README.md

metadata

annotations_creators:
  - no-annotation
language_creators:
  - found
language:
  - fil
  - tl
license:
  - gpl-3.0
multilinguality:
  - monolingual
size_categories:
  - 1M<n<10M
source_datasets:
  - original
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling
  - masked-language-modeling
paperswithcode_id: wikitext-tl-39
pretty_name: WikiText-TL-39
dataset_info:
  features:
    - name: text
      dtype: string
  config_name: wikitext-tl-39
  splits:
    - name: test
      num_bytes: 46182996
      num_examples: 376737
    - name: train
      num_bytes: 217182748
      num_examples: 1766072
    - name: validation
      num_bytes: 46256674
      num_examples: 381763
  download_size: 116335234
  dataset_size: 309622418

Dataset Card for WikiText-TL-39

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: Filipino Text Benchmarks
• Repository:
• Paper: Evaluating language model finetuning techniques for low-resource languages
• Leaderboard:
• Point of Contact: Jan Christian Blaise Cruz (jan_christian_cruz@dlsu.edu.ph)

Dataset Summary

Large scale, unlabeled text dataset with 39 Million tokens in the training set. Inspired by the original WikiText Long Term Dependency dataset (Merity et al., 2016). TL means "Tagalog." Published in Cruz & Cheng (2019).

Supported Tasks and Leaderboards

[More Information Needed]

Languages

Filipino/Tagalog

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

• text (str)

The dataset is in plaintext and only has one field ("text") as it is compiled for language modeling.

Data Splits

Split	Documents	Tokens
Train	120,975	39M
Valid	25,919	8M
Test	25,921	8M

Please see the paper for more details on the dataset splits

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Tagalog Wikipedia

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

[More Information Needed]

Contributions

Thanks to @jcblaisecruz02 for adding this dataset.