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.gitignore

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+
+*~
+*.swp
+*.bak
+*.pyc
+*.o
+.DS_Store
+.token

README.md

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+FCE - Grammatical error detection
+===========================
+
+Detect errors in English text.
+
+This is a Gonito.net challenge based on data from https://ilexir.co.uk/datasets/index.html
+The aim of the challenge is to predict which tokens are incorrect.
+
+MultiLabel-F0.5 is used as the evaluation metric.
+
+Dataset reference:
+1) Compositional Sequence Labeling Models for Error Detection in Learner Writing
+Marek Rei and Helen Yannakoudakis
+In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016)
+
+2) A New Dataset and Method for Automatically Grading ESOL Texts
+Helen Yannakoudakis, Ted Briscoe and Ben Medlock
+In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-2011)
+
+## Directory structure
+
+* `README.md` — this file
+* `config.txt` — configuration file
+* `train/` — directory with training data
+* `train/in.tsv` — Original input text for the train set
+* `train/expected.tsv` — Incorrect token indexes. Indexes start from 1.
+* `dev-0/` — directory with dev data
+* `dev-0/in.tsv` — Original input text for the dev set
+* `dev-0/expected.tsv` — Incorrect token indexes. Indexes start from 1.
+* `test-A` — directory with test data
+* `test-A/in.tsv` — Original input text for the test set
+

config.txt

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+--metric Mean/MultiLabel-F0.5:N<Mean>N<F0.5> --metric MultiLabel-F0.5:P<2>N<Total>N<F0.5> --metric MultiLabel-F0.0:P<2>N<Precision> --metric MultiLabel-F99999.0:P<2>N<Recall>  --precision 4 -%