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README.md

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 ### Dataset Summary
 
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-**FiNER-139** is comprised of 1.1M sentences annotated with **eXtensive Business Reporting Language (XBRL)** tags extracted from annual and quarterly reports of publicly-traded companies in the US. 
-Unlike other entity extraction tasks, like named entity recognition (NER) or contract element extraction, which typically require identifying entities of a small set of common types (e.g., persons, organizations), FiNER-139 uses a much larger label set of **139 entity types**. 
+<strong>FiNER-139</strong> is comprised of 1.1M sentences annotated with <strong>eXtensive Business Reporting Language (XBRL)</strong> tags extracted from annual and quarterly reports of publicly-traded companies in the US. 
+Unlike other entity extraction tasks, like named entity recognition (NER) or contract element extraction, which typically require identifying entities of a small set of common types (e.g., persons, organizations), FiNER-139 uses a much larger label set of <strong>139 entity types</strong>. 
 Another important difference from typical entity extraction is that FiNER focuses on numeric tokens, with the correct tag depending mostly on context, not the token itself.
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 To promote transparency among shareholders and potential investors, publicly traded companies are required to file periodic financial reports annotated with tags from the eXtensive Business Reporting Language (XBRL), an XML-based language, to facilitate the processing of financial information. 
 However, manually tagging reports with XBRL tags is tedious and resource-intensive. 
-We, therefore, introduce **XBRL tagging** as a **new entity extraction task** for the **financial domain** and study how financial reports can be automatically enriched with XBRL tags. 
+We, therefore, introduce <strong>XBRL tagging</strong> as a <strong>new entity extraction task</strong> for the <strong>financial domain</strong> and study how financial reports can be automatically enriched with XBRL tags. 
 To facilitate research towards automated XBRL tagging we release FiNER-139.
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