Datasets:
Sub-tasks:
natural-language-inference
Languages:
Persian
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
extended|translated|mnli
ArXiv:
Tags:
License:
| 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|translated|mnli | |
| task_categories: | |
| - textual-entailment | |
| - natural-language-inference | |
| task_ids: | |
| - textual-entailment | |
| - natural-language-inference | |
| # Dataset Card for PersiNLU (Textual Entailment) | |
| ## Table of Contents | |
| - [Dataset Card for PersiNLU (Textual Entailment)](#dataset-card-for-persi_nlu_entailment) | |
| - [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 textual entailment task (deciding `sent1` entails `sent2`). | |
| The questions are partially translated from the SNLI dataset and partially generated by expert annotators. | |
| ### 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: | |
| ```json | |
| { | |
| "sent1": "سالها است که کنگره در تلاش است تا اثربخشی مدیریت اطلاعات و فناوری را در دولت فدرال افزایش دهد.", | |
| "sent2": "کنگره بودجه ویژه ای برای مدیریت اطلاعات و فناوری در دولت فدرال دارد.", | |
| "label": "n", | |
| "category": "translation-train" | |
| } | |
| ``` | |
| ### Data Fields | |
| - `sent1`: the first sentence. | |
| - `sent2`: the second sentence. | |
| - `source`: whether the questions are translated from MNLI (`translation-.`) or they're written by native speakers (`natural-.`). | |
| - `label`: `e` if `sent2` is entailed from `sent1`; `c` if `sent2` is contradictory to `sent1`; `n` if the two sentences are neutral. | |
| ### Data Splits | |
| The train/dev/test splits contains 756/271/1751 samples. | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| For 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. | |