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tokencal-results

by HABIB hr1018/tokencal-results

Rows—
Configurations—
Size100.3 MB
License—
AccessPublicly accessible
Monthly Downloads1.6k

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Details

Repository
hr1018/tokencal-results
Publisher
HABIB
Task category
Not stated by the source
Tags
Not stated by the source
Size category
Not stated by the source
Languages
Not stated by the source
Revision
284a67b5f5520694a67f09c3ea423226fc0386f7
Last updated
2026-10-04

Files

419 files, 100.3 MB in total.

Data387 files · 89.7 MB
Tokenizer5 files · 5.0 KB
Other26 files · 10.6 MB
Repository1 file · 2.6 KB
Every file
FileTypeSizeSHA-256
ablations/base_m0_m1_best_test_metrics.csvData1.7 KB—
ablations/base_m0_m1_m2_best_test_metrics.csvData2.5 KB—
ablations/base_m0_m1_m2_m3_best_test_metrics.csvData3.3 KB—
ablations/m0_best_vs_base_test_instability.csvData327 B—
ablations/m0_best_vs_base_test_metrics.csvData978 B—
ablations/m0_m1_m2_best_test_instability.csvData331 B—
ablations/m0_m1_m2_m3_best_test_instability.csvData405 B—
ablations/m0_standard_sft_training_summary.csvData795 B—
ablations/m0_vs_m1_best_test_instability.csvData386 B—
ablations/m0_vs_m1_best_test_metrics.csvData996 B—
ablations/m0_vs_m2_best_test_metrics.csvData991 B—
ablations/m0_vs_m3_best_test_metrics.csvData989 B—
ablations/m1_calibration_training_summary.csvData837 B—
ablations/m1_vs_m2_best_test_metrics.csvData977 B—
ablations/m1_vs_m3_best_test_metrics.csvData988 B—
ablations/m2_pair_calibration_training_summary.csvData846 B—
ablations/m2_vs_m3_best_test_metrics.csvData984 B—
ablations/m3_tokencal_training_summary.csvData848 B—
baseline/base_accuracy_pattern_summary.csvData192 B—
baseline/base_full_inference_gpu.csvData235 B—
baseline/base_full_inference_runtime.csvData320 B—
baseline/base_full_predictions_long.csvData3.5 MB—
baseline/base_model_peak_vram.csvData112 B—
baseline/base_model_runtime.csvData579 B—
baseline/base_model_vram_audit.csvData680 B—
baseline/base_pairwise_predictions.csvData4.4 MB—
baseline/base_quick_summary.csvData364 B—
baseline/base_split_language_summary.csvData767 B—
baseline/choice_logit_sanity.csvData549 B—
baseline/dual_gpu_inference_runtime.csvData311 B—
baseline/inference_batch_benchmark.csvData3.2 KB—
baseline/inference_batch_policy.csvData259 B—
baseline/optimized_choice_scoring_equivalence.csvData343 B—
config/ablation_loss_coefficients.csvData578 B—
config/ablation_objective_tensor_contract.csvData567 B—
config/chat_template_count_correction.csvData314 B—
config/checkpoint_resume_policy.csvData554 B—
config/choice_token_mapping.csvData699 B—
config/context_length_policy.csvData432 B—
config/dependency_lock.csvData540 B—
config/full_training_schedule.csvData404 B—
config/learning_rate_schedule_audit.csvData357 B—
config/length_aware_pair_sampler_policy.csvData393 B—
config/lora_config.jsonData513 B—
config/master_config.jsonData9.2 KB—
config/optimizer_scheduler_policy.csvData369 B—
config/pair_aware_collator_policy.csvData364 B—
config/precision_policy.csvData366 B—
config/qlora_training_policy.csvData640 B—
config/runtime_hardware.csvData772 B—
config/runtime_software.csvData394 B—
config/training_batch_tensor_contract.csvData1.4 KB—
config/training_environment.jsonData595 B—
config/training_fragmentation_normalization.csvData216 B—
config/training_loss_definitions.csvData507 B—
config/training_supervision_policy.csvData484 B—
