Datasets:
Tasks:
Text Classification
Sub-tasks:
multi-class-classification
Size:
100K<n<1M
ArXiv:
Tags:
relation extraction
License:
| language: | |
| - ar | |
| - de | |
| - en | |
| - es | |
| - fi | |
| - fr | |
| - hi | |
| - hu | |
| - ja | |
| - pl | |
| - ru | |
| - tr | |
| - zh | |
| license: other | |
| license_details: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf | |
| tags: | |
| - relation extraction | |
| annotations_creators: | |
| - crowdsourced | |
| - expert-generated | |
| language_creators: | |
| - found | |
| pretty_name: MultiTACRED - Multilingual TAC Relation Extraction Dataset | |
| size_categories: | |
| - 100K<n<1M | |
| source_datasets: | |
| - DFKI-NLP/tacred | |
| task_categories: # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts | |
| - text-classification | |
| task_ids: | |
| - multi-class-classification | |
| paperswithcode_id: multitacred | |
| configs: # Optional for datasets with multiple configurations like glue. | |
| - original-ar | |
| - original-de | |
| - original-es | |
| - original-fi | |
| - original-fr | |
| - original-hi | |
| - original-hu | |
| - original-ja | |
| - original-pl | |
| - original-ru | |
| - original-tr | |
| - original-zh | |
| - revisited-ar | |
| - revisited-de | |
| - revisited-es | |
| - revisited-fi | |
| - revisited-fr | |
| - revisited-hi | |
| - revisited-hu | |
| - revisited-ja | |
| - revisited-pl | |
| - revisited-ru | |
| - revisited-tr | |
| - revisited-zh | |
| - retacred-ar | |
| - retacred-de | |
| - retacred-es | |
| - retacred-fi | |
| - retacred-fr | |
| - retacred-hi | |
| - retacred-hu | |
| - retacred-ja | |
| - retacred-pl | |
| - retacred-ru | |
| - retacred-tr | |
| - retacred-zh | |
| dataset_info: | |
| - config_name: original-ar | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: token | |
| sequence: string | |
| - name: subj_start | |
| dtype: int32 | |
| - name: subj_end | |
| dtype: int32 | |
| - name: subj_type | |
| dtype: | |
| class_label: | |
| names: | |
| '0': LOCATION | |
| '1': ORGANIZATION | |
| '2': PERSON | |
| '3': DATE | |
| '4': MONEY | |
| '5': PERCENT | |
| '6': TIME | |
| '7': CAUSE_OF_DEATH | |
| '8': CITY | |
| '9': COUNTRY | |
| '10': CRIMINAL_CHARGE | |
| '11': EMAIL | |
| '12': HANDLE | |
| '13': IDEOLOGY | |
| '14': NATIONALITY | |
| '15': RELIGION | |
| '16': STATE_OR_PROVINCE | |
| '17': TITLE | |
| '18': URL | |
| '19': NUMBER | |
| '20': ORDINAL | |
| '21': MISC | |
| '22': DURATION | |
| '23': O | |
| - name: obj_start | |
| dtype: int32 | |
| - name: obj_end | |
| dtype: int32 | |
| - name: obj_type | |
| dtype: | |
| class_label: | |
| names: | |
| '0': LOCATION | |
| '1': ORGANIZATION | |
| '2': PERSON | |
| '3': DATE | |
| '4': MONEY | |
| '5': PERCENT | |
| '6': TIME | |
| '7': CAUSE_OF_DEATH | |
| '8': CITY | |
| '9': COUNTRY | |
| '10': CRIMINAL_CHARGE | |
| '11': EMAIL | |
| '12': HANDLE | |
| '13': IDEOLOGY | |
| '14': NATIONALITY | |
| '15': RELIGION | |
| '16': STATE_OR_PROVINCE | |
| '17': TITLE | |
| '18': URL | |
| '19': NUMBER | |
| '20': ORDINAL | |
| '21': MISC | |
| '22': DURATION | |
| '23': O | |
| - name: relation | |
| dtype: | |
| class_label: | |
| names: | |
| '0': no_relation | |
| '1': org:alternate_names | |
| '2': org:city_of_headquarters | |
| '3': org:country_of_headquarters | |
| '4': org:dissolved | |
| '5': org:founded | |
| '6': org:founded_by | |
| '7': org:member_of | |
| '8': org:members | |
| '9': org:number_of_employees/members | |
| '10': org:parents | |
| '11': org:political/religious_affiliation | |
| '12': org:shareholders | |
| '13': org:stateorprovince_of_headquarters | |
| '14': org:subsidiaries | |
| '15': org:top_members/employees | |
| '16': org:website | |
| '17': per:age | |
| '18': per:alternate_names | |
| '19': per:cause_of_death | |
| '20': per:charges | |
| '21': per:children | |
| '22': per:cities_of_residence | |
| '23': per:city_of_birth | |
| '24': per:city_of_death | |
| '25': per:countries_of_residence | |
| '26': per:country_of_birth | |
| '27': per:country_of_death | |
| '28': per:date_of_birth | |
| '29': per:date_of_death | |
| '30': per:employee_of | |
| '31': per:origin | |
| '32': per:other_family | |
| '33': per:parents | |
| '34': per:religion | |
| '35': per:schools_attended | |
| '36': per:siblings | |
| '37': per:spouse | |
| '38': per:stateorprovince_of_birth | |
| '39': per:stateorprovince_of_death | |
| '40': per:stateorprovinces_of_residence | |
| '41': per:title | |
| splits: | |
| - name: train | |
| num_bytes: 32371641 | |
| num_examples: 67736 | |
| - name: test | |
| num_bytes: 6895001 | |
| num_examples: 15425 | |
| - name: validation | |
| num_bytes: 10353930 | |
| num_examples: 22502 | |
| - name: backtranslated_test | |
| num_bytes: 5687302 | |
| num_examples: 15425 | |
| download_size: 0 | |
| dataset_size: 55307874 | |
| - config_name: revisited-ar | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: token | |
