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- license: cc-by-nc-4.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ annotations_creators:
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+ - no-annotation
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+ language_creators:
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+ - found
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+ languages:
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+ - as
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+ - bn
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+ - gu
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+ - hi
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+ - kn
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+ - ml
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+ - mr
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+ - or
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+ - pa
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+ - ta
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+ - te
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+ licenses:
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+ - cc-by-nc-4.0
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+ multilinguality:
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+ - multilingual
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+ pretty_name: IndicQuestionGeneration
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+ size_categories:
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+ - 98K<n<98K
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+ source_datasets:
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+ - we start with the SQuAD question answering dataset repurposed to serve as a question generation dataset. We translate this dataset into different Indic languages.
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+ task_categories:
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+ - conditional-text-generation
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+ task_ids:
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+ - conditional-text-generation-other-question-generation
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  ---
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+
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+ # Dataset Card for "IndicQuestionGeneration"
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+
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+ ## Table of Contents
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+ - [Dataset Card Creation Guide](#dataset-card-creation-guide)
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+ - [Table of Contents](#table-of-contents)
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-fields)
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+ - [Data Splits](#data-splits)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
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+ - [Who are the source language producers?](#who-are-the-source-language-producers)
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+ - [Annotations](#annotations)
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+ - [Annotation process](#annotation-process)
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+ - [Who are the annotators?](#who-are-the-annotators)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+ - [Contributions](#contributions)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** https://indicnlp.ai4bharat.org/indicnlg-suite
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+ - **Paper:** [IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages](https://arxiv.org/abs/2203.05437)
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+ - **Point of Contact:**
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+
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+ ### Dataset Summary
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+
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+ IndicQuestionGeneration is the question generation dataset released as part of IndicNLG Suite. Each
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+ example has five fields: id, squad_id, answer, context and question. We create this dataset in eleven
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+ languages, including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. This is translated data. The examples in each language are exactly similar but in different languages.
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+ The number of examples in each language is 98,027.
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+
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ **Tasks:** Question Generation
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+
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+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
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+
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+ ### Languages
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+ - `Assamese (as)`
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+ - `Bengali (bn)`
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+ - `Gujarati (gu)`
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+ - `Kannada (kn)`
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+ - `Hindi (hi)`
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+ - `Malayalam (ml)`
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+ - `Marathi (mr)`
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+ - `Oriya (or)`
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+ - `Punjabi (pa)`
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+ - `Tamil (ta)`
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+ - `Telugu (te)`
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ One random example from the `hi` dataset is given below in JSON format.
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+ ```
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+ {
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+ "id": 8,
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+ "squad_id": "56be8e613aeaaa14008c90d3",
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+ "answer": "अमेरिकी फुटबॉल सम्मेलन",
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+ "context": "अमेरिकी फुटबॉल सम्मेलन (एएफसी) के चैंपियन डेनवर ब्रोंकोस ने नेशनल फुटबॉल कांफ्रेंस (एनएफसी) की चैंपियन कैरोलिना पैंथर्स को 24-10 से हराकर अपना तीसरा सुपर बाउल खिताब जीता।",
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+ "question": "एएफसी का मतलब क्या है?"
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+ }
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+ ```
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+
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+ ### Data Fields
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+ - `id (string)`: Unique identifier.
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+ - `squad_id (string)`: Unique identifier in Squad dataset.
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+ - `answer (strings)`: Answer as one of the two inputs.
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+ - `context (string)`: Context, the other input.
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+ - `question (string)`: Question, the output.
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+
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+
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+ ### Data Splits
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+
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+ Here is the number of samples in each split for all the languages.
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+
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+
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+
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+
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+ Language | ISO 639-1 Code | Train | Dev | Test |
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+ ---------- | ---------- | ---------- | ---------- | ---------- |
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+ Assamese | as | 69,979 | 17,495 | 10,553 |
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+ Bengali | bn | 69,979 | 17,495 | 10,553 |
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+ Gujarati | gu | 69,979 | 17,495 | 10,553 |
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+ Hindi | hi | 69,979 | 17,495 | 10,553 |
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+ Kannada | kn | 69,979 | 17,495 | 10,553 |
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+ Malayalam | ml | 69,979 | 17,495 | 10,553 |
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+ Marathi | mr | 69,979 | 17,495 | 10,553 |
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+ Oriya | or | 69,979 | 17,495 | 10,553 |
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+ Punjabi | pa | 69,979 | 17,495 | 10,553 |
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+ Tamil | ta | 69,979 | 17,495 | 10,553 |
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+ Telugu | te | 69,979 | 17,495 | 10,553 |
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+
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [Detailed in the paper](https://arxiv.org/abs/2203.05437)
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+
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+ ### Source Data
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+
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+ Squad Dataset(https://rajpurkar.github.io/SQuAD-explorer/)
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+
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+ #### Initial Data Collection and Normalization
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+
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+ [Detailed in the paper](https://arxiv.org/abs/2203.05437)
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+
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+
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+ #### Who are the source language producers?
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+
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+ [Detailed in the paper](https://arxiv.org/abs/2203.05437)
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+
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+
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+ ### Annotations
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+ [More information needed]
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+ #### Annotation process
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+ [More information needed]
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+
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+ #### Who are the annotators?
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+
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+ [More information needed]
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+
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+ ### Personal and Sensitive Information
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+
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+ [More information needed]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ [More information needed]
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+
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+ ### Discussion of Biases
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+
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+ [More information needed]
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+
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+ ### Other Known Limitations
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+
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+ [More information needed]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ [More information needed]
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+
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+ ### Licensing Information
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+
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+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
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+ ### Citation Information
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+
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+ If you use any of the datasets, models or code modules, please cite the following paper:
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+ ```
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+ @inproceedings{Kumar2022IndicNLGSM,
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+ title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
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+ author={Aman Kumar and Himani Shrotriya and Prachi Sahu and Raj Dabre and Ratish Puduppully and Anoop Kunchukuttan and Amogh Mishra and Mitesh M. Khapra and Pratyush Kumar},
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+ year={2022},
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+ url = "https://arxiv.org/abs/2203.05437",
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+ ```
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+
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+
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+ ### Contributions
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+
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+ [Detailed in the paper](https://arxiv.org/abs/2203.05437)