datasets/b_reaso_benqa_exact_overlap_audit.csvData1.3 MB—
datasets/b_reaso_benqa_exact_overlap_excluded_rows.csvData292 B—
datasets/b_reaso_benqa_question_only_overlap_audit.csvData292 B—
datasets/b_reaso_val_benqa_overlap_audit.csvData150.4 KB—
datasets/b_reaso_val_conflicting_duplicate_rows.csvData2.9 KB—
datasets/b_reaso_val_ood_audit_summary.jsonData1.1 KB—
datasets/b_reaso_val_ood_canonical.csvData1.3 MB—
datasets/b_reaso_val_ood_label_counts.csvData43 B—
datasets/b_reaso_val_ood_subject_counts.csvData1.1 KB—
datasets/b_reaso_val_question_conflict_audit.csvData676 B—
datasets/b_reaso_val_source_audit.csvData2.6 KB—
datasets/b_reaso_val_source_invalid_rows.csvData16.2 KB—
datasets/benqa_answer_distribution.csvData159 B—
datasets/benqa_clean_pair_metadata.csvData719.5 KB—
datasets/benqa_cleaning_flow.csvData150 B—
datasets/benqa_csv_inventory.csvData11.7 KB—
datasets/benqa_duplicate_audit_summary.csvData205 B—
datasets/benqa_file_inventory.csvData11.8 KB—
datasets/benqa_final_answer_distribution.csvData134 B—
datasets/benqa_final_population_summary.csvData546 B—
datasets/benqa_final_subject_distribution.csvData648 B—
datasets/benqa_group_split_audit.csvData225.1 KB—
datasets/benqa_main_schema_validation.csvData1.8 KB—
datasets/benqa_pair_integrity_summary.csvData384 B—
datasets/benqa_pair_metadata.csvData480.8 KB—
datasets/benqa_question_group_audit.csvData313.3 KB—
datasets/benqa_recovered_bengali_content_overlap_audit.csvData2.5 MB—
datasets/benqa_source_provenance.csvData784 B—
datasets/benqa_split_answer_distribution.csvData481 B—
datasets/benqa_split_assignments.csvData626.1 KB—
datasets/benqa_split_candidate_search.csvData472.9 KB—
datasets/benqa_split_distribution.csvData4.0 KB—
datasets/benqa_split_distribution_tvd.csvData501 B—
datasets/benqa_split_leakage_audit.csvData255 B—
datasets/benqa_split_sizes.csvData344 B—
datasets/benqa_subject_statistics.csvData801 B—
datasets/milu_duplicate_audit.csvData202 B—
datasets/milu_duplicate_resolution_policy.csvData181 B—
datasets/milu_exact_duplicate_excluded_rows.csvData317 B—
datasets/milu_final_test_language_counts.csvData99 B—
datasets/milu_final_test_lock_summary.jsonData797 B—
datasets/milu_load_audit.csvData1.0 KB—
datasets/milu_multilingual_audit_summary.jsonData1.7 KB—
datasets/milu_schema_audit.csvData3.2 KB—
datasets/milu_source_invalid_rows_audit.csvData89 B—
datasets/milu_structural_validity_audit.csvData309 B—
datasets/milu_test_language_counts.csvData172 B—
datasets/pair_aware_dataset_summary.csvData140 B—
datasets/shroom_cap_label_availability_audit.csvData639 B—
datasets/shroom_cap_language_counts.csvData293 B—
datasets/shroom_cap_low_resource_suitability_audit.csvData236 B—
datasets/shroom_cap_multilingual_audit_summary.jsonData1.4 KB—
datasets/shroom_cap_schema_audit.csvData1.8 KB—
datasets/shroom_cap_source_inventory.csvData318 B—
datasets/training_pair_length_summary.csvData233 B—
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datasets/training_supervision_summary.csvData394 B—
datasets/training_target_distribution.csvData344 B—
evaluations/m0_best_test_language_gap.csvData921 B—
evaluations/m0_best_test_language_metrics.csvData826 B—
evaluations/m0_best_test_loss_summary.csvData362 B—
evaluations/m0_best_test_predictions.csvData308.7 KB—
evaluations/m0_standard_sft_validation_epochs.csvData1.6 KB—
evaluations/m1_best_test_language_gap.csvData992 B—
evaluations/m1_best_test_language_metrics.csvData822 B—
evaluations/m1_best_test_loss_summary.csvData355 B—
