metadata

license: odc-by
task_categories:
  - text-classification
language:
  - tl
tags:
  - reviews
  - shopee
size_categories:
  - 10K<n<100K
dataset_info:
  features:
    - name: text
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': negative
            '1': positive

Dataset Card for Dataset Name

Dataset Description

Homepage:
Repository:
Paper: Enhancement to Low Resource Text Classification via Sequential Transfer Learning
Leaderboard:
Point of Contact: Neil Riego

Dataset Summary

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

A typical data point, comprises of a text and the corresponding label.

An example from the YelpReviewFull test set looks as follows:

{
    'label': pos,
    'text': 'Huyyy ang gandaaaaaaaaaaa. Grabe sobrang ganda talaga wala ako masabi. Complete orders pa pinadala sa akin. Buti hindi nabasag kahit walang bubble wrap. Okay na lang din para save mother earth and at least hindi nabasag hehe. Oorder ulit ako ang ganda eh'
}

Data Fields

'text': The review texts are escaped using double quotes ("), and any internal double quote is escaped by 2 double quotes ("").
'label': Corresponds to the score associated with the review (between positive and negative).

Data Splits

The Shopee reviews tl binary dataset is constructed by randomly taking 14000 training samples and 3000 samples for testing and validation for each review star from neg and pos. In total there are 28000 training samples and 6000 each in validation and testing samples.

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

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Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

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Licensing Information

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Citation Information

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Contributions

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