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Fix `license` metadata (#1)
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Co-authored-by: Julien Chaumond <[email protected]>
    	
        README.md
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            - found
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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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            - 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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| 31 | 
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            ---
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            -
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            # Dataset Card for "IndicQuestionGeneration"
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| 35 | 
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            ## Table of Contents
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| 36 | 
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            - [Dataset Card Creation Guide](#dataset-card-creation-guide)
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| 37 | 
            -
              - [Table of Contents](#table-of-contents)
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| 38 | 
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              - [Dataset Description](#dataset-description)
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| 39 | 
            -
                - [Dataset Summary](#dataset-summary)
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| 40 | 
            -
                - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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| 41 | 
            -
                - [Languages](#languages)
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| 42 | 
            -
              - [Dataset Structure](#dataset-structure)
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| 43 | 
            -
                - [Data Instances](#data-instances)
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| 44 | 
            -
                - [Data Fields](#data-fields)
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| 45 | 
            -
                - [Data Splits](#data-splits)
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| 46 | 
            -
              - [Dataset Creation](#dataset-creation)
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| 47 | 
            -
                - [Curation Rationale](#curation-rationale)
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| 48 | 
            -
                - [Source Data](#source-data)
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| 49 | 
            -
                  - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
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| 50 | 
            -
                  - [Who are the source language producers?](#who-are-the-source-language-producers)
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| 51 | 
            -
                - [Annotations](#annotations)
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| 52 | 
            -
                  - [Annotation process](#annotation-process)
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| 53 | 
            -
                  - [Who are the annotators?](#who-are-the-annotators)
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| 54 | 
            -
                - [Personal and Sensitive Information](#personal-and-sensitive-information)
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| 55 | 
            -
              - [Considerations for Using the Data](#considerations-for-using-the-data)
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| 56 | 
            -
                - [Social Impact of Dataset](#social-impact-of-dataset)
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| 57 | 
            -
                - [Discussion of Biases](#discussion-of-biases)
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| 58 | 
            -
                - [Other Known Limitations](#other-known-limitations)
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| 59 | 
            -
              - [Additional Information](#additional-information)
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| 60 | 
            -
                - [Dataset Curators](#dataset-curators)
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| 61 | 
            -
                - [Licensing Information](#licensing-information)
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| 62 | 
            -
                - [Citation Information](#citation-information)
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| 63 | 
            -
                - [Contributions](#contributions)
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| 64 | 
            -
             | 
| 65 | 
            -
            ## Dataset Description
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| 66 | 
            -
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| 67 | 
            -
            - **Homepage:** https://indicnlp.ai4bharat.org/indicnlg-suite
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| 68 | 
            -
            - **Paper:** [IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages](https://arxiv.org/abs/2203.05437)
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| 69 | 
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            - **Point of Contact:** 
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| 70 | 
            -
             | 
| 71 | 
            -
            ### Dataset Summary
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| 72 | 
            -
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| 73 | 
            -
            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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| 75 | 
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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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| 76 | 
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            The number of examples in each language is 98,027.
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| 77 | 
            -
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            -
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| 79 | 
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            ### Supported Tasks and Leaderboards
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| 80 | 
            -
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            **Tasks:** Question Generation
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| 82 | 
            -
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| 83 | 
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            **Leaderboards:** Currently there is no Leaderboard for this dataset.
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| 84 | 
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| 85 | 
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            ### Languages
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| 86 | 
            -
            -  `Assamese (as)`
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| 87 | 
            -
            -  `Bengali (bn)`
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| 88 | 
            -
            -  `Gujarati (gu)`
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| 89 | 
            -
            -  `Kannada (kn)`
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| 90 | 
            -
            -  `Hindi (hi)`
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| 91 | 
            -
            -  `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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| 97 | 
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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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            ### 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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            ### Data Splits
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            Here is the number of samples in each split for all the languages.
