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rename package tinymfv -> moralmaps (repo -> moral-maps)

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Import name tinymfv -> moralmaps, pip name tiny-mfv -> moral-maps, GitHub
URLs wassname/tinymfv -> wassname/moral-maps. HuggingFace dataset id
wassname/tiny-mfv left as-is (separate namespace, published data artifact).
Historical docs/spec/* and RESEARCH_JOURNAL keep their dated paths.

Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
This commit is contained in:
wassname
2026-07-09 10:41:49 +08:00
co-authored by Claudypoo
parent ca76c0e05e
commit 469788c418
60 changed files with 111 additions and 111 deletions
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scripts/wvs_map.py
+7 -7
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@@ -4,7 +4,7 @@ Economist chart), on the two named IW dimensions instead of a blind PCA.
X = Survival <-> Self-expression (homosexuality tolerance, interpersonal trust, political action)
Y = Traditional <-> Secular-Rational (religion importance + belief, abortion, child autonomy)
Each axis is a small hand-picked battery of GlobalOpinionQA WVS items (tinymfv.iw_axes), every item
Each axis is a small hand-picked battery of GlobalOpinionQA WVS items (moralmaps.iw_axes), every item
oriented to its axis-positive pole by reading the option order. A country's coordinate is the mean
`positiveness` (0-1) over that axis's items from the human WVS choice frequencies. A model's
coordinate is the SAME items administered as a dense Likert readout (read_items_rated: rate every
@@ -40,12 +40,12 @@ import matplotlib.pyplot as plt
from datasets import load_dataset
from transformers import AutoModelForCausalLM, AutoTokenizer
from tinymfv import maps
from tinymfv.zones import zones_for, zone_of
from tinymfv.instrument import Instrument, InstrItem
from tinymfv.read import read_items, resolve_answer_ids
from tinymfv.read_api import read_items_rated
from tinymfv.iw_axes import AXIS_ITEMS, X_AXIS, Y_AXIS, SKIP, resolve_items, positiveness
from moralmaps import maps
from moralmaps.zones import zones_for, zone_of
from moralmaps.instrument import Instrument, InstrItem
from moralmaps.read import read_items, resolve_answer_ids
from moralmaps.read_api import read_items_rated
from moralmaps.iw_axes import AXIS_ITEMS, X_AXIS, Y_AXIS, SKIP, resolve_items, positiveness
# option labels are single digits 0..n-1 -- single-token (unlike '10' on the justifiable scale) and
# the format the answer-token reader is tuned for (a bare digit, not a letter the model ignores in