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@@ -127,8 +127,8 @@ The dataset was curated by [Loukas et al. (2022)](https://arxiv.org/abs/2203.064
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  FiNER-139 is compiled from approx. 10k annual and quarterly English reports (filings) of publicly traded companies downloaded from the [US Securities
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- and Exchange Commission's (SEC)](https://www.sec.gov/) [Electronic Data Gathering, Analysis, and Retrieval (EDGAR)](https://www.sec.gov/edgar.shtml) system. <br>
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- The reports span a 5-year period, from 2016 to 2020. They are annotated with XBRL tags by professional auditors and describe the performance and projections of the companies. XBRL defines approx. 6k entity types from the US-GAAP taxonomy. FiNER-139 is annotated with the 139 most frequent XBRL entity types with at least 1,000 appearances. <br>
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  We used regular expressions to extract the text notes from the Financial Statements Item of each filing, which is the primary source of XBRL tags in annual and quarterly reports. We used the <strong>IOB2</strong> annotation scheme to distinguish tokens at the beginning, inside, or outside of tagged expressions, which leads to 279 possible token labels.
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- All the examples were annotated by professional auditors as required by the Securities & Exchange Commission (SEC) legislation. <br>
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  Even though the gold XBRL tags come from professional auditors there are still some discrepancies. [Loukas et al. (2022)](https://arxiv.org/abs/2203.06482), Section 9.4 Annotation inconsistencies for more details
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  FiNER-139 is compiled from approx. 10k annual and quarterly English reports (filings) of publicly traded companies downloaded from the [US Securities
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+ and Exchange Commission's (SEC)](https://www.sec.gov/) [Electronic Data Gathering, Analysis, and Retrieval (EDGAR)](https://www.sec.gov/edgar.shtml) system.
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+ The reports span a 5-year period, from 2016 to 2020. They are annotated with XBRL tags by professional auditors and describe the performance and projections of the companies. XBRL defines approx. 6k entity types from the US-GAAP taxonomy. FiNER-139 is annotated with the 139 most frequent XBRL entity types with at least 1,000 appearances.
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  We used regular expressions to extract the text notes from the Financial Statements Item of each filing, which is the primary source of XBRL tags in annual and quarterly reports. We used the <strong>IOB2</strong> annotation scheme to distinguish tokens at the beginning, inside, or outside of tagged expressions, which leads to 279 possible token labels.
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  </div>
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+ All the examples were annotated by professional auditors as required by the Securities & Exchange Commission (SEC) legislation.
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  Even though the gold XBRL tags come from professional auditors there are still some discrepancies. [Loukas et al. (2022)](https://arxiv.org/abs/2203.06482), Section 9.4 Annotation inconsistencies for more details
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  </div>
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