other licenses

datacards/considerations.py

@@ -48,9 +48,17 @@ def considerations_page():
                 "do not distribute",
                 "other",
             ],
-            key_list=key_pref + ["data-restrictions"],
+            key_list=key_pref + ["dataset-restrictions"],
             help="Does the license restrict how the dataset can be used?",
         )
+        if "other" in st.session_state.card_dict["considerations"]["licenses"].get("dataset-restrictions", []):
+            make_text_area(
+                label="You selected `other` for the dataset licensing status, please elaborate here:",
+                key_list=key_pref+["dataset-restrictions-other"]
+            )
+        else:
+            st.session_state.card_dict["considerations"]["licenses"]["dataset-restrictions-other"] = "N/A"
+
         make_multiselect(
             label="Based on your answers in the Language part of the Data Curation Section, which of the following best describe the copyright and licensing status of the underlying language data?",
             options=[
@@ -66,6 +74,13 @@ def considerations_page():
             key_list=key_pref + ["data-copyright"],
             help="For example if the dataset uses data from Wikipedia, we are asking about the status of Wikipedia text in general.",
         )
+        if "other" in st.session_state.card_dict["considerations"]["licenses"].get("data-copyright", []):
+            make_text_area(
+                label="You selected `other` for the source data licensing status, please elaborate here:",
+                key_list=key_pref+["data-copyright-other"]
+            )
+        else:
+            st.session_state.card_dict["considerations"]["licenses"]["data-copyright-other"] = "N/A"
 
     with st.expander("Known Technical Limitations", expanded=False):
         key_pref = ["considerations", "limitations"]

datacards/context.py

@@ -106,7 +106,7 @@ def context_summary():
         completion_markdown += (
             f"- **Overall completion:**\n  - {total_filled} of {N_FIELDS} fields\n"
         )
-        completion_markdown += f"- **Sub-section - Social Impact of the Dataset:**\n  - {len(st.session_state.card_dict.get('context', {}).get('previous', {}))} of {N_FIELDS_PREVIOUS} fields\n"
+        completion_markdown += f"- **Sub-section - Previous Work on the Social Impact of the Dataset:**\n  - {len(st.session_state.card_dict.get('context', {}).get('previous', {}))} of {N_FIELDS_PREVIOUS} fields\n"
         completion_markdown += f"- **Sub-section - Impact on Under-Served Communities:**\n  - {len(st.session_state.card_dict.get('context', {}).get('underserved', {}))} of {N_FIELDS_UNDERSERVED_COMMUNITIES} fields\n"
         completion_markdown += f"- **Sub-section - Discussion of Biases:**\n  - {len(st.session_state.card_dict.get('context', {}).get('biases', {}))} of {N_FIELDS_BIASES} fields\n"
         st.markdown(completion_markdown)