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README.md
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@@ -9,4 +9,16 @@ Model trained on chess "narratives" created from PGN notation from a large set o
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* "White/Black moves X from Y" // X is the piece (pawn, bishop, knight, rook, queen, king) and Y is the square (e.g. e2)
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* "The game begins as white uses the X opening" // X is a known opening move such as Sicilian
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* "White moves X from" // X is the piece (pawn, bishop, knight, rook, queen, king)
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* "Black moves X from" // X is the piece (pawn, bishop, knight, rook, queen, king)
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* "White/Black moves X from Y" // X is the piece (pawn, bishop, knight, rook, queen, king) and Y is the square (e.g. e2)
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* "The game begins as white uses the X opening" // X is a known opening move such as Sicilian
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* "White moves X from" // X is the piece (pawn, bishop, knight, rook, queen, king)
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* "Black moves X from" // X is the piece (pawn, bishop, knight, rook, queen, king)
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# Citation:
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```
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@misc{feldman2020navigating,
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title={Navigating Human Language Models with Synthetic Agents},
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author={Philip Feldman and Antonio Bucchiarone},
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year={2020},
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eprint={2008.04162},
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archivePrefix={arXiv},
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primaryClass={cs.AI}
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}
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```
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