 6.55 | 2.46 | 20 | 5.67 | 0.58 | 3 | 4.67 | 2.13 | 15 | 2.7 | 1.42 | 10 | 4.7 | 2.58 | 10 | 6.7 | 2.36 | 10 | 6.4 | 2.67 | 10 | 3 | 1.55 | 6 | 5.75 | 1.48 | 12 | 2.71 | 1.25 | 7 | 4.23 | 2.55 | 13 | 5.62 | 2.92 | 8 | 7.17 | 1.99 | 12 | 5.5 | 1.83 | 12 | 3.86 | 1.77 | 7 | 3 | 2.11 | 10 | 4.4 | 2.32 | 10 | 6.89 | 2.8 | 9 | 6.27 | 2.24 | 11 |
accountable | 5.7 | 1.69 | 20 | 4.2 | 1.96 | 20 | 5.57 | 2.29 | 21 | 5.5 | 1.52 | 6 | 5.79 | 1.81 | 14 | 4.38 | 1.51 | 8 | 4.08 | 2.27 | 12 | 5.45 | 2.11 | 11 | 5.7 | 2.58 | 10 | 5.67 | 1.63 | 6 | 5.71 | 1.77 | 14 | 4.8 | 2.04 | 10 | 3.6 | 1.78 | 10 | 5.71 | 2.64 | 14 | 5.29 | 1.5 | 7 | 6 | 1 | 7 | 5.54 | 1.98 | 13 | 4.36 | 2.02 | 14 | 3.83 | 1.94 | 6 | 5.5 | 2.24 | 12 | 5.67 | 2.5 | 9 |
accountant | 5.19 | 1.69 | 21 | 3.81 | 2.18 | 21 | 5.72 | 2.05 | 25 | 5.5 | 1.09 | 12 | 4.78 | 2.28 | 9 | 4.29 | 2.43 | 7 | 3.57 | 2.1 | 14 | 6 | 1.89 | 10 | 5.53 | 2.2 | 15 | 6 | 2 | 4 | 5 | 1.62 | 17 | 3.6 | 2.59 | 10 | 4 | 1.84 | 11 | 6.29 | 2.14 | 7 | 5.5 | 2.04 | 18 | 5.42 | 1.93 | 12 | 4.89 | 1.36 | 9 | 3.69 | 1.49 | 13 | 4 | 3.12 | 8 | 5.11 | 2.09 | 9 | 6.06 | 2.02 | 16 |
accounting | 4.42 | 2.09 | 19 | 3.68 | 2.4 | 22 | 4.48 | 2.21 | 23 | 4.73 | 1.62 | 11 | 4.43 | 2.57 | 7 | 4.75 | 3.2 | 8 | 3.07 | 1.64 | 14 | 4 | 2 | 7 | 4.69 | 2.33 | 16 | 3.88 | 2.23 | 8 | 4.82 | 1.99 | 11 | 3.44 | 2.79 | 9 | 3.85 | 2.19 | 13 | 4.27 | 1.49 | 11 | 4.67 | 2.77 | 12 | 4.17 | 2.44 | 12 | 4.86 | 1.35 | 7 | 3.09 | 2.43 | 11 | 4.27 | 2.33 | 11 | 4.46 | 2.4 | 13 | 4.5 | 2.07 | 10 |
accumulate | 6.33 | 2 | 18 | 2.73 | 2.27 | 22 | 6.15 | 1.83 | 27 | 6 | 2.45 | 6 | 6.5 | 1.83 | 12 | 3 | 2.37 | 11 | 2.45 | 2.25 | 11 | 6.82 | 1.6 | 11 | 5.69 | 1.89 | 16 | 6.1 | 2.33 | 10 | 6.62 | 1.6 | 8 | 2.09 | 1.04 | 11 | 3.36 | 2.98 | 11 | 5.47 | 1.74 | 17 | 7.3 | 1.42 | 10 | 6.25 | 2.18 | 12 | 6.5 | 1.76 | 6 | 2.5 | 2.14 | 14 | 3.12 | 2.59 | 8 | 6.44 | 1.93 | 16 | 5.73 | 1.68 | 11 |
accuracy | 6.32 | 1.7 | 19 | 3.33 | 2.18 | 21 | 6.74 | 1.76 | 23 | 6.27 | 1.85 | 11 | 6.14 | 1.57 | 7 | 3.86 | 1.86 | 7 | 3.07 | 2.34 | 14 | 6.43 | 2.44 | 7 | 6.88 | 1.45 | 16 | 5.88 | 1.36 | 8 | 6.64 | 1.91 | 11 | 3.67 | 2.78 | 9 | 3.08 | 1.68 | 12 | 6.27 | 2 | 11 | 7.17 | 1.47 | 12 | 6.42 | 1.78 | 12 | 6.14 | 1.68 | 7 | 3.55 | 2.25 | 11 | 3.1 | 2.18 | 10 | 6.62 | 1.98 | 13 | 6.9 | 1.52 | 10 |
