Merge pull request #703 from rbroc/master

small fixes to docs

docs/cli/usage.md

@@ -3,25 +3,24 @@
 This assumes that you are using the Docker Container.
 Docker commands for _neuroscout-cli_ will always being with:
 
-    docker run -it
+    docker run -it --rm
 
 Assuming you've already created an analysis on neuroscout.org, and have its analysis id (e.g.: `5xH93`), you can run it in one line:
 
-    docker run -it neuroscout/neuroscout-cli run /outdir 5xH93
+    docker run -it --rm neuroscout/neuroscout-cli run /out 5xH93
 
 Neuroscout will download the necessary images, analysis bundle, and fit your model.
 
 ## Mounting Volumes
 
-Most likely, you'll want to mount at least two volumes , in order to cache input data (`/data`), and inspect output results (`/out`)
+Most likely, you'll want to mount at least two volumes, in order to cache input data (`/work`), and inspect output results (`/out`). 
 
 In this example, we mount both of these directories to local volumes:
 
-    docker run -it -v /local/datadir:/data -v /local/outdir:/out neuroscout/neuroscout-cli run /out 5xH937f
-
-The necessary dataset will be downloaded to your local volume (`/local/datadir`), and next time you run a model with the same dataset, it will not need to re-download the fMRI data.
-The model-fitting outputs will also be locally saved at `/local/outdir`.
+    docker run -it --rm -v /local/datadir:/work -v /local/outdir:/out neuroscout/neuroscout-cli run /out 5xH937f
 
+In this command, the path preceding `:/work` specifies the directory where the data will be stored (i.e. your local volume `/local/datadir`). The next time you run a model with the same dataset, it will not need to re-download the fMRI data. The path preceding `:/out` specifies the directory where the model-fitting outputs will be saved (`/local/outdir`). </br>
+Note that you need to specify **absolute paths** for both directories.
 
 ## Command-Line Arguments
 

neuroscout/config/datasets/ds001545.json

@@ -2,7 +2,7 @@
   "LearningTemporalStructure": {
     "preproc_address": "https://github.com/neuroscout-datasets/LearningTemporalStructure.git",
     "path": "/datasets/raw/ds001545/",
-    "summary": "Passiving watching of three clips from the movie 'The Grand Budapest Hotel', six times each",
+    "summary": "Passive watching of three clips from the movie 'The Grand Budapest Hotel', six times each",
     "url": "https://openneuro.org/datasets/ds001545",
     "tasks": {
       "movie": {