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README.md
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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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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
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