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Datasets:
pig4431
/
HeQ_v1

Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
Hebrew
Size:
10K - 100K
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
HeQ_v1
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---
license: cc-by-4.0
task_categories:
- question-answering
language:
- he
size_categories:
- 1K<n<10K
---

# Dataset Card for HeQ_v1

## Dataset Description

- **Homepage:** [HeQ - Hebrew Question Answering Dataset](https://github.com/NNLP-IL/Hebrew-Question-Answering-Dataset)
- **Repository:** [GitHub Repository](https://github.com/NNLP-IL/Hebrew-Question-Answering-Dataset)
- **Paper:** [HeQ: A Dataset for Hebrew Question Answering](https://u.cs.biu.ac.il/~yogo/heq.pdf)
- **Leaderboard:** N/A

### Dataset Summary

HeQ is a question answering dataset in Modern Hebrew, consisting of 30,147 questions. It follows the format and crowdsourcing methodology of SQuAD and ParaShoot, with paragraphs sourced from Hebrew Wikipedia and Geektime.

### Supported Tasks and Leaderboards

- **Task:** Question Answering

### Languages

- Hebrew (he)

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

- **ID:** `string`
- **Title:** `string`
- **Source:** `string`
- **Context:** `string`
- **Question:** `string`
- **Answers:** `string`
- **Is_Impossible:** `bool`
- **WH_Question:** `string`
- **Question_Quality:** `string`

### Data Splits

- **Train:** 27,142 examples
- **Test:** 1,504 examples
- **Validation:** 1,501 examples

## Dataset Creation

### Curation Rationale

The dataset was created to provide a resource for question answering research in Hebrew.

### Source Data

#### Initial Data Collection and Normalization

Paragraphs were sourced from Hebrew Wikipedia and Geektime.

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

A team of crowdworkers formulated and answered reading comprehension questions.

#### Who are the annotators?

crowdsourced

### 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

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

License: cc-by-4.0

### Citation Information

[More Information Needed]

### Contributions

Contributions and additional information are welcome.