---
dataset_info:
  features:
  - name: id
    dtype: string
  - name: tokens
    sequence: string
  - name: ner_tags
    sequence:
      class_label:
        names:
          '0': O
          '1': B-academicjournal
          '2': I-academicjournal
          '3': B-album
          '4': I-album
          '5': B-algorithm
          '6': I-algorithm
          '7': B-astronomicalobject
          '8': I-astronomicalobject
          '9': B-award
          '10': I-award
          '11': B-band
          '12': I-band
          '13': B-book
          '14': I-book
          '15': B-chemicalcompound
          '16': I-chemicalcompound
          '17': B-chemicalelement
          '18': I-chemicalelement
          '19': B-conference
          '20': I-conference
          '21': B-country
          '22': I-country
          '23': B-discipline
          '24': I-discipline
          '25': B-election
          '26': I-election
          '27': B-enzyme
          '28': I-enzyme
          '29': B-event
          '30': I-event
          '31': B-field
          '32': I-field
          '33': B-literarygenre
          '34': I-literarygenre
          '35': B-location
          '36': I-location
          '37': B-magazine
          '38': I-magazine
          '39': B-metrics
          '40': I-metrics
          '41': B-misc
          '42': I-misc
          '43': B-musicalartist
          '44': I-musicalartist
          '45': B-musicalinstrument
          '46': I-musicalinstrument
          '47': B-musicgenre
          '48': I-musicgenre
          '49': B-organisation
          '50': I-organisation
          '51': B-person
          '52': I-person
          '53': B-poem
          '54': I-poem
          '55': B-politicalparty
          '56': I-politicalparty
          '57': B-politician
          '58': I-politician
          '59': B-product
          '60': I-product
          '61': B-programlang
          '62': I-programlang
          '63': B-protein
          '64': I-protein
          '65': B-researcher
          '66': I-researcher
          '67': B-scientist
          '68': I-scientist
          '69': B-song
          '70': I-song
          '71': B-task
          '72': I-task
          '73': B-theory
          '74': I-theory
          '75': B-university
          '76': I-university
          '77': B-writer
          '78': I-writer
  splits:
  - name: train
    num_bytes: 6995502.064669556
    num_examples: 20856
  - name: test
    num_bytes: 1749210.9353304438
    num_examples: 5215
  download_size: 2609946
  dataset_size: 8744713.0
---
# Dataset Card for "Cross_ner"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)