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Model cards update - #136
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| "dataset": "The TransformerQA model was fine-tuned on SQuAD train set. | ||
| The underlying BERT model was pretrained on BooksCorpus (800M words) (Zhu et al.,2015) | ||
| and English Wikipedia (2,500M words).", | ||
| "motivation": "For the pretrained BERT model, document-level corpora were used rather than a shuffled sentence-level corpus | ||
| such as the Billion Word Benchmark (Chelba et al., 2013) in order to extract long contiguous sequences", | ||
| "preprocessing": "For the pretrained BERT model, only the text passages were extracted from English Wikipedia; | ||
| lists, tables, and headers were ignored.", |
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If we want to show this in the demo, we'll need a way to embed links and other simple markup in this text. I wonder how @jonborchardt feels about parsing Markdown? :-P
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we should fully embrace using markdown where it makes sense
there is no issue displaying it in the ui
that being said, im not sure what uses these fields right now.. but md support currently does not exist in the allennlp demo
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In the email I just sent, I am also proposing that we support latex and images. 😅
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Added a json template to easily fill in model card information.
Also partially updated the information for TransformerQA (RC) model.