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  Trained on the SQuAD v1.1 dataset from the MRQA Shared Task. The public dev set was divided into two: one for dev and one for test.
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- Dev results:
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  "eval_exact_match": 88.15914715400723,
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  "eval_f1": 93.91715796563734,
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  "eval_samples": 5291
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- Test results:
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  "test_exact_match": 86.52455272173582,
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  "test_f1": 92.92134442432088
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  "predict_samples": 5294
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- More info in the paper: MetaQA: Combining Expert Agents for Multi-Skill Question Answering
 
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  https://arxiv.org/abs/2112.01922
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+ ---
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+ language:
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+ - en
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+ tags:
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+ - question-answering
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+ - qa
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+ license: "apache-2.0"
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+ datasets:
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+ - squad
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+ metrics:
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+ - squad
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+ ---
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+ # Description
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  Trained on the SQuAD v1.1 dataset from the MRQA Shared Task. The public dev set was divided into two: one for dev and one for test.
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+ # Dev results:
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  "eval_exact_match": 88.15914715400723,
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  "eval_f1": 93.91715796563734,
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  "eval_samples": 5291
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+ # Test results:
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  "test_exact_match": 86.52455272173582,
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  "test_f1": 92.92134442432088
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  "predict_samples": 5294
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+ More info in the paper:
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+ **MetaQA: Combining Expert Agents for Multi-Skill Question Answering**
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  https://arxiv.org/abs/2112.01922