accurate | 7.42 | 1.57 | 19 | 4.35 | 2.25 | 23 | 6.47 | 1.93 | 19 | 6.89 | 1.27 | 9 | 7.9 | 1.73 | 10 | 4.86 | 2.34 | 7 | 4.13 | 2.33 | 15 | 6.6 | 2.17 | 10 | 6.33 | 1.73 | 9 | 8.22 | 1.09 | 9 | 6.7 | 1.64 | 10 | 5.1 | 2.51 | 10 | 3.75 | 2.01 | 12 | 6 | 2 | 8 | 6.7 | 1.95 | 10 | 7.33 | 1.78 | 12 | 7.57 | 1.27 | 7 | 4.7 | 2.18 | 20 | 2 | 1 | 3 | 6.38 | 1.92 | 8 | 6.55 | 2.02 | 11 |
accursed | 3.21 | 1.36 | 19 | 5.33 | 2.13 | 21 | 4.13 | 2.3 | 23 | 3 | 0 | 3 | 3.25 | 1.48 | 16 | 5.62 | 1.92 | 8 | 5.15 | 2.3 | 13 | 4.44 | 2.92 | 9 | 3.93 | 1.9 | 14 | 3.44 | 1.33 | 9 | 3 | 1.41 | 10 | 5.89 | 0.93 | 9 | 4.92 | 2.68 | 12 | 4.27 | 2.58 | 15 | 3.88 | 1.81 | 8 | 2.86 | 1.21 | 7 | 3.42 | 1.44 | 12 | 5.4 | 2.01 | 10 | 5.27 | 2.33 | 11 | 4.08 | 2.81 | 13 | 4.2 | 1.55 | 10 |
accusation | 3.38 | 1.75 | 21 | 5.48 | 2.23 | 23 | 3.62 | 1.92 | 26 | 3.45 | 1.97 | 11 | 3.3 | 1.57 | 10 | 5.09 | 2.21 | 11 | 5.83 | 2.29 | 12 | 3.36 | 1.29 | 11 | 3.71 | 2.37 | 14 | 3.2 | 1.69 | 10 | 3.55 | 1.86 | 11 | 5.27 | 2.45 | 11 | 5.67 | 2.1 | 12 | 3.59 | 1.66 | 17 | 3.5 | 2.56 | 8 | 3.23 | 2.01 | 13 | 3.62 | 1.3 | 8 | 5.33 | 2.35 | 15 | 5.75 | 2.12 | 8 | 4.06 | 2.11 | 17 | 2.78 | 1.2 | 9 |
accuse | 2.68 | 1.63 | 19 | 5.32 | 2.08 | 22 | 4 | 2.32 | 24 | 2.83 | 1.72 | 6 | 2.62 | 1.66 | 13 | 5.42 | 2.31 | 12 | 5.2 | 1.87 | 10 | 3.88 | 2.42 | 8 | 4.06 | 2.35 | 16 | 3.4 | 1.65 | 10 | 1.89 | 1.27 | 9 | 5.67 | 2 | 9 | 5.08 | 2.18 | 13 | 4.18 | 2.3 | 17 | 3.5 | 2.74 | 6 | 2.5 | 1.93 | 8 | 2.82 | 1.47 | 11 | 4.33 | 2.4 | 9 | 6 | 1.58 | 13 | 4.12 | 2.25 | 16 | 3.75 | 2.6 | 8 |
ace | 6.37 | 1.34 | 19 | 4.64 | 2.38 | 22 | 6.61 | 1.84 | 38 | 8 | 1 | 3 | 6.06 | 1.18 | 16 | 5.08 | 2.23 | 12 | 4.1 | 2.56 | 10 | 6.62 | 2.02 | 13 | 6.6 | 1.78 | 25 | 6.78 | 1.39 | 9 | 6 | 1.25 | 10 | 5 | 1.73 | 9 | 4.38 | 2.79 | 13 | 7.06 | 1.76 | 18 | 6.2 | 1.85 | 20 | 5.71 | 1.38 | 7 | 6.75 | 1.22 | 12 | 5.33 | 1.94 | 9 | 4.15 | 2.61 | 13 | 6.82 | 1.67 | 17 | 6.43 | 1.99 | 21 |
