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import argparse
import csv
import json
import random
import re
from pathlib import Path
def find_latest_run(base_output_dir):
if not os.path.exists(base_output_dir):
return None
subdirs = [d for d in os.listdir(base_output_dir)
if os.path.isdir(os.path.join(base_output_dir, d))]
if not subdirs:
return None
timestamped = [d for d in subdirs if re.match(r'^\d{8}_\d{6}$', d)]
if timestamped:
latest = sorted(timestamped)[-1]
return os.path.join(base_output_dir, latest)
dirs_with_time = [(d, os.path.getmtime(os.path.join(base_output_dir, d)))
for d in subdirs]
latest = max(dirs_with_time, key=lambda x: x[1])[0]
return os.path.join(base_output_dir, latest)
def find_scene_file(scenes_dir, image_filename):
base_name = os.path.splitext(image_filename)[0]
scene_file = os.path.join(scenes_dir, base_name + '.json')
if os.path.exists(scene_file):
return scene_file
return None
def load_scene(scene_file):
with open(scene_file, 'r') as f:
return json.load(f)
RELATION_KEYS_TO_PHRASES = {'left': 'left of', 'right': 'right of', 'front': 'in front of', 'behind': 'behind'}
PHRASES_TO_RELATION_KEYS = {'left of': 'left', 'right of': 'right', 'in front of': 'front', 'behind': 'behind'}
DEFAULT_RELATIONS = ['left of', 'right of', 'in front of', 'behind']
# Token sets for parsing questions
_COLORS = ['red', 'blue', 'green', 'brown', 'purple', 'cyan', 'yellow', 'gray', 'grey']
_SHAPES = ['cube', 'sphere', 'cylinder', 'cubes', 'spheres', 'cylinders']
_MATERIALS = ['metal', 'rubber', 'metals', 'rubbers']
_SIZES = ['small', 'large']
def _find_objects_matching(objects, color=None, shape=None, material=None, size=None):
"""Return list of object indices that match all specified attributes (None means any)."""
out = []
for i, obj in enumerate(objects):
if color is not None and (obj.get('color') or '').lower() != color:
continue
if shape is not None:
s = (obj.get('shape') or '').lower()
if s != shape and s != shape.rstrip('s') and s + 's' != shape:
continue
if material is not None and (obj.get('material') or '').lower() != material:
continue
if size is not None and (obj.get('size') or '').lower() != size:
continue
out.append(i)
return out
def _first_value_in_question(question_lower, values, strip_s=True):
for v in values:
if v in question_lower:
return v.rstrip('s') if strip_s and v.endswith('s') else v
return None
def _objects_in_relation_to_reference(scene, relation_phrase, ref_color=None, ref_shape=None, ref_material=None, ref_size=None):
"""Return set of object indices that stand in relation_phrase to the reference object (e.g. 'left of' the red cube)."""
objects = scene.get('objects', [])
rel_key = PHRASES_TO_RELATION_KEYS.get(relation_phrase)
if not rel_key:
return set()
rels = scene.get('relationships') or {}
rel_list = rels.get(rel_key)
if not rel_list or len(rel_list) != len(objects):
return set()
ref_indices = _find_objects_matching(
objects, color=ref_color, shape=ref_shape, material=ref_material, size=ref_size
)
if not ref_indices:
return set()
ref_idx = ref_indices[0]
return set(rel_list[ref_idx])
def get_scene_properties(scene):
objects = scene.get('objects', [])
if not objects:
return {
'colors': ['red', 'blue', 'green'],
'shapes': ['cube', 'sphere', 'cylinder'],
'materials': ['metal', 'rubber'],
'sizes': ['small', 'large'],
'relations': DEFAULT_RELATIONS
}
colors = list(set(obj.get('color') for obj in objects if obj.get('color')))
shapes = list(set(obj.get('shape') for obj in objects if obj.get('shape')))
materials = list(set(obj.get('material') for obj in objects if obj.get('material')))
sizes = list(set(obj.get('size') for obj in objects if obj.get('size')))
relationships = scene.get('relationships') or {}
relations = [RELATION_KEYS_TO_PHRASES[k] for k in relationships if k in RELATION_KEYS_TO_PHRASES]
if not relations:
relations = DEFAULT_RELATIONS
all_colors = ['gray', 'red', 'blue', 'green', 'brown', 'purple', 'cyan', 'yellow']
all_shapes = ['cube', 'sphere', 'cylinder']
all_materials = ['metal', 'rubber']
all_sizes = ['small', 'large']
return {
'colors': colors if colors else all_colors,
'shapes': shapes if shapes else all_shapes,
'materials': materials if materials else all_materials,
'sizes': sizes if sizes else all_sizes,
'relations': relations,
'all_colors': all_colors,
'all_shapes': all_shapes,
'all_materials': all_materials,
'all_sizes': all_sizes
}
IMAGE_CF_TYPES = {
'change_color', 'change_shape', 'change_size', 'change_material',
'change_position', 'add_object', 'remove_object', 'replace_object',
'swap_attribute', 'relational_flip'
}
NEGATIVE_CF_TYPES = {
'change_background', 'change_lighting', 'add_noise',
'apply_fisheye', 'apply_blur', 'apply_vignette', 'apply_chromatic_aberration',
'occlusion_change'
}
MAX_CF_ANSWER_RETRIES = 150
def get_cf_type_from_scene(scene):
meta = scene.get('cf_metadata') or {}
if not meta.get('is_counterfactual'):
return None
return meta.get('cf_type')
def get_cf_description_from_scene(scene):
meta = scene.get('cf_metadata') or {}
if not meta.get('is_counterfactual'):
return None
return meta.get('cf_description')
def get_change_details(original_scene, cf_scene):
orig_objs = original_scene.get('objects', [])
cf_objs = cf_scene.get('objects', [])
if len(orig_objs) != len(cf_objs):
return {'attribute': 'count', 'orig_count': len(orig_objs), 'cf_count': len(cf_objs)}
attrs = ['color', 'shape', 'material', 'size']
for i, (o, c) in enumerate(zip(orig_objs, cf_objs)):
for attr in attrs:
ov = (o.get(attr) or '').lower().strip()
cv = (c.get(attr) or '').lower().strip()
if ov != cv:
return {'attribute': attr, 'orig_val': ov or 'unknown', 'cf_val': cv or 'unknown', 'object_index': i}
return None
CF_COUNT_QUESTION_TEMPLATES = [
"How many objects are in the scene?",
"What is the total number of objects in the scene?",
]
CF_COLOR_QUESTION_TEMPLATES = [
("How many {val} objects are there?", 'color'),
("Are there any {val} objects?", 'color'),
("What is the total number of {val} objects?", 'color'),
]
CF_SHAPE_QUESTION_TEMPLATES = [
("How many {val} are there?", 'shape'),
("Are there any {val}?", 'shape'),
("What is the total number of {val}?", 'shape'),
]
CF_MATERIAL_QUESTION_TEMPLATES = [
("How many {val} objects are there?", 'material'),
("Are there any {val} objects?", 'material'),
("What is the total number of {val} objects?", 'material'),
]
CF_SIZE_QUESTION_TEMPLATES = [
("How many {val} objects are there?", 'size'),
("Are there any {val} objects?", 'size'),
("What is the total number of {val} objects?", 'size'),
]
def _pluralize_shape(shape):
if not shape:
return shape
s = shape.strip().lower()
if s.endswith('s'):
return s
return s + 's'
def _count_by_attribute(objects, attr):
counts = {}
for obj in objects:
val = (obj.get(attr) or '').lower().strip()
if val:
counts[val] = counts.get(val, 0) + 1
return counts
def _get_attributes_with_different_counts(original_scene, cf_scene):
orig_objs = original_scene.get('objects', [])
cf_objs = cf_scene.get('objects', [])
differing = []
for attr in ['color', 'shape', 'material', 'size']:
orig_counts = _count_by_attribute(orig_objs, attr)
cf_counts = _count_by_attribute(cf_objs, attr)
all_vals = set(orig_counts) | set(cf_counts)
for val in all_vals:
o = orig_counts.get(val, 0)
c = cf_counts.get(val, 0)
if o != c:
differing.append((attr, val, o, c))
return differing
def generate_question_for_counterfactual(cf_type, original_scene, cf_scene, retry_index=0, original_question=None, original_params=None):
"""
Generate a counterfactual question. If original_question and original_params are provided,
uses strict targeting: (1) try original question, (2) try mutated questions that target
the change, (3) return (None, None) to signal rejection/retry if no question yields an answer change.
