license:openrail size_categories:10K<n<100K format:csv modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
license: openrail
---

You can download this Dataset just like this:

```
data_files = {"train": "data_nli_train_ner_df.csv", 
              "validation": "data_nli_val_ner_df.csv", 
              "test": "data_nli_test_ner_df.csv"}

dataset = load_dataset("muhammadravi251001/idk_mrc_nli_ner", data_files=data_files)
```

This is some modification from IDK-MRC dataset to IDK-MRC-NLI dataset. By convert QAS dataset to NLI dataset. You can find the original IDK-MRC in this link: https://huggingface.co/datasets/rifkiaputri/idk-mrc.

### Citation Information

```bibtex
@inproceedings{putri-oh-2022-idk,
    title = "{IDK}-{MRC}: Unanswerable Questions for {I}ndonesian Machine Reading Comprehension",
    author = "Putri, Rifki Afina  and
      Oh, Alice",
    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.emnlp-main.465",
    pages = "6918--6933",
}
```