| sequence: string | |
| - name: subj_start | |
| dtype: int32 | |
| - name: subj_end | |
| dtype: int32 | |
| - name: subj_type | |
| dtype: | |
| class_label: | |
| names: | |
| '0': LOCATION | |
| '1': ORGANIZATION | |
| '2': PERSON | |
| '3': DATE | |
| '4': MONEY | |
| '5': PERCENT | |
| '6': TIME | |
| '7': CAUSE_OF_DEATH | |
| '8': CITY | |
| '9': COUNTRY | |
| '10': CRIMINAL_CHARGE | |
| '11': EMAIL | |
| '12': HANDLE | |
| '13': IDEOLOGY | |
| '14': NATIONALITY | |
| '15': RELIGION | |
| '16': STATE_OR_PROVINCE | |
| '17': TITLE | |
| '18': URL | |
| '19': NUMBER | |
| '20': ORDINAL | |
| '21': MISC | |
| '22': DURATION | |
| '23': O | |
| - name: obj_start | |
| dtype: int32 | |
| - name: obj_end | |
| dtype: int32 | |
| - name: obj_type | |
| dtype: | |
| class_label: | |
| names: | |
| '0': LOCATION | |
| '1': ORGANIZATION | |
| '2': PERSON | |
| '3': DATE | |
| '4': MONEY | |
| '5': PERCENT | |
| '6': TIME | |
| '7': CAUSE_OF_DEATH | |
| '8': CITY | |
| '9': COUNTRY | |
| '10': CRIMINAL_CHARGE | |
| '11': EMAIL | |
| '12': HANDLE | |
| '13': IDEOLOGY | |
| '14': NATIONALITY | |
| '15': RELIGION | |
| '16': STATE_OR_PROVINCE | |
| '17': TITLE | |
| '18': URL | |
| '19': NUMBER | |
| '20': ORDINAL | |
| '21': MISC | |
| '22': DURATION | |
| '23': O | |
| - name: relation | |
| dtype: | |
| class_label: | |
| names: | |
| '0': no_relation | |
| '1': org:alternate_names | |
| '2': org:city_of_headquarters | |
| '3': org:country_of_headquarters | |
| '4': org:dissolved | |
| '5': org:founded | |
| '6': org:founded_by | |
| '7': org:member_of | |
| '8': org:members | |
| '9': org:number_of_employees/members | |
| '10': org:parents | |
| '11': org:political/religious_affiliation | |
| '12': org:shareholders | |
| '13': org:stateorprovince_of_headquarters | |
| '14': org:subsidiaries | |
| '15': org:top_members/employees | |
| '16': org:website | |
| '17': per:age | |
| '18': per:alternate_names | |
| '19': per:cause_of_death | |
| '20': per:charges | |
| '21': per:children | |
| '22': per:cities_of_residence | |
| '23': per:city_of_birth | |
| '24': per:city_of_death | |
| '25': per:countries_of_residence | |
| '26': per:country_of_birth | |
| '27': per:country_of_death | |
| '28': per:date_of_birth | |
| '29': per:date_of_death | |
| '30': per:employee_of | |
| '31': per:origin | |
| '32': per:other_family | |
| '33': per:parents | |
| '34': per:religion | |
| '35': per:schools_attended | |
| '36': per:siblings | |
| '37': per:spouse | |
| '38': per:stateorprovince_of_birth | |
| '39': per:stateorprovince_of_death | |
| '40': per:stateorprovinces_of_residence | |
| '41': per:title | |
| splits: | |
| - name: train | |
| num_bytes: 32371641 | |
| num_examples: 67736 | |
| - name: test | |
| num_bytes: 6895001 | |
| num_examples: 15425 | |
| - name: validation | |
| num_bytes: 10353930 | |
| num_examples: 22502 | |
| - name: backtranslated_test | |
| num_bytes: 5687302 | |
| num_examples: 15425 | |
| download_size: 157165 | |
| dataset_size: 55307874 | |
| - config_name: retacred-ar | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: token | |
| sequence: string | |
| - name: subj_start | |
| dtype: int32 | |
| - name: subj_end | |
| dtype: int32 | |
| - name: subj_type | |
| dtype: | |
| class_label: | |
| names: | |
| '0': LOCATION | |
| '1': ORGANIZATION | |
| '2': PERSON | |
| '3': DATE | |
| '4': MONEY | |
| '5': PERCENT | |
| '6': TIME | |
| '7': CAUSE_OF_DEATH | |
| '8': CITY | |
| '9': COUNTRY | |
| '10': CRIMINAL_CHARGE | |
| '11': EMAIL | |
| '12': HANDLE | |
| '13': IDEOLOGY | |
| '14': NATIONALITY | |
| '15': RELIGION | |
| '16': STATE_OR_PROVINCE | |
| '17': TITLE | |
| '18': URL | |
| '19': NUMBER | |
| '20': ORDINAL | |
| '21': MISC | |
| '22': DURATION | |
| '23': O | |
| - name: obj_start | |
| dtype: int32 | |
| - name: obj_end | |
| dtype: int32 | |
| - name: obj_type | |
| dtype: | |
| class_label: | |
| names: | |
| '0': LOCATION | |
| '1': ORGANIZATION | |
| '2': PERSON | |
| '3': DATE | |
| '4': MONEY | |
| '5': PERCENT | |
| '6': TIME | |
| '7': CAUSE_OF_DEATH | |
| '8': CITY | |
| '9': COUNTRY | |
| '10': CRIMINAL_CHARGE | |
| '11': EMAIL | |
| '12': HANDLE | |
| '13': IDEOLOGY | |
| '14': NATIONALITY | |
| '15': RELIGION | |
| '16': STATE_OR_PROVINCE | |
| '17': TITLE | |
| '18': URL | |
| '19': NUMBER | |
| '20': ORDINAL | |
| '21': MISC | |
| '22': DURATION | |
| '23': O | |
| - name: relation | |
| dtype: | |
| class_label: | |
| names: | |
| '0': no_relation | |
| '1': org:alternate_names | |
| '2': org:city_of_branch | |
| '3': org:country_of_branch | |
| '4': org:dissolved | |
| '5': org:founded | |
| '6': org:founded_by | |
| '7': org:member_of | |
| '8': org:members | |
| '9': org:number_of_employees/members | |
| '10': org:political/religious_affiliation | |
| '11': org:shareholders | |
| '12': org:stateorprovince_of_branch | |
| '13': org:top_members/employees | |
| '14': org:website | |