evaluations/m1_best_test_predictions.csvData245.2 KB—
evaluations/m1_calibration_validation_epochs.csvData1.6 KB—
evaluations/m2_best_test_language_gap.csvData995 B—
evaluations/m2_best_test_language_metrics.csvData833 B—
evaluations/m2_best_test_loss_summary.csvData352 B—
evaluations/m2_best_test_predictions.csvData244.9 KB—
evaluations/m2_pair_calibration_validation_epochs.csvData1.6 KB—
evaluations/m3_best_test_language_gap.csvData996 B—
evaluations/m3_best_test_language_metrics.csvData816 B—
evaluations/m3_best_test_loss_summary.csvData380 B—
evaluations/m3_best_test_predictions.csvData258.3 KB—
evaluations/m3_tokencal_validation_epochs.csvData1.6 KB—
evaluations/strict_m0_standard_sft_torch_adamw_v2_validation_epochs.csvData771 B—
evaluations/strict_m0_standard_sft_validation_epochs.csvData1.2 KB—
figure_data/cell43_figure_index.csvData638 B—
figure_data/fig01_metadata.csvData670 B—
figure_data/fig01_tokenization_fragmentation_source.csvData555.6 KB—
figure_data/fig02_metadata.csvData529 B—
figure_data/fig02_reliability_source.csvData10.8 KB—
figure_data/fig02_risk_coverage_source.csvData201.3 KB—
figure_data/fig03_fragmentation_calibration_binned.csvData2.2 KB—
figure_data/fig03_fragmentation_calibration_source.csvData100.5 KB—
figure_data/fig03_metadata.csvData835 B—
figure_data/fig04_accuracy_pattern_composition.csvData854 B—
figure_data/fig04_composition_standardized_delta_ce.csvData855 B—
figure_data/fig04_metadata.csvData695 B—
figure_data/fig05_accuracy_transition_odds_ratios.csvData1.1 KB—
figure_data/fig05_accuracy_transition_rates.csvData700 B—
figure_data/fig05_metadata.csvData747 B—
figure_data/fig06_fragmentation_distribution_instability_binned.csvData2.2 KB—
figure_data/fig06_fragmentation_distribution_instability_pairs.csvData112.6 KB—
figure_data/fig06_fragmentation_distribution_instability_quartiles.csvData804 B—
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figure_data/figure4_native_translated_accuracy_ci_source.csvData633 B—
manifests/benqa_source_manifest.jsonData865 B—
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manifests/cell03_runtime_audit_verification.jsonData1.2 KB—
manifests/cell04_dependency_precision_verification.jsonData1.7 KB—
manifests/cell05_benqa_download_verification.jsonData1.9 KB—
manifests/cell06_benqa_pair_construction.jsonData978 B—
manifests/cell07_cleaning_policy.jsonData1.2 KB—
manifests/cell08_group_aware_split.jsonData1.0 KB—
manifests/cell10_full_tokenization.jsonData1.3 KB—
manifests/cell11_tokenization_statistics_figure1.jsonData1.6 KB—
manifests/cell12_context_length_policy.jsonData975 B—
manifests/cell13_base_model_load_sanity.jsonData1.4 KB—
manifests/cell14_inference_batch_benchmark.jsonData1.0 KB—
manifests/cell15_full_baseline_inference.jsonData1.3 KB—
manifests/cell16_baseline_calibration.jsonData1.1 KB—
manifests/cell17_fragmentation_calibration_hypothesis.jsonData1.8 KB—
manifests/cell18_accuracy_pattern_decomposition.jsonData1.2 KB—
manifests/cell19_fragmentation_accuracy_transitions.jsonData885 B—
manifests/cell20_fragmentation_distribution_instability.jsonData1.3 KB—
manifests/cell21_training_supervision_construction.jsonData1.5 KB—
manifests/cell22_pair_aware_dataset_collator.jsonData822 B—
manifests/cell23_length_aware_batching.jsonData1.2 KB—
manifests/cell24_qlora_model_preparation.jsonData1.7 KB—
manifests/cell25_training_objectives.jsonData1.9 KB—
manifests/cell26_training_infrastructure.jsonData1.3 KB—
manifests/cell27_m0_standard_sft_full_training.jsonData1.2 KB—
manifests/cell28_m0_best_test_evaluation.jsonData1.0 KB—
manifests/cell29_m1_calibration_full_training.jsonData1.3 KB—
manifests/cell30_m1_best_test_evaluation.jsonData955 B—
manifests/cell31_m2_pair_calibration_full_training.jsonData1.4 KB—
manifests/cell32_m2_best_test_evaluation.jsonData941 B—
manifests/cell33_m3_tokencal_full_training.jsonData1.4 KB—
manifests/cell34_m3_best_test_evaluation.jsonData958 B—
manifests/cell35b_b_reaso_val_ood_final.jsonData613 B—
manifests/cell35e_b_reaso_benqa_overlap_final.jsonData628 B—
manifests/cell36_b_reaso_ood_evaluation.jsonData414 B—
manifests/cell37_shroom_cap_multilingual_audit.jsonData470 B—
manifests/cell38_milu_multilingual_audit.jsonData582 B—
manifests/cell38c_milu_final_test_lock.jsonData434 B—
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manifests/cell42_final_consolidated_tables.jsonData278 B—
manifests/cell43_publication_figures.jsonData1.7 KB—
manifests/cell44_ablation_component_interpretation.jsonData516 B—
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manifests/cell46b_qualitative_patch.jsonData594 B—
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multilingual/milu_native_translated_bootstrap_10k.csvData37.5 KB—
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multilingual/milu_native_translated_metrics.csvData12.6 KB—
multilingual/milu_native_translated_summary.jsonData1.7 KB—
multilingual/milu_unseen_paired_bootstrap_10k.csvData25.5 KB—
ood/b_reaso_base_m0_m1_m2_m3_metrics.csvData1.4 KB—
ood/b_reaso_base_m0_m1_m2_m3_predictions.csvData1.2 MB—
ood/b_reaso_model_comparison_bootstrap_10k.csvData4.0 KB—
ood/b_reaso_ood_evaluation_summary.jsonData4.2 KB—
ood/b_reaso_subject_metrics.csvData23.7 KB—
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paper_tables/paper_claim_evidence_map.csvData2.4 KB—
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paper_tables/qualitative_analysis_summary.jsonData583 B—
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paper_tables/table05_fragmentation_accuracy_transitions.csvData624 B—
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paper_tables/table_main_cross_benchmark_overview.csvData1.4 KB—
paper_tables/table_milu_by_language.csvData5.2 KB—
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paper_tables/table_milu_reviewer_samples.csvData2.0 KB—
paper_tables/table_milu_rq3_bootstrap.csvData3.6 KB—
paper_tables/table_milu_unseen_pooled.csvData1.6 KB—
paper_tables/table_qualitative_case_studies.csvData3.0 KB—
paper_tables/table_qualitative_final_panel.csvData4.1 KB—
statistics/baseline_calibration_language_gaps.csvData3.6 KB—
statistics/baseline_calibration_metrics.csvData2.3 KB—
statistics/baseline_test_bootstrap_calibration_gaps.csvData636 B—
statistics/baseline_test_paired_accuracy_test.csvData269 B—
statistics/baseline_test_paired_tests.csvData701 B—
statistics/fragmentation_calibration_correlations.csvData2.7 KB—
statistics/m0_best_test_language_gap_bootstrap.csvData604 B—
statistics/m0_best_vs_base_test_bootstrap.csvData1.2 KB—
statistics/m0_vs_m1_best_test_bootstrap.csvData1.3 KB—
statistics/m0_vs_m2_best_test_bootstrap.csvData1.3 KB—
statistics/m0_vs_m3_best_test_bootstrap.csvData1.3 KB—
statistics/m1_best_test_language_gap_bootstrap.csvData604 B—
statistics/m1_vs_m2_best_test_bootstrap.csvData1.2 KB—
statistics/m1_vs_m3_best_test_bootstrap.csvData1.2 KB—
statistics/m2_best_test_language_gap_bootstrap.csvData607 B—
statistics/m2_vs_m3_best_test_bootstrap.csvData1.2 KB—
