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Datasets:
tner
/
wikiann

Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
Achinese
Bulgarian
Danish
Dataset card Files
xet
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@@ -195,12 +195,12 @@ WikiAnn NER dataset formatted in a part of [TNER](https://github.com/asahi417/tn
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  ## Dataset Structure
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  ### Data Instances
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- An example of `train` looks as follows.
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  ```
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  {
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- 'tokens': ['I', 'hate', 'the', 'words', 'chunder', ',', 'vomit', 'and', 'puke', '.', 'BUUH', '.'],
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- 'tags': [6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6]
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  }
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  ```
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@@ -220,9 +220,184 @@ The label2id dictionary can be found at [here](https://huggingface.co/datasets/t
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  ### Data Splits
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- | name |train|validation|test|
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- |---------|----:|---------:|---:|
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- |btc | 6338| 1001|2000|
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Citation Information
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  ## Dataset Structure
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  ### Data Instances
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+ An example of `train` of `ja` looks as follows.
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  ```
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  {
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+ 'tokens': ['#', '#', 'ユ', 'リ', 'ウ', 'ス', '・', 'ベ', 'ー', 'リ', 'ッ', 'ク', '#', '1', '9','9','9'],
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+ 'tags': [6, 6, 2, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6]
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  }
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  ```
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  ### Data Splits
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+ | language | train | validation | test |
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+ |:-------------|--------:|-------------:|-------:|
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+ | ace | 100 | 100 | 100 |
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+ | bg | 20000 | 10000 | 10000 |
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+ | da | 20000 | 10000 | 10000 |
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+ | fur | 100 | 100 | 100 |
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+ | ilo | 100 | 100 | 100 |
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+ | lij | 100 | 100 | 100 |
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+ | mzn | 100 | 100 | 100 |
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+ | qu | 100 | 100 | 100 |
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+ | su | 100 | 100 | 100 |
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+ | vi | 20000 | 10000 | 10000 |
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+ | af | 5000 | 1000 | 1000 |
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+ | bh | 100 | 100 | 100 |
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+ | de | 20000 | 10000 | 10000 |
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+ | fy | 1000 | 1000 | 1000 |
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+ | io | 100 | 100 | 100 |
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+ | lmo | 100 | 100 | 100 |
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+ | nap | 100 | 100 | 100 |
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+ | rm | 100 | 100 | 100 |
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+ | sv | 20000 | 10000 | 10000 |
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+ | vls | 100 | 100 | 100 |
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+ | als | 100 | 100 | 100 |
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+ | bn | 10000 | 1000 | 1000 |
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+ | diq | 100 | 100 | 100 |
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+ | ga | 1000 | 1000 | 1000 |
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+ | is | 1000 | 1000 | 1000 |
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+ | ln | 100 | 100 | 100 |
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+ | nds | 100 | 100 | 100 |
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+ | ro | 20000 | 10000 | 10000 |
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+ | sw | 1000 | 1000 | 1000 |
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+ | vo | 100 | 100 | 100 |
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+ | am | 100 | 100 | 100 |
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+ | bo | 100 | 100 | 100 |
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+ | dv | 100 | 100 | 100 |
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+ | gan | 100 | 100 | 100 |
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+ | it | 20000 | 10000 | 10000 |
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+ | lt | 10000 | 10000 | 10000 |
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+ | ne | 100 | 100 | 100 |
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+ | ru | 20000 | 10000 | 10000 |
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+ | szl | 100 | 100 | 100 |
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+ | wa | 100 | 100 | 100 |
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+ | an | 1000 | 1000 | 1000 |
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+ | br | 1000 | 1000 | 1000 |
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+ | el | 20000 | 10000 | 10000 |
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+ | gd | 100 | 100 | 100 |
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+ | ja | 20000 | 10000 | 10000 |
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+ | lv | 10000 | 10000 | 10000 |
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+ | nl | 20000 | 10000 | 10000 |
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+ | rw | 100 | 100 | 100 |
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+ | ta | 15000 | 1000 | 1000 |
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+ | war | 100 | 100 | 100 |
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+ | ang | 100 | 100 | 100 |
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+ | bs | 15000 | 1000 | 1000 |
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+ | eml | 100 | 100 | 100 |
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+ | gl | 15000 | 10000 | 10000 |
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+ | jbo | 100 | 100 | 100 |
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+ | map-bms | 100 | 100 | 100 |
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+ | nn | 20000 | 1000 | 1000 |
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+ | sa | 100 | 100 | 100 |
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+ | te | 1000 | 1000 | 1000 |
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+ | wuu | 100 | 100 | 100 |
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+ | ar | 20000 | 10000 | 10000 |
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+ | ca | 20000 | 10000 | 10000 |
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+ | en | 20000 | 10000 | 10000 |
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+ | gn | 100 | 100 | 100 |
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+ | jv | 100 | 100 | 100 |
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+ | mg | 100 | 100 | 100 |
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+ | no | 20000 | 10000 | 10000 |
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+ | sah | 100 | 100 | 100 |
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+ | tg | 100 | 100 | 100 |
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+ | xmf | 100 | 100 | 100 |
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+ | arc | 100 | 100 | 100 |
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+ | cbk-zam | 100 | 100 | 100 |
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+ | eo | 15000 | 10000 | 10000 |
