region:us
Ebiquity V2 (stemmed) dataset for Nepali NER task. The dataset is tagged with BIO scheme.
@INPROCEEDINGS{
  8998477,
  author={O. M. {Singh} and A. {Padia} and A. {Joshi}},
  booktitle={2019 IEEE 5th International Conference on Collaboration and Internet Computing (CIC)},
  title={Named Entity Recognition for Nepali Language},
  year={2019},
  volume={},
  number={},
  pages={184-190},
  keywords={Named Entity Recognition;Nepali;Low-resource;BiLSTM;CNN;Grapheme},
  doi={10.1109/CIC48465.2019.00031},
  ISSN={null},
  month={Dec},}
---
dataset_info:
  features:
  - name: id
    dtype: string
  - 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
          '7': B-MISC
          '8': I-MISC
  config_name: ebiquity-v2-stemmed
  splits:
  - name: train
    num_bytes: 2192488
    num_examples: 3289
  download_size: 1414009
  dataset_size: 2192488
---
