{
  "document_id": "lb_qasper_8861331a4438449d0fd62132eff72f24413fab1daf990780",
  "family": "public_qasper",
  "split": "test",
  "document_hash": "7fd854666c9cb5da39607f85cd14bc2858476b05f03f93737d5e1c32978d6f09",
  "questions": [
    {
      "question_id": "q00",
      "qtype": "qasper",
      "question": "What baseline model is used?",
      "answer": "For Article-Entity placement, they consider two baselines: the first one using only salience-based features, and the second baseline checks if the entity appears in the title of the article. \n\nFor Article-Section Placement, they consider two baselines: the first picks the section with the highest lexical similarity to the article, and the second one picks the most frequent section.",
      "aliases": [
        "B1. The first baseline uses only the salience-based features by Dunietz and Gillick BIBREF11 ., B2. The second baseline assigns the value relevant to a pair INLINEFORM0 , if and only if INLINEFORM1 appears in the title of INLINEFORM2 .\n\n, S1: Pick the section from template INLINEFORM0 with the highest lexical similarity to INLINEFORM1 : S1 INLINEFORM2, S2: Place the news into the most frequent section in INLINEFORM0"
      ],
      "answer_type": "qa_f1",
      "tolerance": 0.0,
      "supporting_fact_ids": [],
      "answer_position_frac": -1.0
    }
  ],
  "facts": []
}