| '15': per:age | |
| '16': per:cause_of_death | |
| '17': per:charges | |
| '18': per:children | |
| '19': per:cities_of_residence | |
| '20': per:city_of_birth | |
| '21': per:city_of_death | |
| '22': per:countries_of_residence | |
| '23': per:country_of_birth | |
| '24': per:country_of_death | |
| '25': per:date_of_birth | |
| '26': per:date_of_death | |
| '27': per:employee_of | |
| '28': per:identity | |
| '29': per:origin | |
| '30': per:other_family | |
| '31': per:parents | |
| '32': per:religion | |
| '33': per:schools_attended | |
| '34': per:siblings | |
| '35': per:spouse | |
| '36': per:stateorprovince_of_birth | |
| '37': per:stateorprovince_of_death | |
| '38': per:stateorprovinces_of_residence | |
| '39': per:title | |
| splits: | |
| - name: train | |
| num_bytes: 27777106 | |
| num_examples: 58171 | |
| - name: test | |
| num_bytes: 5950395 | |
| num_examples: 13348 | |
| - name: validation | |
| num_bytes: 8941018 | |
| num_examples: 19480 | |
| - name: backtranslated_test | |
| num_bytes: 4906896 | |
| num_examples: 13348 | |
| download_size: 3702157 | |
| dataset_size: 47575415 | |
| - config_name: original-de | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: token | |
| sequence: string | |
| - name: subj_start | |
| dtype: int32 | |
| - name: subj_end | |
| dtype: int32 | |
| - name: subj_type | |
| dtype: | |
| class_label: | |
| names: | |
| '0': LOCATION | |
| '1': ORGANIZATION | |
| '2': PERSON | |
| '3': DATE | |
| '4': MONEY | |
| '5': PERCENT | |
| '6': TIME | |
| '7': CAUSE_OF_DEATH | |
| '8': CITY | |
| '9': COUNTRY | |
| '10': CRIMINAL_CHARGE | |
| '11': EMAIL | |
| '12': HANDLE | |
| '13': IDEOLOGY | |
| '14': NATIONALITY | |
| '15': RELIGION | |
| '16': STATE_OR_PROVINCE | |
| '17': TITLE | |
| '18': URL | |
| '19': NUMBER | |
| '20': ORDINAL | |
| '21': MISC | |
| '22': DURATION | |
| '23': O | |
| - name: obj_start | |
| dtype: int32 | |
| - name: obj_end | |
| dtype: int32 | |
| - name: obj_type | |
| dtype: | |
| class_label: | |
| names: | |
| '0': LOCATION | |
| '1': ORGANIZATION | |
| '2': PERSON | |
| '3': DATE | |
| '4': MONEY | |
| '5': PERCENT | |
| '6': TIME | |
| '7': CAUSE_OF_DEATH | |
| '8': CITY | |
| '9': COUNTRY | |
| '10': CRIMINAL_CHARGE | |
| '11': EMAIL | |
| '12': HANDLE | |
| '13': IDEOLOGY | |
| '14': NATIONALITY | |
| '15': RELIGION | |
| '16': STATE_OR_PROVINCE | |
| '17': TITLE | |
| '18': URL | |
| '19': NUMBER | |
| '20': ORDINAL | |
| '21': MISC | |
| '22': DURATION | |
| '23': O | |
| - name: relation | |
| dtype: | |
| class_label: | |
| names: | |
| '0': no_relation | |
| '1': org:alternate_names | |
| '2': org:city_of_headquarters | |
| '3': org:country_of_headquarters | |
| '4': org:dissolved | |
| '5': org:founded | |
| '6': org:founded_by | |
| '7': org:member_of | |
| '8': org:members | |
| '9': org:number_of_employees/members | |
| '10': org:parents | |
| '11': org:political/religious_affiliation | |
| '12': org:shareholders | |
| '13': org:stateorprovince_of_headquarters | |
| '14': org:subsidiaries | |
| '15': org:top_members/employees | |
| '16': org:website | |
| '17': per:age | |
| '18': per:alternate_names | |
| '19': per:cause_of_death | |
| '20': per:charges | |
| '21': per:children | |
| '22': per:cities_of_residence | |
| '23': per:city_of_birth | |
| '24': per:city_of_death | |
| '25': per:countries_of_residence | |
| '26': per:country_of_birth | |
| '27': per:country_of_death | |
| '28': per:date_of_birth | |
| '29': per:date_of_death | |
| '30': per:employee_of | |
| '31': per:origin | |
| '32': per:other_family | |
| '33': per:parents | |
| '34': per:religion | |
| '35': per:schools_attended | |
| '36': per:siblings | |
| '37': per:spouse | |
| '38': per:stateorprovince_of_birth | |
| '39': per:stateorprovince_of_death | |
| '40': per:stateorprovinces_of_residence | |
| '41': per:title | |
| splits: | |
| - name: train | |
| num_bytes: 27810245 | |
| num_examples: 67253 | |
| - name: test | |
| num_bytes: 6043815 | |
| num_examples: 15282 | |
| - name: validation | |
| num_bytes: 9007367 | |
| num_examples: 22343 | |
| - name: backtranslated_test | |
| num_bytes: 5467635 | |
| num_examples: 15079 | |
| download_size: 0 | |
| dataset_size: 48329062 | |
| - config_name: revisited-de | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: token | |
| sequence: string | |
| - name: subj_start | |
| dtype: int32 | |
| - name: subj_end | |
| dtype: int32 | |
| - name: subj_type | |
| dtype: | |
| class_label: | |
| names: | |
| '0': LOCATION | |
| '1': ORGANIZATION | |
| '2': PERSON | |
| '3': DATE | |
| '4': MONEY | |
| '5': PERCENT | |
| '6': TIME | |
| '7': CAUSE_OF_DEATH | |
| '8': CITY | |
| '9': COUNTRY | |
| '10': CRIMINAL_CHARGE | |
| '11': EMAIL | |
| '12': HANDLE | |
| '13': IDEOLOGY | |
| '14': NATIONALITY | |
| '15': RELIGION | |
| '16': STATE_OR_PROVINCE | |
| '17': TITLE | |
| '18': URL | |
| '19': NUMBER | |
| '20': ORDINAL | |
| '21': MISC | |
