Update README and pipeline help

README.md

@@ -5,18 +5,13 @@ This software implements a heavily parallelized pipeline for Natural Language Pr
 ## Software used in this pipeline implementation
 - Official Debian Docker image (buster-slim) and programs from its free repositories: https://hub.docker.com/_/debian
 - pyFlow (1.1.20): https://github.com/Illumina/pyflow/releases/tag/v1.1.20
-- spaCy (3.0.3): https://github.com/tesseract-ocr/tesseract/releases/tag/4.1.1
+- spaCy (3.0.5): https://github.com/tesseract-ocr/tesseract/releases/tag/4.1.1
 - spaCy medium sized models (3.0.0):
-  - https://github.com/explosion/spacy-models/releases/tag/da_core_news_md-3.0.0
   - https://github.com/explosion/spacy-models/releases/tag/de_core_news_md-3.0.0
-  - https://github.com/explosion/spacy-models/releases/tag/el_core_news_md-3.0.0
   - https://github.com/explosion/spacy-models/releases/tag/en_core_web_md-3.0.0
-  - https://github.com/explosion/spacy-models/releases/tag/es_core_news_md-3.0.0
-  - https://github.com/explosion/spacy-models/releases/tag/fr_core_news_md-3.0.0
   - https://github.com/explosion/spacy-models/releases/tag/it_core_news_md-3.0.0
   - https://github.com/explosion/spacy-models/releases/tag/nl_core_news_md-3.0.0
-  - https://github.com/explosion/spacy-models/releases/tag/pt_core_news_md-3.0.0
+  - https://github.com/explosion/spacy-models/releases/tag/pl_core_news_md-3.0.0
-  - https://github.com/explosion/spacy-models/releases/tag/ru_core_news_md-3.0.0
   - https://github.com/explosion/spacy-models/releases/tag/zh_core_web_md-3.0.0
 
 
@@ -29,7 +24,7 @@ mkdir -p /<my_data_location>/input /<my_data_location>/output
 
 2. Place your text files inside `/<my_data_location>/input`. Files should all contain text of the same language.
 
-3. Start the pipeline process. Check the [Pipeline arguments](#pipeline-arguments) section for more details.
+3. Start the pipeline process. Check the pipeline help (`nlp --help`) for more details.
 ```
 # Option one: Use the wrapper script
 ## Install the wrapper script (only on first run). Get it from https://gitlab.ub.uni-bielefeld.de/sfb1288inf/nlp/-/raw/1.0.0/wrapper/nlp, make it executeable and add it to your ${PATH}
@@ -51,38 +46,3 @@ docker run \
 ```
 
 4. Check your results in the `/<my_data_location>/output` directory.
-```
-
-### Pipeline arguments
-
-`--check-encoding`
-* If set, the pipeline tries to automatically determine the right encoding for
-your texts. Only use it if you are not sure that your input is provided in UTF-8.
-* default = False
-* required = False
-
-`-l languagecode`
-* Tells spaCy which language will be used.
-* options = da (Danish), de (German), el (Greek), en (English), es (Spanish), fr (French), it (Italian), nl (Dutch), pt (Portuguese), ru (Russian), zh (Chinese)
-* required = True
-
-`--nCores corenumber`
-* Sets the number of CPU cores being used during the NLP process.
-* default = min(4, multiprocessing.cpu_count())
-* required = False
-
-``` bash
-# Example with all arguments used
-docker run \
-    --rm \
-    -it \
-    -u $(id -u $USER):$(id -g $USER) \
-    -v "$HOME"/ocr/input:/input \
-    -v "$HOME"/ocr/output:/output \
-    gitlab.ub.uni-bielefeld.de:4567/sfb1288inf/nlp:1.0.0 \
-        -i /input \
-        -l en \
-        -o /output \
-        --check-encoding \
-        --nCores 8 \
-```

nlp

@@ -156,7 +156,7 @@ def parse_args():
                         type=int)
     parser.add_argument('--n-cores',
                         default=min(4, multiprocessing.cpu_count()),
-                        help='Number of CPU threads to be used',
+                        help='Number of CPU threads to be used (Default: min(4, number of CPUs))',
                         type=int)
     parser.add_argument('--zip',
                         help='Create one zip file per filetype')