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Question Answering improvements - NQ3#419
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Timoeller
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code looks good + tested on accuracy benchmark
farm/data_handler/input_features.py
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| label_idxs = np.full((max_answers, 2), fill_value=-1) | ||
| answer_types = np.full((max_answers), fill_value=-1) | ||
| answer_types = np.full((1), fill_value=-1) |
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a single scalar value needs init?
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Rename samples to passages
Rename is_impossible to no_answer
Rename preds_p to preds
Add QAInferencer with type hints
Add check that label character index matches label str
span_to_string now a method of QACandidate
Better documentation of Prediction Objects