79 lines
3.9 KiB
Makefile
79 lines
3.9 KiB
Makefile
|
SHELL=/bin/bash
|
||
|
|
|
||
|
|
# no not delete intermediate files
|
||
|
|
.SECONDARY:
|
||
|
|
|
||
|
|
# the directory where the challenge will be created
|
||
|
|
output_directory=...
|
||
|
|
|
||
|
|
# let's define which files are necessary, other files will be created if needed;
|
||
|
|
# we'll compress the input files with xz and leave `expected.tsv` files uncompressed
|
||
|
|
# (but you could decide otherwise)
|
||
|
|
all: $(output_directory)/train/in.tsv.xz $(output_directory)/train/expected.tsv \
|
||
|
|
$(output_directory)/dev-0/in.tsv.xz $(output_directory)/dev-0/expected.tsv \
|
||
|
|
$(output_directory)/test-A/in.tsv.xz $(output_directory)/test-A/expected.tsv \
|
||
|
|
$(output_directory)/README.md \
|
||
|
|
$(output_directory)/in-header.tsv \
|
||
|
|
$(output_directory)/out-header.tsv
|
||
|
|
# always validate the challenge
|
||
|
|
geval --validate --expected-directory $(output_directory)
|
||
|
|
|
||
|
|
# we need to replace the default README.md, we assume that it
|
||
|
|
# is kept as challenge-readme.md in the repo with this Makefile;
|
||
|
|
# note that the title from README.md will be taken as the title of the challenge
|
||
|
|
# and the first paragraph — as a short description
|
||
|
|
$(output_directory)/README.md: challenge-readme.md $(output_directory)/config.txt
|
||
|
|
cp $< $@
|
||
|
|
|
||
|
|
# prepare header files (see above section on headers)
|
||
|
|
$(output_directory)/in-header.tsv: in-header.tsv $(output_directory)/config.txt
|
||
|
|
cp $< $@
|
||
|
|
|
||
|
|
$(output_directory)/out-header.tsv: out-header.tsv $(output_directory)/config.txt
|
||
|
|
cp $< $@
|
||
|
|
|
||
|
|
$(output_directory)/config.txt:
|
||
|
|
mkdir -p $(output_directory)
|
||
|
|
geval --init --expected-directory $(output_directory) --metric MAIN_METRIC --metric AUXILIARY_METRIC --precision N --gonito-host https://some.gonito.host.net
|
||
|
|
# `geval --init` will generate a toy challenge for a given metric(s)
|
||
|
|
# ... but we remove the `in/expected.tsv` files just in case
|
||
|
|
# (we will overwrite this with our data anyway)
|
||
|
|
rm -f $(output_directory)/{train,dev-0,test-A}/{in,expected}.tsv
|
||
|
|
rm $(output_directory)/{README.md,in-header.tsv,out-header.tsv}
|
||
|
|
|
||
|
|
# a "total" TSV containing all the data, we'll split it later
|
||
|
|
all-data.tsv.xz: prepare.py some-other-files
|
||
|
|
# the data are generated using your script, let's say prepare.py and
|
||
|
|
# some other files (of course, it depends on your task);
|
||
|
|
# the file will be compressed with xz
|
||
|
|
./prepare.py some-other-files | xz > $@
|
||
|
|
|
||
|
|
# and now the challenge files, note that they will depend on config.txt so that
|
||
|
|
# the challenge skeleton is generated first
|
||
|
|
|
||
|
|
# The best way to split data into train, dev-0 and test-A set is to do it in a random,
|
||
|
|
# but _stable_ manner, the set into which an item is assigned should depend on the MD5 sum
|
||
|
|
# of some field in the input data (a field unlikely to change). Let's assume
|
||
|
|
# that you created a script `filter.py` that takes as an argument a regular expression that will be applied
|
||
|
|
# to the MD5 sum (written in the hexadecimal format).
|
||
|
|
|
||
|
|
$(output_directory)/train/in.tsv.xz $(output_directory)/train/expected.tsv: all-data.tsv.xz filter.py $(output_directory)/config.txt
|
||
|
|
# 1. xzcat for decompression
|
||
|
|
# 2. ./filter.py will select 14/16=7/8 of items in a stable random manner
|
||
|
|
# 3. tee >(...) is Bash magic to fork the ouptut into two streams
|
||
|
|
# 4. cut will select the columns
|
||
|
|
# 5. xz will compress it back
|
||
|
|
xzcat $< | ./filter.py '[0-9abcd]$' | tee >(cut -f 1 > $(output_directory)/train/expected.tsv) | cut -f 2- | xz > $(output_directory)/train/in.tsv.xz
|
||
|
|
|
||
|
|
$(output_directory)/dev-0/in.tsv.xz $(output_directory)/dev-0/expected.tsv: all-data.tsv.xz filter.py $(output_directory)/config.txt
|
||
|
|
# 1/16 of items goes to dev-0 set
|
||
|
|
xzcat $< | ./filter.py 'e$' | tee >(cut -f 1 > $(output_directory)/dev-0/expected.tsv) | cut -f 2- | xz > $(output_directory)/dev-0/in.tsv.xz
|
||
|
|
|
||
|
|
$(output_directory)/test-A/in.tsv.xz $(output_directory)/test-A/expected.tsv: all-data.tsv.xz filter.py $(output_directory)/config.txt
|
||
|
|
# (other) 1/16 of items goes to test-A set
|
||
|
|
xzcat $< | ./filter.py 'f$' | tee >(cut -f 1 > $(output_directory)/test-A/expected.tsv) | cut -f 2- | xz > $(output_directory)/test-A/in.tsv.xz
|
||
|
|
|
||
|
|
# wiping out the challenge, if you are desperate
|
||
|
|
clean:
|
||
|
|
rm -rf $(output_directory)
|