Question Answering for TF trainer (#4320)
* Add QA trainer example for TF * Make data_dir optional * Fix parameter logic * Fix feature convert * Update the READMEs to add the question-answering task * Apply style * Change 'sequence-classification' to 'text-classification' and prefix with 'eval' all the metric names * Apply style * Apply style
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@@ -20,6 +20,7 @@ This is still a work-in-progress – in particular documentation is still sparse
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| [`text-classification`](./text-classification) | GLUE, XNLI | ✅ | ✅ | ✅ | [](https://colab.research.google.com/github/huggingface/blog/blob/master/notebooks/trainer/01_text_classification.ipynb) | [](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure%2Fazure-quickstart-templates%2Fmaster%2F101-storage-account-create%2Fazuredeploy.json) |
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| [`token-classification`](./token-classification) | CoNLL NER | ✅ | ✅ | ✅ | - | - |
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| [`multiple-choice`](./multiple-choice) | SWAG, RACE, ARC | ✅ | ✅ | - | [](https://colab.research.google.com/github/ViktorAlm/notebooks/blob/master/MPC_GPU_Demo_for_TF_and_PT.ipynb) | - |
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| [`question-answering`](./question-answering) | SQuAD | - | ✅ | - | - | - |
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