upload hub_repos/biomrc/README.md to hub from bigbio repo

README.md

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+
+---
+language: 
+- en
+license: unknown
+license_bigbio_shortname: UNKNOWN
+pretty_name: BIOMRC
+---
+
+
+# Dataset Card for BIOMRC
+
+## Dataset Description
+
+- **Homepage:** https://github.com/PetrosStav/BioMRC_code
+- **Pubmed:** True
+- **Public:** True
+- **Tasks:** Question Answering
+
+
+We introduce BIOMRC, a large-scale cloze-style biomedical MRC dataset. Care was taken to reduce noise, compared to the
+previous BIOREAD dataset of Pappas et al. (2018). Experiments show that simple heuristics do not perform well on the
+new dataset and that two neural MRC models that had been tested on BIOREAD perform much better on BIOMRC, indicating
+that the new dataset is indeed less noisy or at least that its task is more feasible. Non-expert human performance is
+also higher on the new dataset compared to BIOREAD, and biomedical experts perform even better. We also introduce a new
+BERT-based MRC model, the best version of which substantially outperforms all other methods tested, reaching or
+surpassing the accuracy of biomedical experts in some experiments. We make the new dataset available in three different
+sizes, also releasing our code, and providing a leaderboard.
+
+
+
+## Citation Information
+
+```
+@inproceedings{pappas-etal-2020-biomrc,
+    title = "{B}io{MRC}: A Dataset for Biomedical Machine Reading Comprehension",
+    author = "Pappas, Dimitris  and
+      Stavropoulos, Petros  and
+      Androutsopoulos, Ion  and
+      McDonald, Ryan",
+    booktitle = "Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing",
+    month = jul,
+    year = "2020",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/2020.bionlp-1.15",
+    pages = "140--149",
+}
+
+```