--- dataset_info: features: - name: tokens sequence: string - name: ner_tags sequence: int64 - name: dataset dtype: string splits: - name: train num_bytes: 38152132 num_examples: 161379 - name: validation num_bytes: 10359916 num_examples: 48470 - name: test num_bytes: 11040741 num_examples: 50498 download_size: 15450325 dataset_size: 59552789 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* --- Created from the three datasets `wikiann`, `norne`, `dane`, and `KBLab/sucx3_ner`. See detailed config below: ```python dataset_ids = [ "wikiann", "dane", "norne", "KBLab/sucx3_ner" ] dataset_subsets = { "wikiann": [ "nn", "no", "da", "sv", "fo", "is" ], "dane": [None], "norne": ["combined-7"], "KBLab/sucx3_ner": ["original_cased"] } ``` Unified to the following BIO-scheme: ``` # O: 0 # B-PER: 1 # I-PER: 2 # B-ORG: 3 # I-ORG: 4 # B-LOC: 5 # I-LOC: 6 # B-MISC: 7 # I-MISC: 8 mappers = { "norne": { 0: 0, 1: 1, 2: 2, 3: 3, 4: 4, # PROD->MISC 5: 7, 6: 8, # LOC -> LOC 7: 5, 8: 6, # DRV -> MISC (names, but derived) 9: 7, 10: 8, # EVT -> MISC (events) 11: 7, 12: 8, # MISC -> MISC 13: 7, 14: 8, }, "KBLab/sucx3_ner": { "O": 0, # PER "B-person": 1, "I-person": 2, # LOC "B-place": 5, "I-place": 6, # ORG "I-inst": 4, "B-inst": 3, # MISC # this is considered a 'work' by someone or something "B-work": 7, "I-work": 8, "B-animal": 7, "I-animal": 8, "B-product": 7, "I-product": 8, "B-event": 7, "I-event": 8, "B-other": 7, "I-other": 8, # mythological "B-myth": 7, "I-myth": 8, }, } ```