metadata

language:
  - kk
license: cc-by-4.0
multilinguality:
  - monolingual
size_categories:
  - 100K<n<1M
task_categories:
  - token-classification
task_ids:
  - named-entity-recognition
paperswithcode_id: kaznerd
pretty_name: A Named Entity Recognition Dataset for Kazakh
viewer: true
dataset_info:
  config_name: ner_kazakh
  features:
    - name: index
      dtype: string
    - name: sentence_id
      dtype: string
    - name: tokens
      sequence: string
    - name: ner_tags
      sequence:
        class_label:
          names:
            '0': O
            '1': B-ADAGE
            '2': I-ADAGE
            '3': B-ART
            '4': I-ART
            '5': B-CARDINAL
            '6': I-CARDINAL
            '7': B-CONTACT
            '8': I-CONTACT
            '9': B-DATE
            '10': I-DATE
            '11': B-DISEASE
            '12': I-DISEASE
            '13': B-EVENT
            '14': I-EVENT
            '15': B-FACILITY
            '16': I-FACILITY
            '17': B-GPE
            '18': I-GPE
            '19': B-LANGUAGE
            '20': I-LANGUAGE
            '21': B-LAW
            '22': I-LAW
            '23': B-LOCATION
            '24': I-LOCATION
            '25': B-MISCELLANEOUS
            '26': I-MISCELLANEOUS
            '27': B-MONEY
            '28': I-MONEY
            '29': B-NON_HUMAN
            '30': I-NON_HUMAN
            '31': B-NORP
            '32': I-NORP
            '33': B-ORDINAL
            '34': I-ORDINAL
            '35': B-ORGANISATION
            '36': I-ORGANISATION
            '37': B-PERSON
            '38': I-PERSON
            '39': B-PERCENTAGE
            '40': I-PERCENTAGE
            '41': B-POSITION
            '42': I-POSITION
            '43': B-PRODUCT
            '44': I-PRODUCT
            '45': B-PROJECT
            '46': I-PROJECT
            '47': B-QUANTITY
            '48': I-QUANTITY
            '49': B-TIME
            '50': I-TIME
  splits:
    - name: train
      num_bytes: 26219395
      num_examples: 88540
    - name: validation
      num_bytes: 3268409
      num_examples: 11067
    - name: test
      num_bytes: 3252196
      num_examples: 11068
  download_size: 9016377
  dataset_size: 32740000
configs:
  - config_name: ner_kazakh
    data_files:
      - split: train
        path: ner_kazakh/train-*
      - split: validation
        path: ner_kazakh/validation-*
      - split: test
        path: ner_kazakh/test-*

A Named Entity Recognition Dataset for Kazakh

This is a modified version of the dataset provided in the LREC 2022 paper KazNERD: Kazakh Named Entity Recognition Dataset.
The original repository for the paper can be found at https://github.com/IS2AI/KazNERD.
Tokens denoting speech disfluencies and hesitations (parenthesised) and background noise [bracketed] were removed.
A total of 2,027 duplicate sentences were removed.

Dataset Description

Homepage: homepage
Repository: github
Paper: paper
Point of Contact: Rustem Yeshpanov

Statistics for training (Train), validation (Valid), and test (Test) sets

Unit	Train	Valid	Test	Total
Sentence	88,540 (80.00%)	11,067 (10.00%)	11,068 (10.00%)	110,675 (100%)
Token	1,088,461 (80.04%)	136,021 (10.00%)	135,426 (9.96%)	1,359,908 (100%)
NE	106,148 (80.17%)	13,189 (9.96%)	13,072 (9.87%)	132,409 (100%)

80 / 10 / 10 split

Representation	Train	Valid	Test	Total
AID	67,582 (79.99%)	8,439 (9.99%)	8,467 (10.02%)	84,488 (100%)
BID	19,006 (80.11%)	2,380 (10.03%)	2,338 (9.85%)	23,724 (100%)
CID	1,050 (78.89%)	138 (10.37%)	143 ( 10.74%)	1,331 (100%)
DID	633 (79.22%)	82 (10.26%)	84 (10.51%)	799 (100%)
EID	260 (81.00%)	27 (8.41%)	34 (10.59%)	321 (100%)
FID	9 (75.00%)	1 (8.33%)	2 (16.67%)	12 (100%)
Total	88,540 (80.00%)	11,067 (10.00%)	11,068 (10.00%)	110,675 (100%)

