add README / dataset card

README.md

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+---
+annotations_creators:
+- expert_generated
+language_creators:
+- found
+languages:
+- zu
+licenses:
+- cc-by-4.0
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+task_categories:
+- text_classification
+task_ids:
+- fact_checking
+- sentiment-classification
+paperswithcode_id: 
+pretty_name: ZUstance
+---
+
+# Dataset Card for "zulu-stance"
+
+## 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)
+  - [Annotations](#annotations)
+  - [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://arxiv.org/abs/2205.03153](https://arxiv.org/abs/2205.03153)
+- **Repository:** 
+- **Paper:** [https://arxiv.org/pdf/2205.03153](https://arxiv.org/pdf/2205.03153)
+- **Point of Contact:** [Leon Derczynski](https://github.com/leondz)
+- **Size of downloaded dataset files:** 212.54 KiB
+- **Size of the generated dataset:** 186.76 KiB
+- **Total amount of disk used:**  399.30KiB
+
+### Dataset Summary
+
+This is a stance detection dataset in the Zulu language. The data is translated to Zulu by Zulu native speakers, from English source texts.
+
+Our paper aims at utilizing this progress made for English to transfers that knowledge into other languages, which is a non-trivial task due to the domain gap between English and the target languages. We propose a black-box non-intrusive method that utilizes techniques from Domain Adaptation to reduce the domain gap, without requiring any human expertise in the target language, by leveraging low-quality data in both a supervised and unsupervised manner. This allows us to rapidly achieve similar results for stance detection for the Zulu language, the target language in this work, as are found for English. A natively-translated dataset is used for evaluation of domain transfer.
+
+This dataset only defines a `TEST` partition.
+
+### Supported Tasks and Leaderboards
+
+* 
+
+### Languages
+
+Zulu (`bcp47:zu`)
+
+## Dataset Structure
+
+### Data Instances
+
+#### zulu_stance
+
+- **Size of downloaded dataset files:** 212.54 KiB
+- **Size of the generated dataset:** 186.76 KiB
+- **Total amount of disk used:**  399.30KiB
+
+An example of 'train' looks as follows.
+
+```
+{
+  'id': '0', 
+  'text': 'ubukhulu be-islam buba sobala lapho i-smartphone ifaka i-ramayana njengo-ramadan. #semst', 
+  'target': 'Atheism', 
+  'stance': 1}
+
+```
+
+
+### Data Fields
+
+- `id`: a `string` feature.
+- `text`: a `string` expressing a stance.
+- `target`: a `string` of the target/topic annotated here.
+- `stance`: a class label representing the stance the text expresses towards the target. Full tagset with indices:
+
+```
+                            0: "FAVOR",
+                            1: "AGAINST",
+                            2: "NONE",
+```
+
+### Data Splits
+
+|  name   |train|
+|---------|----:|
+|zulu_stance|1343 sentences|
+
+## Dataset Creation
+
+### Curation Rationale
+
+To enable stance detection in Zulu and also to measure domain transfer in translation
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+The original data is taken from [Semeval2016 task 6: Detecting stance in tweets.](https://aclanthology.org/S16-1003/),
+and then translated manually to Zulu.
+
+#### Who are the source language producers?
+
+English-speaking Twitter users.
+
+### Annotations
+
+#### Annotation process
+
+See [Semeval2016 task 6: Detecting stance in tweets.](https://aclanthology.org/S16-1003/); the annotations are taken from there.
+
+#### Who are the annotators?
+
+See [Semeval2016 task 6: Detecting stance in tweets.](https://aclanthology.org/S16-1003/); the annotations are taken from there.
+
+### Personal and Sensitive Information
+
+The data was public at the time of collection. User names are preserved.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+There's a risk of user-deleted content being in this data. The data has NOT been vetted for any content, so there's a risk of [harmful text](https://arxiv.org/abs/2204.14256) content.
+
+### Discussion of Biases
+
+While the data is in Zulu, the source text is not from or about Zulu-speakers, and so still expresses the social biases and topics found in English-speaking Twitter users. Further, some of the topics are USA-specific. The sentiments and ideas in this dataset do not represent Zulu speakers.
+
+### Other Known Limitations
+
+The above limitations apply.
+
+## Additional Information
+
+### Dataset Curators
+
+The dataset is curated by the paper's authors.
+
+### Licensing Information
+
+The authors distribute this data under Creative Commons attribution license, CC-BY 4.0. 
+
+### Citation Information
+
+```
+@inproceedings{dlamini_zulu_stance,
+  title={Bridging the Domain Gap for Stance Detection for the Zulu language},
+  author={Dlamini, Gcinizwe and Bekkouch, Imad Eddine Ibrahim and Khan, Adil and Derczynski, Leon},
+  booktitle={Proceedings of IEEE IntelliSys},
+  year={2022}
+}
+```
+
+
+### Contributions
+
+Author-added dataset [@leondz](https://github.com/leondz)