acetylene | 4.11 | 1.63 | 19 | 3.67 | 2.06 | 21 | 4.7 | 1.84 | 23 | 4.33 | 1.15 | 3 | 4.06 | 1.73 | 16 | 4.25 | 2.19 | 8 | 3.31 | 1.97 | 13 | 4.89 | 1.69 | 9 | 4.57 | 1.99 | 14 | 3.78 | 1.92 | 9 | 4.4 | 1.35 | 10 | 3.89 | 1.96 | 9 | 3.5 | 2.2 | 12 | 4.93 | 1.87 | 15 | 4.25 | 1.83 | 8 | 4.57 | 1.27 | 7 | 3.83 | 1.8 | 12 | 3.6 | 1.71 | 10 | 3.73 | 2.41 | 11 | 4.85 | 2.23 | 13 | 4.5 | 1.27 | 10 |
ache | 3.27 | 2.01 | 40 | 4.3 | 2.26 | 47 | 4 | 2.72 | 18 | 3.29 | 1.83 | 17 | 3.32 | 2.21 | 22 | 3.27 | 2.15 | 11 | 4.56 | 2.29 | 34 | 3.7 | 2.31 | 10 | 4.38 | 3.29 | 8 | 3.21 | 2.01 | 14 | 3.31 | 2.05 | 26 | 3.92 | 2.38 | 26 | 4.68 | 2.16 | 19 | 3.71 | 2.81 | 7 | 4.18 | 2.79 | 11 | 3.37 | 1.98 | 19 | 3.19 | 2.09 | 21 | 4.21 | 2.33 | 28 | 4.42 | 2.22 | 19 | 3.78 | 2.33 | 9 | 4.22 | 3.19 | 9 |
achieve | 7.75 | 1.16 | 20 | 4.7 | 2.96 | 23 | 6.61 | 2.44 | 28 | 7.25 | 0.89 | 8 | 8.08 | 1.24 | 12 | 3.67 | 2.4 | 9 | 5.36 | 3.18 | 14 | 7.07 | 1.98 | 14 | 6.14 | 2.82 | 14 | 8 | 1.22 | 9 | 7.55 | 1.13 | 11 | 5 | 2.76 | 12 | 4.36 | 3.26 | 11 | 6.07 | 2.89 | 14 | 7.14 | 1.83 | 14 | 7.6 | 1.26 | 10 | 7.9 | 1.1 | 10 | 4.82 | 2.82 | 11 | 4.58 | 3.2 | 12 | 6.92 | 2.07 | 12 | 6.38 | 2.73 | 16 |
achievement | 7.28 | 2.15 | 40 | 5.57 | 2.17 | 23 | 7.17 | 1.72 | 53 | 8 | 1.58 | 13 | 6.85 | 2.33 | 26 | 5.45 | 2.16 | 11 | 5.67 | 2.27 | 12 | 6.94 | 2.07 | 18 | 7.29 | 1.53 | 35 | 7.67 | 1.76 | 15 | 6.96 | 2.37 | 24 | 6.27 | 2.24 | 11 | 4.92 | 1.98 | 12 | 6.86 | 1.99 | 28 | 7.52 | 1.29 | 25 | 6.6 | 2.52 | 20 | 7.95 | 1.47 | 20 | 5.91 | 2.43 | 11 | 5.25 | 1.96 | 12 | 7.26 | 1.91 | 31 | 7.05 | 1.43 | 22 |
achy | 3.15 | 1.46 | 20 | 4.48 | 1.89 | 21 | 4.62 | 2.5 | 34 | 3.2 | 1.48 | 10 | 3.1 | 1.52 | 10 | 4.25 | 1.58 | 8 | 4.62 | 2.1 | 13 | 4.79 | 2.58 | 14 | 4.5 | 2.5 | 20 | 3.56 | 1.67 | 9 | 2.82 | 1.25 | 11 | 4.38 | 1.66 | 13 | 4.62 | 2.33 | 8 | 4.86 | 2.47 | 22 | 4.17 | 2.59 | 12 | 3.5 | 1.72 | 10 | 2.8 | 1.14 | 10 | 4.57 | 2.06 | 14 | 4.29 | 1.6 | 7 | 5.24 | 2.31 | 17 | 4 | 2.6 | 17 |
acid | 3.26 | 2.02 | 19 | 4.77 | 2.37 | 22 | 4.26 | 2.43 | 23 | 3 | 1.79 | 6 | 3.38 | 2.18 | 13 | 4.83 | 2.08 | 12 | 4.7 | 2.79 | 10 | 4.14 | 2.27 | 7 | 4.31 | 2.57 | 16 | 3 | 1.49 | 10 | 3.56 | 2.55 | 9 | 5.33 | 2.24 | 9 | 4.38 | 2.47 | 13 | 4.81 | 2.48 | 16 | 2.67 | 1.86 | 6 | 2.12 | 1.36 | 8 | 4.09 | 2.07 | 11 | 4.89 | 2.57 | 9 | 4.69 | 2.32 | 13 | 4.69 | 2.63 | 16 | 3.29 | 1.7 | 7 |