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+ | gu | 100 | 100 | 100 |
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+ | ka | 10000 | 10000 | 10000 |
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+ | mhr | 100 | 100 | 100 |
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+ | nov | 100 | 100 | 100 |
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+ | scn | 100 | 100 | 100 |
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+ | th | 20000 | 10000 | 10000 |
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+ | yi | 100 | 100 | 100 |
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+ | arz | 100 | 100 | 100 |
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+ | cdo | 100 | 100 | 100 |
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+ | es | 20000 | 10000 | 10000 |
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+ | hak | 100 | 100 | 100 |
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+ | kk | 1000 | 1000 | 1000 |
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+ | mi | 100 | 100 | 100 |
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+ | oc | 100 | 100 | 100 |
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+ | sco | 100 | 100 | 100 |
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+ | tk | 100 | 100 | 100 |
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+ | yo | 100 | 100 | 100 |
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+ | as | 100 | 100 | 100 |
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+ | ce | 100 | 100 | 100 |
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+ | et | 15000 | 10000 | 10000 |
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+ | he | 20000 | 10000 | 10000 |
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+ | km | 100 | 100 | 100 |
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+ | min | 100 | 100 | 100 |
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+ | or | 100 | 100 | 100 |
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+ | sd | 100 | 100 | 100 |
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+ | tl | 10000 | 1000 | 1000 |
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+ | zea | 100 | 100 | 100 |
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+ | ast | 1000 | 1000 | 1000 |
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+ | ceb | 100 | 100 | 100 |
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+ | eu | 10000 | 10000 | 10000 |
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+ | hi | 5000 | 1000 | 1000 |
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+ | kn | 100 | 100 | 100 |
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+ | mk | 10000 | 1000 | 1000 |
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+ | os | 100 | 100 | 100 |
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+ | sh | 20000 | 10000 | 10000 |
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+ | tr | 20000 | 10000 | 10000 |
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+ | zh-classical | 100 | 100 | 100 |
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+ | ay | 100 | 100 | 100 |
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+ | ckb | 1000 | 1000 | 1000 |
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+ | ext | 100 | 100 | 100 |
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+ | hr | 20000 | 10000 | 10000 |
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+ | ko | 20000 | 10000 | 10000 |
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+ | ml | 10000 | 1000 | 1000 |
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+ | pa | 100 | 100 | 100 |
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+ | si | 100 | 100 | 100 |
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+ | tt | 1000 | 1000 | 1000 |
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+ | zh-min-nan | 100 | 100 | 100 |
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+ | az | 10000 | 1000 | 1000 |
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+ | co | 100 | 100 | 100 |
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+ | fa | 20000 | 10000 | 10000 |
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+ | hsb | 100 | 100 | 100 |
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+ | ksh | 100 | 100 | 100 |
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+ | mn | 100 | 100 | 100 |
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+ | pdc | 100 | 100 | 100 |
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+ | simple | 20000 | 1000 | 1000 |
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+ | ug | 100 | 100 | 100 |
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+ | zh-yue | 20000 | 10000 | 10000 |
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+ | ba | 100 | 100 | 100 |
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+ | crh | 100 | 100 | 100 |
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+ | fi | 20000 | 10000 | 10000 |
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+ | hu | 20000 | 10000 | 10000 |
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+ | ku | 100 | 100 | 100 |
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+ | mr | 5000 | 1000 | 1000 |
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+ | pl | 20000 | 10000 | 10000 |
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+ | sk | 20000 | 10000 | 10000 |
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+ | uk | 20000 | 10000 | 10000 |
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+ | zh | 20000 | 10000 | 10000 |
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+ | bar | 100 | 100 | 100 |
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+ | cs | 20000 | 10000 | 10000 |
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+ | fiu-vro | 100 | 100 | 100 |
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+ | hy | 15000 | 1000 | 1000 |
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+ | ky | 100 | 100 | 100 |
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+ | ms | 20000 | 1000 | 1000 |
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+ | pms | 100 | 100 | 100 |
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+ | sl | 15000 | 10000 | 10000 |
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+ | ur | 20000 | 1000 | 1000 |
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+ | bat-smg | 100 | 100 | 100 |
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+ | csb | 100 | 100 | 100 |
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+ | fo | 100 | 100 | 100 |
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+ | ia | 100 | 100 | 100 |
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+ | la | 5000 | 1000 | 1000 |
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+ | mt | 100 | 100 | 100 |
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+ | pnb | 100 | 100 | 100 |
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+ | so | 100 | 100 | 100 |
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+ | uz | 1000 | 1000 | 1000 |
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+ | be-x-old | 5000 | 1000 | 1000 |
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+ | cv | 100 | 100 | 100 |
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+ | fr | 20000 | 10000 | 10000 |
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+ | id | 20000 | 10000 | 10000 |
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+ | lb | 5000 | 1000 | 1000 |
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+ | mwl | 100 | 100 | 100 |
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+ | ps | 100 | 100 | 100 |
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+ | sq | 5000 | 1000 | 1000 |
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+ | vec | 100 | 100 | 100 |
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+ | be | 15000 | 1000 | 1000 |
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+ | cy | 10000 | 1000 | 1000 |
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+ | frr | 100 | 100 | 100 |
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+ | ig | 100 | 100 | 100 |
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+ | li | 100 | 100 | 100 |
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+ | my | 100 | 100 | 100 |
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+ | pt | 20000 | 10000 | 10000 |
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+ | sr | 20000 | 10000 | 10000 |
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+ | vep | 100 | 100 | 100 |
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  ### Citation Information
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