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# Byte-compiled / optimized / DLL files
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tests/5e-06_1_True_Context_Relevance_Label_ratio_0.6_reformatted_full_articles_False_validation_with_negatives_375242.pt
tests/5e-06_1_True_Context_Relevance_Label_ratio_0.6_reformatted_full_articles_False_validation_with_negatives_428380.pt
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datasets/example_checkpoints/5e-06_1_True_Context_Relevance_Label_ratio_0.6_reformatted_full_articles_False_validation_with_negatives_428380.pt
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ares/RAG_Automatic_Evaluation/Prepare_FinanceBench.py
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AquaMuse/aquamuse.py
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ClapNQ/ClapNQ_dataset.tsv
ClapNQ/ClapNQ_duplicate_check.py
ClapNQ/clapnq_few_shot_prompt_for_synthetic_query_generation.tsv
ClapNQ/ClapNQ_few_shot_synth_gen.py
ClapNQ/ClapNQ_passages.tsv
ClapNQ/ClapNQ_ratio.py
ClapNQ/ClapNQ_raw.tsv
ClapNQ/ClapNQ_retrieval.py
ClapNQ/ClapNQ_synthetic_queries.tsv
ClapNQ/checkpoints/microsoft-deberta-v3-large/Context_Relevance_Label_clapnq_ratio_0.6_2024-08-13_23:57:21.pt
ClapNQ/ClapNQ_ratios/clapnq_ratio_0.6.tsv
ClapNQ/ClapNQ_ratios/clapnq_ratio_0.7.tsv
ClapNQ/ClapNQ_ratios/clapnq_ratio_0.8.tsv
ClapNQ/ClapNQ_ratios/clapnq_ratio_0.9.tsv
datasets/machine_label_datasets/fever_gold_label.tsv
datasets/machine_label_datasets/GPT4o_NQ_5FS_machine_gold_label.tsv
datasets/machine_label_datasets/GPT4o_NQ_20FS_machine_gold_label.tsv
datasets/machine_label_datasets/GPT4o_NQ_50FS_machine_gold_label.tsv
datasets/machine_label_datasets/GPT4o_NQ_machine_gold_label.tsv
datasets/machine_label_datasets/New_GPT4_NQ_20FS_machine_gold_label.tsv
datasets/machine_label_datasets/New_GPT4o_NQ_5FS_machine_gold_label.tsv
datasets/machine_label_datasets/New_GPT4o_NQ_10FS_machine_gold_label.tsv
datasets/machine_label_datasets/New_GPT4o_NQ_20FS_machine_gold_label.tsv
datasets/machine_label_datasets/New_Mixtral_NQ_20FS_machine_gold_label.tsv
datasets/machine_label_datasets/vLLM_New_GPT4_NQ_10FS_machine_gold_label.tsv
datasets/synthetic_queries/nq_synthetic_queries.tsv
docs/nq_ratio_0.6_filtered_Context_Relevance_Label.tsv
DuoRC/DuoRC_Retrieval.py
DuoRC/duorc.py
DuoRC/paraphraserc_few_shot_synth_gen.py
DuoRC/ParaphraseRC/paraphraserc_few_shot_prompt_for_synthetic_query_generation.tsv
DuoRC/ParaphraseRC/paraphraserc_ratio_0.6.tsv
DuoRC/ParaphraseRC/paraphraserc_ratio_0.7.tsv
DuoRC/ParaphraseRC/paraphraserc_ratio_0.8.tsv
DuoRC/ParaphraseRC/paraphraserc_ratio_0.9.tsv
DuoRC/ParaphraseRC/paraphraserc_synthetic_queries_test.tsv
DuoRC/ParaphraseRC/paraphraserc_synthetic_queries.tsv
DuoRC/SelfRC/selfrc_few_shot_prompt_for_synthetic_query_generation.tsv
DuoRC/SelfRC/selfrc_ratio_0.6.tsv
DuoRC/SelfRC/selfrc_ratio_0.7.tsv
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DuoRC/SelfRC/selfrc_ratio_0.9.tsv
DuoRC/SelfRC/selfrc_synthetic_queries_.tsv
ELECTRA_CR_Checkpoint/checkpoints/google-electra-large-discriminator/Context_Relevance_Label_nq_ratio_0.6_2024-08-09_13:56:20.pt
ELECTRA_CR_Checkpoint/checkpoints/google-electra-large-discriminator/Context_Relevance_Label_nq_ratio_0.6_2024-08-09_14:19:11.pt
example_files/nq_few_shot_prompt_for_judge_scoring.tsv
