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datacards/curation.py

@@ -7,7 +7,34 @@ from .streamlit_utils import (
 N_FIELDS = 1
 
 def curation_page():
-    return None
+    st.session_state.card_dict["curation"] = st.session_state.card_dict.get("curation", {})
+    with st.expander("Original Curation", expanded=False):
+        key_pref = ["curation", "original"]
+        st.session_state.card_dict["curation"]["original"] = st.session_state.card_dict["curation"].get("original", {})
+
+    with st.expander("Language Data", expanded=False):
+        key_pref = ["curation", "language"]
+        st.session_state.card_dict["curation"]["language"] = st.session_state.card_dict["curation"].get("language", {})
+
+    with st.expander("Structured Annotations", expanded=False):
+        key_pref = ["curation", "annotations"]
+        st.session_state.card_dict["curation"]["annotations"] = st.session_state.card_dict["curation"].get("annotations", {})
+
+    with st.expander("Consent", expanded=False):
+        key_pref = ["curation", "consent"]
+        st.session_state.card_dict["curation"]["consent"] = st.session_state.card_dict["curation"].get("consent", {})
+
+    with st.expander("Personal and Sensitive information", expanded=False):
+        key_pref = ["curation", "pii"]
+        st.session_state.card_dict["curation"]["pii"] = st.session_state.card_dict["curation"].get("pii", {})
+
+    with st.expander("Maintenance", expanded=False):
+        key_pref = ["curation", "maintenance"]
+        st.session_state.card_dict["curation"]["maintenance"] = st.session_state.card_dict["curation"].get("maintenance", {})
+
+    with st.expander("GEM Curation", expanded=False):
+        key_pref = ["curation", "gem"]
+        st.session_state.card_dict["curation"]["gem"] = st.session_state.card_dict["curation"].get("gem", {})
 
 def curation_summary():
     return None

datacards/gem.py

@@ -25,7 +25,7 @@ def gem_page():
         key_pref = ["gem", "rationale"]
         st.session_state.card_dict["gem"]["rationale"] = st.session_state.card_dict["gem"].get("rationale", {})
         make_text_area(
-            label="Contribution toward better generation evaluation",
+            label="What does this dataset contribute toward better generation evaluation and why is it part of GEM?",
             key_list=key_pref + ["contribution"],
             help="Describe briefly what makes this dataset an interesting target for NLG evaluations and why it is part of GEM",
         )

datacards/overview.py

@@ -32,7 +32,7 @@ license_list = json.load(open(pjoin("resources", "licenses.json"), encoding="utf
 
 def overview_page():
     st.session_state.card_dict["overview"] = st.session_state.card_dict.get("overview", {})
-    with st.expander("Where to find", expanded=False):
+    with st.expander("Where to find the data and its documentation", expanded=False):
         key_pref = ["overview", "where"]
         st.session_state.card_dict["overview"]["where"] = st.session_state.card_dict["overview"].get("where", {})
         make_text_input(
@@ -107,12 +107,15 @@ def overview_page():
             label="What is the license of the dataset?",
             key_list=key_pref + ["license"],
             options=license_list,
-            help="select `other` if missing from list, `unkown` if not provided"
+            help="select `other` if missing from list, `unkown` if not provided."
         )
-        make_text_input(
+        make_selectbox(
             label="What primary task does the dataset support?",
             key_list=key_pref + ["task"],
-            help="[free text]",
+            options=["Simplification", "Summarization", "Paraphrasing", "Dialog",
+                     "Data-to-Text", "Style Transfer", "Text-to-Slide",
+                     "Question Generation", "Reasoning", "Content Transfer"],
+            help="Select `other` if the task is not included in the list.",
         )
         make_text_area(
             label="Provide a short description of the communicative goal of a model trained for this task on this dataset.",