amttl / README.md
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metadata
annotations_creators:
  - crowdsourced
language_creators:
  - found
language:
  - zh
license:
  - mit
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - token-classification
task_ids:
  - parsing
pretty_name: AMTTL
dataset_info:
  config_name: amttl
  features:
    - name: id
      dtype: string
    - name: tokens
      sequence: string
    - name: tags
      sequence:
        class_label:
          names:
            '0': B
            '1': I
            '2': E
            '3': S
  splits:
    - name: train
      num_bytes: 1132196
      num_examples: 3063
    - name: validation
      num_bytes: 324358
      num_examples: 822
    - name: test
      num_bytes: 328509
      num_examples: 908
  download_size: 274351
  dataset_size: 1785063
configs:
  - config_name: amttl
    data_files:
      - split: train
        path: amttl/train-*
      - split: validation
        path: amttl/validation-*
      - split: test
        path: amttl/test-*
    default: true

Dataset Card for AMTTL

Table of Contents

Dataset Description

Dataset Summary

[More Information Needed]

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

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

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

@inproceedings{xing2018adaptive,
  title={Adaptive multi-task transfer learning for Chinese word segmentation in medical text},
  author={Xing, Junjie and Zhu, Kenny and Zhang, Shaodian},
  booktitle={Proceedings of the 27th International Conference on Computational Linguistics},
  pages={3619--3630},
  year={2018}
}

Contributions

Thanks to @JetRunner for adding this dataset.