base questions

datacards/context.py

@@ -24,6 +24,37 @@ def context_page():
             "context"
         ].get("social-impact", {})
 
+        make_text_area(
+            label="What tasks has this dataset been used for previously?",
+            key_list=key_pref + [""],
+            help="",
+        )
+
+        make_text_area(
+            label="Did any of these previous uses result in observations about the dataset?",
+            key_list=key_pref + [""],
+            help="",
+        )
+
+        make_text_area(
+            label="Have any changes been made to the dataset as a result of these observations?",
+            key_list=key_pref + [""],
+            help="",
+        )
+
+        make_text_area(
+            label="Task",
+            key_list=key_pref + [""],
+            help="",
+        )
+
+        make_text_area(
+            label="Dataset-specific",
+            key_list=key_pref + [""],
+            help="",
+        )
+
+
     with st.expander("Impact on Under-Served Communities", expanded=False):
         key_pref = ["context", "underserved"]
         st.session_state.card_dict["context"]["underserved"] = st.session_state.card_dict[
@@ -36,6 +67,30 @@ def context_page():
             "context"
         ].get("biases", {})
 
+        make_text_area(
+            label="Are there documented biases in the data?",
+            key_list=key_pref + [""],
+            help="",
+        )
+
+        make_text_area(
+            label="Link to analyses",
+            key_list=key_pref + [""],
+            help="",
+        )
+
+        make_text_area(
+            label="How does the distribution of language producers differ from a base distribution?",
+            key_list=key_pref + [""],
+            help="",
+        )
+
+        make_text_area(
+            label="Topic coverage?",
+            key_list=key_pref + [""],
+            help="",
+        )
+
 
 def context_summary():
     total_filled = sum(