Datasets:
Tasks:
Text Classification
ArXiv:
| viewer: false | |
| language: | |
| - ace | |
| - amh | |
| - ara | |
| - arq | |
| - ary | |
| - bam | |
| - ban | |
| - bbc | |
| - ben | |
| - bjn | |
| - bos | |
| - bug | |
| - bul | |
| - ces | |
| - dan | |
| - deu | |
| - ell | |
| - eng | |
| - fas | |
| - fil | |
| - fin | |
| - fre | |
| - hau | |
| - heb | |
| - hin | |
| - hrv | |
| - hun | |
| - ibo | |
| - ind | |
| - ita | |
| - jav | |
| - jpn | |
| - kan | |
| - kin | |
| - kor | |
| - mad | |
| - mal | |
| - mar | |
| - min | |
| - mlt | |
| - nij | |
| - nor | |
| - pcm | |
| - pol | |
| - por | |
| - ron | |
| - rus | |
| - slk | |
| - slv | |
| - spa | |
| - sqi | |
| - srp | |
| - sun | |
| - swe | |
| - swh | |
| - tam | |
| - tel | |
| - tha | |
| - tso | |
| - tur | |
| - twi | |
| - vie | |
| - yor | |
| - zho | |
| tags: | |
| - Anti-Social | |
| - Emotion Recognition | |
| - Humor Detection | |
| - Irony | |
| - Sarcasm | |
| - Sentiment Analysis | |
| - Subjectivity Analysis | |
| - hate speech detection | |
| - offensive language detection | |
| task_categories: | |
| - text-classification | |
| extra_gated_fields: | |
| Full Name: text | |
| Official Email Address: text | |
| Affiliation: text | |
| Country: text | |
| I agree to ONLY use this dataset for non-commercial purposes: checkbox | |
| I agree to cite the SPARROW paper and all original papers: checkbox | |
| <p align="center"> | |
| <br> | |
| <img src="https://sparrow.dlnlp.ai/img/sparrow_main2.jpg" width="70%"/> | |
| <br> | |
| <p> | |
| <p align="center"> | |
| <!-- <a href="https://github.com/UBC-NLP/sparraw/releases"> --> | |
| <!-- <img alt="GitHub release" src="https://img.shields.io/github/release/UBC-NLP/sparraw.svg"> </a>--> | |
| <a href="https://sparrow.dlnlp.ai/"> | |
| <img alt="Documentation" src="https://img.shields.io/website.svg?down_color=red&down_message=offline&up_message=online&url=https://sparrow.dlnlp.ai"> | |
| </a> | |
| </p> | |
| In this work, we introduce [**SPARROW**](https://arxiv.org/abs/2310.14557), SPARROW is a evaluation benchmark for sociopragmatic meaning understanding. SPARROW comprises 169 datasets covering 13 task types across six primary categories (e.g., anti-social language detection, emotion recognition). SPARROW datasets encompass 64 different languages originating from 12 language families representing 16 writing scripts. | |
| # How to Use SPARROW | |
| ### Request Access ### | |
| To obtain access to the SPARROW benchmark on Huggingface, follow the following steps: | |
| - Login on your Haggingface account | |
| <img src="https://sparrow.dlnlp.ai/img/hf_login_request.png" width="70%"/> | |
| - Request access | |
| * Please fill in your actual full name and affiliation (e.g., the name of your research institute). | |
| * Please use your official email address if it is available. | |
| <img src="https://sparrow.dlnlp.ai/img/sparrow_request.png" width="70%"/> | |
| ## Install Requirments | |
| ```shell | |
| pip install datasets transformers seqeval | |
| ``` | |
| ### Login with your Huggingface CLI ### | |
| You can get/manage your access tokens in your [settings](https://huggingface.co/docs/hub/security-tokens). | |
| ```shell | |
| export HUGGINGFACE_TOKEN="" | |
| huggingface-cli login --token $HUGGINGFACE_TOKEN | |
| ``` | |
| ## Submitting your results on SPARROW test | |
| We design a public leaderboard for scoring PLMs on SPARRAW. Our leaderboard is interactive and offers rich meta-data about the various datasets involved as well as the language models we evaluate. | |
| You can evalute your models using **SPARROW** leaderboard: **[https://sparrow.dlnlp.ai](https://sparrow.dlnlp.ai)** | |
| If you want to get the labels of Test set, please contact Chiyu via (zcy94@outlook.com) | |
| --- | |
| ## Citation | |
| If you use SPARROW for your scientific publication, or if you find the resources in this repository useful, please cite our paper as follows: | |
| ```bibtex | |
| @inproceedings{zhang-etal-2023-skipped, | |
| title = "The Skipped Beat: A Study of Sociopragmatic Understanding in LLMs for 64 Languages", | |
| author = "Zhang, Chiyu and | |
| Khai Duy Doan and, | |
| Qisheng Liao and, | |
| Abdul-Mageed, Muhammad", | |
| booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)", | |
| year = "2023", | |
| publisher = "Association for Computational Linguistics", | |
| } | |
| ``` | |
| --- | |
| ## Acknowledgments | |
| We gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada, the Social Sciences and Humanities Research Council of Canada, Canadian Foundation for Innovation, [ComputeCanada](www.computecanada.ca) and [UBC ARC-Sockeye](https://doi.org/10.14288/SOCKEYE). |