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    <responseDate>2026-10-13T06:23:19Z</responseDate>
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    <identifier>10.57760/sciencedb.j00133.00414</identifier>
    <datestamp>2024-12-12T17:02:36Z</datestamp>
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  <dc:date>2024-12-12</dc:date>
  <dc:title>Chinese Financial Announcements</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00133.00414</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The ChFinAnn dataset is a publicly available financial event dataset that includes five types of financial events: Equity Freeze, Equity Pledge, Equity Repurchase, Equity Overweight, and Equity Underweight. This dataset consists of 32040 samples and 48000 event records, of which approximately 29% of the documents contain more than one record. In addition, 98% of the records have arguments scattered across different sentences, which poses additional challenges for event extraction. This dataset was built to support document level event extraction asks, particularly in the financial field. It is not only large in scale, but also has the characteristics of multi event recording and argument dispersion, which make it a valuable resource for researching document level event extraction.</dc:description>
  <dc:subject>Documentation level; Financial sector; Event extraction</dc:subject>
  <dc:creator>li ze long</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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