Datasets:
Multilinguality:
multilingual
Size Categories:
1M<n<10M
Language Creators:
found
Annotations Creators:
no-annotation
Source Datasets:
original
ArXiv:
Tags:
License:
| annotations_creators: | |
| - no-annotation | |
| language_creators: | |
| - found | |
| language: | |
| - as | |
| - bn | |
| - gu | |
| - hi | |
| - kn | |
| - ml | |
| - mr | |
| - or | |
| - pa | |
| - ta | |
| - te | |
| license: | |
| - cc-by-nc-4.0 | |
| multilinguality: | |
| - multilingual | |
| pretty_name: IndicParaphrase | |
| size_categories: | |
| - 1M<n<10M | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - conditional-text-generation | |
| task_ids: | |
| - conditional-text-generation-other-paraphrase-generation | |
| # Dataset Card for "IndicParaphrase" | |
| ## Table of Contents | |
| - [Dataset Card Creation Guide](#dataset-card-creation-guide) | |
| - [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:** https://indicnlp.ai4bharat.org/indicnlg-suite | |
| - **Paper:** [IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages](https://arxiv.org/abs/2203.05437) | |
| - **Point of Contact:** | |
| ### Dataset Summary | |
| IndicParaphrase is the paraphrasing dataset released as part of IndicNLG Suite. Each | |
| input is paired with up to 5 references. We create this dataset in eleven | |
| languages including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. The total | |
| size of the dataset is 5.57M. | |
| ### Supported Tasks and Leaderboards | |
| **Tasks:** Paraphrase generation | |
| **Leaderboards:** Currently there is no Leaderboard for this dataset. | |
| ### Languages | |
| - `Assamese (as)` | |
| - `Bengali (bn)` | |
| - `Gujarati (gu)` | |
| - `Kannada (kn)` | |
| - `Hindi (hi)` | |
| - `Malayalam (ml)` | |
| - `Marathi (mr)` | |
| - `Oriya (or)` | |
| - `Punjabi (pa)` | |
| - `Tamil (ta)` | |
| - `Telugu (te)` | |
| ## Dataset Structure | |
| ### Data Instances | |
| One example from the `hi` dataset is given below in JSON format. | |
| ``` | |
| { | |
| 'id': '1', | |
| 'input': 'निजी क्षेत्र में प्रदेश की 75 प्रतिशत नौकरियां हरियाणा के युवाओं के लिए आरक्षित की जाएगी।', | |
| 'references': ['प्रदेश के युवाओं को निजी उद्योगों में 75 प्रतिशत आरक्षण देंगे।', | |
| 'युवाओं के लिए हरियाणा की सभी प्राइवेट नौकरियों में 75 प्रतिशत आरक्षण लागू किया जाएगा।', | |
| 'निजी क्षेत्र में 75 प्रतिशत आरक्षित लागू कर प्रदेश के युवाओं का रोजगार सुनिश्चत किया जाएगा।', | |
| 'प्राईवेट कम्पनियों में हरियाणा के नौजवानों को 75 प्रतिशत नौकरियां में आरक्षित की जाएगी।', | |
| 'प्रदेश की प्राइवेट फैक्टरियों में 75 फीसदी रोजगार हरियाणा के युवाओं के लिए आरक्षित किए जाएंगे।'], | |
| 'target': 'प्रदेश के युवाओं को निजी उद्योगों में 75 प्रतिशत आरक्षण देंगे।' | |
| } | |
| ``` | |
| ### Data Fields | |
| - `id (string)`: Unique identifier. | |
| - `pivot (string)`: English sentence used as the pivot | |
| - `input (string)`: Input sentence | |
| - `references (list of strings)`: Paraphrases of `input`, ordered according to the least n-gram overlap | |
| - `target (string)`: The first reference (most dissimilar paraphrase) | |
| ### Data Splits | |
| We first select 10K instances each for the validation and test and put remaining in the training dataset. `Assamese (as)`, due to its low-resource nature, could only be split into validation and test sets with 4,420 examples each. | |
| Individual dataset with train-dev-test example counts are given below: | |
| Language | ISO 639-1 Code |Train | Dev | Test | | |
| --------------|----------------|-------|-----|------| | |
| Assamese | as | - | 4,420 | 4,420 | | |
| Bengali | bn | 890,445 | 10,000 | 10,000 | | |
| Gujarati | gu | 379,202 | 10,000 | 10,000 | | |
| Hindi | hi | 929,507 | 10,000 | 10,000 | | |
| Kannada | kn | 522,148 | 10,000 | 10,000 | | |
| Malayalam | ml |761,933 | 10,000 | 10,000 | | |
| Marathi | mr |406,003 | 10,000 | 10,000 | | |
| Oriya | or | 105,970 | 10,000 | 10,000 | | |
| Punjabi | pa | 266,704 | 10,000 | 10,000 | | |
| Tamil | ta | 497,798 | 10,000 | 10,000 | | |
| Telugu | te | 596,283 | 10,000 | 10,000 | | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More information needed] | |
| ### Source Data | |
| [Samanantar dataset](https://indicnlp.ai4bharat.org/samanantar/) | |
| #### Initial Data Collection and Normalization | |
| [Detailed in the paper](https://arxiv.org/abs/2203.05437) | |
| #### Who are the source language producers? | |
| [Detailed in the paper](https://arxiv.org/abs/2203.05437) | |
| ### Annotations | |
| [More information needed] | |
| #### 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 | |
| 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. | |
| ### Citation Information | |
| If you use any of the datasets, models or code modules, please cite the following paper: | |
| ``` | |
| @inproceedings{Kumar2022IndicNLGSM, | |
| title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages}, | |
| 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}, | |
| year={2022}, | |
| url = "https://arxiv.org/abs/2203.05437" | |
| } | |
| ``` | |
| ### Contributions | |