Distribution of representations across sets

Representation	Train	Valid	Test	Total
AID	67,582 (76.33%)	8,439 (76.25%)	8,467 (76.50%)	84,488 (76.34%)
BID	19,006 (21.47%)	2,380 (21.51%)	2,338 (21.12%)	23,724 (21.44%)
CID	1,050 (1.19%)	138 (1.25%)	143 ( 1.29%)	1,331 (1.20%)
DID	633 (0.71%)	82 (0.74%)	84 (0.76%)	799 (0.72%)
EID	260 (0.29%)	27 (0.24%)	34 (0.31%)	321 (0.29%)
FID	9 (0.01%)	1 (0.01%)	2 (0.02%)	12 (0.01%)
Total	88,540 (100.00%)	11,067 (10.00%)	11,068 (10.00%)	110,675 (100%)

Distribution of NEs across sets

NE Class	Train	Valid	Test	Total
ADAGE	153 (0.14%)	19 (0.14%)	17 (0.13%)	189 (0.14%)
ART	1,533 (1.44%)	155 (1.18%)	161 (1.23%)	1,849 (1.40%)
CARDINAL	23,135 (21.8%)	2,878 (21.82%)	2,789 (21.34%)	28,802 (21.75%)
CONTACT	159 (0.15%)	18 (0.14%)	20 (0.15%)	197 (0.15%)
DATE	20,006 (18.85%)	2,603 (19.74%)	2,584 (19.77%)	25,193 (19.03%)
DISEASE	1,022 (0.96%)	121 (0.92%)	119 (0.91%)	1,262 (0.95%)
EVENT	1,331 (1.25%)	154 (1.17%)	154 (1.18%)	1,639 (1.24%)
FACILITY	1,723 (1.62%)	178 (1.35%)	197 (1.51%)	2,098 (1.58%)
GPE	13,625 (12.84%)	1,656 (12.56%)	1,691 (12.94%)	16,972 (12.82%)
LANGUAGE	350 (0.33%)	47 (0.36%)	41 (0.31%)	438 (0.33%)
LAW	419 (0.39%)	56 (0.42%)	55 (0.42%)	530 (0.40%)
LOCATION	1,736 (1.64%)	210 (1.59%)	208 (1.59%)	2,154 (1.63%)
MISCELLANEOUS	191 (0.18%)	26 (0.2%)	26 (0.2%)	243 (0.18%)
MONEY	3,652 (3.44%)	455 (3.45%)	427 (3.27%)	4,534 (3.42%)
NON_HUMAN	6 (0.01%)	1 (0.01%)	1 (0.01%)	8 (0.01%)
NORP	2,929 (2.76%)	374 (2.84%)	368 (2.82%)	3,671 (2.77%)
ORDINAL	3,054 (2.88%)	385 (2.92%)	382 (2.92%)	3,821 (2.89%)
ORGANISATION	5,956 (5.61%)	753 (5.71%)	718 (5.49%)	7,427 (5.61%)
PERCENTAGE	3,357 (3.16%)	437 (3.31%)	462 (3.53%)	4,256 (3.21%)
PERSON	9,817 (9.25%)	1,175 (8.91%)	1,151 (8.81%)	12,143 (9.17%)
POSITION	4,844 (4.56%)	587 (4.45%)	597 (4.57%)	6,028 (4.55%)
PRODUCT	586 (0.55%)	73 (0.55%)	75 (0.57%)	734 (0.55%)
PROJECT	1,681 (1.58%)	209 (1.58%)	206 (1.58%)	2,096 (1.58%)
QUANTITY	3,063 (2.89%)	411 (3.12%)	403 (3.08%)	3,877 (2.93%)
TIME	1,820 (1.71%)	208 (1.58%)	220 (1.68%)	2,248 (1.70%)
Total	106,148 (100%)	13,189 (100%)	13,072 (100%)	132,409 (100%)