datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
legal_consolidationTask details
Legal consolidation is a critical yet time-consuming task, traditionally performed manually by legal professionals.
The objective is to automate the process of French legal consolidation, which is the application of modifications from a
modification section to an initial article to generate a modified article.
Dataset structure
A triplet of:
an initial article: the legislative article before consolidation,
a modification section: the text introducing the modification within… See the full description on the dataset page: https://huggingface.co/datasets/DoctrineAI/legal_consolidation.legal-doctrine-evolution-coherence-trajectory-v0.1What this dataset is
You receive
doctrine state at t
transition signals
doctrine state at t+1
split or exception signals
workability or legitimacy signals
reform pressure signals
You decide
Is the doctrine evolution stable
Answer
coherent
or
incoherent
Why this matters
Incoherent trajectories predict
overruling events
doctrinal collapse
rapid rule change
institutional instability
legal-judicial-doctrinal-consistency-drift-v0.1What this dataset is
You receive
prior opinion pattern
current opinion pattern
citation shift
test or factor weighting shift
explanation quality
external reaction signals
You decide
Does the judge remain doctrinally consistent
Answer
coherent
or
incoherent
Why this matters
Doctrinal drift predicts
dissents and fractures
en banc pressure
reversal risk
loss of precedential durability
int_prep_doctrine