"""
# --- Strict counterfactual targeting when original question is provided ---
if original_question is not None and original_params is not None:
a_orig = answer_question_for_scene(original_question, original_scene)
a_cf = answer_question_for_scene(original_question, cf_scene)
a_orig_n = normalize_answer(a_orig)
a_cf_n = normalize_answer(a_cf)
if a_orig_n != a_cf_n:
return (original_question, original_params)
for mut_q, mut_params in create_counterfactual_questions(original_question, original_params, original_scene):
a_mut_cf = answer_question_for_scene(mut_q, cf_scene)
if normalize_answer(a_mut_cf) != a_orig_n:
return (mut_q, mut_params)
return (None, None)
random.seed(hash((str(cf_type), retry_index, str(id(original_scene)), str(id(cf_scene)))))
change = get_change_details(original_scene, cf_scene)
orig_objs = original_scene.get('objects', [])
cf_objs = cf_scene.get('objects', [])
props_orig = get_scene_properties(original_scene)
props_cf = get_scene_properties(cf_scene)
def _pick_spatial_question(props):
"""Strict spatial/relational templates only; never simple attribute count."""
relations = props.get('relations') or DEFAULT_RELATIONS
colors = list(props.get('colors') or props.get('all_colors') or ['red', 'blue', 'green'])
shapes = list(props.get('shapes') or props.get('all_shapes') or ['cube', 'sphere', 'cylinder'])
materials = list(props.get('materials') or props.get('all_materials') or ['metal', 'rubber'])
sizes = list(props.get('sizes') or props.get('all_sizes') or ['small', 'large'])
templates = [
("What color is the object {relation} the {color} {shape}?", {
'relation': random.choice(relations), 'color': random.choice(colors), 'shape': random.choice(shapes)
}),
("What shape is the object {relation} the {material} object?", {
'relation': random.choice(relations), 'material': random.choice(materials)
}),
("How many objects are {relation} the {color} {shape}?", {
'relation': random.choice(relations), 'color': random.choice(colors), 'shape': random.choice(shapes)
}),
("How many {material} objects are {relation} the {shape}?", {
'material': random.choice(materials), 'relation': random.choice(relations), 'shape': random.choice(shapes)
}),
("Is there a {color} object {relation} the {shape}?", {
'color': random.choice(colors), 'relation': random.choice(relations), 'shape': random.choice(shapes)
}),
("What is the total number of {size} objects {relation} the {color} object?", {
'size': random.choice(sizes), 'relation': random.choice(relations), 'color': random.choice(colors)
}),
("What is the total number of {material} objects {relation} the {color} {shape}?", {
'material': random.choice(materials), 'relation': random.choice(relations),
'color': random.choice(colors), 'shape': random.choice(shapes)
}),
("Is there a {size} {material} object {relation} the {shape}?", {
'size': random.choice(sizes), 'material': random.choice(materials),
'relation': random.choice(relations), 'shape': random.choice(shapes)
}),
]
template, params = random.choice(templates)
return template.format(**params), params
def _pick_compositional_question(props):
"""Strict compositional (≥2 attributes) templates only; never single-attribute count."""
colors = list(props.get('colors') or props.get('all_colors') or ['red', 'blue', 'green'])
shapes = list(props.get('shapes') or props.get('all_shapes') or ['cube', 'sphere', 'cylinder'])
materials = list(props.get('materials') or props.get('all_materials') or ['metal', 'rubber'])
sizes = list(props.get('sizes') or props.get('all_sizes') or ['small', 'large'])
templates = [
("How many {color} {shape}s are there?", {
'color': random.choice(colors), 'shape': random.choice(shapes)
}),
("Are there any {color} {shape}s?", {
'color': random.choice(colors), 'shape': random.choice(shapes)
}),
("Is there a {color} {shape}?", {
'color': random.choice(colors), 'shape': random.choice(shapes)
}),
("Is there a {material} {shape}?", {
'material': random.choice(materials), 'shape': random.choice(shapes)
}),
("How many {size} {color} objects are there?", {
'size': random.choice(sizes), 'color': random.choice(colors)
}),
("What is the total number of {color} {material} objects?", {
'color': random.choice(colors), 'material': random.choice(materials)
}),
("Are there any {material} {shape}s?", {
'material': random.choice(materials), 'shape': random.choice(shapes)
}),
("How many {size} {shape}s are there?", {
'size': random.choice(sizes), 'shape': random.choice(shapes)
}),
]
template, params = random.choice(templates)
return template.format(**params), params
# --- change_position: STRICTLY spatial/relational only; never simple attribute count ---
if cf_type == 'change_position':
props = props_cf if (props_cf.get('relations') or props_cf.get('colors') or props_cf.get('shapes')) else props_orig
question, params = _pick_spatial_question(props)
return question, params
# --- relational_flip: STRICTLY spatial/relational only ---
if cf_type == 'relational_flip':
props = props_cf if (props_cf.get('relations') or props_cf.get('colors') or props_cf.get('shapes')) else props_orig
question, params = _pick_spatial_question(props)
return question, params
# --- swap_attribute: STRICTLY compositional (≥2 attributes) only; never single-attribute count ---
if cf_type == 'swap_attribute':
props = props_cf if (props_cf.get('colors') or props_cf.get('shapes')) else props_orig
question, params = _pick_compositional_question(props)
return question, params
if cf_type and cf_type in IMAGE_CF_TYPES:
differing = _get_attributes_with_different_counts(original_scene, cf_scene)
if differing:
idx = retry_index % len(differing) if differing else 0
attr, val, orig_count, cf_count = differing[idx]
if attr == 'color':
template, _ = random.choice(CF_COLOR_QUESTION_TEMPLATES)
question = template.format(val=val)
elif attr == 'shape':
plural = _pluralize_shape(val)
template, _ = random.choice(CF_SHAPE_QUESTION_TEMPLATES)
question = template.format(val=plural)
elif attr == 'material':
template, _ = random.choice(CF_MATERIAL_QUESTION_TEMPLATES)
question = template.format(val=val)
elif attr == 'size':
template, _ = random.choice(CF_SIZE_QUESTION_TEMPLATES)
question = template.format(val=val)
else:
question = None
if question:
return question, {attr: val.rstrip('s') if attr == 'shape' else val}
if cf_type and cf_type in NEGATIVE_CF_TYPES:
templates = [
("How many objects are in the scene?", {}),
("How many {color} objects are there?", {'color': random.choice(props_orig['colors'])} if props_orig['colors'] else None),
("Are there any {shape} objects?", {'shape': random.choice(props_orig['shapes'])} if props_orig['shapes'] else None),
("How many {material} objects are there?", {'material': random.choice(props_orig['materials'])} if props_orig['materials'] else None),
("What is the total number of {size} objects?", {'size': random.choice(props_orig['sizes'])} if props_orig['sizes'] else None),
]
valid = [(t, p) for t, p in templates if p is not None or t.startswith("How many objects are in")]
if not valid:
valid = [("How many objects are in the scene?", {})]
template, params = random.choice(valid)
params = params or {}
question = template.format(**params) if params else template
return question, params
if change and change.get('attribute') == 'count':
orig_count = change.get('orig_count', len(orig_objs))
cf_count = change.get('cf_count', len(cf_objs))
templates_with_params = []
templates_with_params.append((random.choice(CF_COUNT_QUESTION_TEMPLATES), {}))
if cf_count > orig_count:
templates_with_params.append((f"Are there more than {orig_count} objects?", {}))
templates_with_params.append((f"Are there at least {cf_count} objects?", {}))
if cf_count < orig_count:
templates_with_params.append((f"Are there fewer than {orig_count} objects?", {}))
templates_with_params.append((f"Are there more than {cf_count} objects?", {}))
template, params = random.choice(templates_with_params)
return template, params
if change and change.get('attribute') in ('color', 'shape', 'material', 'size'):
attr = change['attribute']
cf_val = (change.get('cf_val') or '').strip().lower()
if not cf_val:
cf_val = 'unknown'
params = {attr: cf_val}
if attr == 'color':
template, _ = random.choice(CF_COLOR_QUESTION_TEMPLATES)
question = template.format(val=cf_val)
elif attr == 'shape':
template, _ = random.choice(CF_SHAPE_QUESTION_TEMPLATES)
plural = _pluralize_shape(cf_val)
question = template.format(val=plural)
params['shape'] = cf_val.rstrip('s')
elif attr == 'material':
template, _ = random.choice(CF_MATERIAL_QUESTION_TEMPLATES)
question = template.format(val=cf_val)
elif attr == 'size':
template, _ = random.choice(CF_SIZE_QUESTION_TEMPLATES)
question = template.format(val=cf_val)
else:
question = "How many objects are in the scene?"
params = {}
return question, params
if cf_type in ('add_object', 'remove_object'):
templates = list(CF_COUNT_QUESTION_TEMPLATES)
if len(orig_objs) != len(cf_objs):
if len(cf_objs) > len(orig_objs):
templates.extend([f"Are there more than {len(orig_objs)} objects?", f"Are there at least {len(cf_objs)} objects?"])
else:
templates.extend([f"Are there fewer than {len(orig_objs)} objects?", f"Are there more than {len(cf_objs)} objects?"])
template = random.choice(templates)
return template, {}
if cf_type in ('change_color', 'change_shape', 'replace_object'):
for attr, key in [('color', 'colors'), ('shape', 'shapes'), ('material', 'materials'), ('size', 'sizes')]:
vals = list(props_cf.get(key) or props_orig.get(key) or [])
if vals:
val = random.choice(vals)
if attr == 'shape':
plural = _pluralize_shape(val)
templates = CF_SHAPE_QUESTION_TEMPLATES
template, _ = random.choice(templates)
question = template.format(val=plural)
elif attr == 'color':
template, _ = random.choice(CF_COLOR_QUESTION_TEMPLATES)
question = template.format(val=val)
elif attr == 'material':
template, _ = random.choice(CF_MATERIAL_QUESTION_TEMPLATES)
question = template.format(val=val)
else:
template, _ = random.choice(CF_SIZE_QUESTION_TEMPLATES)
question = template.format(val=val)
return question, {attr: val.rstrip('s') if attr == 'shape' else val}
if cf_type in ('change_size', 'change_material'):
key = 'sizes' if cf_type == 'change_size' else 'materials'
attr = key.rstrip('s')
vals = list(props_cf.get(key) or props_orig.get(key) or [])
if vals:
val = random.choice(vals)
if cf_type == 'change_size':
template, _ = random.choice(CF_SIZE_QUESTION_TEMPLATES)
else:
template, _ = random.choice(CF_MATERIAL_QUESTION_TEMPLATES)
question = template.format(val=val)
