Create README.md

README.md

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+---
+language: 
+  - en
+tags:
+- transformers
+license: apache-2.0
+datasets:
+- dvitel/hearthstone
+metrics:
+- exact_match
+- bleu
+- dvitel/codebleu
+- chrf
+---
+
+Application of distilgpt2 to HearthStone card code synthesis. Dataset [dvitel/hearthstone](https://huggingface.co/datasets/dvitel/hearthstone) \
+Article under consideration: [Abstract Syntax Networks for Code Generation and Semantic Parsing](https://aclanthology.org/P17-1105.pdf) \
+We check if distilgpt2 could produce better results than ASNs from article. H0 model has minimal preprocessing of dataset where we normalize python code:
+
+```python
+def normalize(line:str):
+    return line.strip().replace("§", "\n").replace("    ", "\t").replace("\\ ", "").replace("\n\n", "\n")
+```