| '22': DURATION | |
| '23': O | |
| - name: obj_start | |
| dtype: int32 | |
| - name: obj_end | |
| dtype: int32 | |
| - name: obj_type | |
| dtype: | |
| class_label: | |
| names: | |
| '0': LOCATION | |
| '1': ORGANIZATION | |
| '2': PERSON | |
| '3': DATE | |
| '4': MONEY | |
| '5': PERCENT | |
| '6': TIME | |
| '7': CAUSE_OF_DEATH | |
| '8': CITY | |
| '9': COUNTRY | |
| '10': CRIMINAL_CHARGE | |
| '11': EMAIL | |
| '12': HANDLE | |
| '13': IDEOLOGY | |
| '14': NATIONALITY | |
| '15': RELIGION | |
| '16': STATE_OR_PROVINCE | |
| '17': TITLE | |
| '18': URL | |
| '19': NUMBER | |
| '20': ORDINAL | |
| '21': MISC | |
| '22': DURATION | |
| '23': O | |
| - name: relation | |
| dtype: | |
| class_label: | |
| names: | |
| '0': no_relation | |
| '1': org:alternate_names | |
| '2': org:city_of_headquarters | |
| '3': org:country_of_headquarters | |
| '4': org:dissolved | |
| '5': org:founded | |
| '6': org:founded_by | |
| '7': org:member_of | |
| '8': org:members | |
| '9': org:number_of_employees/members | |
| '10': org:parents | |
| '11': org:political/religious_affiliation | |
| '12': org:shareholders | |
| '13': org:stateorprovince_of_headquarters | |
| '14': org:subsidiaries | |
| '15': org:top_members/employees | |
| '16': org:website | |
| '17': per:age | |
| '18': per:alternate_names | |
| '19': per:cause_of_death | |
| '20': per:charges | |
| '21': per:children | |
| '22': per:cities_of_residence | |
| '23': per:city_of_birth | |
| '24': per:city_of_death | |
| '25': per:countries_of_residence | |
| '26': per:country_of_birth | |
| '27': per:country_of_death | |
| '28': per:date_of_birth | |
| '29': per:date_of_death | |
| '30': per:employee_of | |
| '31': per:origin | |
| '32': per:other_family | |
| '33': per:parents | |
| '34': per:religion | |
| '35': per:schools_attended | |
| '36': per:siblings | |
| '37': per:spouse | |
| '38': per:stateorprovince_of_birth | |
| '39': per:stateorprovince_of_death | |
| '40': per:stateorprovinces_of_residence | |
| '41': per:title | |
| splits: | |
| - name: train | |
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| - name: subj_end | |
| dtype: int32 | |
| - name: subj_type | |
| dtype: | |
| class_label: | |
| names: | |
| '0': LOCATION | |
| '1': ORGANIZATION | |
| '2': PERSON | |
| '3': DATE | |
| '4': MONEY | |
| '5': PERCENT | |
| '6': TIME | |
| '7': CAUSE_OF_DEATH | |
| '8': CITY | |
| '9': COUNTRY | |
| '10': CRIMINAL_CHARGE | |
| '11': EMAIL | |
| '12': HANDLE | |
| '13': IDEOLOGY | |
| '14': NATIONALITY | |
| '15': RELIGION | |
| '16': STATE_OR_PROVINCE | |
| '17': TITLE | |
| '18': URL | |
| '19': NUMBER | |
| '20': ORDINAL | |
| '21': MISC | |
| '22': DURATION | |
| '23': O | |
| - name: obj_start | |
| dtype: int32 | |
| - name: obj_end | |
| dtype: int32 | |
| - name: obj_type | |
| dtype: | |
| class_label: | |
| names: | |
| '0': LOCATION | |
| '1': ORGANIZATION | |
| '2': PERSON | |
| '3': DATE | |
| '4': MONEY | |
| '5': PERCENT | |
| '6': TIME | |
| '7': CAUSE_OF_DEATH | |
| '8': CITY | |
| '9': COUNTRY | |
| '10': CRIMINAL_CHARGE | |
| '11': EMAIL | |
| '12': HANDLE | |
| '13': IDEOLOGY | |
| '14': NATIONALITY | |
| '15': RELIGION | |
| '16': STATE_OR_PROVINCE | |
| '17': TITLE | |
| '18': URL | |
| '19': NUMBER | |
| '20': ORDINAL | |
| '21': MISC | |
| '22': DURATION | |
| '23': O | |
| - name: relation | |
| dtype: | |
| class_label: | |
| names: | |
| '0': no_relation | |
| '1': org:alternate_names | |
| '2': org:city_of_branch | |
| '3': org:country_of_branch | |
| '4': org:dissolved | |
| '5': org:founded | |
| '6': org:founded_by | |
| '7': org:member_of | |
| '8': org:members | |
| '9': org:number_of_employees/members | |
| '10': org:political/religious_affiliation | |
| '11': org:shareholders | |
| '12': org:stateorprovince_of_branch | |
| '13': org:top_members/employees | |
| '14': org:website | |
| '15': per:age | |
| '16': per:cause_of_death | |
| '17': per:charges | |
| '18': per:children | |
| '19': per:cities_of_residence | |
| '20': per:city_of_birth | |
| '21': per:city_of_death | |
| '22': per:countries_of_residence | |
| '23': per:country_of_birth | |
| '24': per:country_of_death | |
| '25': per:date_of_birth | |
| '26': per:date_of_death | |
| '27': per:employee_of | |
| '28': per:identity | |
| '29': per:origin | |
| '30': per:other_family | |
| '31': per:parents | |
| '32': per:religion | |
| '33': per:schools_attended | |
| '34': per:siblings | |
| '35': per:spouse | |
| '36': per:stateorprovince_of_birth | |
| '37': per:stateorprovince_of_death | |
| '38': per:stateorprovinces_of_residence | |
| '39': per:title | |
| splits: | |
| - name: train | |
| num_bytes: 22386009 | |
| num_examples: 58183 | |
| - name: test | |
| num_bytes: 4857933 | |
| num_examples: 13352 | |
| - name: validation | |
| num_bytes: 7257304 | |
| num_examples: 19488 | |
| - name: backtranslated_test | |
| num_bytes: 4805734 | |
| num_examples: 13352 | |
