Datasets:
Tasks:
Text Classification
Sub-tasks:
natural-language-inference
Languages:
Bengali
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
found
Annotations Creators:
machine-generated
Source Datasets:
extended
ArXiv:
Tags:
License:
| annotations_creators: | |
| - machine-generated | |
| language_creators: | |
| - found | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 100K<n<1M | |
| source_datasets: | |
| - extended | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - natural-language-inference | |
| language: | |
| - bn | |
| license: | |
| - cc-by-nc-sa-4.0 | |
| # Dataset Card for `xnli_bn` | |
| ## Table of Contents | |
| - [Dataset Card for `xnli_bn`](#dataset-card-for-xnli_bn) | |
| - [Table of Contents](#table-of-contents) | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Usage](#usage) | |
| - [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 | |
| - **Repository:** [https://github.com/csebuetnlp/banglabert](https://github.com/csebuetnlp/banglabert) | |
| - **Paper:** [**"BanglaBERT: Combating Embedding Barrier in Multilingual Models for Low-Resource Language Understanding"**](https://arxiv.org/abs/2101.00204) | |
| - **Point of Contact:** [Tahmid Hasan](mailto:tahmidhasan@cse.buet.ac.bd) | |
| ### Dataset Summary | |
| This is a Natural Language Inference (NLI) dataset for Bengali, curated using the subset of | |
| MNLI data used in XNLI and state-of-the-art English to Bengali translation model introduced **[here](https://aclanthology.org/2020.emnlp-main.207/).** | |
| ### Supported Tasks and Leaderboards | |
| [More information needed](https://github.com/csebuetnlp/banglabert) | |
| ### Languages | |
| * `Bengali` | |
| ### Usage | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset("csebuetnlp/xnli_bn") | |
| ``` | |
| ## Dataset Structure | |
| ### Data Instances | |
| One example from the dataset is given below in JSON format. | |
| ``` | |
| { | |
| "sentence1": "আসলে, আমি এমনকি এই বিষয়ে চিন্তাও করিনি, কিন্তু আমি এত হতাশ হয়ে পড়েছিলাম যে, শেষ পর্যন্ত আমি আবার তার সঙ্গে কথা বলতে শুরু করেছিলাম", | |
| "sentence2": "আমি তার সাথে আবার কথা বলিনি।", | |
| "label": "contradiction" | |
| } | |
| ``` | |
| ### Data Fields | |
| The data fields are as follows: | |
| - `sentence1`: a `string` feature indicating the premise. | |
| - `sentence2`: a `string` feature indicating the hypothesis. | |
| - `label`: a classification label, where possible values are `contradiction` (0), `entailment` (1), `neutral` (2) . | |
| ### Data Splits | |
| | split |count | | |
| |----------|--------| | |
| |`train`| 381449 | | |
| |`validation`| 2419 | | |
| |`test`| 4895 | | |
| ## Dataset Creation | |
| The dataset curation procedure was the same as the [XNLI](https://aclanthology.org/D18-1269/) dataset: we translated the [MultiNLI](https://aclanthology.org/N18-1101/) training data using the English to Bangla translation model introduced [here](https://aclanthology.org/2020.emnlp-main.207/). Due to the possibility of incursions of error during automatic translation, we used the [Language-Agnostic BERT Sentence Embeddings (LaBSE)](https://arxiv.org/abs/2007.01852) of the translations and original sentences to compute their similarity. All sentences below a similarity threshold of 0.70 were discarded. | |
| ### Curation Rationale | |
| [More information needed](https://github.com/csebuetnlp/banglabert) | |
| ### Source Data | |
| [XNLI](https://aclanthology.org/D18-1269/) | |
| #### Initial Data Collection and Normalization | |
| [More information needed](https://github.com/csebuetnlp/banglabert) | |
| #### Who are the source language producers? | |
| [More information needed](https://github.com/csebuetnlp/banglabert) | |
| ### Annotations | |
| [More information needed](https://github.com/csebuetnlp/banglabert) | |
| #### Annotation process | |
| [More information needed](https://github.com/csebuetnlp/banglabert) | |
| #### Who are the annotators? | |
| [More information needed](https://github.com/csebuetnlp/banglabert) | |
| ### Personal and Sensitive Information | |
| [More information needed](https://github.com/csebuetnlp/banglabert) | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [More information needed](https://github.com/csebuetnlp/banglabert) | |
| ### Discussion of Biases | |
| [More information needed](https://github.com/csebuetnlp/banglabert) | |
| ### Other Known Limitations | |
| [More information needed](https://github.com/csebuetnlp/banglabert) | |
| ## Additional Information | |
| ### Dataset Curators | |
| [More information needed](https://github.com/csebuetnlp/banglabert) | |
| ### Licensing Information | |
| Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/). Copyright of the dataset contents belongs to the original copyright holders. | |
| ### Citation Information | |
| If you use the dataset, please cite the following paper: | |
| ``` | |
| @misc{bhattacharjee2021banglabert, | |
| title={BanglaBERT: Combating Embedding Barrier in Multilingual Models for Low-Resource Language Understanding}, | |
| author={Abhik Bhattacharjee and Tahmid Hasan and Kazi Samin and Md Saiful Islam and M. Sohel Rahman and Anindya Iqbal and Rifat Shahriyar}, | |
| year={2021}, | |
| eprint={2101.00204}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL} | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@abhik1505040](https://github.com/abhik1505040) and [@Tahmid](https://github.com/Tahmid04) for adding this dataset. |