added dataset card

README.md

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+---
+language: 
+- om
+- am
+- rw
+- rn
+- ha
+- ig
+- pcm
+- so
+- sw
+- ti
+- yo
+- multilingual
+    
+license: "Apache License 2.0"
+---
+# Dataset Summary
+This is the corpus on which [AfriBERTa] (https://huggingface.co/castorini/afriberta_large) was trained on.
+The dataset contains 11 languages - Afaan Oromoo (also called Oromo), Amharic, Gahuza (a mixed language containing Kinyarwanda and Kirundi), Hausa, Igbo, Nigerian Pidgin, Somali, Swahili, Tigrinya and Yorùbá.
+The dataset is mostly from the BBC news website, but some languages also have data from Common Crawl.  
+
+
+# Supported Tasks and Leaderboards
+The AfriBERTa corpus was mostly intended to pre-train language models.
+
+
+# Load Dataset
+An example to load the train split of the Somali corpus:
+```
+dataset = load_dataset("castorini/afriberta", "somali", split="train")
+```
+
+An example to load the test split of the Pidgin corpus:
+```
+dataset = load_dataset("castorini/afriberta", "pidgin", split="test")
+```
+
+# Data Fields
+
+The data fields are:
+
+- id: id of the example
+- text: content as a string
+
+# Data Splits
+Each language has a train and test split, with varying sizes. 
+
+# Considerations for Using the Data
+
+## Discussion of Biases
+Since majority of the data is obtained from the BBC's news website, models trained on this dataset are likely going to 
+be biased towards the news domain.
+
+Also, since some of the data is obtained from Common Crawl, care should be taken (especially for text generation models) since personal and sensitive information might be present.
+
+# Citation Information
+```
+@inproceedings{ogueji-etal-2021-small,
+    title = "Small Data? No Problem! Exploring the Viability of Pretrained Multilingual Language Models for Low-resourced Languages",
+    author = "Ogueji, Kelechi  and
+      Zhu, Yuxin  and
+      Lin, Jimmy",
+    booktitle = "Proceedings of the 1st Workshop on Multilingual Representation Learning",
+    month = nov,
+    year = "2021",
+    address = "Punta Cana, Dominican Republic",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2021.mrl-1.11",
+    pages = "116--126",
+}
+```
+
+# Contributions
+Thanks to [keleog](https://github.com/keleog)