| download_size: 3702157 | |
| dataset_size: 39306980 | |
| - config_name: original-zh | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: token | |
| sequence: string | |
| - name: subj_start | |
| dtype: int32 | |
| - name: subj_end | |
| dtype: int32 | |
| - name: subj_type | |
| dtype: | |
| class_label: | |
| names: | |
| '0': LOCATION | |
| '1': ORGANIZATION | |
| '2': PERSON | |
| '3': DATE | |
| '4': MONEY | |
| '5': PERCENT | |
| '6': TIME | |
| '7': CAUSE_OF_DEATH | |
| '8': CITY | |
| '9': COUNTRY | |
| '10': CRIMINAL_CHARGE | |
| '11': EMAIL | |
| '12': HANDLE | |
| '13': IDEOLOGY | |
| '14': NATIONALITY | |
| '15': RELIGION | |
| '16': STATE_OR_PROVINCE | |
| '17': TITLE | |
| '18': URL | |
| '19': NUMBER | |
| '20': ORDINAL | |
| '21': MISC | |
| '22': DURATION | |
| '23': O | |
| - name: obj_start | |
| dtype: int32 | |
| - name: obj_end | |
| dtype: int32 | |
| - name: obj_type | |
| dtype: | |
| class_label: | |
| names: | |
| '0': LOCATION | |
| '1': ORGANIZATION | |
| '2': PERSON | |
| '3': DATE | |
| '4': MONEY | |
| '5': PERCENT | |
| '6': TIME | |
| '7': CAUSE_OF_DEATH | |
| '8': CITY | |
| '9': COUNTRY | |
| '10': CRIMINAL_CHARGE | |
| '11': EMAIL | |
| '12': HANDLE | |
| '13': IDEOLOGY | |
| '14': NATIONALITY | |
| '15': RELIGION | |
| '16': STATE_OR_PROVINCE | |
| '17': TITLE | |
| '18': URL | |
| '19': NUMBER | |
| '20': ORDINAL | |
| '21': MISC | |
| '22': DURATION | |
| '23': O | |
| - name: relation | |
| dtype: | |
| class_label: | |
| names: | |
| '0': no_relation | |
| '1': org:alternate_names | |
| '2': org:city_of_headquarters | |
| '3': org:country_of_headquarters | |
| '4': org:dissolved | |
| '5': org:founded | |
| '6': org:founded_by | |
| '7': org:member_of | |
| '8': org:members | |
| '9': org:number_of_employees/members | |
| '10': org:parents | |
| '11': org:political/religious_affiliation | |
| '12': org:shareholders | |
| '13': org:stateorprovince_of_headquarters | |
| '14': org:subsidiaries | |
| '15': org:top_members/employees | |
| '16': org:website | |
| '17': per:age | |
| '18': per:alternate_names | |
| '19': per:cause_of_death | |
| '20': per:charges | |
| '21': per:children | |
| '22': per:cities_of_residence | |
| '23': per:city_of_birth | |
| '24': per:city_of_death | |
| '25': per:countries_of_residence | |
| '26': per:country_of_birth | |
| '27': per:country_of_death | |
| '28': per:date_of_birth | |
| '29': per:date_of_death | |
| '30': per:employee_of | |
| '31': per:origin | |
| '32': per:other_family | |
| '33': per:parents | |
| '34': per:religion | |
| '35': per:schools_attended | |
| '36': per:siblings | |
| '37': per:spouse | |
| '38': per:stateorprovince_of_birth | |
| '39': per:stateorprovince_of_death | |
| '40': per:stateorprovinces_of_residence | |
| '41': per:title | |
| splits: | |
| - name: train | |
| num_bytes: 26159615 | |
| num_examples: 65260 | |
| - name: test | |
| num_bytes: 5483795 | |
| num_examples: 14694 | |
| - name: validation | |
| num_bytes: 8348430 | |
| num_examples: 21538 | |
| - name: backtranslated_test | |
| num_bytes: 5155679 | |
| num_examples: 14021 | |
| download_size: 0 | |
| dataset_size: 45147519 | |
| - config_name: revisited-zh | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: token | |
| sequence: string | |
| - name: subj_start | |
| dtype: int32 | |
| - name: subj_end | |
| dtype: int32 | |
| - name: subj_type | |
| dtype: | |
| class_label: | |
| names: | |
| '0': LOCATION | |
| '1': ORGANIZATION | |
| '2': PERSON | |
| '3': DATE | |
| '4': MONEY | |
| '5': PERCENT | |
| '6': TIME | |
| '7': CAUSE_OF_DEATH | |
| '8': CITY | |
| '9': COUNTRY | |
| '10': CRIMINAL_CHARGE | |
| '11': EMAIL | |
| '12': HANDLE | |
| '13': IDEOLOGY | |
| '14': NATIONALITY | |
| '15': RELIGION | |
| '16': STATE_OR_PROVINCE | |
| '17': TITLE | |
| '18': URL | |
| '19': NUMBER | |
| '20': ORDINAL | |
| '21': MISC | |
| '22': DURATION | |
| '23': O | |
| - name: obj_start | |
| dtype: int32 | |
| - name: obj_end | |
| dtype: int32 | |
| - name: obj_type | |
| dtype: | |
| class_label: | |
| names: | |
| '0': LOCATION | |
| '1': ORGANIZATION | |
| '2': PERSON | |
| '3': DATE | |
| '4': MONEY | |
| '5': PERCENT | |
| '6': TIME | |
| '7': CAUSE_OF_DEATH | |
| '8': CITY | |
| '9': COUNTRY | |
| '10': CRIMINAL_CHARGE | |
| '11': EMAIL | |
| '12': HANDLE | |
| '13': IDEOLOGY | |
| '14': NATIONALITY | |
| '15': RELIGION | |
| '16': STATE_OR_PROVINCE | |
| '17': TITLE | |
| '18': URL | |
| '19': NUMBER | |
| '20': ORDINAL | |
| '21': MISC | |
| '22': DURATION | |
| '23': O | |
| - name: relation | |
| dtype: | |
| class_label: | |
| names: | |
| '0': no_relation | |
| '1': org:alternate_names | |
| '2': org:city_of_headquarters | |
| '3': org:country_of_headquarters | |
| '4': org:dissolved | |
| '5': org:founded | |
| '6': org:founded_by | |
| '7': org:member_of | |
| '8': org:members | |
| '9': org:number_of_employees/members | |
| '10': org:parents | |
