Updated text, steps up to 'Go to basket'

images/0_menu.svg

+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<svg
+   height="10.666667"
+   width="16"
+   version="1.1"
+   id="svg11"
+   sodipodi:docname="0_menu.svg"
+   viewBox="5 0 20.999999 14"
+   inkscape:version="1.2.2 (b0a8486, 2022-12-01)"
+   xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+   xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+   xmlns="http://www.w3.org/2000/svg"
+   xmlns:svg="http://www.w3.org/2000/svg">
+  <defs
+     id="defs15" />
+  <sodipodi:namedview
+     id="namedview13"
+     pagecolor="#ffffff"
+     bordercolor="#666666"
+     borderopacity="1.0"
+     inkscape:showpageshadow="2"
+     inkscape:pageopacity="0.0"
+     inkscape:pagecheckerboard="0"
+     inkscape:deskcolor="#d1d1d1"
+     showgrid="false"
+     inkscape:zoom="21.395833"
+     inkscape:cx="16.194742"
+     inkscape:cy="12.105161"
+     inkscape:window-width="1689"
+     inkscape:window-height="1208"
+     inkscape:window-x="643"
+     inkscape:window-y="25"
+     inkscape:window-maximized="0"
+     inkscape:current-layer="svg11" />
+  <path
+     d="M 7.4999998,12.333333 V 10.999999 H 23.499999 v 1.333334 z m 0,-4.6666664 V 6.3333336 H 23.499999 v 1.333333 z m 0,-4.666667 V 1.6666666 H 23.499999 v 1.333333 z"
+     id="path9"
+     style="stroke-width:0.444444" />
+</svg>

tm_curation/curate_from_tm.md

@@ -11,14 +11,47 @@ For this excercise, we will use a set of ~37k entries transformed from a text mi
 
 The file can be [downloaded from here](https://webdav-r3lab.uni.lu/public/biocore/biokc/data/indra_biokc.tsv "download").
 
+A smaller version, having only 1k entries can be [downloaded from here](https://webdav-r3lab.uni.lu/public/biocore/biokc/data/indra_biokc_small.tsv "download").
+
 The file contains a table with the following columns:
-- **id**: the identifier of an entry
+- **id**: the identifier of an entry (PubMed ID)
 - **codes**: stable identifiers of molecules in this entry, separated with an `|` symbol
 - **literals**: names corresponding to the identifiers, separated with an `|` symbol
 - **sentence**: a sentence with the evidence for this entry
 
-## Step 1: Import the data set
+## Step 1: Import sentences from the data set
+
+0. Log in to [the BioKC](https://biokb.lcsb.uni.lu/)
+
+1. Open the import menu
+
+    1.1 Use the options icon (![menuicon](../images/0_menu.svg)) to open the main menu 
+
+	1.2 Choose "Import sentences"
+
+    ![login](../images/1_login_menu.png)
+
+2. Import sentences from a file
+    2.1 Choose the "indra_biokc.tsv" file
+
+	2.2 Explore sentences from the file are imported and shown in the area below
+
+	![import](../images/2_import.png)
+
+3. Filter by keywords
+    3.1 Type the keyword you want to filter entries by; this can be a publication identifier, molecule identifier or a term in the sentence.  
+	Important to note:
+	- text based searches are less precise ("tnf" query will have more results than "P01375")
+	- multiple keywords can be combined wtih space as a separator (e.g. "TNF IKK") 
+
+	3.2 Notice that the number of results is dynamically reduced
+
+	![filter](../images/3_filter_imported_sentences.png)
+
+4. Add entries to the "Curator's basket"
+    4.1 Select entries you want to curate; metadata is fetched for publication identifiers 
 
-![login](../images/1_login_menu.png)
+	4.2 Notice that data from selected entries is added to the "Curator's basket"
 
-![import](../images/2_import.png)
+    4.3 Click "Go to basket" to start curation using the selected entries
\ No newline at end of file
+	![go to basket](../images/4_select_basket.png)
\ No newline at end of file