statistics/m2_vs_prior_best_test_instability_bootstrap.csvData702 B—
statistics/m3_best_test_language_gap_bootstrap.csvData603 B—
statistics/m3_vs_prior_best_test_instability_bootstrap.csvData974 B—
statistics/test_accuracy_pattern_conditional_slopes.csvData960 B—
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statistics/test_accuracy_pattern_descriptives.csvData477 B—
statistics/test_accuracy_pattern_fragmentation_summary.csvData659 B—
statistics/test_fragmentation_accuracy_pattern_interaction_wald.csvData155 B—
statistics/test_fragmentation_accuracy_transition_bootstrap.csvData543 B—
statistics/test_fragmentation_accuracy_transition_logistic.csvData2.8 KB—
statistics/test_fragmentation_accuracy_transition_quartiles.csvData700 B—
statistics/test_fragmentation_accuracy_transition_trends.csvData228 B—
statistics/test_fragmentation_calibration_bootstrap_draws.csvData448.4 KB—
statistics/test_fragmentation_calibration_bootstrap_summary.csvData275 B—
statistics/test_fragmentation_calibration_regressions.csvData1.1 KB—
statistics/test_fragmentation_calibration_residualized_association.csvData308 B—
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statistics/test_fragmentation_distribution_instability_correlations.csvData620 B—
statistics/test_fragmentation_distribution_instability_q4_q1_bootstrap.csvData503 B—
statistics/test_fragmentation_distribution_instability_quartiles.csvData804 B—
statistics/test_fragmentation_distribution_instability_trends.csvData221 B—
statistics/test_fragmentation_js_bootstrap.csvData263 B—
statistics/test_fragmentation_js_regression.csvData524 B—
statistics/test_fragmentation_prediction_disagreement_logistic.csvData329 B—
statistics/test_fragmentation_quartile_accuracy_pattern_association.csvData260 B—
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statistics/test_fragmentation_quartile_pattern_means.csvData1.4 KB—
statistics/test_fragmentation_quartile_standardized_trend.csvData150 B—
statistics/test_fragmentation_quartile_trend.csvData95 B—
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statistics/tokenization_bootstrap_ci.csvData787 B—
statistics/tokenization_paired_statistical_tests.csvData3.5 KB—
tokenization/b_reaso_val_ood_tokenization_audit.csvData68.3 KB—
tokenization/benqa_context_length_audit.csvData919.8 KB—
tokenization/benqa_context_length_split_summary.csvData237 B—
tokenization/benqa_fragmentation_direction.csvData134 B—
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tokenization/benqa_prompt_length_audit.csvData274 B—
tokenization/benqa_tokenization_pairs.csvData2.2 MB—
tokenization/benqa_tokenization_split_summary.csvData2.6 KB—
tokenization/benqa_tokenization_summary.csvData2.2 KB—
tokenization/milu_final_language_tokenization_summary.csvData292 B—
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training_logs/cell22_full_collation_audit.csvData381 B—
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training_logs/cell24_parameter_device_audit.csvData36 B—
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training_logs/cell25_loss_sanity.csvData1.0 KB—
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config/tokenizer_language_sanity.csvTokenizer187 B—
config/tokenizer_provenance.csvTokenizer708 B—
config/tokenizer_snapshot_inventory.csvTokenizer3.0 KB—
config/tokenizer_special_tokens.csvTokenizer121 B—
manifests/cell09_tokenizer_audit.jsonTokenizer965 B—

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