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add draft of readme.md

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  ---
 
 
 
 
 
 
 
 
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  license: mit
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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+
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+ tags:
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+ - pytorch
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+ - ner
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+ - qa
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+
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  license: mit
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+
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+ datasets:
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+ - conll2003
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+
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+ metrics:
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+ - f1
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  ---
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+ # t5-base-qa-ner-conll
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+
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+ Unofficial implementation of [InstructionNER](https://arxiv.org/pdf/2203.03903v1.pdf).
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+ t5-base model tuned on conll2003 dataset.
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+
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+ https://github.com/ovbystrova/InstructionNER
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+
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+ ## Prediction Sample
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+ ```
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+ Sentence: The protest , which attracted several thousand supporters , coincided with the 18th anniversary of Spain 's constitution .
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+ Instruction: please extract entities and their types from the input sentence, all entity types are in options
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+ Options: ORG, PER, LOC
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+
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+ Prediction (raw text): Spain is a LOC.
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+ ```
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+