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README.md
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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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# Dataset Card for "IndicQuestionGeneration"
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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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## Dataset Description
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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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### Dataset Summary
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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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### Supported Tasks and Leaderboards
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**Tasks:** Question Generation
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**Leaderboards:** Currently there is no Leaderboard for this dataset.
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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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## Dataset Structure
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### Data Instances
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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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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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## Dataset Creation
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### Curation Rationale
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[Detailed in the paper](https://arxiv.org/abs/2203.05437)
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### Source Data
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Squad Dataset(https://rajpurkar.github.io/SQuAD-explorer/)
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#### Initial Data Collection and Normalization
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[Detailed in the paper](https://arxiv.org/abs/2203.05437)
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#### Who are the source language producers?
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[Detailed in the paper](https://arxiv.org/abs/2203.05437)
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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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[More information needed]
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### Personal and Sensitive Information
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[More information needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More information needed]
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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)
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