return question, {attr: val}
# Fallback: never use generic "How many objects?" for change_position, relational_flip, swap_attribute.
if cf_type in ('change_position', 'relational_flip', 'swap_attribute'):
props = props_cf if (props_cf.get('relations') or props_cf.get('colors')) else props_orig
if cf_type == 'swap_attribute':
question, params = _pick_compositional_question(props)
else:
question, params = _pick_spatial_question(props)
return question, params
question = random.choice(CF_COUNT_QUESTION_TEMPLATES)
return question, {}
def generate_question_for_scene(scene_file, retry_index=None):
scene = load_scene(scene_file)
objects = scene.get('objects', [])
if len(objects) == 0:
return "How many objects are in the scene?", {}
props = get_scene_properties(scene)
templates = [
("How many objects are in the scene?", {}),
("How many {color} objects are there?", {'color': random.choice(props['colors'])}),
("Are there any {shape} objects?", {'shape': random.choice(props['shapes'])}),
("Are there any {shape}s present?", {'shape': random.choice(props['shapes'])}),
("Is there a {color} {shape}?", {
'color': random.choice(props['colors']),
'shape': random.choice(props['shapes'])
}),
("How many {material} objects are there?", {'material': random.choice(props['materials'])}),
("What is the total number of {material} objects?", {'material': random.choice(props['materials'])}),
("What is the total number of metallic objects?", {}),
("What is the total number of {size} objects?", {'size': random.choice(props['sizes'])}),
("Is there a {material} {shape}?", {
'material': random.choice(props['materials']),
'shape': random.choice(props['shapes'])
}),
("How many {size} {color} objects are there?", {
'size': random.choice(props['sizes']),
'color': random.choice(props['colors'])
}),
("Are there any {color} {shape}s?", {
'color': random.choice(props['colors']),
'shape': random.choice(props['shapes'])
}),
("What is the total number of {color} {material} objects?", {
'color': random.choice(props['colors']),
'material': random.choice(props['materials'])
}),
("What color is the object {relation} the {color} {shape}?", {
'relation': random.choice(props['relations']),
'color': random.choice(props['colors']),
'shape': random.choice(props['shapes'])
}),
("What shape is the object {relation} the {material} object?", {
'relation': random.choice(props['relations']),
'material': random.choice(props['materials'])
}),
("What material is the {size} object {relation} the {shape}?", {
'size': random.choice(props['sizes']),
'relation': random.choice(props['relations']),
'shape': random.choice(props['shapes'])
}),
("How many objects are {relation} the {color} {shape}?", {
'relation': random.choice(props['relations']),
'color': random.choice(props['colors']),
'shape': random.choice(props['shapes'])
}),
("How many {material} objects are {relation} the {shape}?", {
'material': random.choice(props['materials']),
'relation': random.choice(props['relations']),
'shape': random.choice(props['shapes'])
}),
("What is the total number of {size} objects {relation} the {color} object?", {
'size': random.choice(props['sizes']),
'relation': random.choice(props['relations']),
'color': random.choice(props['colors'])
}),
("Is there a {color} object {relation} the {shape}?", {
'color': random.choice(props['colors']),
'relation': random.choice(props['relations']),
'shape': random.choice(props['shapes'])
}),
("Are there any {material} {shape}s {relation} the {size} object?", {
'material': random.choice(props['materials']),
'shape': random.choice(props['shapes']),
'relation': random.choice(props['relations']),
'size': random.choice(props['sizes'])
}),
# --- Attribute Equivalence (Same/Different) ---
("Is the color of the {shape1} the same as the {shape2}?", {
'shape1': random.choice(props['shapes']),
'shape2': random.choice(props['shapes'])
}),
("Is the material of the {color} object the same as the {size} object?", {
'color': random.choice(props['colors']),
'size': random.choice(props['sizes'])
}),
("Do the {size} object and the {material} object have the same shape?", {
'size': random.choice(props['sizes']),
'material': random.choice(props['materials'])
}),
# --- Logical Disjunction (OR) ---
("How many objects are either {color} or {shape}?", {
'color': random.choice(props['colors']),
'shape': random.choice(props['shapes'])
}),
("Are there any objects that are either {material} or {color}?", {
'material': random.choice(props['materials']),
'color': random.choice(props['colors'])
}),
("What is the total number of objects that are either {size} or {shape}?", {
'size': random.choice(props['sizes']),
'shape': random.choice(props['shapes'])
}),
# --- Exact Numerical Comparison ---
("Is the number of {color} objects equal to the number of {shape}s?", {
'color': random.choice(props['colors']),
'shape': random.choice(props['shapes'])
}),
("Are there exactly as many {material} objects as {size} objects?", {
'material': random.choice(props['materials']),
'size': random.choice(props['sizes'])
}),
("Does the scene contain an equal number of {color1} objects and {color2} objects?", dict(zip(
['color1', 'color2'],
random.sample(props['colors'], 2) if len(props['colors']) >= 2 else [props['colors'][0]] * 2
))),
# --- Complex Spatial & Attribute Composition ---
("What is the total number of {material} objects {relation} the {color} {shape}?", {
'material': random.choice(props['materials']),
'relation': random.choice(props['relations']),
'color': random.choice(props['colors']),
'shape': random.choice(props['shapes'])
}),
("Is there a {size} {material} object {relation} the {shape}?", {
'size': random.choice(props['sizes']),
'material': random.choice(props['materials']),
'relation': random.choice(props['relations']),
'shape': random.choice(props['shapes'])
}),
]
# Add matte/shin only when the scene has a metal/rubber object; caller should accept only when CF is attribute-swap (not add/remove).
matte_shiny_objects = [o for o in objects if (o.get('material') or '').lower() in ('metal', 'rubber') and o.get('color') and o.get('shape')]
if matte_shiny_objects:
obj = random.choice(matte_shiny_objects)
templates.append(("Is the {color} {shape} matte or shiny?", {'color': obj.get('color'), 'shape': obj.get('shape')}))
if retry_index is not None:
random.seed(hash((scene_file, retry_index)))
else:
random.seed(hash(scene_file))
template, params = random.choice(templates)
question = template.format(**params) if params else template
return question, params
def calculate_question_difficulty(question, params):
num_params = len(params) if params else 0
question_lower = question.lower()
if "matte or shiny" in question_lower or ("or" in question_lower and ("matte" in question_lower or "shiny" in question_lower)):
return "hard"
elif "metallic" in question_lower:
return "medium"
elif "total number" in question_lower and num_params >= 1:
return "hard" if num_params >= 2 else "medium"
elif num_params == 0:
return "easy"
elif num_params == 1:
return "medium"
else:
return "hard"
def _apply_param_replacements(question, params, cf_params):
"""Replace param values in question with cf_params, from last to first by position, to avoid double-replacing when the same value appears for different placeholders."""
if not params or not cf_params:
return question
# Order keys by first occurrence of their value in the question (so we replace in document order)
positions = []
for k, v in params.items():
if k not in cf_params or cf_params[k] == v:
continue
pos = question.find(v)
if pos >= 0:
positions.append((pos, k, v, cf_params[k]))
# Replace from end to start so indices stay valid
positions.sort(key=lambda x: -x[0])
for pos, k, old_val, new_val in positions:
question = question[:pos] + new_val + question[pos + len(old_val):]
return question
def create_counterfactual_questions(original_question, params, scene):
props = get_scene_properties(scene)
cf_questions = []
strategies = ['attribute_swap', 'question_type', 'scope_change',
'negation', 'comparative', 'multi_attribute',
'same_different', 'either_or', 'equal_comparison']
random.seed(hash(str(scene)))
selected_strategies = random.sample(strategies, 2)
for strategy in selected_strategies:
cf_q = None
cf_params = {}
max_retries = 5
retry_count = 0
while retry_count < max_retries:
cf_q = None
cf_params = {}
if strategy == 'attribute_swap' and params:
cf_params = params.copy()
param_to_change = random.choice(list(params.keys()))
current = params.get(param_to_change)
def pick_alternative(attr_key, all_vals_getter):
alts = [v for v in all_vals_getter() if v != current]
if alts:
cf_params[param_to_change] = random.choice(alts)
return True
return False
if param_to_change in ('color', 'color1', 'color2'):
if not pick_alternative('color', lambda: props['all_colors']):
strategy = 'negation'
continue
elif param_to_change in ('shape', 'shape1', 'shape2'):
if not pick_alternative('shape', lambda: props['all_shapes']):
strategy = 'negation'
continue
elif param_to_change == 'material':
if not pick_alternative('material', lambda: props['all_materials']):
strategy = 'negation'
continue
elif param_to_change == 'size':
if not pick_alternative('size', lambda: props['all_sizes']):
strategy = 'negation'
continue
elif param_to_change == 'relation':
if not pick_alternative('relation', lambda: props['relations']):
strategy = 'negation'
continue
else:
retry_count += 1
continue
cf_q = _apply_param_replacements(original_question, params, cf_params)
elif strategy == 'question_type':
cf_params = params.copy() if params else {}
if "How many" in original_question and "objects are in the scene" in original_question:
if props['colors']:
color = random.choice(props['colors'])
cf_q = f"How many {color} objects are there?"
cf_params = {'color': color}
elif props['shapes']:
shape = random.choice(props['shapes'])
cf_q = f"Are there any {shape}s?"
cf_params = {'shape': shape}
else:
cf_q = "Are there more than 3 objects?"
cf_params = {}
elif "How many" in original_question:
cf_q = original_question.replace("How many", "Are there any")
cf_q = cf_q.replace(" are there?", "?")
