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Update README.md
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README.md
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---
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-
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language:
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- en
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-
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-
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pretty_name: AsyLex
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-
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-
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- config_name: raw_sentences
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-
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- config_name: raw_documents
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data_files: "cases_anonymized_txt_raw.tar.gz"
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- config_name: all_legal_entities
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data_files: "main_and_case_cover_all_entities_inferred.csv"
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sep: ";"
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- config_name: casecover_legal_entities
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data_files: "case_cover/case_cover_anonymised_extracted_entities.csv"
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sep: ","
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- config_name: casecover_entities_outcome
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data_files: "case_cover/case_cover_entities_and_decision_outcome.csv"
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sep: ";"
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- config_name: determination_sentences
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data_files: "determination_label_extracted_sentences.csv"
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sep: ";"
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- config_name: outcome_classification
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data_files:
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- split: train
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path: "outcome_train_test/train_dataset_silver.csv"
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---
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+
annotations_creators: []
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language:
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- en
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language_creators:
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- found
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license:
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- cc-by-nc-sa-4.0
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multilinguality:
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- monolingual
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pretty_name: AsyLex
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size_categories:
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- 1M<n<10M
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source_datasets: []
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tags:
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- legal NLP
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- Refugee Law
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+
task_categories:
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- text-classification
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- token-classification
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- text-retrieval
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task_ids:
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- multi-label-classification
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- named-entity-recognition
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- document-retrieval
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- utterance-retrieval
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configs:
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- config_name: raw_sentences
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features:
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- name: decisionID
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dtype: string
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- name: Text
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dtype: string
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splits:
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- name: train
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num_examples: 4946439
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data_files : "all_sentences_anonymized.tar.xz"
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default : true
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- config_name: raw_documents
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data_files: "cases_anonymized_txt_raw.tar.gz"
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features:
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- name: case_files
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dtype: txt
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splits:
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- name: train
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num_examples: 59112
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- config_name: all_legal_entities
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data_files: "main_and_case_cover_all_entities_inferred.csv"
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sep: ";"
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features:
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- name: decisionID
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dtype: int64
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- name: Text
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dtype: string
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- name: GPE
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dtype: string
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- name: DATE
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dtype: string
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- name: NORP
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dtype: string
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- name: ORG
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dtype: string
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- name: LAW
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dtype: string
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- name: CLAIMANT_EVENTS
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dtype: string
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- name: CREDIBILITY
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dtype: string
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- name: DETERMINATION
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dtype: string
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- name: CLAIMANT_INFO
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dtype: string
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- name: PROCEDURE
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dtype: string
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- name: DOC_EVIDENCE
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dtype: string
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- name: EXPLANATION
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dtype: string
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- name: LEGAL_GROUND
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dtype: string
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- name: LAW_CASE
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dtype: string
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- name: LAW_REPORT
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dtype: string
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- name: decision_outcome
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dtype:
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class_label:
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names:
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'0': 'Rejected'
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'1': 'Granted'
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'2': 'Uncertain'
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- name: extracted_dates
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dtype: string
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- name: LOC_HEARING
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dtype: string
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- name: TRIBUNAL
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dtype: string
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- name: PUBLIC_PRIVATE_HEARING
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dtype: string
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- name: INCHAMBER_VIRTUAL_HEARING
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dtype: string
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- name: JUDGE
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dtype: string
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- name: text_case_cover
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dtype: string
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- name: DATE_DECISION
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dtype: string
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splits:
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- name: train
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num_examples: 3067330
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- config_name: casecover_legal_entities
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data_files: "case_cover/case_cover_anonymised_extracted_entities.csv"
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sep: ","
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features:
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- name: decision_ID
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dtype: int64
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- name: extracted_dates
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dtype: string
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- name: extracted_gpe
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dtype: string
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- name: extracted_org
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dtype: string
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- name: public_private_hearing
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dtype: string
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- name: in_chamber_virtual
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dtype: string
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- name: judge_name
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dtype: string
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- name: date_decision
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dtype: string
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- name: text_case_cover
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dtype: string
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splits:
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- name: train
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num_examples: 45883
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- config_name: casecover_entities_outcome
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data_files: "case_cover/case_cover_entities_and_decision_outcome.csv"
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sep: ";"
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features:
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- name: decision_ID
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dtype: int64
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- name: extracted_dates
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dtype: string
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- name: LOC_HEARING
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dtype: string
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- name: TRIBUNAL
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dtype: string
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- name: PUBLIC_PRIVATE_HEARING
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dtype: string
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- name: INCHAMBER_VIRTUAL_HEARING
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dtype: string
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- name: JUDGE
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dtype: string
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- name: text_case_cover
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dtype: string
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- name: DATE_DECISION
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dtype: string
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- name: decision_outcome
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dtype:
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class_label:
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names:
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'0': 'Rejected'
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'1': 'Granted'
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'2': 'Uncertain'
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splits:
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- name: train
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num_examples: 31195
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- config_name: determination_sentences
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data_files: "determination_label_extracted_sentences.csv"
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sep: ";"
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features:
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- name: decisionID
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dtype: int64
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- name: extracted_sentences_determination
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dtype: string
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splits:
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- name: train
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num_examples: 53977
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- config_name: outcome_classification
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features:
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- name: decisionID
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dtype: float64
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- name: decision_outcome
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dtype:
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class_label:
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names:
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'0': 'Rejected'
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'1': 'Granted'
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'2': 'Uncertain'
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data_files:
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- split: train
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path: "outcome_train_test/train_dataset_silver.csv"
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