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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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| 133 | 
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            Hindi	|	hi	|	69,979	|	17,495	|	10,553	|
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| 134 | 
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            Kannada	|	kn	|	69,979	|	17,495	|	10,553	|
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| 135 | 
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            Malayalam	|	ml	|	69,979	|	17,495	|	10,553	|
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| 136 | 
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            Marathi	|	mr 	|	69,979	|	17,495	|	10,553	|
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| 137 | 
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            Oriya	|	or	|	69,979	|	17,495	|	10,553	|
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| 138 | 
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            Punjabi	|	pa 	|	69,979	|	17,495	|	10,553	|
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| 139 | 
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            Tamil	|	ta 	|	69,979	|	17,495	|	10,553	|
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| 140 | 
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            Telugu	|	te 	|	69,979	|	17,495	|	10,553	|
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| 141 | 
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            ## Dataset Creation
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| 144 | 
            -
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| 145 | 
            -
            ### Curation Rationale
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| 146 | 
            -
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| 147 | 
            -
            [Detailed in the paper](https://arxiv.org/abs/2203.05437)
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| 148 | 
            -
             | 
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            ### Source Data
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| 150 | 
            -
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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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| 154 | 
            -
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| 155 | 
            -
            [Detailed in the paper](https://arxiv.org/abs/2203.05437)
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| 156 | 
            -
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            -
             | 
| 158 | 
            -
            #### 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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| 161 | 
            -
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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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            #### 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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            [More information needed]
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            ### Other Known Limitations
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            [More information needed]
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            ## Additional Information
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            ### Dataset Curators
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            [More information needed]
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            ### Licensing Information
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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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            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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            ### Contributions
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            [Detailed in the paper](https://arxiv.org/abs/2203.05437)
         | 
|  | |
| 1 | 
            +
            ---
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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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            language:
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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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            license:
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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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| 23 | 
            +
            size_categories:
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| 24 | 
            +
            - 98K<n<98K
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| 25 | 
            +
            source_datasets:
         | 
| 26 | 
            +
            - we start with the SQuAD question answering dataset repurposed to serve as a question generation dataset. We translate this dataset into different Indic languages.
         | 
| 27 | 
            +
            task_categories:
         | 
| 28 | 
            +
            - conditional-text-generation
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| 29 | 
            +
            task_ids:
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| 30 | 
            +
            - conditional-text-generation-other-question-generation
         | 
| 31 | 
            +
            ---
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| 32 | 
            +
             | 
| 33 | 
            +
            # Dataset Card for "IndicQuestionGeneration"
         | 
| 34 | 
            +
             | 
| 35 | 
            +
            ## Table of Contents
         | 
| 36 | 
            +
            - [Dataset Card Creation Guide](#dataset-card-creation-guide)
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| 37 | 
            +
              - [Table of Contents](#table-of-contents)
         | 
| 38 | 
            +
              - [Dataset Description](#dataset-description)
         | 
| 39 | 
            +
                - [Dataset Summary](#dataset-summary)
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| 40 | 
            +
                - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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| 41 | 
            +
                - [Languages](#languages)
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| 42 | 
            +
              - [Dataset Structure](#dataset-structure)
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| 43 | 
            +
                - [Data Instances](#data-instances)
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| 44 | 
            +
                - [Data Fields](#data-fields)
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| 45 | 
            +
                - [Data Splits](#data-splits)
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| 46 | 
            +
              - [Dataset Creation](#dataset-creation)
         | 
| 47 | 
            +
                - [Curation Rationale](#curation-rationale)
         | 
| 48 | 
            +
                - [Source Data](#source-data)
         | 
| 49 | 
            +
                  - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
         | 
| 50 | 
            +
                  - [Who are the source language producers?](#who-are-the-source-language-producers)
         | 
| 51 | 
            +
                - [Annotations](#annotations)
         | 
| 52 | 
            +
                  - [Annotation process](#annotation-process)
         | 
| 53 | 
            +
                  - [Who are the annotators?](#who-are-the-annotators)
         | 
| 54 | 
            +
                - [Personal and Sensitive Information](#personal-and-sensitive-information)
         | 
| 55 | 
            +
              - [Considerations for Using the Data](#considerations-for-using-the-data)
         | 
| 56 | 
            +
                - [Social Impact of Dataset](#social-impact-of-dataset)
         | 
| 57 | 
            +
                - [Discussion of Biases](#discussion-of-biases)
         | 
| 58 | 
            +
                - [Other Known Limitations](#other-known-limitations)
         | 
| 59 | 
            +
              - [Additional Information](#additional-information)
         | 
| 60 | 
            +
                - [Dataset Curators](#dataset-curators)
         | 
| 61 | 
            +
                - [Licensing Information](#licensing-information)
         | 
| 62 | 
            +
                - [Citation Information](#citation-information)
         | 
| 63 | 
            +
                - [Contributions](#contributions)
         | 
| 64 | 
            +
             | 
| 65 | 
            +
            ## Dataset Description
         | 
| 66 | 
            +
             | 
| 67 | 
            +
            - **Homepage:** https://indicnlp.ai4bharat.org/indicnlg-suite
         | 
| 68 | 
            +
            - **Paper:** [IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages](https://arxiv.org/abs/2203.05437)
         | 
| 69 | 
            +
            - **Point of Contact:** 
         | 
| 70 | 
            +
             | 
| 71 | 
            +
            ### Dataset Summary
         | 
| 72 | 
            +
             | 
| 73 | 
            +
            IndicQuestionGeneration is the question generation dataset released as part of IndicNLG Suite. Each 
         | 
| 74 | 
            +
            example has five fields: id, squad_id, answer, context and question. We create this dataset in eleven 
         | 
| 75 | 
            +
            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. 