cf_q = cf_q.replace(" are in the scene?", " in the scene?")
elif "Are there" in original_question or "Is there" in original_question:
if "Are there any" in original_question:
cf_q = original_question.replace("Are there any", "How many")
if not cf_q.endswith(" are there?"):
cf_q = cf_q.replace("?", " are there?")
elif "Is there a" in original_question:
cf_q = original_question.replace("Is there a", "How many")
if not cf_q.endswith(" are there?"):
cf_q = cf_q.replace("?", " are there?")
else:
if props['colors']:
color = random.choice(props['colors'])
cf_q = f"How many {color} objects are there?"
cf_params = {'color': color}
else:
cf_q = "How many objects are in the scene?"
cf_params = {}
elif "What is" in original_question:
cf_q = original_question.replace("What is the total number of", "How many")
else:
if props['colors']:
color = random.choice(props['colors'])
cf_q = f"How many {color} objects are there?"
cf_params = {'color': color}
else:
cf_q = "Are there more than 3 objects?"
cf_params = {}
elif strategy == 'scope_change':
if params and len(params) >= 2:
cf_params = params.copy()
key_to_remove = random.choice(list(params.keys()))
del cf_params[key_to_remove]
if len(cf_params) == 1:
attr_val = list(cf_params.values())[0]
cf_q = f"How many {attr_val} objects are there?"
else:
if props['colors']:
color = random.choice(props['colors'])
cf_q = f"How many {color} objects are there?"
cf_params = {'color': color}
else:
cf_q = "Are there more than 3 objects?"
cf_params = {}
elif params and len(params) == 1:
new_attr = random.choice(['material', 'size'])
if new_attr not in params:
new_val = random.choice(props[new_attr + 's'])
existing_key = list(params.keys())[0]
existing_val = list(params.values())[0]
cf_params = params.copy()
cf_params[new_attr] = new_val
if new_attr == 'size':
cf_q = f"How many {new_val} {existing_val} objects are there?"
elif new_attr == 'material':
if existing_key == 'size':
cf_q = f"How many {existing_val} {new_val} objects are there?"
else:
cf_q = f"How many {existing_val} {new_val} objects are there?"
else:
strategy = 'negation'
continue
else:
if props['colors']:
color = random.choice(props['colors'])
cf_params = {'color': color}
cf_q = f"How many {color} objects are there?"
elif props['shapes']:
shape = random.choice(props['shapes'])
cf_params = {'shape': shape}
cf_q = f"Are there any {shape}s?"
else:
cf_q = "Are there more than 3 objects?"
cf_params = {}
elif strategy == 'negation':
cf_params = params.copy() if params else {}
if params:
if 'color' in params:
color = params['color']
cf_q = f"How many objects are NOT {color}?"
elif 'shape' in params:
shape = params['shape']
cf_q = f"How many objects are NOT {shape}s?"
else:
attr_val = list(params.values())[0]
cf_q = f"How many objects are NOT {attr_val}?"
else:
cf_q = "Are there fewer than 5 objects?"
cf_params = {}
elif strategy == 'comparative':
cf_params = params.copy() if params else {}
if "How many" in original_question:
number = random.choice([2, 3, 4, 5])
cf_q = original_question.replace("How many", f"Are there more than {number}")
cf_q = cf_q.replace(" are there?", "?")
cf_q = cf_q.replace(" are in the scene?", " in the scene?")
elif params:
if 'color' in params:
color1 = params['color']
alternatives = [c for c in props['all_colors'] if c != color1]
if alternatives:
color2 = random.choice(alternatives)
cf_params = {'color': color1, 'color2': color2}
cf_q = f"Are there more {color1} objects than {color2} objects?"
else:
cf_q = f"How many objects are NOT {color1}?"
cf_params = {'color': color1}
elif 'shape' in params:
shape1 = params['shape']
alternatives = [s for s in props['all_shapes'] if s != shape1]
if alternatives:
shape2 = random.choice(alternatives)
cf_params = {'shape': shape1, 'shape2': shape2}
cf_q = f"Are there more {shape1}s than {shape2}s?"
else:
cf_q = f"How many objects are NOT {shape1}s?"
cf_params = {'shape': shape1}
else:
cf_q = "Are there more than 3 objects?"
cf_params = {}
else:
cf_q = "Are there more than 3 objects?"
cf_params = {}
elif strategy == 'multi_attribute':
if params and len(params) >= 2:
cf_params = {}
changed = False
for key in params:
if key == 'color':
alternatives = [c for c in props['all_colors'] if c != params[key]]
if alternatives:
cf_params[key] = random.choice(alternatives)
changed = True
else:
cf_params[key] = params[key]
elif key == 'shape':
alternatives = [s for s in props['all_shapes'] if s != params[key]]
if alternatives:
cf_params[key] = random.choice(alternatives)
changed = True
else:
cf_params[key] = params[key]
elif key == 'material':
alternatives = [m for m in props['all_materials'] if m != params[key]]
if alternatives:
cf_params[key] = random.choice(alternatives)
changed = True
else:
cf_params[key] = params[key]
elif key == 'size':
alternatives = [s for s in props['all_sizes'] if s != params[key]]
if alternatives:
cf_params[key] = random.choice(alternatives)
changed = True
else:
cf_params[key] = params[key]
if not changed:
strategy = 'negation'
continue
attr_order = ['size', 'color', 'material', 'shape']
ordered_values = []
for attr in attr_order:
if attr in cf_params:
ordered_values.append(cf_params[attr])
cf_q = f"How many {' '.join(ordered_values)} objects are there?"
else:
color = random.choice(props['colors'])
shape = random.choice(props['shapes'])
cf_params = {'color': color, 'shape': shape}
cf_q = f"Is there a {color} {shape}?"
elif strategy == 'same_different':
# Attribute equivalence: "same as" / "same shape/color/material" -> swap one compared attribute or "same" -> "different"
q = original_question
q_lower = q.lower()
if "the same as" in q_lower or "same shape" in q_lower or "same color" in q_lower or "same material" in q_lower:
if random.choice([True, False]) and params:
# Swap one of the compared attributes (reuse attribute_swap logic for one key)
swap_keys = [k for k in params if k in ('shape1', 'shape2', 'color', 'size', 'material', 'shape')]
if swap_keys:
key = random.choice(swap_keys)
current = params.get(key)
if key in ('shape1', 'shape2', 'shape'):
alts = [s for s in props['all_shapes'] if s != current]
val = random.choice(alts) if alts else current
elif key in ('color', 'color1', 'color2'):
alts = [c for c in props['all_colors'] if c != current]
val = random.choice(alts) if alts else current
elif key == 'material':
alts = [m for m in props['all_materials'] if m != current]
val = random.choice(alts) if alts else current
elif key == 'size':
alts = [s for s in props['all_sizes'] if s != current]
val = random.choice(alts) if alts else current
else:
val = current
if val != current:
cf_params = params.copy()
cf_params[key] = val
cf_q = _apply_param_replacements(q, params, cf_params)
else:
cf_q = None
else:
cf_q = None
else:
# Replace "same as" with "different from" / "same" with "different"
if "the same as" in q_lower:
cf_q = q.replace("the same as", "different from").replace("The same as", "Different from")
elif "same shape" in q_lower:
cf_q = q.replace("same shape", "different shape").replace("same shape", "different shape")
elif "same color" in q_lower:
cf_q = q.replace("same color", "different color")
elif "same material" in q_lower:
cf_q = q.replace("same material", "different material")
else:
cf_q = q.replace("the same as", "different from")
cf_params = params.copy() if params else {}
else:
cf_q = None
elif strategy == 'either_or':
# "either X or Y" -> swap X or Y, or "either X or Y" -> "both X and Y"
q_lower = original_question.lower()
if "either" in q_lower and " or " in q_lower and params:
if random.choice([True, False]):
# Swap one of the two attributes
swap_keys = [k for k in params if k in ('color', 'shape', 'material', 'size')]
if swap_keys:
key = random.choice(swap_keys)
current = params.get(key)
if key == 'shape':
alts = [s for s in props['all_shapes'] if s != current]
val = random.choice(alts) if alts else current
elif key == 'color':
alts = [c for c in props['all_colors'] if c != current]
val = random.choice(alts) if alts else current
elif key == 'material':
alts = [m for m in props['all_materials'] if m != current]
val = random.choice(alts) if alts else current
elif key == 'size':
alts = [s for s in props['all_sizes'] if s != current]
val = random.choice(alts) if alts else current
else:
val = current
if val != current:
cf_params = params.copy()
cf_params[key] = val
cf_q = _apply_param_replacements(original_question, params, cf_params)
else:
cf_q = None
else:
cf_q = None
else:
# "either ... or" -> "both ... and"
cf_q = original_question.replace("either", "both").replace(" or ", " and ")
cf_params = params.copy() if params else {}
else:
cf_q = None
elif strategy == 'equal_comparison':
# "equal to" / "exactly as many" -> swap one target or change to "greater than" / "fewer than"
q = original_question
q_lower = q.lower()
if ("equal to" in q_lower or "exactly as many" in q_lower or "equal number" in q_lower) and params:
if random.choice([True, False]):
# Swap one of the compared properties (color, shape, material, size, color1, color2)
swap_keys = [k for k in params if k in ('color', 'color1', 'color2', 'shape', 'material', 'size')]
if swap_keys:
key = random.choice(swap_keys)
current = params.get(key)
if key in ('color', 'color1', 'color2'):
alts = [c for c in props['all_colors'] if c != current]
val = random.choice(alts) if alts else current
elif key == 'shape':
alts = [s for s in props['all_shapes'] if s != current]
val = random.choice(alts) if alts else current
elif key == 'material':
alts = [m for m in props['all_materials'] if m != current]
val = random.choice(alts) if alts else current
elif key == 'size':
alts = [s for s in props['all_sizes'] if s != current]
val = random.choice(alts) if alts else current
else:
val = current
if val != current:
cf_params = params.copy()
cf_params[key] = val
cf_q = _apply_param_replacements(q, params, cf_params)
else:
cf_q = None
else:
cf_q = None
else:
# "equal to" -> "greater than" or "fewer than"; "equal number" -> "greater/fewer number"
# ("exactly as many" left to swap-only path to avoid ungrammatical "more X as Y")
if "equal to" in q_lower:
direction = random.choice(["greater than", "fewer than"])
cf_q = q.replace("equal to", direction).replace("Equal to", direction.capitalize())
cf_params = params.copy() if params else {}
elif "equal number" in q_lower:
cf_q = q.replace("equal number", random.choice(["greater number", "fewer number"]))
cf_params = params.copy() if params else {}
else:
cf_q = None
cf_params = {}
else:
cf_q = None
if cf_q is None:
cf_q = "How many objects are in the scene?"
