Update README.md

README.md

@@ -1,3 +1,115 @@
 ---
 license: cc-by-nc-sa-4.0
+tags:
+- sentiment analysis, Twitter, tweets
+- stopwords
+multilinguality:
+- monolingual
+- multilingual
+language:
+- hau
+- ibo
+- pcm
+- yor
+pretty_name: NaijaStopwords
 ---
+
+# Naija-Stopwords
+
+Naija-Stopwords is a part of the [Naija-Senti](https://huggingface.co/datasets/HausaNLP/NaijaSenti-Twitter) project. It is a list of collected stopwords from the four most widely spoken languages in Nigeria — Hausa, Igbo, Nigerian-Pidgin, and Yorùbá.
+
+--------------------------------------------------------------------------------
+
+## Dataset Description
+
+
+- **Homepage:** https://github.com/hausanlp/NaijaSenti/tree/main/data/stopwords
+- **Repository:** [GitHub](https://github.com/hausanlp/NaijaSenti/tree/main/data/stopwords)
+- **Paper:**  [NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis](https://aclanthology.org/2022.lrec-1.63/)
+- **Leaderboard:** N/A
+- **Point of Contact:** [Shamsuddeen Hassan Muhammad](shamsuddeen2004@gmail.com)
+
+
+### Languages
+
+4 most spoken Nigerian languages 
+
+* Hausa (hau) 
+* Igbo (ibo)
+* Nigerian Pidgin (pcm)
+* Yoruba (yor) 
+
+
+## Dataset Structure
+
+### Data Instances
+
+List of stopwords instances in each of the four language.
+
+
+```
+{
+  "word": "string"
+}
+```
+
+
+### How to use it
+
+
+```python
+from  datasets  import  load_dataset
+
+# you can load specific languages (e.g., Hausa). This download train, validation and test sets. 
+ds = load_dataset("HausaNLP/Naija-Stopwords", "hau")
+
+```
+
+## Additional Information
+
+### Dataset Curators
+
+* Shamsuddeen Hassan Muhammad
+* Idris Abdulmumin
+* Ibrahim Said Ahmad
+* Bello Shehu Bello
+
+
+### Licensing Information
+
+This Naija-Stopwords dataset is licensed under a Creative Commons Attribution BY-NC-SA 4.0 International License
+
+
+
+
+### Citation Information
+
+```
+@inproceedings{muhammad-etal-2022-naijasenti,
+    title = "{N}aija{S}enti: A {N}igerian {T}witter Sentiment Corpus for Multilingual Sentiment Analysis",
+    author = "Muhammad, Shamsuddeen Hassan  and
+      Adelani, David Ifeoluwa  and
+      Ruder, Sebastian  and
+      Ahmad, Ibrahim Sa{'}id  and
+      Abdulmumin, Idris  and
+      Bello, Bello Shehu  and
+      Choudhury, Monojit  and
+      Emezue, Chris Chinenye  and
+      Abdullahi, Saheed Salahudeen  and
+      Aremu, Anuoluwapo  and
+      Jorge, Al{\'\i}pio  and
+      Brazdil, Pavel",
+    booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
+    month = jun,
+    year = "2022",
+    address = "Marseille, France",
+    publisher = "European Language Resources Association",
+    url = "https://aclanthology.org/2022.lrec-1.63",
+    pages = "590--602",
+}
+```
+
+
+### Contributions
+
+> This work was carried out with support from Lacuna Fund, an initiative co-founded by The Rockefeller Foundation, Google.org, and Canada’s International Development Research Centre. The views expressed herein do not necessarily represent those of Lacuna Fund, its Steering Committee, its funders, or Meridian Institute.