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IR Data Sets within docker volume

In order to provide reproducibility of IR experiments you can run it within
docker containers. This repository provides some data sets within single
container which you can attach to your own containers.

Now, this image includes following raw datasets:
LISA, NPL, CACM, CISI, Cranfield, Time, Medline, Adi.

All DataSets pulled from
ir.dcs.gla.ac.uk

All datasets located in /usr/data/ in separate folders.

As a base image used ubuntu:10.04 because it is smallest available.

Result container size is about 210 MB, ubuntu:10.04 is about 183 MB.

Usage

Build is simple as:

git clone https://github.com/krasnobaev/docker-irdatasets.git
cd docker-irdatasets
docker build -t krasnobaev/irdatasets .

Or, instead you can pull latest automatically builded image from
docker.com:

docker pull krasnobaev/irdatasets

Now you should start container as a Data Volume Container:

docker run -d -v /usr/data --name irds -t krasnobaev/irdatasets \
echo DataSets for IR experiments

After that, attach volume to your application:

docker run -i --volumes-from irds -t ubuntu ls -l /usr/data/

ToDo

  1. Provide some parser and scripts to convert datasets to some common
    data formats, like XML or JSON.
  2. Include some other datasets.
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krasnobaev
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