Update README.md

README.md

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 ### Dataset Summary
 
-[More Information Needed]
+**note** this data card was adapted from documentation provided by the dataset authors
+
+> Colonial archives are at the center of increased interest from a variety of perspectives, as they contain traces of historically marginalized people. Unfortunately, like most archives, they remain difficult to access due to significant persisting barriers. We focus here on one of them: the biases to be found in historical findings aids, such as indices of person names, which remain in use to this day. In colonial archives, indexes can perpetrate silences by omitting to include mentions of historically marginalized persons. In order to overcome such limitation and pluralize the scope of existing finding aids, we propose using automated entity recognition. To this end, we contribute a fit-for-purpose annotation typology and apply it on the colonial archive of the Dutch East India Company (VOC). We release a corpus of nearly 70,000 annotations as a shared task, for which we provide strong baselines using state-of-the-art neural network models.
 
 ### Supported Tasks and Leaderboards
 
-[More Information Needed]
+- named-entity-recognition: The dataset can be used to train a model for Named Entity Recognition.
 
 ### Languages