
# Dataset Card for PersiNLU (Reading Comprehension)

## Table of Contents
- [Dataset Card for PersiNLU (Reading Comprehension)](#dataset-card-for-persi_nlu_reading_comprehension)
  - [Table of Contents](#table-of-contents)
  - [Dataset Description](#dataset-description)
    - [Dataset Summary](#dataset-summary)
    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
    - [Languages](#languages)
  - [Dataset Structure](#dataset-structure)
    - [Data Instances](#data-instances)
    - [Data Fields](#data-fields)
    - [Data Splits](#data-splits)
  - [Dataset Creation](#dataset-creation)
    - [Curation Rationale](#curation-rationale)
    - [Source Data](#source-data)
      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
      - [Who are the source language producers?](#who-are-the-source-language-producers)
    - [Annotations](#annotations)
      - [Annotation process](#annotation-process)
      - [Who are the annotators?](#who-are-the-annotators)
    - [Personal and Sensitive Information](#personal-and-sensitive-information)
  - [Considerations for Using the Data](#considerations-for-using-the-data)
    - [Social Impact of Dataset](#social-impact-of-dataset)
    - [Discussion of Biases](#discussion-of-biases)
    - [Other Known Limitations](#other-known-limitations)
  - [Additional Information](#additional-information)
    - [Dataset Curators](#dataset-curators)
    - [Licensing Information](#licensing-information)
    - [Citation Information](#citation-information)
    - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [Github](https://github.com/persiannlp/parsinlu/)
- **Repository:** [Github](https://github.com/persiannlp/parsinlu/)
- **Paper:** [Arxiv](https://arxiv.org/abs/2012.06154)
- **Leaderboard:** 
- **Point of Contact:** d.khashabi@gmail.com

### Dataset Summary

A Persian reading comprehenion task (generating an answer, given a question and a context paragraph). 
The questions are mined using Google auto-complete, their answers and the corresponding evidence documents are manually annotated by native speakers. 

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

The text dataset is in Persian (`fa`).

## Dataset Structure

### Data Instances

Here is an example from the dataset: 
```
{
    'question': 'پیامبر در چه سالی به پیامبری رسید؟', 
    'url': 'https://fa.wikipedia.org/wiki/%D9%85%D8%AD%D9%85%D8%AF', 
    'passage': 'محمد که از روش زندگی مردم مکه ناخشنود بود، گهگاه در غار حرا در یکی از کوه\u200cهای اطراف آن دیار به تفکر و عبادت می\u200cپرداخت. به باور مسلمانان، محمد در همین مکان و در حدود ۴۰ سالگی از طرف خدا به پیامبری برگزیده، و وحی بر او فروفرستاده شد. در نظر آنان، دعوت محمد همانند دعوت دیگر پیامبرانِ کیش یکتاپرستی مبنی بر این بود که خداوند (الله) یکتاست و تسلیم شدن برابر خدا راه رسیدن به اوست.', 
    'answers': [
        {'answer_start': 160, 'answer_text': 'حدود ۴۰ سالگی'}
     ]
}
```

### Data Fields

- `question`: the question, mined using Google auto-complete. 
- `passage`: the passage that contains the answer. 
- `url`: the url from which the passage was mined. 
- `answers`: a list of answers, containing the string and the index of the answer.  

### Data Splits

The train/test split contains 600/575 samples.

## Dataset Creation

### Curation Rationale

The question were collected via Google auto-complete.
The answers were annotated by native speakers. 
For more details, check [the corresponding draft](https://arxiv.org/abs/2012.06154).

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### 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

CC BY-NC-SA 4.0 License 

### Citation Information
```bibtex 
@article{huggingface:dataset,
    title = {ParsiNLU: A Suite of Language Understanding Challenges for Persian},
    authors = {Khashabi, Daniel and Cohan, Arman and Shakeri, Siamak and Hosseini, Pedram and Pezeshkpour, Pouya and Alikhani, Malihe and Aminnaseri, Moin and Bitaab, Marzieh and Brahman, Faeze and Ghazarian, Sarik and others},
    year={2020}
    journal = {arXiv e-prints},
    eprint = {2012.06154},    
}
```

### Contributions

Thanks to [@danyaljj](https://github.com/danyaljj) for adding this dataset.

task_categories:question-answering task_ids:extractive-qa annotations_creators:expert-generated language_creators:expert-generated multilinguality:monolingual size_categories:1K<n<10K source_datasets:extended|wikipedia|google language:fa license:cc-by-nc-sa-4.0 arxiv:2012.06154 region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["fa"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended|wikipedia|google"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa"]}
TAGS
#task_categories-question-answering #task_ids-extractive-qa #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-extended|wikipedia|google #language-Persian #license-cc-by-nc-sa-4.0 #arxiv-2012.06154 #region-us 


# Dataset Card for PersiNLU (Reading Comprehension)

## Table of Contents
- Dataset Card for PersiNLU (Reading Comprehension)
  - Table of Contents
  - Dataset Description
    - Dataset Summary
    - Supported Tasks and Leaderboards
    - Languages
  - Dataset Structure
    - Data Instances
    - Data Fields
    - Data Splits
  - Dataset Creation
    - Curation Rationale
    - Source Data
      - Initial Data Collection and Normalization
      - Who are the source language producers?
    - Annotations
      - Annotation process
      - Who are the annotators?
    - Personal and Sensitive Information
  - Considerations for Using the Data
    - Social Impact of Dataset
    - Discussion of Biases
    - Other Known Limitations
  - Additional Information
    - Dataset Curators
    - Licensing Information
    - Citation Information
    - Contributions

## Dataset Description

- Homepage: Github
- Repository: Github
- Paper: Arxiv
- Leaderboard: 
- Point of Contact: d.khashabi@URL

### Dataset Summary

A Persian reading comprehenion task (generating an answer, given a question and a context paragraph). 
The questions are mined using Google auto-complete, their answers and the corresponding evidence documents are manually annotated by native speakers. 