| '11': org:political/religious_affiliation | |
| '12': org:shareholders | |
| '13': org:stateorprovince_of_headquarters | |
| '14': org:subsidiaries | |
| '15': org:top_members/employees | |
| '16': org:website | |
| '17': per:age | |
| '18': per:alternate_names | |
| '19': per:cause_of_death | |
| '20': per:charges | |
| '21': per:children | |
| '22': per:cities_of_residence | |
| '23': per:city_of_birth | |
| '24': per:city_of_death | |
| '25': per:countries_of_residence | |
| '26': per:country_of_birth | |
| '27': per:country_of_death | |
| '28': per:date_of_birth | |
| '29': per:date_of_death | |
| '30': per:employee_of | |
| '31': per:origin | |
| '32': per:other_family | |
| '33': per:parents | |
| '34': per:religion | |
| '35': per:schools_attended | |
| '36': per:siblings | |
| '37': per:spouse | |
| '38': per:stateorprovince_of_birth | |
| '39': per:stateorprovince_of_death | |
| '40': per:stateorprovinces_of_residence | |
| '41': per:title | |
| splits: | |
| - name: train | |
| num_bytes: 26159615 | |
| num_examples: 65260 | |
| - name: test | |
| num_bytes: 5483795 | |
| num_examples: 14694 | |
| - name: validation | |
| num_bytes: 8348430 | |
| num_examples: 21538 | |
| - name: backtranslated_test | |
| num_bytes: 5155679 | |
| num_examples: 14021 | |
| download_size: 157165 | |
| dataset_size: 45147519 | |
| - config_name: retacred-zh | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: token | |
| sequence: string | |
| - name: subj_start | |
| dtype: int32 | |
| - name: subj_end | |
| dtype: int32 | |
| - name: subj_type | |
| dtype: | |
| class_label: | |
| names: | |
| '0': LOCATION | |
| '1': ORGANIZATION | |
| '2': PERSON | |
| '3': DATE | |
| '4': MONEY | |
| '5': PERCENT | |
| '6': TIME | |
| '7': CAUSE_OF_DEATH | |
| '8': CITY | |
| '9': COUNTRY | |
| '10': CRIMINAL_CHARGE | |
| '11': EMAIL | |
| '12': HANDLE | |
| '13': IDEOLOGY | |
| '14': NATIONALITY | |
| '15': RELIGION | |
| '16': STATE_OR_PROVINCE | |
| '17': TITLE | |
| '18': URL | |
| '19': NUMBER | |
| '20': ORDINAL | |
| '21': MISC | |
| '22': DURATION | |
| '23': O | |
| - name: obj_start | |
| dtype: int32 | |
| - name: obj_end | |
| dtype: int32 | |
| - name: obj_type | |
| dtype: | |
| class_label: | |
| names: | |
| '0': LOCATION | |
| '1': ORGANIZATION | |
| '2': PERSON | |
| '3': DATE | |
| '4': MONEY | |
| '5': PERCENT | |
| '6': TIME | |
| '7': CAUSE_OF_DEATH | |
| '8': CITY | |
| '9': COUNTRY | |
| '10': CRIMINAL_CHARGE | |
| '11': EMAIL | |
| '12': HANDLE | |
| '13': IDEOLOGY | |
| '14': NATIONALITY | |
| '15': RELIGION | |
| '16': STATE_OR_PROVINCE | |
| '17': TITLE | |
| '18': URL | |
| '19': NUMBER | |
| '20': ORDINAL | |
| '21': MISC | |
| '22': DURATION | |
| '23': O | |
| - name: relation | |
| dtype: | |
| class_label: | |
| names: | |
| '0': no_relation | |
| '1': org:alternate_names | |
| '2': org:city_of_branch | |
| '3': org:country_of_branch | |
| '4': org:dissolved | |
| '5': org:founded | |
| '6': org:founded_by | |
| '7': org:member_of | |
| '8': org:members | |
| '9': org:number_of_employees/members | |
| '10': org:political/religious_affiliation | |
| '11': org:shareholders | |
| '12': org:stateorprovince_of_branch | |
| '13': org:top_members/employees | |
| '14': org:website | |
| '15': per:age | |
| '16': per:cause_of_death | |
| '17': per:charges | |
| '18': per:children | |
| '19': per:cities_of_residence | |
| '20': per:city_of_birth | |
| '21': per:city_of_death | |
| '22': per:countries_of_residence | |
| '23': per:country_of_birth | |
| '24': per:country_of_death | |
| '25': per:date_of_birth | |
| '26': per:date_of_death | |
| '27': per:employee_of | |
| '28': per:identity | |
| '29': per:origin | |
| '30': per:other_family | |
| '31': per:parents | |
| '32': per:religion | |
| '33': per:schools_attended | |
| '34': per:siblings | |
| '35': per:spouse | |
| '36': per:stateorprovince_of_birth | |
| '37': per:stateorprovince_of_death | |
| '38': per:stateorprovinces_of_residence | |
| '39': per:title | |
| splits: | |
| - name: train | |
| num_bytes: 22440419 | |
| num_examples: 56049 | |
| - name: test | |
| num_bytes: 4717593 | |
| num_examples: 12718 | |
| - name: validation | |
| num_bytes: 7200681 | |
| num_examples: 18642 | |
| - name: backtranslated_test | |
| num_bytes: 4441386 | |
| num_examples: 12127 | |
| download_size: 3702157 | |
| dataset_size: 38800079 | |
| # Dataset Card for "MultiTACRED" | |
| ## Dataset Description | |
| - **Homepage:** [https://github.com/DFKI-NLP/MultiTACRED](https://github.com/DFKI-NLP/MultiTACRED) | |
| - **Paper:** [MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset](https://arxiv.org/abs/2305.04582) | |
| - **Point of Contact:** See [https://github.com/DFKI-NLP/MultiTACRED](https://github.com/DFKI-NLP/MultiTACRED) | |
| - **Size of downloaded dataset files:** 62.3 MB | |
| - **Size of the generated dataset:** 40.9 MB | |
| - **Total amount of disk used:** 103.2 MB | |