cf_params = {}
if not cf_params:
cf_params = {}
if cf_q and cf_q.strip() != original_question.strip():
break
retry_count += 1
if retry_count < max_retries:
available_strategies = [s for s in strategies if s != strategy]
if available_strategies:
strategy = random.choice(available_strategies)
else:
strategy = 'negation'
if cf_q is None or cf_q.strip() == original_question.strip():
if params:
if 'color' in params:
cf_q = f"How many objects are NOT {params['color']}?"
elif 'shape' in params:
cf_q = f"How many objects are NOT {params['shape']}s?"
else:
attr_val = list(params.values())[0]
cf_q = f"How many objects are NOT {attr_val}?"
cf_params = params.copy()
else:
if props['colors']:
color = random.choice(props['colors'])
cf_q = f"How many {color} objects are there?"
cf_params = {'color': color}
elif props['shapes']:
shape = random.choice(props['shapes'])
cf_q = f"Are there any {shape}s?"
cf_params = {'shape': shape}
else:
cf_q = "Are there more than 3 objects?"
cf_params = {}
cf_questions.append((cf_q, cf_params))
return cf_questions
def normalize_answer(a):
if a is None:
return ""
return str(a).strip().lower()
def answer_question_for_scene(question, scene):
objects = scene.get('objects', [])
question_lower = question.lower()
def _str_answer(val):
if val is None:
return "unknown"
return str(val).strip().lower()
# --- Attribute Equivalence ("same as" / "same shape/color/material") ---
if "the same as" in question_lower or "different from" in question_lower or "same shape" in question_lower or "same color" in question_lower or "same material" in question_lower:
expect_same = "different from" not in question_lower and "different shape" not in question_lower and "different color" not in question_lower and "different material" not in question_lower
shape1 = _first_value_in_question(question_lower, _SHAPES)
shape2 = None
for s in _SHAPES:
if s in question_lower and s != shape1:
shape2 = s.rstrip('s')
break
if shape2 is None and shape1:
shape2 = shape1.rstrip('s')
color1 = _first_value_in_question(question_lower, _COLORS)
size1 = _first_value_in_question(question_lower, _SIZES, strip_s=False)
material1 = _first_value_in_question(question_lower, _MATERIALS)
if "have the same shape" in question_lower:
cand_a = _find_objects_matching(objects, size=size1) if size1 else []
cand_b = _find_objects_matching(objects, material=material1) if material1 else []
if not cand_a or not cand_b:
return _str_answer("no" if expect_same else "yes")
v1 = (objects[cand_a[0]].get('shape') or '').lower()
v2 = (objects[cand_b[0]].get('shape') or '').lower()
same = (v1 == v2)
return _str_answer("yes" if (same == expect_same) else "no")
if "material of" in question_lower:
attr = 'material'
cand1 = _find_objects_matching(objects, color=color1) if color1 else []
cand2 = _find_objects_matching(objects, size=size1) if size1 else []
elif "color of" in question_lower or ("same as" in question_lower and shape1):
attr = 'color'
cand1 = _find_objects_matching(objects, shape=shape1.rstrip('s') if shape1 else None) if shape1 else []
cand2 = _find_objects_matching(objects, shape=shape2) if shape2 else []
else:
attr = 'color'
cand1 = _find_objects_matching(objects, shape=shape1.rstrip('s') if shape1 else None) if shape1 else _find_objects_matching(objects, color=color1) if color1 else []
cand2 = _find_objects_matching(objects, shape=shape2) if shape2 else _find_objects_matching(objects, size=size1) if size1 else []
if not cand1 or not cand2:
return _str_answer("no" if expect_same else "yes")
v1 = (objects[cand1[0]].get(attr) or '').lower()
v2 = (objects[cand2[0]].get(attr) or '').lower()
if not v1 or not v2:
return _str_answer("unknown")
same = (v1 == v2)
return _str_answer("yes" if (same == expect_same) else "no")
# --- Logical Disjunction ("either X or Y") ---
if "either" in question_lower and " or " in question_lower:
color_val = _first_value_in_question(question_lower, _COLORS)
shape_val = _first_value_in_question(question_lower, _SHAPES)
material_val = _first_value_in_question(question_lower, _MATERIALS)
size_val = _first_value_in_question(question_lower, _SIZES, strip_s=False)
count = 0
for obj in objects:
c = (obj.get('color') or '').lower()
s = (obj.get('shape') or '').lower()
m = (obj.get('material') or '').lower()
z = (obj.get('size') or '').lower()
match = False
if color_val and c == color_val.rstrip('s'):
match = True
if shape_val and (s == shape_val.rstrip('s') or s + 's' == shape_val):
match = True
if material_val and m == material_val.rstrip('s'):
match = True
if size_val and z == size_val:
match = True
if match:
count += 1
if "are there any" in question_lower:
return _str_answer("yes" if count > 0 else "no")
return _str_answer(str(count))
# --- Exact Numerical Comparison ("equal to", "exactly as many", "equal number") ---
if "equal to" in question_lower or "exactly as many" in question_lower or "equal number" in question_lower:
def _count_for_value(attr_kind, val):
if not val:
return None
if attr_kind == 'color':
return sum(1 for o in objects if (o.get('color') or '').lower() == val.rstrip('s'))
if attr_kind == 'shape':
return sum(1 for o in objects if (o.get('shape') or '').lower() == val.rstrip('s'))
if attr_kind == 'material':
return sum(1 for o in objects if (o.get('material') or '').lower() == val.rstrip('s'))
if attr_kind == 'size':
return sum(1 for o in objects if (o.get('size') or '').lower() == val)
return None
def _parse_one_category(phrase):
for c in _COLORS:
if c in phrase:
return ('color', c.rstrip('s'))
for s in _SHAPES:
if s in phrase:
return ('shape', s.rstrip('s'))
for m in _MATERIALS:
if m in phrase:
return ('material', m.rstrip('s'))
for z in _SIZES:
if z in phrase:
return ('size', z)
return (None, None)
if "number of" in question_lower and "objects and" in question_lower:
parts = question_lower.split("and")
if len(parts) >= 2:
kind1, v1 = _parse_one_category(parts[0])
kind2, v2 = _parse_one_category(parts[1])
if kind1 and kind2:
n1 = _count_for_value(kind1, v1)
n2 = _count_for_value(kind2, v2)
if n1 is not None and n2 is not None:
return _str_answer("yes" if n1 == n2 else "no")
if "equal to" in question_lower:
left, _, right = question_lower.partition("equal to")
kind1, v1 = _parse_one_category(left)
kind2, v2 = _parse_one_category(right)
if kind1 and kind2:
n1 = _count_for_value(kind1, v1)
n2 = _count_for_value(kind2, v2)
if n1 is not None and n2 is not None:
return _str_answer("yes" if n1 == n2 else "no")
if "exactly as many" in question_lower:
parts = re.split(r'exactly as many\s+', question_lower)
if len(parts) >= 2:
rest = parts[1]
parts2 = re.split(r'\s+as\s+', rest, maxsplit=1)
if len(parts2) >= 2:
kind1, v1 = _parse_one_category(parts2[0])
kind2, v2 = _parse_one_category(parts2[1])
if kind1 and kind2:
n1 = _count_for_value(kind1, v1)
n2 = _count_for_value(kind2, v2)
if n1 is not None and n2 is not None:
return _str_answer("yes" if n1 == n2 else "no")
return _str_answer("unknown")
# --- Complex Spatial (X objects {relation} the Y) ---
for rel_phrase in PHRASES_TO_RELATION_KEYS:
if rel_phrase in question_lower and ("objects " in question_lower or "object " in question_lower):
before_rel, _, after_rel = question_lower.partition(rel_phrase)
ref_color = _first_value_in_question(after_rel, _COLORS)
ref_shape = _first_value_in_question(after_rel, _SHAPES)
ref_material = _first_value_in_question(after_rel, _MATERIALS)
ref_size = _first_value_in_question(after_rel, _SIZES, strip_s=False)
in_rel = _objects_in_relation_to_reference(scene, rel_phrase, ref_color=ref_color, ref_shape=ref_shape, ref_material=ref_material, ref_size=ref_size)
filter_color = _first_value_in_question(before_rel, _COLORS)
filter_shape = _first_value_in_question(before_rel, _SHAPES)
filter_material = _first_value_in_question(before_rel, _MATERIALS)
filter_size = _first_value_in_question(before_rel, _SIZES, strip_s=False)
filtered = 0
for idx in in_rel:
if idx >= len(objects):
continue
o = objects[idx]
if filter_color and (o.get('color') or '').lower() != filter_color.rstrip('s'):
continue
if filter_shape and (o.get('shape') or '').lower() != filter_shape.rstrip('s'):
continue
if filter_material and (o.get('material') or '').lower() != filter_material.rstrip('s'):
continue
if filter_size and (o.get('size') or '').lower() != filter_size:
continue
filtered += 1
if "how many" in question_lower or "total number" in question_lower:
return _str_answer(str(filtered))
if "is there a" in question_lower or "are there any" in question_lower:
return _str_answer("yes" if filtered > 0 else "no")
break
if "at least" in question_lower:
match = re.search(r'at least (\d+)', question_lower)
if match:
threshold = int(match.group(1))
count = count_matching_objects(question_lower, objects)
return "yes" if count >= threshold else "no"
if "more than" in question_lower:
match = re.search(r'more than (\d+)', question_lower)
if match:
threshold = int(match.group(1))
count = count_matching_objects(question_lower, objects)
return "yes" if count > threshold else "no"
if "fewer than" in question_lower:
match = re.search(r'fewer than (\d+)', question_lower)
if match:
threshold = int(match.group(1))
count = count_matching_objects(question_lower, objects)
return "yes" if count < threshold else "no"
if " not " in question_lower:
count = 0
colors = ['red', 'blue', 'green', 'brown', 'purple', 'cyan', 'yellow', 'gray', 'grey']
shapes = ['cube', 'sphere', 'cylinder', 'cubes', 'spheres', 'cylinders']
materials = ['metal', 'rubber', 'metals', 'rubbers']
sizes = ['small', 'large']
excluded_attr = None
excluded_type = None
for c in colors:
if c in question_lower:
excluded_attr = c.rstrip('s')
excluded_type = 'color'
break
if excluded_attr is None:
for s in shapes:
