diff --git a/README.md b/README.md deleted file mode 100644 index 67c3f833e8c91b835fc70e8e6816f65e2b3bb0c9..0000000000000000000000000000000000000000 --- a/README.md +++ /dev/null @@ -1,6365 +0,0 @@ ---- -annotations_creators: -- machine-generated -language_creators: -- crowdsourced -language: -- ace -- af -- als -- am -- an -- ang -- ar -- arc -- arz -- as -- ast -- ay -- az -- ba -- bar -- be -- bg -- bh -- bn -- bo -- br -- bs -- ca -- cbk -- cdo -- ce -- ceb -- ckb -- co -- crh -- cs -- csb -- cv -- cy -- da -- de -- diq -- dv -- el -- eml -- en -- eo -- es -- et -- eu -- ext -- fa -- fi -- fo -- fr -- frr -- fur -- fy -- ga -- gan -- gd -- gl -- gn -- gu -- hak -- he -- hi -- hr -- hsb -- hu -- hy -- ia -- id -- ig -- ilo -- io -- is -- it -- ja -- jbo -- jv -- ka -- kk -- km -- kn -- ko -- ksh -- ku -- ky -- la -- lb -- li -- lij -- lmo -- ln -- lt -- lv -- lzh -- mg -- mhr -- mi -- min -- mk -- ml -- mn -- mr -- ms -- mt -- mwl -- my -- mzn -- nan -- nap -- nds -- ne -- nl -- nn -- 'no' -- nov -- oc -- or -- os -- pa -- pdc -- pl -- pms -- pnb -- ps -- pt -- qu -- rm -- ro -- ru -- rw -- sa -- sah -- scn -- sco -- sd -- sgs -- sh -- si -- sk -- sl -- so -- sq -- sr -- su -- sv -- sw -- szl -- ta -- te -- tg -- th -- tk -- tl -- tr -- tt -- ug -- uk -- ur -- uz -- vec -- vep -- vi -- vls -- vo -- vro -- wa -- war -- wuu -- xmf -- yi -- yo -- yue -- zea -- zh -language_bcp47: -- be-tarask -- en-basiceng -- jv-x-bms -license: -- unknown -multilinguality: -- multilingual -size_categories: -- n<1K -source_datasets: -- original -task_categories: -- token-classification -task_ids: -- named-entity-recognition -paperswithcode_id: wikiann-1 -pretty_name: WikiANN -configs: -- 'no' -- ace -- af -- als -- am -- an -- ang -- ar -- arc -- arz -- as -- ast -- ay -- az -- ba -- bar -- be -- bg -- bh -- bn -- bo -- br -- bs -- ca -- cdo -- ce -- ceb -- ckb -- co -- crh -- cs -- csb -- cv -- cy -- da -- de -- diq -- dv -- el -- en -- eo -- es -- et -- eu -- ext -- fa -- fi -- fo -- fr -- frr -- fur -- fy -- ga -- gan -- gd -- gl -- gn -- gu -- hak -- he -- hi -- hr -- hsb -- hu -- hy -- ia -- id -- ig -- ilo -- io -- is -- it -- ja -- jbo -- jv -- ka -- kk -- km -- kn -- ko -- ksh -- ku -- ky -- la -- lb -- li -- lij -- lmo -- ln -- lt -- lv -- mg -- mhr -- mi -- min -- mk -- ml -- mn -- mr -- ms -- mt -- mwl -- my -- mzn -- nap -- nds -- ne -- nl -- nn -- nov -- oc -- or -- os -- other-bat-smg -- other-be-x-old -- other-cbk-zam -- other-eml -- other-fiu-vro -- other-map-bms -- other-simple -- other-zh-classical -- other-zh-min-nan -- other-zh-yue -- pa -- pdc -- pl -- pms -- pnb -- ps -- pt -- qu -- rm -- ro -- ru -- rw -- sa -- sah -- scn -- sco -- sd -- sh -- si -- sk -- sl -- so -- sq -- sr -- su -- sv -- sw -- szl -- ta -- te -- tg -- th -- tk -- tl -- tr -- tt -- ug -- uk -- ur -- uz -- vec -- vep -- vi -- vls -- vo -- wa -- war -- wuu -- xmf -- yi -- yo -- zea -- zh -dataset_info: -- config_name: ace - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 22453 - num_examples: 100 - - name: test - num_bytes: 25752 - num_examples: 100 - - name: train - num_bytes: 23231 - num_examples: 100 - download_size: 234008884 - dataset_size: 71436 -- config_name: af - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 299137 - num_examples: 1000 - - name: test - num_bytes: 295849 - num_examples: 1000 - - name: train - num_bytes: 1521604 - num_examples: 5000 - download_size: 234008884 - dataset_size: 2116590 -- config_name: als - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 34318 - num_examples: 100 - - name: test - num_bytes: 36345 - num_examples: 100 - - name: train - num_bytes: 34968 - num_examples: 100 - download_size: 234008884 - dataset_size: 105631 -- config_name: am - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 21429 - num_examples: 100 - - name: test - num_bytes: 23811 - num_examples: 100 - - name: train - num_bytes: 22214 - num_examples: 100 - download_size: 234008884 - dataset_size: 67454 -- config_name: an - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 180609 - num_examples: 1000 - - name: test - num_bytes: 174992 - num_examples: 1000 - - name: train - num_bytes: 180967 - num_examples: 1000 - download_size: 234008884 - dataset_size: 536568 -- config_name: ang - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 21925 - num_examples: 100 - - name: test - num_bytes: 24523 - num_examples: 100 - - name: train - num_bytes: 23296 - num_examples: 100 - download_size: 234008884 - dataset_size: 69744 -- config_name: ar - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2325688 - num_examples: 10000 - - name: test - num_bytes: 2334664 - num_examples: 10000 - - name: train - num_bytes: 4671669 - num_examples: 20000 - download_size: 234008884 - dataset_size: 9332021 -- config_name: arc - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 15726 - num_examples: 100 - - name: test - num_bytes: 16641 - num_examples: 100 - - name: train - num_bytes: 18536 - num_examples: 100 - download_size: 234008884 - dataset_size: 50903 -- config_name: arz - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 26609 - num_examples: 100 - - name: test - num_bytes: 25663 - num_examples: 100 - - name: train - num_bytes: 26375 - num_examples: 100 - download_size: 234008884 - dataset_size: 78647 -- config_name: as - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 25736 - num_examples: 100 - - name: test - num_bytes: 23350 - num_examples: 100 - - name: train - num_bytes: 24984 - num_examples: 100 - download_size: 234008884 - dataset_size: 74070 -- config_name: ast - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 217477 - num_examples: 1000 - - name: test - num_bytes: 220874 - num_examples: 1000 - - name: train - num_bytes: 228238 - num_examples: 1000 - download_size: 234008884 - dataset_size: 666589 -- config_name: ay - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 11684 - num_examples: 100 - - name: test - num_bytes: 13379 - num_examples: 100 - - name: train - num_bytes: 12596 - num_examples: 100 - download_size: 234008884 - dataset_size: 37659 -- config_name: az - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 272066 - num_examples: 1000 - - name: test - num_bytes: 267935 - num_examples: 1000 - - name: train - num_bytes: 2645552 - num_examples: 10000 - download_size: 234008884 - dataset_size: 3185553 -- config_name: ba - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 29262 - num_examples: 100 - - name: test - num_bytes: 30502 - num_examples: 100 - - name: train - num_bytes: 31123 - num_examples: 100 - download_size: 234008884 - dataset_size: 90887 -- config_name: bar - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 17374 - num_examples: 100 - - name: test - num_bytes: 17839 - num_examples: 100 - - name: train - num_bytes: 16796 - num_examples: 100 - download_size: 234008884 - dataset_size: 52009 -- config_name: bat-smg - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 26496 - num_examples: 100 - - name: test - num_bytes: 26093 - num_examples: 100 - - name: train - num_bytes: 24677 - num_examples: 100 - download_size: 234008884 - dataset_size: 77266 -- config_name: be - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 262042 - num_examples: 1000 - - name: test - num_bytes: 266104 - num_examples: 1000 - - name: train - num_bytes: 3983322 - num_examples: 15000 - download_size: 234008884 - dataset_size: 4511468 -- config_name: be-x-old - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 342654 - num_examples: 1000 - - name: test - num_bytes: 337599 - num_examples: 1000 - - name: train - num_bytes: 1704256 - num_examples: 5000 - download_size: 234008884 - dataset_size: 2384509 -- config_name: bg - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2840907 - num_examples: 10000 - - name: test - num_bytes: 2830213 - num_examples: 10000 - - name: train - num_bytes: 5665063 - num_examples: 20000 - download_size: 234008884 - dataset_size: 11336183 -- config_name: bh - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 33682 - num_examples: 100 - - name: test - num_bytes: 30692 - num_examples: 100 - - name: train - num_bytes: 36374 - num_examples: 100 - download_size: 234008884 - dataset_size: 100748 -- config_name: bn - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 238446 - num_examples: 1000 - - name: test - num_bytes: 237218 - num_examples: 1000 - - name: train - num_bytes: 2351591 - num_examples: 10000 - download_size: 234008884 - dataset_size: 2827255 -- config_name: bo - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 22688 - num_examples: 100 - - name: test - num_bytes: 15437 - num_examples: 100 - - name: train - num_bytes: 14085 - num_examples: 100 - download_size: 234008884 - dataset_size: 52210 -- config_name: br - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 206839 - num_examples: 1000 - - name: test - num_bytes: 222083 - num_examples: 1000 - - name: train - num_bytes: 221495 - num_examples: 1000 - download_size: 234008884 - dataset_size: 650417 -- config_name: bs - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 246378 - num_examples: 1000 - - name: test - num_bytes: 247331 - num_examples: 1000 - - name: train - num_bytes: 3669346 - num_examples: 15000 - download_size: 234008884 - dataset_size: 4163055 -- config_name: ca - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 1836319 - num_examples: 10000 - - name: test - num_bytes: 1847746 - num_examples: 10000 - - name: train - num_bytes: 3689342 - num_examples: 20000 - download_size: 234008884 - dataset_size: 7373407 -- config_name: cbk-zam - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 47060 - num_examples: 100 - - name: test - num_bytes: 47277 - num_examples: 100 - - name: train - num_bytes: 52545 - num_examples: 100 - download_size: 234008884 - dataset_size: 146882 -- config_name: cdo - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 37479 - num_examples: 100 - - name: test - num_bytes: 34319 - num_examples: 100 - - name: train - num_bytes: 36204 - num_examples: 100 - download_size: 234008884 - dataset_size: 108002 -- config_name: ce - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 40303 - num_examples: 100 - - name: test - num_bytes: 38640 - num_examples: 100 - - name: train - num_bytes: 38284 - num_examples: 100 - download_size: 234008884 - dataset_size: 117227 -- config_name: ceb - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 22789 - num_examples: 100 - - name: test - num_bytes: 23950 - num_examples: 100 - - name: train - num_bytes: 21365 - num_examples: 100 - download_size: 234008884 - dataset_size: 68104 -- config_name: ckb - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 214231 - num_examples: 1000 - - name: test - num_bytes: 211988 - num_examples: 1000 - - name: train - num_bytes: 217066 - num_examples: 1000 - download_size: 234008884 - dataset_size: 643285 -- config_name: co - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 15968 - num_examples: 100 - - name: test - num_bytes: 15880 - num_examples: 100 - - name: train - num_bytes: 18032 - num_examples: 100 - download_size: 234008884 - dataset_size: 49880 -- config_name: crh - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 20230 - num_examples: 100 - - name: test - num_bytes: 23879 - num_examples: 100 - - name: train - num_bytes: 23336 - num_examples: 100 - download_size: 234008884 - dataset_size: 67445 -- config_name: cs - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2456654 - num_examples: 10000 - - name: test - num_bytes: 2458155 - num_examples: 10000 - - name: train - num_bytes: 4944758 - num_examples: 20000 - download_size: 234008884 - dataset_size: 9859567 -- config_name: csb - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 28841 - num_examples: 100 - - name: test - num_bytes: 27840 - num_examples: 100 - - name: train - num_bytes: 31640 - num_examples: 100 - download_size: 234008884 - dataset_size: 88321 -- config_name: cv - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 24787 - num_examples: 100 - - name: test - num_bytes: 26403 - num_examples: 100 - - name: train - num_bytes: 26956 - num_examples: 100 - download_size: 234008884 - dataset_size: 78146 -- config_name: cy - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 228586 - num_examples: 1000 - - name: test - num_bytes: 233869 - num_examples: 1000 - - name: train - num_bytes: 2337116 - num_examples: 10000 - download_size: 234008884 - dataset_size: 2799571 -- config_name: da - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2422976 - num_examples: 10000 - - name: test - num_bytes: 2432324 - num_examples: 10000 - - name: train - num_bytes: 4882222 - num_examples: 20000 - download_size: 234008884 - dataset_size: 9737522 -- config_name: de - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2754550 - num_examples: 10000 - - name: test - num_bytes: 2750996 - num_examples: 10000 - - name: train - num_bytes: 5510641 - num_examples: 20000 - download_size: 234008884 - dataset_size: 11016187 -- config_name: diq - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 24147 - num_examples: 100 - - name: test - num_bytes: 22476 - num_examples: 100 - - name: train - num_bytes: 24131 - num_examples: 100 - download_size: 234008884 - dataset_size: 70754 -- config_name: dv - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 30322 - num_examples: 100 - - name: test - num_bytes: 27279 - num_examples: 100 - - name: train - num_bytes: 31033 - num_examples: 100 - download_size: 234008884 - dataset_size: 88634 -- config_name: el - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - 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4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 27672 - num_examples: 100 - - name: test - num_bytes: 27728 - num_examples: 100 - - name: train - num_bytes: 28689 - num_examples: 100 - download_size: 234008884 - dataset_size: 84089 -- config_name: fo - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 26094 - num_examples: 100 - - name: test - num_bytes: 23531 - num_examples: 100 - - name: train - num_bytes: 26178 - num_examples: 100 - download_size: 234008884 - dataset_size: 75803 -- config_name: fr - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2058004 - num_examples: 10000 - - name: test - num_bytes: 2073593 - num_examples: 10000 - - name: train - num_bytes: 4123995 - num_examples: 20000 - download_size: 234008884 - dataset_size: 8255592 -- config_name: frr - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 15883 - num_examples: 100 - - name: test - num_bytes: 15736 - num_examples: 100 - - name: train - num_bytes: 16654 - num_examples: 100 - download_size: 234008884 - dataset_size: 48273 -- config_name: fur - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 25264 - num_examples: 100 - - name: test - num_bytes: 30562 - num_examples: 100 - - name: train - num_bytes: 33654 - num_examples: 100 - download_size: 234008884 - dataset_size: 89480 -- config_name: fy - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 226436 - num_examples: 1000 - - name: test - num_bytes: 229700 - num_examples: 1000 - - name: train - num_bytes: 223013 - num_examples: 1000 - download_size: 234008884 - dataset_size: 679149 -- config_name: ga - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 234092 - num_examples: 1000 - - name: test - num_bytes: 235083 - num_examples: 1000 - - name: train - num_bytes: 238047 - num_examples: 1000 - download_size: 234008884 - dataset_size: 707222 -- config_name: gan - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 17533 - num_examples: 100 - - name: test - num_bytes: 13879 - num_examples: 100 - - name: train - num_bytes: 14398 - num_examples: 100 - download_size: 234008884 - dataset_size: 45810 -- config_name: gd - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 23230 - num_examples: 100 - - name: test - num_bytes: 20308 - num_examples: 100 - - name: train - num_bytes: 20154 - num_examples: 100 - download_size: 234008884 - dataset_size: 63692 -- config_name: gl - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2029683 - num_examples: 10000 - - name: test - num_bytes: 2031150 - num_examples: 10000 - - name: train - num_bytes: 3030993 - num_examples: 15000 - download_size: 234008884 - dataset_size: 7091826 -- config_name: gn - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 29132 - num_examples: 100 - - name: test - num_bytes: 24263 - num_examples: 100 - - name: train - num_bytes: 28220 - num_examples: 100 - download_size: 234008884 - dataset_size: 81615 -- config_name: gu - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 48009 - num_examples: 100 - - name: test - num_bytes: 45417 - num_examples: 100 - - name: train - num_bytes: 42625 - num_examples: 100 - download_size: 234008884 - dataset_size: 136051 -- config_name: hak - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 17977 - num_examples: 100 - - name: test - num_bytes: 18155 - num_examples: 100 - - name: train - num_bytes: 16208 - num_examples: 100 - download_size: 234008884 - dataset_size: 52340 -- config_name: he - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2801392 - num_examples: 10000 - - name: test - num_bytes: 2785474 - num_examples: 10000 - - name: train - num_bytes: 5600488 - num_examples: 20000 - download_size: 234008884 - dataset_size: 11187354 -- config_name: hi - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 261207 - num_examples: 1000 - - name: test - num_bytes: 267255 - num_examples: 1000 - - name: train - num_bytes: 1315829 - num_examples: 5000 - download_size: 234008884 - dataset_size: 1844291 -- config_name: hr - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2417450 - num_examples: 10000 - - name: test - num_bytes: 2430440 - num_examples: 10000 - - name: train - num_bytes: 4877331 - num_examples: 20000 - download_size: 234008884 - dataset_size: 9725221 -- config_name: hsb - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 24695 - num_examples: 100 - - name: test - num_bytes: 24348 - num_examples: 100 - - name: train - num_bytes: 24228 - num_examples: 100 - download_size: 234008884 - dataset_size: 73271 -- config_name: hu - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2590116 - num_examples: 10000 - - name: test - num_bytes: 2626771 - num_examples: 10000 - - name: train - num_bytes: 5263122 - num_examples: 20000 - download_size: 234008884 - dataset_size: 10480009 -- config_name: hy - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 237560 - num_examples: 1000 - - name: test - num_bytes: 237121 - num_examples: 1000 - - name: train - num_bytes: 3634065 - num_examples: 15000 - download_size: 234008884 - dataset_size: 4108746 -- config_name: ia - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 32064 - num_examples: 100 - - name: test - num_bytes: 37617 - num_examples: 100 - - name: train - num_bytes: 32928 - num_examples: 100 - download_size: 234008884 - dataset_size: 102609 -- config_name: id - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 1901625 - num_examples: 10000 - - name: test - num_bytes: 1902732 - num_examples: 10000 - - name: train - num_bytes: 3814047 - num_examples: 20000 - download_size: 234008884 - dataset_size: 7618404 -- config_name: ig - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 17721 - num_examples: 100 - - name: test - num_bytes: 18432 - num_examples: 100 - - name: train - num_bytes: 15988 - num_examples: 100 - download_size: 234008884 - dataset_size: 52141 -- config_name: ilo - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 16675 - num_examples: 100 - - name: test - num_bytes: 17245 - num_examples: 100 - - name: train - num_bytes: 17152 - num_examples: 100 - download_size: 234008884 - dataset_size: 51072 -- config_name: io - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 19026 - num_examples: 100 - - name: test - num_bytes: 17231 - num_examples: 100 - - name: train - num_bytes: 20781 - num_examples: 100 - download_size: 234008884 - dataset_size: 57038 -- config_name: is - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - 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num_bytes: 2190458 - num_examples: 10000 - - name: train - num_bytes: 2206943 - num_examples: 10000 - download_size: 234008884 - dataset_size: 6570821 -- config_name: map-bms - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 19780 - num_examples: 100 - - name: test - num_bytes: 20558 - num_examples: 100 - - name: train - num_bytes: 21639 - num_examples: 100 - download_size: 234008884 - dataset_size: 61977 -- config_name: mg - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 24861 - num_examples: 100 - - name: test - num_bytes: 22570 - num_examples: 100 - - name: train - num_bytes: 25739 - num_examples: 100 - download_size: 234008884 - dataset_size: 73170 -- config_name: mhr - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 23263 - num_examples: 100 - - name: test - num_bytes: 23639 - num_examples: 100 - - name: train - num_bytes: 18648 - num_examples: 100 - download_size: 234008884 - dataset_size: 65550 -- config_name: mi - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 39399 - num_examples: 100 - - name: test - num_bytes: 40147 - num_examples: 100 - - name: train - num_bytes: 37896 - num_examples: 100 - download_size: 234008884 - dataset_size: 117442 -- config_name: min - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 28719 - num_examples: 100 - - name: test - num_bytes: 24741 - num_examples: 100 - - name: train - num_bytes: 26620 - num_examples: 100 - download_size: 234008884 - dataset_size: 80080 -- config_name: mk - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 333193 - num_examples: 1000 - - name: test - num_bytes: 337757 - num_examples: 1000 - 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- name: train - num_bytes: 23244 - num_examples: 100 - download_size: 234008884 - dataset_size: 68788 -- config_name: mr - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 314858 - num_examples: 1000 - - name: test - num_bytes: 326290 - num_examples: 1000 - - name: train - num_bytes: 1598804 - num_examples: 5000 - download_size: 234008884 - dataset_size: 2239952 -- config_name: ms - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 183944 - num_examples: 1000 - - name: test - num_bytes: 183539 - num_examples: 1000 - - name: train - num_bytes: 3699238 - num_examples: 20000 - download_size: 234008884 - dataset_size: 4066721 -- config_name: mt - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 24571 - num_examples: 100 - - name: test - num_bytes: 24662 - num_examples: 100 - - name: train - num_bytes: 24956 - num_examples: 100 - download_size: 234008884 - dataset_size: 74189 -- config_name: mwl - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 51987 - num_examples: 100 - - name: test - num_bytes: 43008 - num_examples: 100 - - name: train - num_bytes: 44605 - num_examples: 100 - download_size: 234008884 - dataset_size: 139600 -- config_name: my - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 48953 - num_examples: 100 - - name: test - num_bytes: 45956 - num_examples: 100 - - name: train - num_bytes: 41371 - num_examples: 100 - download_size: 234008884 - dataset_size: 136280 -- config_name: mzn - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 25304 - num_examples: 100 - - name: test - num_bytes: 25947 - num_examples: 100 - - name: train - num_bytes: 24841 - num_examples: 100 - download_size: 234008884 - dataset_size: 76092 -- config_name: nap - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 21546 - num_examples: 100 - - name: test - num_bytes: 24194 - num_examples: 100 - - name: train - num_bytes: 26596 - num_examples: 100 - download_size: 234008884 - dataset_size: 72336 -- config_name: nds - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 28388 - num_examples: 100 - - name: test - num_bytes: 26571 - num_examples: 100 - - name: train - num_bytes: 24679 - num_examples: 100 - download_size: 234008884 - dataset_size: 