         | 
| 76 | 
            +
            The number of examples in each language is 98,027.
         | 
| 77 | 
            +
             | 
| 78 | 
            +
             | 
| 79 | 
            +
            ### Supported Tasks and Leaderboards
         | 
| 80 | 
            +
             | 
| 81 | 
            +
            **Tasks:** Question Generation
         | 
| 82 | 
            +
             | 
| 83 | 
            +
            **Leaderboards:** Currently there is no Leaderboard for this dataset.
         | 
| 84 | 
            +
             | 
| 85 | 
            +
            ### Languages
         | 
| 86 | 
            +
            -  `Assamese (as)`
         | 
| 87 | 
            +
            -  `Bengali (bn)`
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| 88 | 
            +
            -  `Gujarati (gu)`
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| 89 | 
            +
            -  `Kannada (kn)`
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| 90 | 
            +
            -  `Hindi (hi)`
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| 91 | 
            +
            -  `Malayalam (ml)`
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| 92 | 
            +
            -  `Marathi (mr)`
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| 93 | 
            +
            -  `Oriya (or)`
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| 94 | 
            +
            -  `Punjabi (pa)`
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| 95 | 
            +
            -  `Tamil (ta)`
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| 96 | 
            +
            -  `Telugu (te)`
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| 97 | 
            +
             | 
| 98 | 
            +
            ## Dataset Structure
         | 
| 99 | 
            +
             | 
| 100 | 
            +
            ### Data Instances
         | 
| 101 | 
            +
             | 
| 102 | 
            +
            One random example from the `hi` dataset is given below in JSON format. 
         | 
| 103 | 
            +
              ```
         | 
| 104 | 
            +
              {
         | 
| 105 | 
            +
              "id": 8, 
         | 
| 106 | 
            +
              "squad_id": "56be8e613aeaaa14008c90d3", 
         | 
| 107 | 
            +
              "answer": "अमेरिकी फुटबॉल सम्मेलन", 
         | 
| 108 | 
            +
              "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।", 
         | 
| 109 | 
            +
              "question": "एएफसी का मतलब क्या है?"
         | 
| 110 | 
            +
              }
         | 
| 111 | 
            +
              ```
         | 
| 112 | 
            +
             | 
| 113 | 
            +
            ### Data Fields
         | 
| 114 | 
            +
            -  `id (string)`: Unique identifier.
         | 
| 115 | 
            +
            -  `squad_id (string)`: Unique identifier in Squad dataset.
         | 
| 116 | 
            +
            -  `answer (strings)`: Answer as one of the two inputs.
         | 
| 117 | 
            +
            -  `context (string)`: Context, the other input. 
         | 
| 118 | 
            +
            -  `question (string)`: Question, the output.
         | 
| 119 | 
            +
             | 
| 120 | 
            +
             | 
| 121 | 
            +
            ### Data Splits
         | 
| 122 | 
            +
             | 
| 123 | 
            +
            Here is the number of samples in each split for all the languages.