| ### Dataset Summary | |
| MultiTACRED is a multilingual version of the large-scale [TAC Relation Extraction Dataset](https://nlp.stanford.edu/projects/tacred). | |
| It covers 12 typologically diverse languages from 9 language families, and was created by the | |
| [Speech & Language Technology group of DFKI](https://www.dfki.de/slt) by machine-translating the instances of the | |
| original TACRED dataset and automatically projecting their entity annotations. For details of the original TACRED's | |
| data collection and annotation process, see the [Stanford paper](https://aclanthology.org/D17-1004/). Translations are | |
| syntactically validated by checking the correctness of the XML tag markup. Any translations with an invalid tag | |
| structure, e.g. missing or invalid head or tail tag pairs, are discarded (on average, 2.3% of the instances). | |
| Languages covered are: Arabic, Chinese, Finnish, French, German, Hindi, Hungarian, Japanese, Polish, | |
| Russian, Spanish, Turkish. Intended use is supervised relation classification. Audience - researchers. | |
| Please see [our ACL paper](https://arxiv.org/abs/2305.04582) for full details. | |
| NOTE: This Datasetreader supports a reduced version of the original TACRED JSON format with the following changes: | |
| - Removed fields: stanford_pos, stanford_ner, stanford_head, stanford_deprel, docid | |
| The motivation for this is that we want to support additional languages, for which these fields were not required | |
| or available. The reader expects the specification of a language-specific configuration specifying the variant | |
| (original, revisited or retacred) and the language (as a two-letter iso code). | |
| The DatasetReader changes the offsets of the following fields, to conform with standard Python usage (see | |
| _generate_examples()): | |
| - subj_end to subj_end + 1 (make end offset exclusive) | |
| - obj_end to obj_end + 1 (make end offset exclusive) | |
| NOTE 2: The MultiTACRED dataset offers an additional 'split', namely the backtranslated test data (translated to a | |
| target language and then back to English). To access this split, use dataset['backtranslated_test']. | |
| You can find the TACRED dataset reader for the English version of the dataset at | |
| [https://huggingface.co/datasets/DFKI-SLT/tacred](https://huggingface.co/datasets/DFKI-SLT/tacred). | |
| ### Supported Tasks and Leaderboards | |
| - **Tasks:** Relation Classification | |
| - **Leaderboards:** [https://paperswithcode.com/sota/relation-extraction-on-multitacred](https://paperswithcode.com/sota/relation-extraction-on-multitacred) | |
| ### Languages | |
| The languages in the dataset are Arabic, German, English, Spanish, Finnish, French, Hindi, Hungarian, Japanese, Polish, Russian, Turkish, and Chinese. | |
| All languages except English are machine-translated using either Deepl's or Google's translation APIs. | |
| ## Dataset Structure | |
| ### Data Instances | |
| - **Size of downloaded dataset files:** 15.4KB (TACRED-Revisited), 3.7 MB (Re-TACRED) | |
| - **Size of the generated dataset:** 1.7 GB (all languages, all versions) | |
| - **Total amount of disk used:** 1.7 GB (all languages, all versions) | |
| An example of 'train' looks as follows: | |
| ```json | |
| { | |
| "id": "61b3a5c8c9a882dcfcd2", | |
| "token": ["Tom", "Thabane", "trat", "im", "Oktober", "letzten", "Jahres", "zurück", ",", "um", "die", "All", "Basotho", "Convention", "-LRB-", "ABC", "-RRB-", "zu", "gründen", ",", "die", "mit", "17", "Abgeordneten", "das", "Wort", "ergriff", ",", "woraufhin", "der", "konstitutionelle", "Monarch", "König", "Letsie", "III.", "das", "Parlament", "auflöste", "und", "Neuwahlen", "ansetzte", "."], | |
| "relation": "org:founded_by", | |
| "subj_start": 11, | |
| "subj_end": 13, | |
| "obj_start": 0, | |
| "obj_end": 1, | |
| "subj_type": "ORGANIZATION", | |
| "obj_type": "PERSON" | |
| } | |
| ``` | |
| ### Data Fields | |
| The data fields are the same among all splits. | |
| - `id`: the instance id of this sentence, a `string` feature. | |
| - `token`: the list of tokens of this sentence, a `list` of `string` features. | |
| - `relation`: the relation label of this instance, a `string` classification label. | |
| - `subj_start`: the 0-based index of the start token of the relation subject mention, an `ìnt` feature. | |
| - `subj_end`: the 0-based index of the end token of the relation subject mention, exclusive, an `ìnt` feature. | |
| - `subj_type`: the NER type of the subject mention, among the types used in the [Stanford NER system](https://stanfordnlp.github.io/CoreNLP/ner.html), a `string` feature. | |
| - `obj_start`: the 0-based index of the start token of the relation object mention, an `ìnt` feature. | |
| - `obj_end`: the 0-based index of the end token of the relation object mention, exclusive, an `ìnt` feature. | |
