Update README.md

README.md

@@ -6,13 +6,15 @@ python3 run.py search  --repo jass/osirrc2019 --collection robust04 --topic topi
 -->
 # OSIRRC Docker Image for JASS
 [![Generic badge](https://img.shields.io/badge/DockerHub-go%21-yellow.svg)](https://hub.docker.com/r/osirrc2019/jass)
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3247163.svg)](https://doi.org/10.5281/zenodo.3247163)
 
 [**Andrew Trotman**](https://github.com/andrewtrotman)
 
 This readme is heavily based (i.e. copied from) the Anserini readme.
 
 This is the docker image for [JASS](https://github.com/andrewtrotman/JASSv2/tree/master/JASSv1) conforming to the [OSIRRC jig](https://github.com/osirrc/jig/) for the [Open-Source IR Replicability Challenge (OSIRRC) at SIGIR 2019](https://osirrc.github.io/osirrc2019/).
-This image is has been tested with the jig at commit [ca31987](https://github.com/osirrc/jig/commit/ca3198704795f2b6de8b78ed7a66bbdf1dccadb1) (6/5/2019).
+This image is available on [Docker Hub](https://hub.docker.com/r/osirrc2019/jass).
+The [OSIRRC 2019 image library](https://github.com/osirrc/osirrc2019-library) contains a log of successful executions of this image.
 
 JASS is not a fully stand along search system.  It is just the search engine.  It relies on [ATIRE](http://atire.org) for indexing and other services.  As JASS has been forked several times, this is the verson seen in the [JASSv2](https://github.com/andrewtrotman/JASSv2) repo.
 
@@ -29,7 +31,13 @@ python3 run.py prepare \
   --tag v0.1.0 \
   --collections robust04=/path/to/disk45=trectext
 ```
-e.g. ```python3 run.py prepare --repo jass/osirrc2019 --collections robust04=/Users/andrew/programming/JASSv2/docker/osirrc2019/robust04=trectext```
+
+For example:
+
+```
+python3 run.py prepare --repo jass/osirrc2019 \
+ --collections robust04=/Users/andrew/programming/JASSv2/docker/osirrc2019/robust04=trectext
+```
 
 The following `jig` command can be used to perform a retrieval run on the collection with the `robust04` test collection.
 
@@ -43,7 +51,13 @@ python3 run.py search \
   --top_k 100"
 ```
 
-e.g. ```python3 run.py search   --repo jass/osirrc2019 --collection robust04 --topic topics.robust04.301-450.601-700.txt --top_k 100 --output /Users/andrew/programming/osirrc2019/jass-docker/output --qrels qrels/qrels.robust2004.txt```
+For example:
+
+```
+python3 run.py search --repo jass/osirrc2019 --collection robust04 \
+ --topic topics.robust04.301-450.601-700.txt --top_k 100 \
+ --output /Users/andrew/programming/osirrc2019/jass-docker/output --qrels qrels/qrels.robust2004.txt
+```
 
 ## Retrieval Methods
 This instance of JASS uses BM25 from ATIRE with the defailt parameters.  JASS requires an impact ordered index which is generated by ATIRE then converted into the [JASS index format](https://github.com/andrewtrotman/JASSv2/wiki/JASSv1)