83 lines
2.8 KiB
Markdown
83 lines
2.8 KiB
Markdown
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CoNLL-2003 English Named Entity Recognition.
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======================================================
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NER challenge for CoNLL-2003 English.
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Annotations were taken from [University of Antwerp](https://www.clips.uantwerpen.be/conll2003/ner/).
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The English data is a collection of news wire articles from the [Reuters Corpus](https://trec.nist.gov/data/reuters/reuters.html), RCV1.
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Format of the train set
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-----------------------
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The train set has just two columns separated by TABs:
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* the expected BIO labels,
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* the docuemnt.
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Each line is a separate training item. Note that this is TSV format,
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not CSV, double quotes are not interpreted in a special way!
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Preprocessing snippet located [here](https://git.applica.pl/snippets/18)
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End-of-lines inside documents were replaced with the '</S>' tag.
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The train is compressed with the xz compressor, in order to see a
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random sample of 10 training items, run:
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xzcat train/train.tsv.xz | shuf -n 10 | less -S
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(The `-S` disables line wrapping, press "q" to exit `less` browser.)
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Format of the test sets
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-----------------------
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For the test sets, the input data is given in two files: the text in
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`in.tsv` and the expected labels in `expected.tsv`. (The files have
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`.tsv` extensions for consistency but actually they do not contain TABs.)
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To see the first 5 test items run:
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cat dev-0/in.tsv | paste dev-0/expected.tsv - | head -n 5
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The `expected.tsv` file for the `test-A` test set is hidden and is not
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available in the master branch.
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Format of the output files
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--------------------------
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For each input line, a probability for each label must be given:
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label1:prob1 label2:prob2 ... labelN:probN
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(The separator is space, *not* TAB here.)
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You are expected to suply `dev-0/out.tsv` and `test-A/out.tsv` in this
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format (the file has `.tsv` extension for consistency, but actually
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there should be no TAB there).
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Evaluation metrics
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------------------
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Two evaluation metrics are used:
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* Soft-F1 - a "softer" version of F1 in which overlap is also counted
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Directory structure
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-------------------
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* `README.md` — this file
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* `config.txt` — GEval configuration file
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* `train/` — directory with training data (15/16 of the original train set)
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* `train/train.tsv.xz` — train set
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* `train/meta.tsv` — metadata (the original ID of the document), do **not* use during training,
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this is just for reference (e.g. when you need to go back to the original document)
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* `dev-0/` — directory with dev (test) data (split preserved from CoNLL-2003)
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* `dev-0/in.tsv` — input data for the dev set
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* `dev-0/expected.tsv` — expected (reference) data for the dev set
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* `test-A` — directory with test data
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* `test-A/in.tsv` — input data for the test set
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* `test-A/expected.tsv` — expected (reference) data for the test set (hidden from the developers,
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not available in the `master` branch)
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Usually, there is no reason to change these files.
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