File size: 3,612 Bytes
e1e71d5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 | """Build the excerpts Lev was trained on.
A decision is passed as a header line, its front matter, and its numbered paragraphs
({number: text}, with the text starting "[N] "). Each function returns the `state` string to pass to
`model.system_one(state=..., questions=...)`.
header "Smith v. Jones, 2025 ONCA 100 | Court of Appeal for Ontario (appeal court, Ontario) | decided 2025-02-03"
front the style of cause, coram, counsel and so on, as plain text
paragraphs {41: "[41] The respondent relies on ...", 42: "[42] ..."}
"""
def clip(text, limit):
return text if len(text) <= limit else text[:limit].rsplit(" ", 1)[0] + " [...]"
def citation_pair(header, front, paragraphs, cited_name, cited_citation, citing_paragraphs, budget=3400):
"""Excerpt for the citator questions: treatment, history, reported, dissent.
`citing_paragraphs` are the numbers of the paragraphs that name or cite the case.
"""
order = sorted(paragraphs)
index = {n: i for i, n in enumerate(order)}
cited = [n for n in dict.fromkeys(citing_paragraphs) if n in paragraphs]
if not cited:
raise ValueError("none of the citing paragraphs is in the decision")
chosen = list(cited)
for n in cited: # then one neighbour on each side
for j in (index[n] - 1, index[n] + 1):
if 0 <= j < len(order) and order[j] not in chosen:
chosen.append(order[j])
kept, used = [], 0
for n in chosen:
text = clip(paragraphs[n], 1300)
if used + len(text) > budget and kept:
continue
kept.append(n)
used += len(text)
kept.sort(key=index.get)
first = [n for n in order[:1] if n not in kept]
last = [n for n in order[-2:] if n not in kept]
lines = [f"Citing decision: {header}", f"Cited case: {cited_name}, {cited_citation}", "",
"Front matter of the citing decision:", clip(front, 500), ""]
if first:
lines += ["Opening paragraph:", clip(paragraphs[first[0]], 400), ""]
lines.append("Paragraphs that cite the case, with neighbours:")
lines += [clip(paragraphs[n], 1300) for n in kept]
if last:
lines += ["", "Closing paragraphs:"] + [clip(paragraphs[n], 350) for n in last]
return "\n".join(lines)
def decision(header, front, paragraphs):
"""Excerpt for the decision-level questions: outcome, decision_type, proceeding, area and the three yes/no ones."""
order = sorted(paragraphs)
first, last = order[:3], [n for n in order[-5:] if n not in order[:3]]
lines = [f"Decision: {header}", "", "Front matter:", clip(front, 900), "", "Opening paragraphs:"]
lines += [clip(paragraphs[n], 500) for n in first]
if last:
lines += ["", "Closing paragraphs:"] + [clip(paragraphs[n], 600) for n in last]
return "\n".join(lines)
def passage(header, lead, paragraphs, numbers, budget=3600):
"""Excerpt for the passage-level questions.
`lead` is ["Issue: ..."] for standard_of_review, or ["Legal test: ...", "Element: ..."] for element_finding.
`numbers` are the paragraphs that deal with the issue or the element.
"""
kept, used = [], 0
for n in dict.fromkeys(numbers):
if n not in paragraphs:
continue
text = clip(paragraphs[n], 1300)
if used + len(text) > budget and kept:
break
kept.append(text)
used += len(text)
if not kept:
raise ValueError("none of the paragraphs is in the decision")
return "\n".join([f"Decision: {header}", *lead, "", "Paragraphs:", *kept])
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