arbml/ArabicTE

ArabicTE数据集主要用于自然语言推理任务，包含前提（Premise）、假设（Hypothesis）和标签（label）三个字段。标签分为两类：0表示NotEntails，1表示Entails。数据集包含一个训练集，共有422个样本，文件大小为153939字节。

The ArabicTE dataset is primarily used for natural language inference tasks, containing three main fields: Premise, Hypothesis, and label. The labels are divided into two categories: 0 for NotEntails and 1 for Entails. The dataset includes a training set with 422 samples and a file size of 153939 bytes.

原始信息汇总

Dataset Card for ArabicTE

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

• Premise: string
• Hypothesis: string
• label:
  • class_label:
    • names:
      • 0: NotEntails
      • 1: Entails

Data Splits

• train:
  • num_bytes: 153939
  • num_examples: 422

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

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Additional Information

Dataset Curators

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Licensing Information

[More Information Needed]

Citation Information

@article{Alabbas_2013, title={Natural Language Inference for Arabic Using Extended Tree Edit Distance with Subtrees}, volume={48}, ISSN={1076-9757}, url={http://dx.doi.org/10.1613/jair.3892}, DOI={10.1613/jair.3892}, journal={Journal of Artificial Intelligence Research}, publisher={AI Access Foundation}, author={Alabbas, M. and Ramsay, A.}, year={2013}, month=oct, pages={1–22} }

Contributions

Thanks to @github-username for adding this dataset.