acknowledge | 6.43 | 1.86 | 21 | 3.26 | 2.18 | 23 | 6.11 | 2.42 | 18 | 6.22 | 1.64 | 9 | 6.58 | 2.07 | 12 | 4.09 | 2.34 | 11 | 2.5 | 1.78 | 12 | 5.8 | 2.7 | 10 | 6.5 | 2.14 | 8 | 6.29 | 2.43 | 7 | 6.38 | 1.61 | 13 | 3.73 | 2.24 | 11 | 2.83 | 2.12 | 12 | 6.57 | 2.94 | 7 | 5.82 | 2.14 | 11 | 6.69 | 2.06 | 13 | 6 | 1.51 | 8 | 3.18 | 2.23 | 11 | 3.33 | 2.23 | 12 | 5.67 | 2.45 | 9 | 6.56 | 2.46 | 9 |
acknowledgement | 6.53 | 1.5 | 19 | 3.3 | 2.3 | 23 | 6.71 | 1.82 | 28 | 6.25 | 0.89 | 8 | 6.73 | 1.85 | 11 | 3 | 2.35 | 9 | 3.5 | 2.35 | 14 | 7.21 | 1.72 | 14 | 6.21 | 1.85 | 14 | 6.78 | 1.79 | 9 | 6.3 | 1.25 | 10 | 3.58 | 2.54 | 12 | 3 | 2.1 | 11 | 6.29 | 2.2 | 14 | 7.14 | 1.29 | 14 | 6.6 | 1.71 | 10 | 6.44 | 1.33 | 9 | 3.36 | 2.38 | 11 | 3.25 | 2.34 | 12 | 6.75 | 1.48 | 12 | 6.69 | 2.09 | 16 |
acne | 2.18 | 1.47 | 17 | 4.47 | 2.5 | 19 | 3.44 | 1.96 | 25 | 1.8 | 0.84 | 5 | 2.33 | 1.67 | 12 | 4.7 | 2.58 | 10 | 4.22 | 2.54 | 9 | 3.81 | 2.01 | 16 | 2.78 | 1.79 | 9 | 2.71 | 1.7 | 7 | 1.8 | 1.23 | 10 | 3.5 | 2.14 | 8 | 5.18 | 2.6 | 11 | 3.45 | 2.09 | 20 | 3.4 | 1.52 | 5 | 2.22 | 1.39 | 9 | 2.12 | 1.64 | 8 | 3.9 | 2.42 | 10 | 5.11 | 2.57 | 9 | 3.53 | 1.78 | 19 | 3.17 | 2.64 | 6 |
acorn | 5.85 | 1.76 | 20 | 4.42 | 2.32 | 24 | 4.77 | 2.31 | 22 | 5.38 | 0.74 | 8 | 6.17 | 2.17 | 12 | 4.69 | 2.32 | 13 | 4.09 | 2.39 | 11 | 5 | 2.31 | 13 | 4.44 | 2.4 | 9 | 6.29 | 1.7 | 7 | 5.92 | 1.51 | 12 | 5.29 | 1.94 | 14 | 3.2 | 2.35 | 10 | 5.67 | 1.83 | 12 | 3.7 | 2.45 | 10 | 5.3 | 1.95 | 10 | 6.4 | 1.43 | 10 | 3.88 | 2.39 | 17 | 5.71 | 1.6 | 7 | 4.3 | 2.67 | 10 | 5.17 | 1.99 | 12 |
acoustic | 7.1 | 1.62 | 20 | 4 | 2.43 | 22 | 5.79 | 1.58 | 19 | 7.44 | 1.67 | 9 | 6.82 | 1.6 | 11 | 4 | 3.46 | 5 | 4.12 | 2.19 | 16 | 5.83 | 1.47 | 6 | 5.77 | 1.69 | 13 | 6.86 | 1.7 | 14 | 7.67 | 1.37 | 6 | 3.5 | 1.93 | 12 | 4.89 | 2.93 | 9 | 5.22 | 1.2 | 9 | 6.3 | 1.77 | 10 | 6.9 | 1.85 | 10 | 7.3 | 1.42 | 10 | 3.17 | 1.7 | 12 | 5 | 2.87 | 10 | 6.33 | 1.63 | 6 | 5.54 | 1.56 | 13 |