if s in question_lower:
excluded_attr = s.rstrip('s')
excluded_type = 'shape'
break
if excluded_attr is None:
for m in materials:
if m in question_lower:
excluded_attr = m.rstrip('s')
excluded_type = 'material'
break
if excluded_attr is None:
for s in sizes:
if s in question_lower:
excluded_attr = s
excluded_type = 'size'
break
if excluded_attr and excluded_type:
for obj in objects:
obj_attr = obj.get(excluded_type, '').lower()
if obj_attr != excluded_attr:
count += 1
else:
count = len(objects)
return str(count)
if " than " in question_lower and " more " in question_lower:
parts = question_lower.split(" than ")
if len(parts) == 2:
first_part = parts[0]
second_part = parts[1].replace('?', '').strip()
count1 = count_matching_objects(first_part, objects)
count2 = count_matching_objects(second_part, objects)
return "yes" if count1 > count2 else "no"
if question_lower.startswith("how many"):
if "objects are in the scene" in question_lower or "total number of objects" in question_lower:
return str(len(objects))
count = count_matching_objects(question_lower, objects)
return str(count)
elif question_lower.startswith("are there") or question_lower.startswith("is there"):
count = count_matching_objects(question_lower, objects)
return "yes" if count > 0 else "no"
elif question_lower.startswith("what"):
if "colors" in question_lower:
colors = list(set(obj.get('color', '') for obj in objects if obj.get('color')))
return ", ".join(colors) if colors else "none"
elif "shapes" in question_lower:
shapes = list(set(obj.get('shape', '') for obj in objects if obj.get('shape')))
return ", ".join(shapes) if shapes else "none"
elif "total number" in question_lower:
count = count_matching_objects(question_lower, objects)
return str(count)
else:
return str(len(objects))
if "matte or shiny" in question_lower or ("or" in question_lower and ("matte" in question_lower or "shiny" in question_lower)):
colors = ['red', 'blue', 'green', 'brown', 'purple', 'cyan', 'yellow', 'gray', 'grey']
shapes = ['cube', 'sphere', 'cylinder', 'cubes', 'spheres', 'cylinders']
color_match = None
shape_match = None
for c in colors:
if c in question_lower:
color_match = c.rstrip('s')
break
for s in shapes:
if s in question_lower:
shape_match = s.rstrip('s')
break
for obj in objects:
obj_color = (obj.get('color') or '').lower()
obj_shape = (obj.get('shape') or '').lower()
obj_material = (obj.get('material') or '').lower()
matches = True
if color_match and obj_color != color_match:
matches = False
if shape_match and obj_shape != shape_match:
matches = False
if matches:
if obj_material == 'metal':
return "shiny"
if obj_material == 'rubber':
return "matte"
# Object not in this scene (e.g. CF removed it); answer without "none" or "not found"
return _str_answer("unknown")
return _str_answer("unknown")
def count_matching_objects(question_lower, objects):
count = 0
colors = ['red', 'blue', 'green', 'brown', 'purple', 'cyan', 'yellow', 'gray', 'grey']
shapes = ['cube', 'sphere', 'cylinder', 'cubes', 'spheres', 'cylinders']
materials = ['metal', 'rubber', 'metals', 'rubbers']
sizes = ['small', 'large']
color_match = None
for c in colors:
if c in question_lower:
color_match = c.rstrip('s')
break
shape_match = None
for s in shapes:
if s in question_lower:
shape_match = s.rstrip('s')
break
material_match = None
if "metallic" in question_lower:
material_match = "metal"
else:
for m in materials:
if m in question_lower:
material_match = m.rstrip('s')
break
size_match = None
for s in sizes:
if s in question_lower:
size_match = s
break
for obj in objects:
obj_color = obj.get('color', '').lower()
obj_shape = obj.get('shape', '').lower()
obj_material = obj.get('material', '').lower()
obj_size = obj.get('size', '').lower()
matches = True
if color_match and obj_color != color_match:
matches = False
if shape_match and obj_shape != shape_match:
matches = False
if material_match and obj_material != material_match:
matches = False
if size_match and obj_size != size_match:
matches = False
if matches:
count += 1
return count
def classify_question_validity(question, base_scene_graph, counterfactual_scene_graph):
answer_base = answer_question_for_scene(question, base_scene_graph)
answer_cf = answer_question_for_scene(question, counterfactual_scene_graph)
norm_base = normalize_answer(answer_base)
norm_cf = normalize_answer(answer_cf)
if norm_base != norm_cf:
return 'Semantic-Valid'
return 'Negative-Valid'
def generate_mapping_with_questions(run_dir, csv_filename='image_mapping_with_questions.csv',
generate_questions=False, with_links=False, base_url=None,
strict_question_validation=True, single_cf_per_row=False):
images_dir = os.path.join(run_dir, 'images')
scenes_dir = os.path.join(run_dir, 'scenes')
if not os.path.exists(images_dir):
print(f"ERROR: Images directory not found: {images_dir}")
return
if not os.path.exists(scenes_dir):
print(f"ERROR: Scenes directory not found: {scenes_dir}")
return
image_files = [f for f in os.listdir(images_dir) if f.endswith('.png')]
scene_sets = {}
for img_file in image_files:
if img_file.startswith('scene_'):
parts = img_file.replace('.png', '').split('_')
if len(parts) >= 3:
scene_num = parts[1]
scene_type = parts[2]
if scene_num not in scene_sets:
scene_sets[scene_num] = {}
scene_sets[scene_num][scene_type] = img_file
rows = []
if with_links:
header = ['scene_id', 'original_image_link', 'original_scene_link',
'counterfactual1_image_link', 'counterfactual1_scene_link',
'counterfactual2_image_link', 'counterfactual2_scene_link',
'counterfactual1_type', 'counterfactual2_type',
'counterfactual1_description', 'counterfactual2_description']
if generate_questions:
header.extend([
'original_question', 'counterfactual1_question', 'counterfactual2_question',
'original_question_difficulty', 'counterfactual1_question_difficulty', 'counterfactual2_question_difficulty',
'original_image_answer_to_original_question',
'original_image_answer_to_counterfactual1_question',
'original_image_answer_to_counterfactual2_question',
'counterfactual1_image_answer_to_original_question',
'counterfactual1_image_answer_to_counterfactual1_question',
'counterfactual1_image_answer_to_counterfactual2_question',
'counterfactual2_image_answer_to_original_question',
'counterfactual2_image_answer_to_counterfactual1_question',
'counterfactual2_image_answer_to_counterfactual2_question'
])
rows.append(header)
elif generate_questions:
rows.append([
'original_image', 'counterfactual1_image', 'counterfactual2_image',
'counterfactual1_type', 'counterfactual2_type',
'counterfactual1_description', 'counterfactual2_description',
'original_question', 'counterfactual1_question', 'counterfactual2_question',
'original_question_difficulty', 'counterfactual1_question_difficulty', 'counterfactual2_question_difficulty',
'original_image_answer_to_original_question',
'original_image_answer_to_cf1_question',
'original_image_answer_to_cf2_question',
'cf1_image_answer_to_original_question',
'cf1_image_answer_to_cf1_question',
'cf1_image_answer_to_cf2_question',
'cf2_image_answer_to_original_question',
'cf2_image_answer_to_cf1_question',
'cf2_image_answer_to_cf2_question'
])
else:
rows.append(['original_image', 'counterfactual1_image', 'counterfactual2_image',
'counterfactual1_type', 'counterfactual2_type',
'counterfactual1_description', 'counterfactual2_description'])
if single_cf_per_row:
if with_links:
h = ['scene_id', 'original_image_link', 'original_scene_link', 'counterfactual_image_link', 'counterfactual_scene_link', 'counterfactual_type', 'counterfactual_description']
if generate_questions:
h.extend(['original_question', 'counterfactual_question', 'original_question_difficulty', 'counterfactual_question_difficulty',
'original_image_answer_to_original_question', 'original_image_answer_to_cf_question',
'cf_image_answer_to_original_question', 'cf_image_answer_to_cf_question'])
rows = [h]
elif generate_questions:
rows = [['original_image', 'counterfactual_image', 'counterfactual_type', 'counterfactual_description',
'original_question', 'counterfactual_question', 'original_question_difficulty', 'counterfactual_question_difficulty',
'original_image_answer_to_original_question', 'original_image_answer_to_cf_question',
'cf_image_answer_to_original_question', 'cf_image_answer_to_cf_question']]
else:
rows = [['original_image', 'counterfactual_image', 'counterfactual_type', 'counterfactual_description']]
total_scenes = len(scene_sets)
for idx, scene_num in enumerate(sorted(scene_sets.keys())):
scene_data = scene_sets[scene_num]
cf_keys = sorted([k for k in scene_data if k.startswith('cf') and len(k) > 2 and k[2:].isdigit()], key=lambda x: int(x[2:]))
if single_cf_per_row:
if 'original' not in scene_data or len(cf_keys) < 1:
continue
original_id = scene_data['original']
for cf_key in cf_keys:
cf_id = scene_data[cf_key]
original_scene_file = find_scene_file(scenes_dir, original_id)
cf_scene_file = find_scene_file(scenes_dir, cf_id)
if not original_scene_file or not cf_scene_file:
continue
try:
original_scene = load_scene(original_scene_file)
cf_scene = load_scene(cf_scene_file)
cf_type = get_cf_type_from_scene(cf_scene) or ''
cf_description = get_cf_description_from_scene(cf_scene) or ''
except Exception:
continue
if generate_questions:
appended = False
for cf_retry in range(MAX_CF_ANSWER_RETRIES):
try:
original_question, params = generate_question_for_scene(original_scene_file, retry_index=cf_retry)
original_ans_orig = answer_question_for_scene(original_question, original_scene)
cf_question, cf_params = generate_question_for_counterfactual(
cf_type, original_scene, cf_scene, retry_index=cf_retry,
original_question=original_question, original_params=params
)
if cf_question is None or cf_params is None:
continue
# Matte/shin can yield "unknown" when the object is removed; only allow for attribute-swap CFs.
if "matte or shiny" in (original_question or "").lower() and cf_type in ("add_object", "remove_object"):
continue
original_ans_cf_q = answer_question_for_scene(cf_question, original_scene)
cf_ans_orig_q = answer_question_for_scene(original_question, cf_scene)
cf_ans_cf_q = answer_question_for_scene(cf_question, cf_scene)
orig_diff = calculate_question_difficulty(original_question, params)
cf_diff = calculate_question_difficulty(cf_question, cf_params)
except Exception:
continue
# Answers must change between original and counterfactual images for both questions.
if normalize_answer(original_ans_orig) == normalize_answer(cf_ans_orig_q):
continue
if strict_question_validation:
validity = classify_question_validity(cf_question, original_scene, cf_scene)
required = 'Semantic-Valid' if (cf_type and cf_type in IMAGE_CF_TYPES) else 'Negative-Valid'
if validity != required:
continue
else:
if normalize_answer(original_ans_cf_q) == normalize_answer(cf_ans_cf_q):
continue
if with_links:
def _link(fn, ft='image'):
return f"{base_url.rstrip('/')}/{ft}s/{fn}" if base_url else f"{ft}s/{fn}"
rows.append([
scene_num,
_link(original_id, 'image'), _link(original_id.replace('.png', '.json'), 'scene'),
_link(cf_id, 'image'), _link(cf_id.replace('.png', '.json'), 'scene'),
cf_type, cf_description,
original_question, cf_question, orig_diff, cf_diff,
original_ans_orig, original_ans_cf_q, cf_ans_orig_q, cf_ans_cf_q
])
else:
rows.append([
original_id, cf_id, cf_type, cf_description,
original_question, cf_question, orig_diff, cf_diff,
original_ans_orig, original_ans_cf_q, cf_ans_orig_q, cf_ans_cf_q
])
appended = True
break
if not appended and generate_questions:
pass # skip this (original, CF) pair after MAX_CF_ANSWER_RETRIES
else:
if with_links:
def _link(fn, ft='image'):
return f"{base_url.rstrip('/')}/{ft}s/{fn}" if base_url else f"{ft}s/{fn}"
rows.append([
scene_num,
_link(original_id, 'image'), _link(original_id.replace('.png', '.json'), 'scene'),
_link(cf_id, 'image'), _link(cf_id.replace('.png', '.json'), 'scene'),
cf_type, cf_description
])
else:
rows.append([original_id, cf_id, cf_type, cf_description])
continue
if 'original' not in scene_data or 'cf1' not in scene_data or 'cf2' not in scene_data:
print(f"WARNING: Scene {scene_num} missing images")
continue
original_id = scene_data['original']
cf1_id = scene_data['cf1']
cf2_id = scene_data['cf2']
if generate_questions:
original_scene_file = find_scene_file(scenes_dir, original_id)
cf1_scene_file = find_scene_file(scenes_dir, cf1_id)
cf2_scene_file = find_scene_file(scenes_dir, cf2_id)
if not all([original_scene_file, cf1_scene_file, cf2_scene_file]):
print(f"WARNING: Scene {scene_num} missing scene files")
continue
try:
original_scene = load_scene(original_scene_file)
cf1_scene = load_scene(cf1_scene_file)
cf2_scene = load_scene(cf2_scene_file)
except Exception as e:
import traceback
traceback.print_exc()
continue
try:
original_question, params = generate_question_for_scene(original_scene_file)
original_ans_orig_q = answer_question_for_scene(original_question, original_scene)
cf1_type = get_cf_type_from_scene(cf1_scene)
cf2_type = get_cf_type_from_scene(cf2_scene)
cf1_description = get_cf_description_from_scene(cf1_scene)
cf2_description = get_cf_description_from_scene(cf2_scene)
except Exception as e:
import traceback
traceback.print_exc()
continue
cf1_question = cf2_question = None
cf1_params = cf2_params = {}
original_difficulty = cf1_difficulty = cf2_difficulty = None
original_ans_cf1_q = original_ans_cf2_q = None
cf1_ans_orig_q = cf1_ans_cf1_q = cf1_ans_cf2_q = None
cf2_ans_orig_q = cf2_ans_cf1_q = cf2_ans_cf2_q = None
orig_norm = normalize_answer(original_ans_orig_q)
for cf_retry in range(MAX_CF_ANSWER_RETRIES):
try:
random.seed(hash((scene_num, idx, cf_retry)))
cf_questions = create_counterfactual_questions(original_question, params, original_scene) if (not cf1_type or not cf2_type) else None
if cf1_type:
cf1_question, cf1_params = generate_question_for_counterfactual(
cf1_type, original_scene, cf1_scene, retry_index=cf_retry,
original_question=original_question, original_params=params
)
if cf1_question is None or cf1_params is None:
continue
else:
cf1_question, cf1_params = cf_questions[0] if cf_questions and len(cf_questions) > 0 else ("How many objects are in the scene?", {})
if cf2_type:
cf2_question, cf2_params = generate_question_for_counterfactual(
cf2_type, original_scene, cf2_scene, retry_index=cf_retry,
original_question=original_question, original_params=params
)
if cf2_question is None or cf2_params is None:
continue
else:
cf2_question, cf2_params = cf_questions[1] if cf_questions and len(cf_questions) > 1 else (cf_questions[0] if cf_questions else ("How many objects are in the scene?", {}))
# Matte/shin can yield "unknown" when the object is removed; only allow for attribute-swap CFs.
if "matte or shiny" in (original_question or "").lower() and (cf1_type in ("add_object", "remove_object") or cf2_type in ("add_object", "remove_object")):
continue
except Exception as e:
import traceback
traceback.print_exc()
continue
try:
original_difficulty = calculate_question_difficulty(original_question, params)
cf1_difficulty = calculate_question_difficulty(cf1_question, cf1_params)
cf2_difficulty = calculate_question_difficulty(cf2_question, cf2_params)
except Exception as e:
import traceback
traceback.print_exc()
continue
try:
original_ans_cf1_q = answer_question_for_scene(cf1_question, original_scene)
original_ans_cf2_q = answer_question_for_scene(cf2_question, original_scene)
cf1_ans_orig_q = answer_question_for_scene(original_question, cf1_scene)
cf1_ans_cf1_q = answer_question_for_scene(cf1_question, cf1_scene)
cf1_ans_cf2_q = answer_question_for_scene(cf2_question, cf1_scene)
cf2_ans_orig_q = answer_question_for_scene(original_question, cf2_scene)
cf2_ans_cf1_q = answer_question_for_scene(cf1_question, cf2_scene)
cf2_ans_cf2_q = answer_question_for_scene(cf2_question, cf2_scene)
except Exception as e:
import traceback
traceback.print_exc()
continue
# Original question answer must change between original and each counterfactual image.
orig_n = normalize_answer(original_ans_orig_q)
if orig_n == normalize_answer(cf1_ans_orig_q) or orig_n == normalize_answer(cf2_ans_orig_q):
continue
if strict_question_validation:
cf1_validity = classify_question_validity(cf1_question, original_scene, cf1_scene)
cf2_validity = classify_question_validity(cf2_question, original_scene, cf2_scene)
cf1_required = 'Semantic-Valid' if (cf1_type and cf1_type in IMAGE_CF_TYPES) else 'Negative-Valid'
cf2_required = 'Semantic-Valid' if (cf2_type and cf2_type in IMAGE_CF_TYPES) else 'Negative-Valid'
cf1_ok = (cf1_required == cf1_validity)
cf2_ok = (cf2_required == cf2_validity)
if cf1_ok and cf2_ok:
break
else:
# change_position, swap_attribute, relational_flip now use strict spatial/compositional routing and must pass Semantic-Valid.
