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spb/wp30_uqo

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770 B · 22 lines json
1{2  "document_id": "lb_qasper_c509e3bda123ac08967781ad78a55a157b876e9d0aa97adc",3  "family": "public_qasper",4  "split": "test",5  "document_hash": "f5b05f655f3cfb57c8f0bc071aca8bd9bdbd48f54e299d4a7610cd321a6b60f6",6  "questions": [7    {8      "question_id": "q00",9      "qtype": "qasper",10      "question": "What other sentence embeddings methods are evaluated?",11      "answer": "GloVe, BERT, Universal Sentence Encoder, TF-IDF, InferSent",12      "aliases": [13        "Avg. GloVe embeddings, Avg. fast-text embeddings, Avg. BERT embeddings, BERT CLS-vector, InferSent - GloVe and Universal Sentence Encoder."14      ],15      "answer_type": "qa_f1",16      "tolerance": 0.0,17      "supporting_fact_ids": [],18      "answer_position_frac": -1.019    }20  ],21  "facts": []22}
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