acoustics | 6.33 | 1.2 | 21 | 3.19 | 1.83 | 21 | 5.86 | 1.67 | 22 | 6.11 | 1.05 | 9 | 6.5 | 1.31 | 12 | 2 | 0.89 | 6 | 3.64 | 1.98 | 14 | 6.17 | 1.83 | 6 | 5.75 | 1.65 | 16 | 6.33 | 1.22 | 9 | 6.33 | 1.23 | 12 | 3.6 | 2.07 | 5 | 3.06 | 1.81 | 16 | 6.55 | 1.63 | 11 | 5.18 | 1.47 | 11 | 6.83 | 1.19 | 12 | 5.67 | 0.87 | 9 | 3.12 | 1.36 | 8 | 3.23 | 2.13 | 13 | 6.33 | 1.61 | 12 | 5.3 | 1.64 | 10 |
acquaintance | 5.58 | 1.35 | 24 | 3.24 | 1.64 | 21 | 5.29 | 1.85 | 21 | 5.55 | 1.37 | 11 | 5.62 | 1.39 | 13 | 2 | 1.1 | 6 | 3.71 | 1.64 | 14 | 4.67 | 2.07 | 6 | 5.53 | 1.77 | 15 | 5.8 | 1.55 | 10 | 5.43 | 1.22 | 14 | 3.4 | 1.82 | 5 | 3.19 | 1.64 | 16 | 5 | 2.16 | 10 | 5.55 | 1.57 | 11 | 5.71 | 1.59 | 14 | 5.4 | 0.97 | 10 | 3.5 | 0.93 | 8 | 3.08 | 1.98 | 13 | 5.33 | 2.15 | 12 | 5.22 | 1.48 | 9 |
acquire | 5.5 | 1.76 | 20 | 4.86 | 2.01 | 22 | 7 | 1.89 | 19 | 4.78 | 2.05 | 9 | 6.09 | 1.3 | 11 | 5 | 2.55 | 5 | 4.75 | 1.95 | 16 | 7.67 | 1.51 | 6 | 6.69 | 2.02 | 13 | 5.21 | 1.72 | 14 | 6.17 | 1.83 | 6 | 4.25 | 2.14 | 12 | 5.56 | 1.74 | 9 | 6 | 2 | 9 | 7.9 | 1.29 | 10 | 5.3 | 1.49 | 10 | 5.7 | 2.06 | 10 | 4.33 | 2.19 | 12 | 5.5 | 1.65 | 10 | 7.83 | 1.6 | 6 | 6.62 | 1.94 | 13 |
acquisition | 5 | 1.95 | 20 | 4.36 | 2.44 | 22 | 5.93 | 2.34 | 27 | 5.14 | 2.54 | 7 | 4.92 | 1.66 | 13 | 4.5 | 2.84 | 10 | 4.25 | 2.18 | 12 | 6.07 | 2.28 | 15 | 5.91 | 2.55 | 11 | 4.73 | 1.74 | 11 | 5.33 | 2.24 | 9 | 5 | 2 | 9 | 3.92 | 2.69 | 13 | 6.18 | 2.58 | 17 | 5.67 | 1.94 | 9 | 5.15 | 2.3 | 13 | 4.71 | 1.11 | 7 | 4.38 | 2.55 | 16 | 4.33 | 2.34 | 6 | 5.5 | 2.54 | 12 | 6.27 | 2.19 | 15 |
acquit | 5.6 | 1.6 | 20 | 4.56 | 2.71 | 18 | 5.45 | 1.57 | 22 | 6.2 | 1.64 | 5 | 5.4 | 1.59 | 15 | 5.33 | 2.34 | 6 | 4.17 | 2.89 | 12 | 5.4 | 0.84 | 10 | 5.5 | 2.02 | 12 | 6 | 1.63 | 10 | 5.2 | 1.55 | 10 | 5.4 | 2.63 | 10 | 3.5 | 2.56 | 8 | 5.18 | 1.08 | 11 | 5.73 | 1.95 | 11 | 5.17 | 1.75 | 12 | 6.25 | 1.16 | 8 | 3.44 | 2.7 | 9 | 5.67 | 2.35 | 9 | 4.64 | 1.5 | 11 | 6.27 | 1.19 | 11 |
acquittal | 6.19 | 1.72 | 21 | 4.95 | 2.31 | 20 | 5.03 | 2.36 | 35 | 6.62 | 1.51 | 8 | 5.92 | 1.85 | 13 | 6.2 | 1.92 | 5 | 4.53 | 2.33 | 15 | 5.5 | 1.72 | 10 | 4.84 | 2.58 | 25 | 5.92 | 1.98 | 13 | 6.62 | 1.19 | 8 | 5.08 | 2.39 | 12 | 4.75 | 2.31 | 8 | 4.85 | 2.08 | 20 | 5.27 | 2.74 | 15 | 5.55 | 1.21 | 11 | 6.9 | 1.97 | 10 | 4.91 | 2.47 | 11 | 5 | 2.24 | 9 | 5.1 | 2.51 | 21 | 4.93 | 2.2 | 14 |
End of preview.
AffLex-Provo
An Integrated Research Repository for Lexical and Affective Influences on Eye Movements During Natural Reading
Creator and Computational Developer: Mohit Gupta
Institution: University of Illinois Urbana-Champaign
Repository: https://huggingface.co/datasets/mohitg2/AffLex-Provo
Overview
AffLex-Provo is a computational psycholinguistics research repository integrating eye-tracking observations, lexical frequency measures, contextual word predictability, and affective word norms.
The research resources are constructed using three established datasets:
- Provo Corpus — Luke and Christianson (2018).
- SUBTLEX-US — Brysbaert and New (2009).
- Affective Norms — Warriner et al. (2013).
The repository includes original preprocessing code, integrated research datasets, statistical analysis scripts, research outputs, and reproducibility documentation.
Research Datasets
The computational triangulation pipeline produces three primary datasets:
| Dataset | Description |
|---|---|
| Master Provo | Integrated research dataset retaining available lexical and affective information |
| Lexical Provo | Dataset supporting analyses of lexical predictors |
| Affective Provo | Dataset supporting analyses of lexical and affective predictors |
Licensing
Original Python and R software is licensed under the MIT License, where indicated.
Eligible original research data contributions and documentation are licensed under CC BY 4.0, where indicated.
Third-party research datasets remain subject to their original rights and redistribution conditions.
Citation
Researchers using the original AffLex-Provo computational resources are strongly requested to cite:
Gupta, M. (2026). AffLex-Provo: Integrated lexical and affective research datasets and computational resources [Data set and software]. Hugging Face.
Repository DOI: Pending assignment.
Researchers should also cite the original datasets relevant to their work.
Associated Publication
Gupta, M., & Christianson, K. (in press).
Beyond Word Length, Frequency, and Predictability: Affective Properties Predict Eye Movement in Reading.
Reading Research Quarterly.
Article DOI: Pending assignment.
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