cf1_differs = (cf1_type not in IMAGE_CF_TYPES) or (normalize_answer(original_ans_cf1_q) != normalize_answer(cf1_ans_cf1_q))
cf2_differs = (cf2_type not in IMAGE_CF_TYPES) or (normalize_answer(original_ans_cf2_q) != normalize_answer(cf2_ans_cf2_q))
if cf1_differs or cf2_differs:
break
else:
print(f"WARNING: Scene {scene_num}: could not find questions with different answers for both CFs after {MAX_CF_ANSWER_RETRIES} retries (scene included with best-effort questions)")
try:
if with_links:
def make_link(filename, file_type='image'):
if base_url:
return f"{base_url.rstrip('/')}/{file_type}s/{filename}"
else:
return f"{file_type}s/{filename}"
original_image_link = make_link(original_id, 'image')
original_scene_link = make_link(original_id.replace('.png', '.json'), 'scene')
cf1_image_link = make_link(cf1_id, 'image')
cf1_scene_link = make_link(cf1_id.replace('.png', '.json'), 'scene')
cf2_image_link = make_link(cf2_id, 'image')
cf2_scene_link = make_link(cf2_id.replace('.png', '.json'), 'scene')
rows.append([
scene_num,
original_image_link, original_scene_link,
cf1_image_link, cf1_scene_link,
cf2_image_link, cf2_scene_link,
cf1_type, cf2_type, cf1_description, cf2_description,
original_question, cf1_question, cf2_question,
original_difficulty, cf1_difficulty, cf2_difficulty,
original_ans_orig_q, original_ans_cf1_q, original_ans_cf2_q,
cf1_ans_orig_q, cf1_ans_cf1_q, cf1_ans_cf2_q,
cf2_ans_orig_q, cf2_ans_cf1_q, cf2_ans_cf2_q
])
else:
rows.append([
original_id, cf1_id, cf2_id,
cf1_type, cf2_type, cf1_description, cf2_description,
original_question, cf1_question, cf2_question,
original_difficulty, cf1_difficulty, cf2_difficulty,
original_ans_orig_q, original_ans_cf1_q, original_ans_cf2_q,
cf1_ans_orig_q, cf1_ans_cf1_q, cf1_ans_cf2_q,
cf2_ans_orig_q, cf2_ans_cf1_q, cf2_ans_cf2_q
])
except Exception as e:
import traceback
traceback.print_exc()
continue
else:
cf1_type = cf2_type = cf1_description = cf2_description = ''
cf1_scene_file = find_scene_file(scenes_dir, cf1_id)
cf2_scene_file = find_scene_file(scenes_dir, cf2_id)
if cf1_scene_file and cf2_scene_file:
try:
cf1_scene = load_scene(cf1_scene_file)
cf2_scene = load_scene(cf2_scene_file)
cf1_type = get_cf_type_from_scene(cf1_scene) or ''
cf2_type = get_cf_type_from_scene(cf2_scene) or ''
cf1_description = get_cf_description_from_scene(cf1_scene) or ''
cf2_description = get_cf_description_from_scene(cf2_scene) or ''
except Exception:
pass
if with_links:
def make_link(filename, file_type='image'):
if base_url:
return f"{base_url.rstrip('/')}/{file_type}s/{filename}"
else:
return f"{file_type}s/{filename}"
original_image_link = make_link(original_id, 'image')
original_scene_link = make_link(original_id.replace('.png', '.json'), 'scene')
cf1_image_link = make_link(cf1_id, 'image')
cf1_scene_link = make_link(cf1_id.replace('.png', '.json'), 'scene')
cf2_image_link = make_link(cf2_id, 'image')
cf2_scene_link = make_link(cf2_id.replace('.png', '.json'), 'scene')
rows.append([
scene_num,
original_image_link, original_scene_link,
cf1_image_link, cf1_scene_link,
cf2_image_link, cf2_scene_link,
cf1_type, cf2_type, cf1_description, cf2_description
])
else:
rows.append([original_id, cf1_id, cf2_id, cf1_type, cf2_type, cf1_description, cf2_description])
csv_path = os.path.join(run_dir, csv_filename)
try:
with open(csv_path, 'w', newline='', encoding='utf-8') as f:
writer = csv.writer(f, quoting=csv.QUOTE_ALL)
writer.writerows(rows)
except Exception as e:
import traceback
traceback.print_exc()
return
print(f"\n[OK] Generated mapping CSV: {csv_path}")
print(f" Total rows: {len(rows) - 1}")
print("\nSample entry:")
if len(rows) > 1:
row = rows[1]
if single_cf_per_row:
if generate_questions and len(row) >= 12:
print(f" Images: Original: {row[0]}, Counterfactual: {row[1]}")
print(f" CF type / description: {row[2]}, {row[3]!r}")
print(f" Questions: Original: {row[4]}, CF: {row[5]}")
print(f" Answers: orig→orig_q: {row[8]}, orig→cf_q: {row[9]}, cf→orig_q: {row[10]}, cf→cf_q: {row[11]}")
elif len(row) >= 4:
print(f" Images: Original: {row[0]}, Counterfactual: {row[1]}")
print(f" CF type / description: {row[2]}, {row[3]!r}")
elif with_links:
if generate_questions:
print(f" Scene ID: {row[0]}")
print(f" Links:")
print(f" Original image: {row[1]}, scene: {row[2]}")
print(f" CF1 image: {row[3]}, scene: {row[4]}")
print(f" CF2 image: {row[5]}, scene: {row[6]}")
print(f" CF type / description: CF1 type={row[7]}, CF2 type={row[8]}; CF1 desc={row[9]!r}, CF2 desc={row[10]!r}")
print(f" Questions: Original: {row[11]}, CF1: {row[12]}, CF2: {row[13]}")
else:
print(f" Scene ID: {row[0]}")
print(f" Links:")
print(f" Original image: {row[1]}, scene: {row[2]}")
print(f" CF1 image: {row[3]}, scene: {row[4]}")
print(f" CF2 image: {row[5]}, scene: {row[6]}")
print(f" CF type / description: CF1 type={row[7]}, CF2 type={row[8]}; CF1 desc={row[9]!r}, CF2 desc={row[10]!r}")
elif generate_questions and len(row) > 14:
print(f" Images: Original: {row[0]}, CF1: {row[1]}, CF2: {row[2]}")
print(f" CF type / description: CF1 type={row[3]}, CF2 type={row[4]}; CF1 desc={row[5]!r}, CF2 desc={row[6]!r}")
print(f" Questions: Original: {row[7]}, CF1: {row[8]}, CF2: {row[9]}")
print(f" Answer Matrix (scene × question):")
print(f" Original image -> Orig Q: {row[10]}, CF1 Q: {row[11]}, CF2 Q: {row[12]}")
print(f" CF1 image -> Orig Q: {row[13]}, CF1 Q: {row[14]}, CF2 Q: {row[15]}")
print(f" CF2 image -> Orig Q: {row[16]}, CF1 Q: {row[17]}, CF2 Q: {row[18]}")
elif len(row) >= 7:
print(f" Images: Original: {row[0]}, CF1: {row[1]}, CF2: {row[2]}")
print(f" CF type / description: CF1 type={row[3]}, CF2 type={row[4]}; CF1 desc={row[5]!r}, CF2 desc={row[6]!r}")
def main():
parser = argparse.ArgumentParser(
description='Generate CSV with original and VARIED counterfactual questions applied to all scenes'
)
parser.add_argument('--output_dir', default='output',
help='Run directory or base output directory (default: output)')
parser.add_argument('--auto_latest', action='store_true',
help='Automatically find and use the latest run in output_dir')
parser.add_argument('--csv_name', default='image_mapping_with_questions.csv',
help='Output CSV filename')
parser.add_argument('--generate_questions', action='store_true',
help='Generate questions and answers for each scene set')
parser.add_argument('--no_strict_validation', action='store_true',
help='Disable strict question validation (Semantic-Valid / Negative-Valid classifier); use legacy accept logic')
parser.add_argument('--single_cf_per_row', action='store_true',
help='Emit one row per (original, single counterfactual) instead of one row per (original, cf1, cf2). CSV columns: original_image, counterfactual_image, counterfactual_type, counterfactual_description [, + Q&A if --generate_questions].')
args = parser.parse_args()
if args.auto_latest:
run_dir = find_latest_run(args.output_dir)
if run_dir is None:
print(f"ERROR: Could not find any run directories in {args.output_dir}")
return
else:
if os.path.exists(os.path.join(args.output_dir, 'images')) and \
os.path.exists(os.path.join(args.output_dir, 'scenes')):
run_dir = args.output_dir
else:
run_dir = find_latest_run(args.output_dir)
if run_dir is None:
print(f"ERROR: {args.output_dir} does not contain images/scenes directories")
print(f" and no run directories found in {args.output_dir}")
return
print(f"Auto-detected run directory: {run_dir}")
generate_mapping_with_questions(
run_dir,
args.csv_name,
args.generate_questions,
strict_question_validation=not args.no_strict_validation,
single_cf_per_row=getattr(args, 'single_cf_per_row', False)
)
if __name__ == '__main__':
main() |