| - `obj_type`: the NER type of the object mention, among 23 fine-grained types used in the [Stanford NER system](https://stanfordnlp.github.io/CoreNLP/ner.html), a `string` feature. | |
| ### Data Splits | |
| To miminize dataset bias, TACRED is stratified across years in which the TAC KBP challenge was run. | |
| Languages statistics for the splits differ because not all instances could be translated with the | |
| subject and object entity markup still intact, these were discarded. | |
| | Language | Train | Dev | Test | Backtranslated Test | Translation Engine | | |
| | ----- | ------ | ----- | ---- | ---- | ---- | | |
| | en | 68,124 | 22,631 | 15,509 | - | - | | |
| | ar | 67,736 | 22,502 | 15,425 | 15,425 | Google | | |
| | de | 67,253 | 22,343 | 15,282 | 15,079 | DeepL | | |
| | es | 65,247 | 21,697 | 14,908 | 14,688 | DeepL | | |
| | fi | 66,751 | 22,268 | 15,083 | 14,462 | DeepL | | |
| | fr | 66,856 | 22,298 | 15,237 | 15,088 | DeepL | | |
| | hi | 67,751 | 22,511 | 15,440 | 15,440 | Google | | |
| | hu | 67,766 | 22,519 | 15,436 | 15,436 | Google | | |
| | ja | 61,571 | 20,290 | 13,701 | 12,913 | DeepL | | |
| | pl | 68,124 | 22,631 | 15,509 | 15,509 | Google | | |
| | ru | 66,413 | 21,998 | 14,995 | 14,703 | DeepL | | |
| | tr | 67,749 | 22,510 | 15,429 | 15,429 | Google | | |
| | zh | 65,260 | 21,538 | 14,694 | 14,021 | DeepL | | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed] | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [More Information Needed] | |
| #### Who are the source language producers? | |
| [More Information Needed] | |
| ### Annotations | |
| #### Annotation process | |
| See the Stanford paper, the TACRED Revisited paper, and the Re-TACRED paper, plus their appendices, for | |
| details on the original annotation process. The translated versions do not change the original labels. | |
| Translations were tokenized with language-specific Spacy models (Spacy 3.1, 'core_news/web_sm' models) | |
| or Trankit (Trankit 1.1.0) when there was no Spacy model for a given language (Hungarian, Turkish, Arabic, Hindi). | |
| #### Who are the annotators? | |
| [More Information Needed] | |
| ### Personal and Sensitive Information | |
| [More Information Needed] | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [More Information Needed] | |
| ### Discussion of Biases | |
| [More Information Needed] | |
| ### Other Known Limitations | |
| [More Information Needed] | |
| ## Additional Information | |
| ### Dataset Curators | |
| [More Information Needed] | |
| ### Licensing Information | |
| To respect the copyright of the underlying TAC KBP corpus, TACRED is released via the | |
| Linguistic Data Consortium ([LDC License](https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf)). | |
| You can download MultiTACRED from the [LDC MultiTACRED webpage](https://catalog.ldc.upenn.edu/TODO). | |
| If you are an LDC member, the access will be free; otherwise, an access fee of $25 is needed. | |
| ### Citation Information | |
| The original dataset: | |
| ``` | |
| @inproceedings{zhang2017tacred, | |
| author = {Zhang, Yuhao and Zhong, Victor and Chen, Danqi and Angeli, Gabor and Manning, Christopher D.}, | |
| booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017)}, | |
| title = {Position-aware Attention and Supervised Data Improve Slot Filling}, | |
| url = {https://nlp.stanford.edu/pubs/zhang2017tacred.pdf}, | |
| pages = {35--45}, | |
| year = {2017} | |
| } | |
| ``` | |
| For the revised version, please also cite: | |
| ``` | |
| @inproceedings{alt-etal-2020-tacred, | |
| title = "{TACRED} Revisited: A Thorough Evaluation of the {TACRED} Relation Extraction Task", | |
| author = "Alt, Christoph and | |
| Gabryszak, Aleksandra and | |
| Hennig, Leonhard", | |
| booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics", | |
| month = jul, | |
| year = "2020", | |
| address = "Online", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://www.aclweb.org/anthology/2020.acl-main.142", | |
| doi = "10.18653/v1/2020.acl-main.142", | |
| pages = "1558--1569", | |
| } | |
| ``` | |
| For the Re-TACRED version, please also cite: | |
| ``` | |
| @inproceedings{DBLP:conf/aaai/StoicaPP21, | |
| author = {George Stoica and | |
| Emmanouil Antonios Platanios and | |
| Barnab{\'{a}}s P{\'{o}}czos}, | |
| title = {Re-TACRED: Addressing Shortcomings of the {TACRED} Dataset}, | |
| booktitle = {Thirty-Fifth {AAAI} Conference on Artificial Intelligence, {AAAI} | |
| 2021, Thirty-Third Conference on Innovative Applications of Artificial | |
| Intelligence, {IAAI} 2021, The Eleventh Symposium on Educational Advances | |
| in Artificial Intelligence, {EAAI} 2021, Virtual Event, February 2-9, | |
| 2021}, | |
| pages = {13843--13850}, | |
| publisher = {{AAAI} Press}, | |
| year = {2021}, | |
| url = {https://ojs.aaai.org/index.php/AAAI/article/view/17631}, | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@leonhardhennig](https://github.com/leonhardhennig) for adding this dataset. |