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