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Dataset Card for IDK-MRC-NLI
Dataset Summary
The IDKMRC-NLI dataset is derived from the IDK-MRC question answering dataset, utilizing named entity recognition (NER), chunking tags, Regex, and embedding similarity techniques to determine its contradiction sets. Collected through this process, the dataset comprises various columns beyond premise, hypothesis, and label, including properties aligned with NER and chunking tags. This dataset is designed to facilitate Natural Language Inference (NLI) tasks and contains information extracted from diverse sources to provide comprehensive coverage. Each data instance encapsulates premise, hypothesis, label, and additional properties pertinent to NLI evaluation.
Supported Tasks and Leaderboards
- Natural Language Inference for Indonesian
Languages
Indonesian
Dataset Structure
Data Instances
An example of test looks as follows.
{
"premise": "Karangkancana adalah sebuah kecamatan di Kabupaten Kuningan, Provinsi Jawa Barat, Indonesia.",
"hypothesis": "Dimanakah letak Desa Karang kancana? Kabupaten Kuningan, Provinsi Jawa Barat, Indonesia.",
"label": 0
}
Data Fields
The data fields are:
premise: astringfeaturehypothesis: astringfeaturelabel: a classification label, with possible values includingentailment(0),neutral(1),contradiction(2).
Data Splits #TODO
The data is split across train, valid, and test.
| split | # examples |
|---|---|
| train | 18664 |
| valid | 1528 |
| test | 1688 |
Dataset Creation
Curation Rationale
Indonesian NLP is considered under-resourced. We need NLI dataset to fine-tuning the NLI model to utilizing them for QA models in order to improving the performance of the QA's.
Source Data
Initial Data Collection and Normalization
We collect the data from the prominent QA dataset in Indonesian. The annotation fully by the original dataset's researcher.
Who are the source language producers?
This synthetic data was produced by machine, but the original data was produced by human.
Personal and Sensitive Information
There might be some personal information coming from Wikipedia and news, especially the information of famous/important people.
Considerations for Using the Data
Discussion of Biases
The QA dataset (so the NLI-derived from them) is created using premise sentences taken from Wikipedia and news. These data sources may contain some bias.
Other Known Limitations
No other known limitations
Additional Information
Dataset Curators
This dataset is the result of the collaborative work of Indonesian researchers from the University of Indonesia, Mohamed bin Zayed University of Artificial Intelligence, and the Korea Advanced Institute of Science & Technology.
Licensing Information
The license is Unknown. Please contact authors for any information on the dataset.
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