Update README.md

README.md

@@ -35,13 +35,29 @@
 
 ### Dataset Summary
 
-Machine translation research has traditionally placed an outsized focus on a limited number of languages - mostly belonging to the Indo-European family. Progress for many languages, some with millions of speakers, has been held back by data scarcity issues. An inspiring recent trend has been the increased attention paid to low-resource languages. However, these modeling efforts have been hindered by the lack of high quality, standardized evaluation benchmarks.
+This dataset was created based on [metadata](https://github.com/facebookresearch/LASER/tree/main/data/wmt22_african) for mined bitext released by Meta AI.  It contains bitext for 248 pairs for the African languages that are part of the [2022 WMT Shared Task on Large Scale Machine Translation Evaluation for African Languages](https://www.statmt.org/wmt22/large-scale-multilingual-translation-task.html).
+
+#### How to use the data
+
+There are two ways to access the data:
+
+* Via the Hugging Face Python datasets library 
+
+```
+from datasets import load_dataset
+dataset = load_dataset("allenai/wmt22_african")
+```
+
+* Clone the git repo
+```
+git lfs install
+git clone https://huggingface.co/datasets/allenai/wmt22_african
+```
 
-For the second edition of the Large-Scale MT shared task, we aim to bring together the community on the topic of machine translation for a set of 24 African languages. We do so by introducing a high quality benchmark, paired with a fair and rigorous evaluation procedure.
 
 ### Supported Tasks and Leaderboards
 
-[Needs More Information]
+This dataset is one of resources allowed under the Constrained Track for the [2022 WMT Shared Task on Large Scale Machine Translation Evaluation for African Languages](https://www.statmt.org/wmt22/large-scale-multilingual-translation-task.html).
 
 ### Languages
 
@@ -78,6 +94,8 @@ Colonial linguae francae: English - eng, French - fra
 
 ## Dataset Structure
 
+The dataset contains gzipped tab delimited text files for each direction.  Each text file contains lines with parallel sentences.
+
 ### Data Instances
 
 The dataset contains 248 language pairs.
@@ -354,33 +372,33 @@ Example:
 ```
 ### Data Splits
 
-[Needs More Information]
+The data is not split into train, dev, and test.
 
 ## Dataset Creation
 
 ### Curation Rationale
 
-[Needs More Information]
+Parallel sentences from monolingual data in Common Crawl and ParaCrawl were identified via [Language-Agnostic Sentence Representation (LASER)](https://github.com/facebookresearch/LASER) encoders.
 
 ### Source Data
 
 #### Initial Data Collection and Normalization
 
-[Needs More Information]
+Monolingual data was obtained from Common Crawl and ParaCrawl.
 
 #### Who are the source language producers?
 
-[Needs More Information]
+Contributors to web text in Common Crawl and ParaCrawl.
 
 ### Annotations
 
 #### Annotation process
 
-The metadata for creation can be found here: https://github.com/facebookresearch/LASER/tree/main/data/wmt22_african
+The data was not human annotated. The metadata used to create the dataset can be found here: https://github.com/facebookresearch/LASER/tree/main/data/wmt22_african
 
 #### Who are the annotators?
 
-[Needs More Information]
+The data was not human annotated.  Parallel text from Common Crawl and Para Crawl monolingual data were identified automatically via [LASER](https://github.com/facebookresearch/LASER) encoders. 
 
 ### Personal and Sensitive Information
 
@@ -390,11 +408,11 @@ The metadata for creation can be found here: https://github.com/facebookresearch
 
 ### Social Impact of Dataset
 
-[Needs More Information]
+This dataset provides data for training machine learning systems for many languages that have low resources available for NLP.
 
 ### Discussion of Biases
 
-[Needs More Information]
+Biases in the data have not been studied.
 
 ### Other Known Limitations
 
@@ -412,4 +430,4 @@ We are releasing this dataset under the terms of [CC-BY-NC](https://github.com/f
 
 ### Citation Information
 
-[Needs More Information]
+Forthcoming research paper that describes the approach used to create the metadata.  Citation Information will be updated with the paper information when that is available.