example_files/nq_few_shot_prompt_for_synthetic_query_generation.tsv
example_files/nq_labeled_output.tsv
example_files/nq_unlabeled_output.tsv
FinanceBENCH/conversion.py
FinanceBENCH/finance_bench.csv
FinanceBENCH/finance_bench.tsv
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FreshQA/freshqa_few_shot.py
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FreshQA/freshqa_retriever.py
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FreshQA/Processed_FreshQA/freshqa_ratio_0.6.tsv
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joint_training_classifier/joint_validation_dataset.tsv
joint_training_classifier/checkpoints/microsoft-deberta-v3-large/Answer_Relevance_Label_joint_validation_dataset_2024-06-28_02:39:19.pt
late_chunking_classifier_output_run_1/model.safetensors
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misc/fever_synthetic_queries_prompt.tsv
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misc/hotpotqa_ratio_0.7_filtered_Answer_Relevance_Label.tsv
misc/hotpotqa_ratio_0.7_filtered.tsv
misc/hotpotqa_synthetic_queries_100.tsv
misc/hotpotqa_synthetic_queries.tsv
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misc/new_fever.tsv
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misc/nq_0.65_unlabeled.tsv
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misc/nq_ratio_0.65_querydocanswer.tsv
misc/nq_synthetic_queries_100.tsv
misc/nq_synthetic_queries_200.tsv
misc/nq_synthetic_queries_context_higher_much_2000_unique.tsv
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misc/nq_synthetic_queries_uh.tsv
misc/nq_synthetic_queries.tsv
misc/record_synthetic_queries.tsv
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misc/wow_synthetic_queries.tsv
misc/NQ_CR_Checkpoint/checkpoints/microsoft-deberta-v3-large/Context_Relevance_Label_nq_ratio_0.6_2024-08-08_13:11:22.pt
misc/nq_training_classifier/checkpoints/microsoft-deberta-v3-large/Answer_Relevance_Label_nq_ratio_0.7_2024-06-28_23:32:19.pt
misc/ppi_few_shot/few_shot_prompt_5.tsv
misc/ppi_few_shot/few_shot_prompt_10.tsv
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misc/PPI_Tests/NQ0.7_RemovedColumn.tsv
misc/PPI_Tests/PPI_Context_NQ_0.6_Machine_Test
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misc/training_classifier_random/checkpoints/microsoft-deberta-v3-large/Answer_Relevance_Label_nq_ratio_0.6_2024-06-24_17:29:20.pt
NarrativeQA/100_rows.tsv
NarrativeQA/check_labels.py
NarrativeQA/check_ratio.py
NarrativeQA/cut_down.py
NarrativeQA/cut.py
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NarrativeQA/Training/wandb/offline-run-20240831_181507-6ickzlqo/run-6ickzlqo.wandb
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synth_runs/record_synthetic_queries_correct.tsv
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synth_runs/wow_synthetic_queries.tsv
tests/.gitignore
tests/test_ARES_multiple_datasets.py
wandb/latest-run
wandb/offline-run-20240902_020524-gsmni3at/run-gsmni3at.wandb
wandb/offline-run-20240902_020524-gsmni3at/files/conda-environment.yaml
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docs/nq_ratio_0.6_filtered_Context_Relevance_Label.tsv
misc/tests/.gitignore
misc/tests/test_ARES_multiple_datasets.py
AquaMuse/AquaMuse_retrieval.py
AquaMuse/aquamuse.py
DuoRC/DuoRC_Retrieval.py