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Datasets:
kimsiun
/
clinical_trial_eligibility_crietria_recommendation
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1
Modalities:
Text
Formats:
csv
Size:
< 1K
Libraries:
Datasets
pandas
Croissant
+ 1
License:
mit
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clinical_trial_eligibility_crietria_recommendation
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19 commits
kimsiun
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72adc28
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.gitattributes
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README.md
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clinical_relevance_gpt35turbo_ECpairs500_forclusteringeval.p
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clinical_relevance_gpt35turbo_ECpairs500_fortraining.p
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original_rephrased_EC_pairs_alternative_20k_list.p
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original_rephrased_EC_pairs_coreconcept_5k_list.p
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original_rephrased_EC_pairs_possibly_20k_list.p
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original_rephrased_EC_pairs_simple_5k_list.p
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original_rephrased_EC_pairs_total_50k_list.csv
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train_pairs_positive_inputtype_only_title.p
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train_pairs_positive_inputtype_only_title_sample.csv
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train_pairs_positive_inputtype_title+CTinfo.p
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train_pairs_positive_inputtype_title+summary+CTinfo.p
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train_pairs_positive_inputtype_title+summary.p
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train_paris_negative_Ent5_inputtype_only_title.p
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train_paris_negative_Ent5_inputtype_title+CTinfo.p
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train_paris_negative_Ent5_inputtype_title+summary+CTinfo.p
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train_paris_negative_Ent5_inputtype_title+summary.p
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train_paris_negative_Ent8_inputtype_only_title.p
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train_paris_negative_Ent8_inputtype_title+CTinfo.p
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train_paris_negative_Ent8_inputtype_title+summary+CTinfo.p
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train_paris_negative_Ent8_inputtype_title+summary.p
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