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dict
{ "BATSMAN": "Player who faces the delivery", "BOWLER": "Player who bowls the delivery", "RUN_EVENT": "Outcome in terms of runs scored", "FIELD_POSITION": "Cricket field location mentioned in commentary" }
{ "bowls_to": [ "BOWLER", "BATSMAN" ], "scores_runs": [ "BATSMAN", "RUN_EVENT" ], "plays_towards": [ "BATSMAN", "FIELD_POSITION" ], "takes_wicket_of": [ "BOWLER", "BATSMAN" ] }

Cricket Narrative KG Dataset

Annotation & ontology for entity and relation extraction from cricket commentary

Dataset Info

  • Source: Kaggle
  • Original Size: 0.02 MB
  • Kaggle Downloads: 328
  • Files: 3

Files

  • CricketKG_NER_README.md
  • ner_annotations.csv
  • ontology.json

Mirrored from Kaggle

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