79638 -- config_name: ne - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 33932 - num_examples: 100 - - name: test - num_bytes: 33227 - num_examples: 100 - - name: train - num_bytes: 36173 - num_examples: 100 - download_size: 234008884 - dataset_size: 103332 -- config_name: nl - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2378080 - num_examples: 10000 - - name: test - num_bytes: 2403076 - num_examples: 10000 - - name: train - num_bytes: 4784289 - num_examples: 20000 - download_size: 234008884 - dataset_size: 9565445 -- config_name: nn - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 274140 - num_examples: 1000 - - name: test - num_bytes: 269631 - num_examples: 1000 - - name: train - num_bytes: 5436185 - num_examples: 20000 - download_size: 234008884 - dataset_size: 5979956 -- config_name: 'no' - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2576669 - num_examples: 10000 - - name: test - num_bytes: 2563559 - num_examples: 10000 - - name: train - num_bytes: 5139548 - num_examples: 20000 - download_size: 234008884 - dataset_size: 10279776 -- config_name: nov - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 14856 - num_examples: 100 - - name: test - num_bytes: 14830 - num_examples: 100 - - name: train - num_bytes: 17270 - num_examples: 100 - download_size: 234008884 - dataset_size: 46956 -- config_name: oc - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 20428 - num_examples: 100 - - name: test - num_bytes: 18600 - num_examples: 100 - - name: train - num_bytes: 19319 - num_examples: 100 - download_size: 234008884 - dataset_size: 58347 -- config_name: or - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 32131 - num_examples: 100 - - name: test - num_bytes: 29508 - num_examples: 100 - - name: train - num_bytes: 27822 - num_examples: 100 - download_size: 234008884 - dataset_size: 89461 -- config_name: os - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 26779 - num_examples: 100 - - name: test - num_bytes: 25995 - num_examples: 100 - - name: train - num_bytes: 26033 - num_examples: 100 - download_size: 234008884 - dataset_size: 78807 -- config_name: pa - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 25230 - num_examples: 100 - - name: test - num_bytes: 23708 - num_examples: 100 - - name: train - num_bytes: 24171 - num_examples: 100 - download_size: 234008884 - dataset_size: 73109 -- config_name: pdc - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 24419 - num_examples: 100 - - name: test - num_bytes: 24674 - num_examples: 100 - - name: train - num_bytes: 23991 - num_examples: 100 - download_size: 234008884 - dataset_size: 73084 -- config_name: pl - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2448324 - num_examples: 10000 - - name: test - num_bytes: 2463783 - num_examples: 10000 - - name: train - num_bytes: 4851527 - num_examples: 20000 - download_size: 234008884 - dataset_size: 9763634 -- config_name: pms - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 28369 - num_examples: 100 - - name: test - num_bytes: 24015 - num_examples: 100 - - name: train - num_bytes: 27429 - num_examples: 100 - download_size: 234008884 - dataset_size: 79813 -- config_name: pnb - features: - - name: tokens - sequence: string - - name: ner_tags - 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names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 1962145 - num_examples: 10000 - - name: test - num_bytes: 1946729 - num_examples: 10000 - - name: train - num_bytes: 3917453 - num_examples: 20000 - download_size: 234008884 - dataset_size: 7826327 -- config_name: qu - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 18231 - num_examples: 100 - - name: test - num_bytes: 17675 - num_examples: 100 - - name: train - num_bytes: 16989 - num_examples: 100 - download_size: 234008884 - dataset_size: 52895 -- config_name: rm - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 32776 - num_examples: 100 - - name: test - num_bytes: 35880 - num_examples: 100 - - name: train - num_bytes: 30489 - num_examples: 100 - download_size: 234008884 - dataset_size: 99145 -- config_name: ro - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2063860 - num_examples: 10000 - - name: test - num_bytes: 2060933 - num_examples: 10000 - - name: train - num_bytes: 4179869 - num_examples: 20000 - download_size: 234008884 - dataset_size: 8304662 -- config_name: ru - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2574546 - num_examples: 10000 - - name: test - num_bytes: 2597248 - num_examples: 10000 - - name: train - num_bytes: 5175665 - num_examples: 20000 - download_size: 234008884 - dataset_size: 10347459 -- config_name: rw - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 17999 - num_examples: 100 - - name: test - num_bytes: 14445 - num_examples: 100 - - name: train - num_bytes: 16778 - num_examples: 100 - download_size: 234008884 - dataset_size: 49222 -- config_name: sa - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 45721 - num_examples: 100 - - name: test - num_bytes: 49209 - num_examples: 100 - - name: train - num_bytes: 52504 - num_examples: 100 - download_size: 234008884 - dataset_size: 147434 -- config_name: sah - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 27875 - num_examples: 100 - - name: test - num_bytes: 26853 - num_examples: 100 - - name: train - num_bytes: 27041 - num_examples: 100 - download_size: 234008884 - dataset_size: 81769 -- config_name: scn - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 20105 - num_examples: 100 - - name: test - num_bytes: 17384 - num_examples: 100 - - name: train - num_bytes: 21032 - num_examples: 100 - download_size: 234008884 - dataset_size: 58521 -- config_name: sco - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 22215 - num_examples: 100 - - name: test - num_bytes: 21589 - num_examples: 100 - - name: train - num_bytes: 20308 - num_examples: 100 - download_size: 234008884 - dataset_size: 64112 -- config_name: sd - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 51555 - num_examples: 100 - - name: test - num_bytes: 38534 - num_examples: 100 - - name: train - num_bytes: 56925 - num_examples: 100 - download_size: 234008884 - dataset_size: 147014 -- config_name: sh - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 1789918 - num_examples: 10000 - - name: test - num_bytes: 1791491 - num_examples: 10000 - - name: train - num_bytes: 3583633 - num_examples: 20000 - download_size: 234008884 - dataset_size: 7165042 -- config_name: si - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 30845 - num_examples: 100 - - name: test - num_bytes: 29341 - num_examples: 100 - - name: train - num_bytes: 31255 - num_examples: 100 - download_size: 234008884 - dataset_size: 91441 -- config_name: simple - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 247147 - num_examples: 1000 - - name: test - num_bytes: 245358 - num_examples: 1000 - - name: train - num_bytes: 4921916 - num_examples: 20000 - download_size: 234008884 - dataset_size: 5414421 -- config_name: sk - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2342061 - num_examples: 10000 - - name: test - num_bytes: 2335009 - num_examples: 10000 - - name: train - num_bytes: 4701553 - num_examples: 20000 - download_size: 234008884 - dataset_size: 9378623 -- config_name: sl - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2090247 - num_examples: 10000 - - name: test - num_bytes: 2133491 - num_examples: 10000 - - name: train - num_bytes: 3158676 - num_examples: 15000 - download_size: 234008884 - dataset_size: 7382414 -- config_name: so - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 21864 - num_examples: 100 - - name: test - num_bytes: 17219 - num_examples: 100 - - name: train - num_bytes: 23780 - num_examples: 100 - download_size: 234008884 - dataset_size: 62863 -- config_name: sq - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 210888 - num_examples: 1000 - - name: test - num_bytes: 209824 - num_examples: 1000 - - name: train - num_bytes: 1052387 - num_examples: 5000 - download_size: 234008884 - dataset_size: 1473099 -- config_name: sr - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2548390 - num_examples: 10000 - - name: test - num_bytes: 2564831 - num_examples: 10000 - - name: train - num_bytes: 5105569 - num_examples: 20000 - download_size: 234008884 - dataset_size: 10218790 -- config_name: su - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 22605 - num_examples: 100 - - name: test - num_bytes: 21861 - num_examples: 100 - - name: train - num_bytes: 20839 - num_examples: 100 - download_size: 234008884 - dataset_size: 65305 -- config_name: sv - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2678672 - num_examples: 10000 - - name: test - num_bytes: 2719077 - num_examples: 10000 - - name: train - num_bytes: 5395722 - num_examples: 20000 - download_size: 234008884 - dataset_size: 10793471 -- config_name: sw - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 168819 - num_examples: 1000 - - name: test - num_bytes: 172693 - num_examples: 1000 - - name: train - num_bytes: 168749 - num_examples: 1000 - download_size: 234008884 - dataset_size: 510261 -- config_name: szl - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 19397 - num_examples: 100 - - name: test - num_bytes: 18967 - num_examples: 100 - - name: train - num_bytes: 17646 - num_examples: 100 - download_size: 234008884 - dataset_size: 56010 -- config_name: ta - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 354957 - num_examples: 1000 - - name: test - num_bytes: 357667 - num_examples: 1000 - - name: train - num_bytes: 5275759 - num_examples: 15000 - download_size: 234008884 - dataset_size: 5988383 -- config_name: te - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 356189 - num_examples: 1000 - - name: test - num_bytes: 359780 - num_examples: 1000 - - name: train - num_bytes: 358792 - num_examples: 1000 - download_size: 234008884 - dataset_size: 1074761 -- config_name: tg - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 27130 - num_examples: 100 - - name: test - num_bytes: 28821 - num_examples: 100 - - name: train - num_bytes: 27200 - num_examples: 100 - download_size: 234008884 - dataset_size: 83151 -- config_name: th - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 14189743 - num_examples: 10000 - - name: test - num_bytes: 14505054 - num_examples: 10000 - - name: train - num_bytes: 28968916 - num_examples: 20000 - download_size: 234008884 - dataset_size: 57663713 -- config_name: tk - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 21611 - num_examples: 100 - - name: test - num_bytes: 20302 - num_examples: 100 - - name: train - num_bytes: 19521 - num_examples: 100 - download_size: 234008884 - dataset_size: 61434 -- config_name: tl - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 148682 - num_examples: 1000 - - name: test - num_bytes: 152964 - num_examples: 1000 - - name: train - num_bytes: 1518784 - num_examples: 10000 - download_size: 234008884 - dataset_size: 1820430 -- config_name: tr - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2280517 - num_examples: 10000 - - name: test - num_bytes: 2276920 - num_examples: 10000 - - name: train - num_bytes: 4501912 - num_examples: 20000 - download_size: 234008884 - dataset_size: 9059349 -- config_name: tt - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 282535 - num_examples: 1000 - - name: test - num_bytes: 282691 - num_examples: 1000 - - name: train - num_bytes: 283392 - num_examples: 1000 - download_size: 234008884 - dataset_size: 848618 -- config_name: ug - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 35219 - num_examples: 100 - - name: test - num_bytes: 31129 - num_examples: 100 - - name: train - num_bytes: 26620 - num_examples: 100 - download_size: 234008884 - dataset_size: 92968 -- config_name: uk - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 2934897 - num_examples: 10000 - - name: test - num_bytes: 2928200 - num_examples: 10000 - - name: train - num_bytes: 5928026 - num_examples: 20000 - download_size: 234008884 - dataset_size: 11791123 -- config_name: ur - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 203747 - num_examples: 1000 - - name: test - num_bytes: 203138 - num_examples: 1000 - - name: train - num_bytes: 4108707 - num_examples: 20000 - download_size: 234008884 - dataset_size: 4515592 -- config_name: uz - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 184625 - num_examples: 1000 - - name: test - num_bytes: 184713 - num_examples: 1000 - - name: train - num_bytes: 186105 - num_examples: 1000 - download_size: 234008884 - dataset_size: 555443 -- config_name: vec - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 19335 - num_examples: 100 - - name: test - num_bytes: 20254 - num_examples: 100 - - name: train - num_bytes: 20437 - num_examples: 100 - download_size: 234008884 - dataset_size: 60026 -- config_name: vep - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 22306 - num_examples: 100 - - name: test - num_bytes: 21371 - num_examples: 100 - - name: train - num_bytes: 21387 - num_examples: 100 - download_size: 234008884 - dataset_size: 65064 -- config_name: vi - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 1944856 - num_examples: 10000 - - name: test - num_bytes: 1960024 - num_examples: 10000 - - name: train - num_bytes: 3915944 - num_examples: 20000 - download_size: 234008884 - dataset_size: 7820824 -- config_name: vls - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 27895 - num_examples: 100 - - name: test - num_bytes: 26778 - num_examples: 100 - - name: train - num_bytes: 26183 - num_examples: 100 - download_size: 234008884 - dataset_size: 80856 -- config_name: vo - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 14385 - num_examples: 100 - - name: test - num_bytes: 14001 - num_examples: 100 - - name: train - num_bytes: 14442 - num_examples: 100 - download_size: 234008884 - dataset_size: 42828 -- config_name: wa - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 22493 - num_examples: 100 - - name: test - num_bytes: 21581 - num_examples: 100 - - name: train - num_bytes: 23072 - num_examples: 100 - download_size: 234008884 - dataset_size: 67146 -- config_name: war - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 16834 - num_examples: 100 - - name: test - num_bytes: 19912 - num_examples: 100 - - name: train - num_bytes: 18829 - num_examples: 100 - download_size: 234008884 - dataset_size: 55575 -- config_name: wuu - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 15123 - num_examples: 100 - - name: test - num_bytes: 15067 - num_examples: 100 - - name: train - num_bytes: 17016 - num_examples: 100 - download_size: 234008884 - dataset_size: 47206 -- config_name: xmf - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 39979 - num_examples: 100 - - name: test - num_bytes: 36081 - num_examples: 100 - - name: train - num_bytes: 31796 - num_examples: 100 - download_size: 234008884 - dataset_size: 107856 -- config_name: yi - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 25269 - num_examples: 100 - - name: test - num_bytes: 25005 - num_examples: 100 - - name: train - num_bytes: 27303 - num_examples: 100 - download_size: 234008884 - dataset_size: 77577 -- config_name: yo - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 17738 - num_examples: 100 - - name: test - num_bytes: 17996 - num_examples: 100 - - name: train - num_bytes: 18984 - num_examples: 100 - download_size: 234008884 - dataset_size: 54718 -- config_name: zea - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 24916 - num_examples: 100 - - name: test - num_bytes: 22997 - num_examples: 100 - - name: train - num_bytes: 21252 - num_examples: 100 - download_size: 234008884 - dataset_size: 69165 -- config_name: zh - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 4839728 - num_examples: 10000 - - name: test - num_bytes: 4709458 - num_examples: 10000 - - name: train - num_bytes: 9524981 - num_examples: 20000 - download_size: 234008884 - dataset_size: 19074167 -- config_name: zh-classical - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 59980 - num_examples: 100 - - name: test - num_bytes: 65885 - num_examples: 100 - - name: train - num_bytes: 56238 - num_examples: 100 - download_size: 234008884 - dataset_size: 182103 -- config_name: zh-min-nan - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 24533 - num_examples: 100 - - name: test - num_bytes: 24326 - num_examples: 100 - - name: train - num_bytes: 19358 - num_examples: 100 - download_size: 234008884 - dataset_size: 68217 -- config_name: zh-yue - features: - - name: tokens - sequence: string - - name: ner_tags - sequence: - class_label: - names: - 0: O - 1: B-PER - 2: I-PER - 3: B-ORG - 4: I-ORG - 5: B-LOC - 6: I-LOC - - name: langs - sequence: string - - name: spans - sequence: string - splits: - - name: validation - num_bytes: 4934158 - num_examples: 10000 - - name: test - num_bytes: 4964029 - num_examples: 10000 - - name: train - num_bytes: 9950629 - num_examples: 20000 - download_size: 234008884 - dataset_size: 19848816 ---- - -# Dataset Card for WikiANN - -## Table of Contents -- [Dataset Description](#dataset-description) - - [Dataset Summary](#dataset-summary) - - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - - [Languages](#languages) -- [Dataset Structure](#dataset-structure) - - [Data Instances](#data-instances) - - [Data Fields](#data-fields) - - [Data Splits](#data-splits) -- [Dataset Creation](#dataset-creation) - - [Curation Rationale](#curation-rationale) - - [Source Data](#source-data) - - [Annotations](#annotations) - - [Personal and Sensitive Information](#personal-and-sensitive-information) -- [Considerations for Using the Data](#considerations-for-using-the-data) - - [Social Impact of Dataset](#social-impact-of-dataset) - - [Discussion of Biases](#discussion-of-biases) - - [Other Known Limitations](#other-known-limitations) -- [Additional Information](#additional-information) - - [Dataset Curators](#dataset-curators) - - [Licensing Information](#licensing-information) - - [Citation Information](#citation-information) - - [Contributions](#contributions) - -## Dataset Description - -- **Homepage:** [Massively Multilingual Transfer for NER](https://github.com/afshinrahimi/mmner) -- **Repository:** [Massively Multilingual Transfer for NER](https://github.com/afshinrahimi/mmner) -- **Paper:** The original datasets come from the _Cross-lingual name tagging and linking for 282 languages_ [paper](https://www.aclweb.org/anthology/P17-1178/) by Xiaoman Pan et al. (2018). This version corresponds to the balanced train, dev, and test splits of the original data from the _Massively Multilingual Transfer for NER_ [paper](https://arxiv.org/abs/1902.00193) by Afshin Rahimi et al. (2019). -- **Leaderboard:** -- **Point of Contact:** [Afshin Rahimi](mailto:afshinrahimi@gmail.com) or [Lewis Tunstall](mailto:lewis.c.tunstall@gmail.com) or [Albert Villanova del Moral](albert@huggingface.co) - -### Dataset Summary - -WikiANN (sometimes called PAN-X) is a multilingual named entity recognition dataset consisting of Wikipedia articles annotated with LOC (location), PER (person), and ORG (organisation) tags in the IOB2 format. This version corresponds to the balanced train, dev, and test splits of Rahimi et al. (2019), which supports 176 of the 282 languages from the original WikiANN corpus. - -### Supported Tasks and Leaderboards - -- `named-entity-recognition`: The dataset can be used to train a model for named entity recognition in many languages, or evaluate the zero-shot cross-lingual capabilities of multilingual models. - -### Languages - -The dataset contains 176 languages, one in each of the configuration subsets. The corresponding BCP 47 language tags -are: - -| | Language tag | -|:-------------------|:---------------| -| ace | ace | -| af | af | -| als | als | -| am | am | -| an | an | -| ang | ang | -| ar | ar | -| arc | arc | -| arz | arz | -| as | as | -| ast | ast | -| ay | ay | -| az | az | -| ba | ba | -| bar | bar | -| be | be | -| bg | bg | -| bh | bh | -| bn | bn | -| bo | bo | -| br | br | -| bs | bs | -| ca | ca | -| cdo | cdo | -| ce | ce | -| ceb | ceb | -| ckb | ckb | -| co | co | -| crh | crh | -| cs | cs | -| csb | csb | -| cv | cv | -| cy | cy | -| da | da | -| de | de | -| diq | diq | -| dv | dv | -| el | el | -| en | en | -| eo | eo | -| es | es | -| et | et | -| eu | eu | -| ext | ext | -| fa | fa | -| fi | fi | -| fo | fo | -| fr | fr | -| frr | frr | -| fur | fur | -| fy | fy | -| ga | ga | -| gan | gan | -| gd | gd | -| gl | gl | -| gn | gn | -| gu | gu | -| hak | hak | -| he | he | -| hi | hi | -| hr | hr | -| hsb | hsb | -| hu | hu | -| hy | hy | -| ia | ia | -| id | id | -| ig | ig | -| ilo | ilo | -| io | io | -| is | is | -| it | it | -| ja | ja | -| jbo | jbo | -| jv | jv | -| ka | ka | -| kk | kk | -| km | km | -| kn | kn | -| ko | ko | -| ksh | ksh | -| ku | ku | -| ky | ky | -| la | la | -| lb | lb | -| li | li | -| lij | lij | -| lmo | lmo | -| ln | ln | -| lt | lt | -| lv | lv | -| mg | mg | -| mhr | mhr | -| mi | mi | -| min | min | -| mk | mk | -| ml | ml | -| mn | mn | -| mr | mr | -| ms | ms | -| mt | mt | -| mwl | mwl | -| my | my | -| mzn | mzn | -| nap | nap | -| nds | nds | -| ne | ne | -| nl | nl | -| nn | nn | -| no | no | -| nov | nov | -| oc | oc | -| or | or | -| os | os | -| other-bat-smg | sgs | -| other-be-x-old | be-tarask | -| other-cbk-zam | cbk | -| other-eml | eml | -| other-fiu-vro | vro | -| other-map-bms | jv-x-bms | -| other-simple | en-basiceng | -| other-zh-classical | lzh | -| other-zh-min-nan | nan | -| other-zh-yue | yue | -| pa | pa | -| pdc | pdc | -| pl | pl | -| pms | pms | -| pnb | pnb | -| ps | ps | -| pt | pt | -| qu | qu | -| rm | rm | -| ro | ro | -| ru | ru | -| rw | rw | -| sa | sa | -| sah | sah | -| scn | scn | -| sco | sco | -| sd | sd | -| sh | sh | -| si | si | -| sk | sk | -| sl | sl | -| so | so | -| sq | sq | -| sr | sr | -| su | su | -| sv | sv | -| sw | sw | -| szl | szl | -| ta | ta | -| te | te | -| tg | tg | -| th | th | -| tk | tk | -| tl | tl | -| tr | tr | -| tt | tt | -| ug | ug | -| uk | uk | -| ur | ur | -| uz | uz | -| vec | vec | -| vep | vep | -| vi | vi | -| vls | vls | -| vo | vo | -| wa | wa | -| war | war | -| wuu | wuu | -| xmf | xmf | -| yi | yi | -| yo | yo | -| zea | zea | -| zh | zh | - -## Dataset Structure - -### Data Instances - -This is an example in the "train" split of the "af" (Afrikaans language) configuration subset: -```python -{ - 'tokens': ['Sy', 'ander', 'seun', ',', 'Swjatopolk', ',', 'was', 'die', 'resultaat', 'van', '’n', 'buite-egtelike', 'verhouding', '.'], - 'ner_tags': [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], - 'langs': ['af', 'af', 'af', 'af', 'af', 'af', 'af', 'af', 'af', 'af', 'af', 'af', 'af', 'af'], - 'spans': ['PER: Swjatopolk'] -} -``` - -### Data Fields - -- `tokens`: a `list` of `string` features. -- `langs`: a `list` of `string` features that correspond to the language of each token. -- `ner_tags`: a `list` of classification labels, with possible values including `O` (0), `B-PER` (1), `I-PER` (2), `B-ORG` (3), `I-ORG` (4), `B-LOC` (5), `I-LOC` (6). -- `spans`: a `list` of `string` features, that is the list of named entities in the input text formatted as ``: `` - -### Data Splits - -For each configuration subset, the data is split into "train", "validation" and "test" sets, each containing the -following number of examples: - -| | Train | Validation | Test | -|:-------------|--------:|-------------:|-------:| -| ace | 100 | 100 | 100 | -| af | 5000 | 1000 | 1000 | -| als | 100 | 100 | 100 | -| am | 100 | 100 | 100 | -| an | 1000 | 1000 | 1000 | -| ang | 100 | 100 | 100 | -| ar | 20000 | 10000 | 10000 | -| arc | 100 | 100 | 100 | -| arz | 100 | 100 | 100 | -| as | 100 | 100 | 100 | -| ast | 1000 | 1000 | 1000 | -| ay | 100 | 100 | 100 | -| az | 10000 | 1000 | 1000 | -| ba | 100 | 100 | 100 | -| bar | 100 | 100 | 100 | -| bat-smg | 100 | 100 | 100 | -| be | 15000 | 1000 | 1000 | -| be-x-old | 5000 | 1000 | 1000 | -| bg | 20000 | 10000 | 10000 | -| bh | 100 | 100 | 100 | -| bn | 10000 | 1000 | 1000 | -| bo | 100 | 100 | 100 | -| br | 1000 | 1000 | 1000 | -| bs | 15000 | 1000 | 1000 | -| ca | 20000 | 10000 | 10000 | -| cbk-zam | 100 | 100 | 100 | -| cdo | 100 | 100 | 100 | -| ce | 100 | 100 | 100 | -| ceb | 100 | 100 | 100 | -| ckb | 1000 | 1000 | 1000 | -| co | 100 | 100 | 100 | -| crh | 100 | 100 | 100 | -| cs | 20000 | 10000 | 10000 | -| csb | 100 | 100 | 100 | -| cv | 100 | 100 | 100 | -| cy | 10000 | 1000 | 1000 | -| da | 20000 | 10000 | 10000 | -| de | 20000 | 10000 | 10000 | -| diq | 100 | 100 | 100 | -| dv | 100 | 100 | 100 | -| el | 20000 | 10000 | 10000 | -| eml | 100 | 100 | 100 | -| en | 20000 | 10000 | 10000 | -| eo | 15000 | 10000 | 10000 | -| es | 20000 | 10000 | 10000 | -| et | 15000 | 10000 | 10000 | -| eu | 10000 | 10000 | 10000 | -| ext | 100 | 100 | 100 | -| fa | 20000 | 10000 | 10000 | -| fi | 20000 | 10000 | 10000 | -| fiu-vro | 100 | 100 | 100 | -| fo | 100 | 100 | 100 | -| fr | 20000 | 10000 | 10000 | -| frr | 100 | 100 | 100 | -| fur | 100 | 100 | 100 | -| fy | 1000 | 1000 | 1000 | -| ga | 1000 | 1000 | 1000 | -| gan | 100 | 100 | 100 | -| gd | 100 | 100 | 100 | -| gl | 15000 | 10000 | 10000 | -| gn | 100 | 100 | 100 | -| gu | 100 | 100 | 100 | -| hak | 100 | 100 | 100 | -| he | 20000 | 10000 | 10000 | -| hi | 5000 | 1000 | 1000 | -| hr | 20000 | 10000 | 10000 | -| hsb | 100 | 100 | 100 | -| hu | 20000 | 10000 | 10000 | -| hy | 15000 | 1000 | 1000 | -| ia | 100 | 100 | 100 | -| id | 20000 | 10000 | 10000 | -| ig | 100 | 100 | 100 | -| ilo | 100 | 100 | 100 | -| io | 100 | 100 | 100 | -| is | 1000 | 1000 | 1000 | -| it | 20000 | 10000 | 10000 | -| ja | 20000 | 10000 | 10000 | -| jbo | 100 | 100 | 100 | -| jv | 100 | 100 | 100 | -| ka | 10000 | 10000 | 10000 | -| kk | 1000 | 1000 | 1000 | -| km | 100 | 100 | 100 | -| kn | 100 | 100 | 100 | -| ko | 20000 | 10000 | 10000 | -| ksh | 100 | 100 | 100 | -| ku | 100 | 100 | 100 | -| ky | 100 | 100 | 100 | -| la | 5000 | 1000 | 1000 | -| lb | 5000 | 1000 | 1000 | -| li | 100 | 100 | 100 | -| lij | 100 | 100 | 100 | -| lmo | 100 | 100 | 100 | -| ln | 100 | 100 | 100 | -| lt | 10000 | 10000 | 10000 | -| lv | 10000 | 10000 | 10000 | -| map-bms | 100 | 100 | 100 | -| mg | 100 | 100 | 100 | -| mhr | 100 | 100 | 100 | -| mi | 100 | 100 | 100 | -| min | 100 | 100 | 100 | -| mk | 10000 | 1000 | 1000 | -| ml | 10000 | 1000 | 1000 | -| mn | 100 | 100 | 100 | -| mr | 5000 | 1000 | 1000 | -| ms | 20000 | 1000 | 1000 | -| mt | 100 | 100 | 100 | -| mwl | 100 | 100 | 100 | -| my | 100 | 100 | 100 | -| mzn | 100 | 100 | 100 | -| nap | 100 | 100 | 100 | -| nds | 100 | 100 | 100 | -| ne | 100 | 100 | 100 | -| nl | 20000 | 10000 | 10000 | -| nn | 20000 | 1000 | 1000 | -| no | 20000 | 10000 | 10000 | -| nov | 100 | 100 | 100 | -| oc | 100 | 100 | 100 | -| or | 100 | 100 | 100 | -| os | 100 | 100 | 100 | -| pa | 100 | 100 | 100 | -| pdc | 100 | 100 | 100 | -| pl | 20000 | 10000 | 10000 | -| pms | 100 | 100 | 100 | -| pnb | 100 | 100 | 100 | -| ps | 100 | 100 | 100 | -| pt | 20000 | 10000 | 10000 | -| qu | 100 | 100 | 100 | -| rm | 100 | 100 | 100 | -| ro | 20000 | 10000 | 10000 | -| ru | 20000 | 10000 | 10000 | -| rw | 100 | 100 | 100 | -| sa | 100 | 100 | 100 | -| sah | 100 | 100 | 100 | -| scn | 100 | 100 | 100 | -| sco | 100 | 100 | 100 | -| sd | 100 | 100 | 100 | -| sh | 20000 | 10000 | 10000 | -| si | 100 | 100 | 100 | -| simple | 20000 | 1000 | 1000 | -| sk | 20000 | 10000 | 10000 | -| sl | 15000 | 10000 | 10000 | -| so | 100 | 100 | 100 | -| sq | 5000 | 1000 | 1000 | -| sr | 20000 | 10000 | 10000 | -| su | 100 | 100 | 100 | -| sv | 20000 | 10000 | 10000 | -| sw | 1000 | 1000 | 1000 | -| szl | 100 | 100 | 100 | -| ta | 15000 | 1000 | 1000 | -| te | 1000 | 1000 | 1000 | -| tg | 100 | 100 | 100 | -| th | 20000 | 10000 | 10000 | -| tk | 100 | 100 | 100 | -| tl | 10000 | 1000 | 1000 | -| tr | 20000 | 10000 | 10000 | -| tt | 1000 | 1000 | 1000 | -| ug | 100 | 100 | 100 | -| uk | 20000 | 10000 | 10000 | -| ur | 20000 | 1000 | 1000 | -| uz | 1000 | 1000 | 1000 | -| vec | 100 | 100 | 100 | -| vep | 100 | 100 | 100 | -| vi | 20000 | 10000 | 10000 | -| vls | 100 | 100 | 100 | -| vo | 100 | 100 | 100 | -| wa | 100 | 100 | 100 | -| war | 100 | 100 | 100 | -| wuu | 100 | 100 | 100 | -| xmf | 100 | 100 | 100 | -| yi | 100 | 100 | 100 | -| yo | 100 | 100 | 100 | -| zea | 100 | 100 | 100 | -| zh | 20000 | 10000 | 10000 | -| zh-classical | 100 | 100 | 100 | -| zh-min-nan | 100 | 100 | 100 | -| zh-yue | 20000 | 10000 | 10000 | - -## 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 - -[More Information Needed] - -#### 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 - -[More Information Needed] - -### Citation Information - -The original 282 datasets are associated with this article - -``` -@inproceedings{pan-etal-2017-cross, - title = "Cross-lingual Name Tagging and Linking for 282 Languages", - author = "Pan, Xiaoman and - Zhang, Boliang and - May, Jonathan and - Nothman, Joel and - Knight, Kevin and - Ji, Heng", - booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)", - month = jul, - year = "2017", - address = "Vancouver, Canada", - publisher = "Association for Computational Linguistics", - url = "https://www.aclweb.org/anthology/P17-1178", - doi = "10.18653/v1/P17-1178", - pages = "1946--1958", - abstract = "The ambitious goal of this work is to develop a cross-lingual name tagging and linking framework for 282 languages that exist in Wikipedia. Given a document in any of these languages, our framework is able to identify name mentions, assign a coarse-grained or fine-grained type to each mention, and link it to an English Knowledge Base (KB) if it is linkable. We achieve this goal by performing a series of new KB mining methods: generating {``}silver-standard{''} annotations by transferring annotations from English to other languages through cross-lingual links and KB properties, refining annotations through self-training and topic selection, deriving language-specific morphology features from anchor links, and mining word translation pairs from cross-lingual links. Both name tagging and linking results for 282 languages are promising on Wikipedia data and on-Wikipedia data.", -} -``` - -while the 176 languages supported in this version are associated with the following article - -``` -@inproceedings{rahimi-etal-2019-massively, - title = "Massively Multilingual Transfer for {NER}", - author = "Rahimi, Afshin and - Li, Yuan and - Cohn, Trevor", - booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics", - month = jul, - year = "2019", - address = "Florence, Italy", - publisher = "Association for Computational Linguistics", - url = "https://www.aclweb.org/anthology/P19-1015", - pages = "151--164", -} -``` - - -### Contributions - -Thanks to [@lewtun](https://github.com/lewtun) and [@rabeehk](https://github.com/rabeehk) for adding this dataset. \ No newline at end of file diff --git a/ace/wikiann-test.parquet b/ace/wikiann-test.parquet new file mode 100644 index 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Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -"""The WikiANN dataset for multilingual named entity recognition""" - - -import os - -import datasets - - -_CITATION = """@inproceedings{pan-etal-2017-cross, - title = "Cross-lingual Name Tagging and Linking for 282 Languages", - author = "Pan, Xiaoman and - Zhang, Boliang and - May, Jonathan and - Nothman, Joel and - Knight, Kevin and - Ji, Heng", - booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)", - month = jul, - year = "2017", - address = "Vancouver, Canada", - publisher = "Association for Computational Linguistics", - url = "https://www.aclweb.org/anthology/P17-1178", - doi = "10.18653/v1/P17-1178", - pages = "1946--1958", - abstract = "The ambitious goal of this work is to develop a cross-lingual name tagging and linking framework for 282 languages that exist in Wikipedia. Given a document in any of these languages, our framework is able to identify name mentions, assign a coarse-grained or fine-grained type to each mention, and link it to an English Knowledge Base (KB) if it is linkable. We achieve this goal by performing a series of new KB mining methods: generating {``}silver-standard{''} annotations by transferring annotations from English to other languages through cross-lingual links and KB properties, refining annotations through self-training and topic selection, deriving language-specific morphology features from anchor links, and mining word translation pairs from cross-lingual links. Both name tagging and linking results for 282 languages are promising on Wikipedia data and on-Wikipedia data.", -}""" - -_DESCRIPTION = """WikiANN (sometimes called PAN-X) is a multilingual named entity recognition dataset consisting of Wikipedia articles annotated with LOC (location), PER (person), and ORG (organisation) tags in the IOB2 format. This version corresponds to the balanced train, dev, and test splits of Rahimi et al. (2019), which supports 176 of the 282 languages from the original WikiANN corpus.""" - -_DATA_URL = "https://s3.amazonaws.com/datasets.huggingface.co/wikiann/1.1.0/panx_dataset.zip" -_HOMEPAGE = "https://github.com/afshinrahimi/mmner" -_VERSION = "1.1.0" -_LANGS = [ - "ace", - "af", - "als", - "am", - "an", - "ang", - "ar", - "arc", - "arz", - "as", - "ast", - "ay", - "az", - "ba", - "bar", - "bat-smg", - "be", - "be-x-old", - "bg", - "bh", - "bn", - "bo", - "br", - "bs", - "ca", - "cbk-zam", - "cdo", - "ce", - "ceb", - "ckb", - "co", - "crh", - "cs", - "csb", - "cv", - "cy", - "da", - "de", - "diq", - "dv", - "el", - "eml", - "en", - "eo", - "es", - "et", - "eu", - "ext", - "fa", - "fi", - "fiu-vro", - "fo", - "fr", - "frr", - "fur", - "fy", - "ga", - "gan", - "gd", - "gl", - "gn", - "gu", - "hak", - "he", - "hi", - "hr", - "hsb", - "hu", - "hy", - "ia", - "id", - "ig", - "ilo", - "io", - "is", - "it", - "ja", - "jbo", - "jv", - "ka", - "kk", - "km", - "kn", - "ko", - "ksh", - "ku", - "ky", - "la", - "lb", - "li", - "lij", - "lmo", - "ln", - "lt", - "lv", - "map-bms", - "mg", - "mhr", - "mi", - "min", - "mk", - "ml", - "mn", - "mr", - "ms", - "mt", - "mwl", - "my", - "mzn", - "nap", - "nds", - "ne", - "nl", - "nn", - "no", - "nov", - "oc", - "or", - "os", - "pa", - "pdc", - "pl", - "pms", - "pnb", - "ps", - "pt", - "qu", - "rm", - "ro", - "ru", - "rw", - "sa", - "sah", - "scn", - "sco", - "sd", - "sh", - "si", - "simple", - "sk", - "sl", - "so", - "sq", - "sr", - "su", - "sv", - "sw", - "szl", - "ta", - "te", - "tg", - "th", - "tk", - "tl", - "tr", - "tt", - "ug", - "uk", - "ur", - "uz", - "vec", - "vep", - "vi", - "vls", - "vo", - "wa", - "war", - "wuu", - "xmf", - "yi", - "yo", - "zea", - "zh", - "zh-classical", - "zh-min-nan", - "zh-yue", -] - - -class WikiannConfig(datasets.BuilderConfig): - def __init__(self, **kwargs): - super(WikiannConfig, self).__init__(version=datasets.Version(_VERSION, ""), **kwargs) - - -class Wikiann(datasets.GeneratorBasedBuilder): - """WikiANN is a multilingual named entity recognition dataset consisting of Wikipedia articles annotated with LOC, PER, and ORG tags""" - - VERSION = datasets.Version(_VERSION) - # use two-letter ISO 639-1 language codes as the name for each corpus - BUILDER_CONFIGS = [ - WikiannConfig(name=lang, description=f"WikiANN NER examples in language {lang}") for lang in _LANGS - ] - - def _tags_to_spans(self, tags): - """Convert tags to spans.""" - spans = set() - span_start = 0 - span_end = 0 - active_conll_tag = None - for index, string_tag in enumerate(tags): - # Actual BIO tag. - bio_tag = string_tag[0] - assert bio_tag in ["B", "I", "O"], "Invalid Tag" - conll_tag = string_tag[2:] - if bio_tag == "O": - # The span has ended. - if active_conll_tag: - spans.add((active_conll_tag, (span_start, span_end))) - active_conll_tag = None - # We don't care about tags we are - # told to ignore, so we do nothing. - continue - elif bio_tag == "B": - # We are entering a new span; reset indices and active tag to new span. - if active_conll_tag: - spans.add((active_conll_tag, (span_start, span_end))) - active_conll_tag = conll_tag - span_start = index - span_end = index - elif bio_tag == "I" and conll_tag == active_conll_tag: - # We're inside a span. - span_end += 1 - else: - # This is the case the bio label is an "I", but either: - # 1) the span hasn't started - i.e. an ill formed span. - # 2) We have IOB1 tagging scheme. - # We'll process the previous span if it exists, but also include this - # span. This is important, because otherwise, a model may get a perfect - # F1 score whilst still including false positive ill-formed spans. - if active_conll_tag: - spans.add((active_conll_tag, (span_start, span_end))) - active_conll_tag = conll_tag - span_start = index - span_end = index - # Last token might have been a part of a valid span. - if active_conll_tag: - spans.add((active_conll_tag, (span_start, span_end))) - # Return sorted list of spans - return sorted(list(spans), key=lambda x: x[1][0]) - - def _get_spans(self, tokens, tags): - """Convert tags to textspans.""" - spans = self._tags_to_spans(tags) - text_spans = [x[0] + ": " + " ".join([tokens[i] for i in range(x[1][0], x[1][1] + 1)]) for x in spans] - if not text_spans: - text_spans = ["None"] - return text_spans - - def _info(self): - features = datasets.Features( - { - "tokens": datasets.Sequence(datasets.Value("string")), - "ner_tags": datasets.Sequence( - datasets.features.ClassLabel( - names=[ - "O", - "B-PER", - "I-PER", - "B-ORG", - "I-ORG", - "B-LOC", - "I-LOC", - ] - ) - ), - "langs": datasets.Sequence(datasets.Value("string")), - "spans": datasets.Sequence(datasets.Value("string")), - } - ) - return datasets.DatasetInfo( - description=_DESCRIPTION, - features=features, - supervised_keys=None, - homepage=_HOMEPAGE, - citation=_CITATION, - ) - - def _split_generators(self, dl_manager): - wikiann_dl_dir = dl_manager.download_and_extract(_DATA_URL) - lang = self.config.name - lang_archive = os.path.join(wikiann_dl_dir, lang + ".tar.gz") - - return [ - datasets.SplitGenerator( - name=datasets.Split.VALIDATION, - gen_kwargs={"filepath": "dev", "files": dl_manager.iter_archive(lang_archive)}, - ), - datasets.SplitGenerator( - name=datasets.Split.TEST, - gen_kwargs={"filepath": "test", "files": dl_manager.iter_archive(lang_archive)}, - ), - datasets.SplitGenerator( - name=datasets.Split.TRAIN, - gen_kwargs={"filepath": "train", "files": dl_manager.iter_archive(lang_archive)}, - ), - ] - - def _generate_examples(self, filepath, files): - """Reads line by line format of the NER dataset and generates examples. - Input Format: - en:rick B-PER - en:and O - en:morty B-PER - en:are O - en:cool O - en:. O - Output Format: - { - 'tokens': ["rick", "and", "morty", "are", "cool", "."], - 'ner_tags': ["B-PER", "O" , "B-PER", "O", "O", "O"], - 'langs': ["en", "en", "en", "en", "en", "en"] - 'spans': ["PER: rick", "PER: morty"] - } - Args: - filepath: Path to file with line by line NER format. - Returns: - Examples with the format listed above. - """ - guid_index = 1 - for path, f in files: - if path == filepath: - tokens = [] - ner_tags = [] - langs = [] - for line in f: - line = line.decode("utf-8") - if line == "" or line == "\n": - if tokens: - spans = self._get_spans(tokens, ner_tags) - yield guid_index, {"tokens": tokens, "ner_tags": ner_tags, "langs": langs, "spans": spans} - guid_index += 1 - tokens = [] - ner_tags = [] - langs = [] - else: - # wikiann data is tab separated - splits = line.split("\t") - # strip out en: prefix - langs.append(splits[0].split(":")[0]) - tokens.append(":".join(splits[0].split(":")[1:])) - if len(splits) > 1: - ner_tags.append(splits[-1].replace("\n", 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