         | 
| 124 | 
            +
             | 
| 125 | 
            +
             | 
| 126 | 
            +
             | 
| 127 | 
            +
             | 
| 128 | 
            +
            Language	|	ISO 639-1 Code	|	Train	|	Dev	|	Test	|
         | 
| 129 | 
            +
            ----------	|	----------	|	----------	|	----------	|	----------	|
         | 
| 130 | 
            +
            Assamese	|	as	|	69,979	|	17,495	|	10,553	|
         | 
| 131 | 
            +
            Bengali	|	bn	|	69,979	|	17,495	|	10,553	|
         | 
| 132 | 
            +
            Gujarati	|	gu	|	69,979	|	17,495	|	10,553	|
         | 
| 133 | 
            +
            Hindi	|	hi	|	69,979	|	17,495	|	10,553	|
         | 
| 134 | 
            +
            Kannada	|	kn	|	69,979	|	17,495	|	10,553	|
         | 
| 135 | 
            +
            Malayalam	|	ml	|	69,979	|	17,495	|	10,553	|
         | 
| 136 | 
            +
            Marathi	|	mr 	|	69,979	|	17,495	|	10,553	|
         | 
| 137 | 
            +
            Oriya	|	or	|	69,979	|	17,495	|	10,553	|
         | 
| 138 | 
            +
            Punjabi	|	pa 	|	69,979	|	17,495	|	10,553	|
         | 
| 139 | 
            +
            Tamil	|	ta 	|	69,979	|	17,495	|	10,553	|
         | 
| 140 | 
            +
            Telugu	|	te 	|	69,979	|	17,495	|	10,553	|
         | 
| 141 | 
            +
             | 
| 142 | 
            +
             | 
| 143 | 
            +
            ## Dataset Creation
         | 
| 144 | 
            +
             | 
| 145 | 
            +
            ### Curation Rationale
         | 
| 146 | 
            +
             | 
| 147 | 
            +
            [Detailed in the paper](https://arxiv.org/abs/2203.05437)
         | 
| 148 | 
            +
             | 
| 149 | 
            +
            ### Source Data
         | 
| 150 | 
            +
             | 
| 151 | 
            +
            Squad Dataset(https://rajpurkar.github.io/SQuAD-explorer/)
         | 
| 152 | 
            +
             | 
| 153 | 
            +
            #### Initial Data Collection and Normalization
         | 
| 154 | 
            +
             | 
| 155 | 
            +
            [Detailed in the paper](https://arxiv.org/abs/2203.05437)
         | 
| 156 | 
            +
             | 
| 157 | 
            +
             | 
| 158 | 
            +
            #### Who are the source language producers?
         | 
| 159 | 
            +
             | 
| 160 | 
            +
            [Detailed in the paper](https://arxiv.org/abs/2203.05437)
         | 
| 161 | 
            +
             | 
| 162 | 
            +
             | 
| 163 | 
            +
            ### Annotations
         | 
| 164 | 
            +
            [More information needed]
         | 
| 165 | 
            +
            #### Annotation process
         | 
| 166 | 
            +
            [More information needed]
         | 
| 167 | 
            +
             | 
| 168 | 
            +
            #### Who are the annotators?
         | 
| 169 | 
            +
             | 
| 170 | 
            +
            [More information needed]
         | 
| 171 | 
            +
             | 
| 172 | 
            +
            ### Personal and Sensitive Information
         | 
| 173 | 
            +
             | 
| 174 | 
            +
            [More information needed]
         | 
| 175 | 
            +
             | 
| 176 | 
            +
            ## Considerations for Using the Data
         | 
| 177 | 
            +
             | 
| 178 | 
            +
            ### Social Impact of Dataset
         | 
| 179 | 
            +
             | 
| 180 | 
            +
            [More information needed]
         | 
| 181 | 
            +
             | 
| 182 | 
            +
            ### Discussion of Biases
         | 
| 183 | 
            +
             | 
| 184 | 
            +
            [More information needed]
         | 
| 185 | 
            +
             | 
| 186 | 
            +
            ### Other Known Limitations
         | 
| 187 | 
            +
             | 
| 188 | 
            +
            [More information needed]
         | 
| 189 | 
            +
             | 
| 190 | 
            +
            ## Additional Information
         | 
| 191 | 
            +
             | 
| 192 | 
            +
            ### Dataset Curators
         | 
| 193 | 
            +
             | 
| 194 | 
            +
            [More information needed]
         | 
| 195 | 
            +
             | 
| 196 | 
            +
            ### Licensing Information
         | 
| 197 | 
            +
             | 
| 198 | 
            +
            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.
         | 
| 199 | 
            +
            ### Citation Information
         | 
| 200 | 
            +
             | 
| 201 | 
            +
            If you use any of the datasets, models or code modules, please cite the following paper:
         | 
| 202 | 
            +
            ```
         | 
| 203 | 
            +
            @inproceedings{Kumar2022IndicNLGSM,
         | 
| 204 | 
            +
              title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
         | 
| 205 | 
            +
              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},
         | 
| 206 | 
            +
              year={2022},
         | 
| 207 | 
            +
              url = "https://arxiv.org/abs/2203.05437",     
         | 
| 208 | 
            +
            ```
         | 
| 209 | 
            +
             | 
| 210 | 
            +
             | 
| 211 | 
            +
            ### Contributions
         | 
| 212 | 
            +
             | 
| 213 | 
             
            [Detailed in the paper](https://arxiv.org/abs/2203.05437)
         | 

 
		