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@@ -215,7 +215,7 @@ dataset_info:
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  dataset_size: 6268493
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  ---
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- # Dataset Card for [Dataset Name]
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  ## Table of Contents
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  - [Table of Contents](#table-of-contents)
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  FabNER is a manufacturing text corpus of 350,000+ words for Named Entity Recognition.
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  It is a collection of abstracts obtained from Web of Science through known journals available in manufacturing process
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  science research.
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- For every word, there were categories/entity labels defined namely Material (MATE), Manufacturing Process (MANP),
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  Machine/Equipment (MACEQ), Application (APPL), Features (FEAT), Mechanical Properties (PRO), Characterization (CHAR),
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  Parameters (PARA), Enabling Technology (ENAT), Concept/Principles (CONPRI), Manufacturing Standards (MANS) and
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  BioMedical (BIOP). Annotation was performed in all categories along with the output tag in 'BIOES' format:
 
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  dataset_size: 6268493
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  ---
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+ # Dataset Card for FabNER
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  ## Table of Contents
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  - [Table of Contents](#table-of-contents)
 
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  FabNER is a manufacturing text corpus of 350,000+ words for Named Entity Recognition.
255
  It is a collection of abstracts obtained from Web of Science through known journals available in manufacturing process
256
  science research.
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+ For every word, there were categories/entity labels defined, namely Material (MATE), Manufacturing Process (MANP),
258
  Machine/Equipment (MACEQ), Application (APPL), Features (FEAT), Mechanical Properties (PRO), Characterization (CHAR),
259
  Parameters (PARA), Enabling Technology (ENAT), Concept/Principles (CONPRI), Manufacturing Standards (MANS) and
260
  BioMedical (BIOP). Annotation was performed in all categories along with the output tag in 'BIOES' format: