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Datasets:
nchlt

Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
Afrikaans
Southern Ndebele
Pedi
Multilinguality:
multilingual
Size Categories:
1K<n<10K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
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metadata
annotations_creators:
  - expert-generated
language_creators:
  - expert-generated
language:
  - af
  - nr
  - nso
  - ss
  - tn
  - ts
  - ve
  - xh
  - zu
license:
  - cc-by-2.5
multilinguality:
  - multilingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - token-classification
task_ids:
  - named-entity-recognition
pretty_name: NCHLT
dataset_info:
  - config_name: af
    features:
      - name: tokens
        sequence: string
      - name: ner_tags
        sequence:
          class_label:
            names:
              '0': OUT
              '1': B-PERS
              '2': I-PERS
              '3': B-ORG
              '4': I-ORG
              '5': B-LOC
              '6': I-LOC
              '7': B-MISC
              '8': I-MISC
    splits:
      - name: train
        num_bytes: 3955069
        num_examples: 8961
    download_size: 25748344
    dataset_size: 3955069
  - config_name: nr
    features:
      - name: tokens
        sequence: string
      - name: ner_tags
        sequence:
          class_label:
            names:
              '0': OUT
              '1': B-PERS
              '2': I-PERS
              '3': B-ORG
              '4': I-ORG
              '5': B-LOC
              '6': I-LOC
              '7': B-MISC
              '8': I-MISC
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      - name: train
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    dataset_size: 3188781
  - config_name: xh
    features:
      - name: tokens
        sequence: string
      - name: ner_tags
        sequence:
          class_label:
            names:
              '0': OUT
              '1': B-PERS
              '2': I-PERS
              '3': B-ORG
              '4': I-ORG
              '5': B-LOC
              '6': I-LOC
              '7': B-MISC
              '8': I-MISC
    splits:
      - name: train
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  - config_name: zu
    features:
      - name: tokens
        sequence: string
      - name: ner_tags
        sequence:
          class_label:
            names:
              '0': OUT
              '1': B-PERS
              '2': I-PERS
              '3': B-ORG
              '4': I-ORG
              '5': B-LOC
              '6': I-LOC
              '7': B-MISC
              '8': I-MISC
    splits:
      - name: train
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  - config_name: nso-sepedi
    features:
      - name: tokens
        sequence: string
      - name: ner_tags
        sequence:
          class_label:
            names:
              '0': OUT
              '1': B-PERS
              '2': I-PERS
              '3': B-ORG
              '4': I-ORG
              '5': B-LOC
              '6': I-LOC
              '7': B-MISC
              '8': I-MISC
    splits:
      - name: train
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        num_examples: 7116
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  - config_name: nso-sesotho
    features:
      - name: tokens
        sequence: string
      - name: ner_tags
        sequence:
          class_label:
            names:
              '0': OUT
              '1': B-PERS
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              '3': B-ORG
              '4': I-ORG
              '5': B-LOC
              '6': I-LOC
              '7': B-MISC
              '8': I-MISC
    splits:
      - name: train
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  - config_name: tn
    features:
      - name: tokens
        sequence: string
      - name: ner_tags
        sequence:
          class_label:
            names:
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              '1': B-PERS
              '2': I-PERS
              '3': B-ORG
              '4': I-ORG
              '5': B-LOC
              '6': I-LOC
              '7': B-MISC
              '8': I-MISC
    splits:
      - name: train
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  - config_name: ss
    features:
      - name: tokens
        sequence: string
      - name: ner_tags
        sequence:
          class_label:
            names:
              '0': OUT
              '1': B-PERS
              '2': I-PERS
              '3': B-ORG
              '4': I-ORG
              '5': B-LOC
              '6': I-LOC
              '7': B-MISC
              '8': I-MISC
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  - config_name: ve
    features:
      - name: tokens
        sequence: string
      - name: ner_tags
        sequence:
          class_label:
            names:
              '0': OUT
              '1': B-PERS
              '2': I-PERS
              '3': B-ORG
              '4': I-ORG
              '5': B-LOC
              '6': I-LOC
              '7': B-MISC
              '8': I-MISC
    splits:
      - name: train
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        num_examples: 8477
    download_size: 26382457
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  - config_name: ts
    features:
      - name: tokens
        sequence: string
      - name: ner_tags
        sequence:
          class_label:
            names:
              '0': OUT
              '1': B-PERS
              '2': I-PERS
              '3': B-ORG
              '4': I-ORG
              '5': B-LOC
              '6': I-LOC
              '7': B-MISC
              '8': I-MISC
    splits:
      - name: train
        num_bytes: 3941041
        num_examples: 8477
    download_size: 26382457
    dataset_size: 3941041

Dataset Card for NCHLT

Table of Contents

Dataset Description

  • Homepage: link
  • Repository:
  • Paper:
  • Leaderboard:
  • Point of Contact:

Dataset Summary

The development of linguistic resources for use in natural language processingis of utmost importance for the continued growth of research anddevelopment in the field, especially for resource-scarce languages. In this paper we describe the process and challenges of simultaneouslydevelopingmultiple linguistic resources for ten of the official languages of South Africa. The project focussed on establishing a set of foundational resources that can foster further development of both resources and technologies for the NLP industry in South Africa. The development efforts during the project included creating monolingual unannotated corpora, of which a subset of the corpora for each language was annotated on token, orthographic, morphological and morphosyntactic layers. The annotated subsetsincludes both development and test setsand were used in the creation of five core-technologies, viz. atokeniser, sentenciser,lemmatiser, part of speech tagger and morphological decomposer for each language. We report on the quality of these tools for each language and provide some more context of the importance of the resources within the South African context.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

[More Information Needed]

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

[More Information Needed]

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

[More Information Needed]

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

Martin.Puttkammer@nwu.ac.za

Licensing Information

[More Information Needed]

Citation Information 

@inproceedings{eiselen2014developing,
  title={Developing Text Resources for Ten South African Languages.},
  author={Eiselen, Roald and Puttkammer, Martin J},
  booktitle={LREC},
  pages={3698--3703},
  year={2014}
}

Contributions

Thanks to @Narsil for adding this dataset.