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More work on scorer

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This commit is contained in:
William Jeynes
2026-02-18 20:44:14 +00:00
parent a2cb93b44e
commit dee9973c2a
3 changed files with 127 additions and 32 deletions
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supporting/scorer/.streamlit/config.toml
+2
View File
@@ -0,0 +1,2 @@
[theme]
base="light"
supporting/scorer/display.py
+122 -29
View File
@@ -29,16 +29,18 @@ def load_data(file_path):
return data
def save_data(file_path, data):
"""Save the updated data back to JSONL file."""
with open(file_path, "w", encoding="utf-8") as f:
for entry in data:
for o in entry.get("output", []):
if "content_parsed" in o:
o["content"] = json.dumps(o["content_parsed"], ensure_ascii=False)
o["content"] = json.dumps(
o["content_parsed"],
ensure_ascii=False
)
f.write(json.dumps(entry, ensure_ascii=False) + "\n")
# --------------------------
# Initialize session state
# Session State Init
# --------------------------
if "data" not in st.session_state:
st.session_state.data = load_data(DATA_FILE)
@@ -46,35 +48,49 @@ if "data" not in st.session_state:
if "current_claim" not in st.session_state:
st.session_state.current_claim = None
if "drag_order" not in st.session_state:
st.session_state.drag_order = None
st.set_page_config(
page_title="Claim Visualizer",
layout="wide",
initial_sidebar_state="expanded"
)
st.title("Claim Visualizer")
# --------------------------
# Sidebar
# --------------------------
view = st.sidebar.selectbox("Choose View", ["All Claims", "Single Claim Random"])
view = st.sidebar.selectbox(
"Choose View",
["All Claims", "Single Claim Random", "View Rules"]
)
# --------------------------
# All Claims View
# ALL CLAIMS VIEW
# --------------------------
if view == "All Claims":
st.header("All Claims")
for entry in st.session_state.data:
st.subheader(f"{entry.get('text')}")
st.subheader(entry.get("text"))
for o in entry.get("output", []):
for c in o.get("content_parsed", []):
st.markdown(f"**Event:** {c.get('event')}")
st.markdown(f"**Reasoning:** {c.get('reasoningWhyRelevant')}")
st.markdown(f"**Score:** {c.get('score')}")
st.markdown(f"**Human Score:** {c.get('human_score')}")
st.markdown(f"**Extra Info:** {c.get('extra_info', '')}")
st.markdown("---")
# --------------------------
# Single Claim Random View (Ranking Based)
# SINGLE CLAIM RANDOM VIEW
# --------------------------
elif view == "Single Claim Random":
# Select an entry that still has unscored items
elif view == "Single Claim Random":
# Select new entry if needed
if st.session_state.current_claim is None:
unscored_entries = []
for entry in st.session_state.data:
@@ -93,6 +109,7 @@ elif view == "Single Claim Random":
if unscored_entries:
st.session_state.current_claim = random.choice(unscored_entries)
st.session_state.drag_order = None
else:
st.session_state.current_claim = None
@@ -106,43 +123,119 @@ elif view == "Single Claim Random":
st.subheader(entry.get("text"))
st.write("Rank events (1 = best / most relevant)")
# --------------------------
# Stable Drag IDs (FIX)
# --------------------------
rankings = []
claim_ids = [str(i) for i in range(len(claims))]
# Initialize order only once
if (
st.session_state.drag_order is None
or len(st.session_state.drag_order) != len(claim_ids)
):
st.session_state.drag_order = claim_ids.copy()
ordered_indices = [
int(i) for i in st.session_state.drag_order
]
# --------------------------
# Annotation Section
# --------------------------
st.subheader("Annotate Events")
for pos, idx in enumerate(ordered_indices):
c = claims[idx]
with st.container(border=True):
# Collect rankings
for i, c in enumerate(claims):
st.markdown(f"### Event {i+1}")
st.markdown(f"**Event:** {c.get('event')}")
st.markdown(f"**Reasoning:** {c.get('reasoningWhyRelevant')}")
rank = st.number_input(
f"Rank for event {i+1}",
min_value=1,
max_value=len(claims),
key=f"rank_{i}"
st.markdown(
f"**Reasoning:** {c.get('reasoningWhyRelevant')}"
)
rankings.append((c, rank))
cols = st.columns(5)
temp = ""
with cols[0]:
a = st.checkbox("Rewording", key = "R" + str(idx) + c.get('event') )
temp += "REWORDING " if a else ""
with cols[1]:
a = st.checkbox("Not Specific", key = "S" + str(idx) + c.get('event') )
temp += "NSPECIFIC " if a else ""
with cols[2]:
a = st.checkbox("Time Incorrect", key = "T" + str(idx) + c.get('event') )
temp += "TINCORRECT " if a else ""
with cols[3]:
a = st.checkbox("Story?", key = "Y" + str(idx) + c.get('event') )
temp += "STORY " if a else ""
with cols[4]:
a = st.checkbox("Perfect", key = "P" + str(idx) + c.get('event') )
temp += "PERFECT " if a else ""
c["extra_info"] = temp
# ---- MOVE BUTTONS ----
move_cols = st.columns(2)
with move_cols[0]:
if st.button(
"Up",
key="UP" + str(idx) + c.get("event")
):
if pos > 0:
order = st.session_state.drag_order
order[pos], order[pos - 1] = order[pos - 1], order[pos]
st.session_state.drag_order = order
st.rerun()
with move_cols[1]:
if st.button(
"Down",
key="DOWN" + str(idx) + c.get("event")
):
if pos < len(st.session_state.drag_order) - 1:
order = st.session_state.drag_order
order[pos], order[pos + 1] = order[pos + 1], order[pos]
st.session_state.drag_order = order
st.rerun()
# --------------------------
# Submit Ranking
# --------------------------
if st.button("Submit Ranking"):
# Sort by rank (ascending = best)
rankings.sort(key=lambda x: x[1])
n = len(ordered_indices)
n = len(rankings)
for rank_position, idx in enumerate(ordered_indices):
claim_obj = claims[idx]
# Convert ranking -> normalized score
for idx, (claim_obj, _) in enumerate(rankings):
if n == 1:
score = 1.0
else:
score = 1 - (idx / (n - 1))
score = 1 - (rank_position / (n - 1))
claim_obj["human_score"] = round(score, 3)
save_data(DATA_FILE, st.session_state.data)
st.success("Ranking converted to scores and saved!")
print("Ranking converted to scores and saved!")
st.session_state.current_claim = None
st.session_state.drag_order = None
st.rerun()
elif view == "View Rules":
with open("rules.txt", "r", encoding="utf-8") as f:
st.write(f.readlines())
supporting/scorer/rules.txt
+1 -1
View File
@@ -1,4 +1,4 @@
1. Proposed trigger events rewording the initial prompt should penalised
2. Proposed trigger events should be specific enough to create resonable analysis
3. Proposed trigger events should be time-specific. A trigger events that happened after the event is invalid
4. Proposed trigger events should not describe a story of propogation
4. Proposed trigger events should not describe a story of propogation (discussions on debunk articles is invalid)