### Supported Tasks and Leaderboards



### Languages

The text dataset is in Persian ('fa').

## Dataset Structure

### Data Instances

Here is an example from the dataset: 


### Data Fields

- 'question': the question, mined using Google auto-complete. 
- 'passage': the passage that contains the answer. 
- 'url': the url from which the passage was mined. 
- 'answers': a list of answers, containing the string and the index of the answer.  

### Data Splits

The train/test split contains 600/575 samples.

## Dataset Creation

### Curation Rationale

The question were collected via Google auto-complete.
The answers were annotated by native speakers. 
For more details, check the corresponding draft.

### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?



### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing Information

CC BY-NC-SA 4.0 License 




### Contributions

Thanks to @danyaljj for adding this dataset.

# Dataset Card for PersiNLU (Reading Comprehension) ## Table of Contents
- Dataset Card for PersiNLU (Reading Comprehension)
  - Table of Contents
  - Dataset Description
    - Dataset Summary
    - Supported Tasks and Leaderboards
    - Languages
  - Dataset Structure
    - Data Instances
    - Data Fields
    - Data Splits
  - Dataset Creation
    - Curation Rationale
    - Source Data
      - Initial Data Collection and Normalization
      - Who are the source language producers?
    - Annotations
      - Annotation process
      - Who are the annotators?
    - Personal and Sensitive Information
  - Considerations for Using the Data
    - Social Impact of Dataset
    - Discussion of Biases
    - Other Known Limitations
  - Additional Information
    - Dataset Curators
    - Licensing Information
    - Citation Information
    - Contributions ## Dataset Description

- Homepage: Github
- Repository: Github
- Paper: Arxiv
- Leaderboard: 
- Point of Contact: d.khashabi@URL ### Dataset Summary

A Persian reading comprehenion task (generating an answer, given a question and a context paragraph). 
The questions are mined using Google auto-complete, their answers and the corresponding evidence documents are manually annotated by native speakers. ### Supported Tasks and Leaderboards ### Languages

The text dataset is in Persian ('fa'). ## Dataset Structure ### Data Instances

Here is an example from the dataset: ### Data Fields

- 'question': the question, mined using Google auto-complete. 
- 'passage': the passage that contains the answer. 
- 'url': the url from which the passage was mined. 
- 'answers': a list of answers, containing the string and the index of the answer. ### Data Splits

The train/test split contains 600/575 samples. ## Dataset Creation ### Curation Rationale

The question were collected via Google auto-complete.
The answers were annotated by native speakers. 
For more details, check the corresponding draft. ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information

CC BY-NC-SA 4.0 License ### Contributions

Thanks to @danyaljj for adding this dataset.
TAGS
#task_categories-question-answering #task_ids-extractive-qa #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-extended|wikipedia|google #language-Persian #license-cc-by-nc-sa-4.0 #arxiv-2012.06154 #region-us 
 # Dataset Card for PersiNLU (Reading Comprehension) ## Table of Contents
- Dataset Card for PersiNLU (Reading Comprehension)
  - Table of Contents
  - Dataset Description
    - Dataset Summary
    - Supported Tasks and Leaderboards
    - Languages
  - Dataset Structure
    - Data Instances
    - Data Fields
    - Data Splits
  - Dataset Creation
    - Curation Rationale
    - Source Data
      - Initial Data Collection and Normalization
      - Who are the source language producers?
    - Annotations
      - Annotation process
      - Who are the annotators?
    - Personal and Sensitive Information
  - Considerations for Using the Data
    - Social Impact of Dataset
    - Discussion of Biases
    - Other Known Limitations
  - Additional Information
    - Dataset Curators
    - Licensing Information
    - Citation Information
    - Contributions ## Dataset Description

- Homepage: Github
- Repository: Github
- Paper: Arxiv
- Leaderboard: 
- Point of Contact: d.khashabi@URL ### Dataset Summary

A Persian reading comprehenion task (generating an answer, given a question and a context paragraph). 
The questions are mined using Google auto-complete, their answers and the corresponding evidence documents are manually annotated by native speakers. ### Supported Tasks and Leaderboards ### Languages

The text dataset is in Persian ('fa'). ## Dataset Structure ### Data Instances

Here is an example from the dataset: ### Data Fields

- 'question': the question, mined using Google auto-complete. 
- 'passage': the passage that contains the answer. 
- 'url': the url from which the passage was mined. 
- 'answers': a list of answers, containing the string and the index of the answer. ### Data Splits

The train/test split contains 600/575 samples. ## Dataset Creation ### Curation Rationale

The question were collected via Google auto-complete.
The answers were annotated by native speakers. 
For more details, check the corresponding draft. ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information

CC BY-NC-SA 4.0 License ### Contributions

Thanks to @danyaljj for adding this dataset.