Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
Hebrew
Size:
10K - 100K
License:
| 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. |