lapa-llm/impossible-questions

---
dataset_info:
features:
- name: id
dtype: int64
- name: question
dtype: string
- name: category
dtype: string
- name: explanation
dtype: string
- name: correct_answer
dtype: string
- name: conversations
list:
- name: from
dtype: string
- name: value
dtype: string
splits:
- name: train
num_bytes: 55935
num_examples: 135
download_size: 26382
dataset_size: 55935
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: mit
---

# Dataset Card for Impossible Questions

## Dataset Description

**Dataset Summary**

This dataset is a compilation of the questions, that can't be answered from the question text. It is intended to have negative answer from the model. Besides, each entry contains explanation of the answer. Here is an example of one entry:

```
>> Повзе 4 равлики, біля них 5 дітей. Скільки у них загалом дядьків?
Неможливо визначити
```

The goal of this dataset is to teach the model to recognize when there is no correct answer in the text of the question, and to teach the model to answer correctly in such cases.

<!--[Provide a brief overview of your dataset - what it contains, its purpose, and why it was created. Example: "This dataset contains X examples of Ukrainian text collected from Y sources, designed to support the development of Ukrainian language models."] -->

**Languages**

- Ukrainian (uk)

<!-- **Dataset Structure** -->

<!-- The dataset is organized into the following splits:

| Split | Examples |
|-------|----------|
| Train | [number] |
| Validation | [number] |
| Test | [number] | -->

**Data Fields**

- `question`: The unanswerable question text posed to the model
- `category`: Classification or type of unanswerable question
- `explanation`: Explanation of why the question cannot be answered from the given information
- `correct_answer`: The appropriate response indicating the question is unanswerable
- `conversations`: Dialog version of the dataset for LLM training

<!-- ## Dataset Creation

**Source Data**

Preprocessed data comes from https://huggingface.co/datasets/omarkamali/wikipedia-monthly, latest.uk split. -->

<!-- **Data Collection Process**

[Explain how the data was collected and any processing steps applied]

<!-- **Annotations**

[If applicable, describe any annotation process, who annotated, annotation guidelines, etc.] -->

## Considerations for Using the Data

**Social Impact**

This dataset was created to support Ukrainian language AI development and improve language technology accessibility for Ukrainian speakers.

<!-- **Bias and Limitations**

[Discuss any known biases, limitations, or potential issues with the dataset. Be transparent about what the dataset may not be suitable for.] -->

**Recommendations**

You can use this dataset for the following purposes:

- Question answering

## Citation

TBD

<!--
**BibTeX**

```bibtex
@dataset{dataset_name,
author = {[Your Name/Organization]},
title = {[Dataset Name]},
year = {2025},
publisher = {HuggingFace},
url = {https://huggingface.co/datasets/[your-org]/[dataset-name]}
}
```
-->

## Contact

<!-- For questions or feedback, please contact [your contact information] or open an issue on the dataset repository. -->

For questions or feedback, please open an issue on the dataset repository.

## License

MIT License

---

*This dataset is part of the "Lapa" - Ukrainian LLM initiative to advance natural language processing for the Ukrainian language.*