Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
named-entity-recognition
Languages:
Kazakh
Size:
100K - 1M
License:
| 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](https://lrec2022.lrec-conf.org/en/) paper [*KazNERD: Kazakh Named Entity Recognition Dataset*](https://aclanthology.org/2022.lrec-1.44). | |
| - 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](https://issai.nu.edu.kz/kaznerd-eng/) | |
| - **Repository:** [github](https://github.com/IS2AI/KazNERD) | |
| - **Paper:** [paper](https://aclanthology.org/2022.lrec-1.44) | |
| - **Point of Contact:** [Rustem Yeshpanov]([email protected]) | |
| ### 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%)** | |