File size: 8,319 Bytes
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Between Events task generator for temporal reasoning dataset.
Multi-hop task: Identifies or counts sounds occurring inside the temporal
window between two anchor events in a sequential audio scene.
"""
import random
from pathlib import Path
from typing import Dict, List, Optional
from utils import (
setup_logger,
set_random_seed,
concatenate_to_target_duration,
generate_controlled_gap_durations,
)
from tasks.multihop_base import MultihopBaseGenerator
class BetweenEventsTaskGenerator(MultihopBaseGenerator):
"""Generates between_events task dataset samples."""
TASK_NAME = "between_events"
def generate_sample(
self,
sample_id: int,
target_duration_seconds: float = None,
question_type: str = None,
) -> Optional[Dict]:
"""
Generate a single between_events sample.
Pipeline:
1. Build sequential scene with 5-8 unique events
2. Pick two anchor events (sound1, sound2) with at least 1 event between
3. Identify or count events in the window
4. Generate question
"""
n_events = random.randint(
self.task_config.get("min_events", 5),
self.task_config.get("max_events", 8),
)
# Need unique categories so "between" is unambiguous
n_events = min(n_events, len(self.dataset.CATEGORIES))
categories = self.dataset.sample_categories(n_events)
random.shuffle(categories)
# Build audio
final_audio, source_files, events_meta = self._build_scene(
categories, target_duration_seconds
)
output_path = self.audio_output / f"{sample_id}.wav"
final_audio.export(str(output_path), format="wav")
if question_type is None:
question_type = random.choice(self.task_config["question_types"])
# Pick two anchors with at least one event between them
if n_events < 3:
self.logger.warning(f"Sample {sample_id}: Not enough events for between")
return None
idx1 = random.randint(0, n_events - 3)
idx2 = random.randint(idx1 + 2, n_events - 1)
sound1 = categories[idx1]
sound2 = categories[idx2]
between_cats = categories[idx1 + 1 : idx2]
mcq_data, open_data, q_meta = self._generate_question(
question_type, sound1, sound2, between_cats, categories
)
if mcq_data is None:
return None
metadata = {
"id": sample_id,
"audio_path": str(output_path.relative_to(self.output_base.parent)),
"n_events": n_events,
"categories": categories,
"source_files": source_files,
"question_type": question_type,
"sound1": sound1,
"sound2": sound2,
"between_events": between_cats,
"target_duration_s": target_duration_seconds,
"actual_duration_s": len(final_audio) / 1000.0,
"mcq_question": mcq_data["question"],
"mcq_options": mcq_data["options"],
"mcq_correct_answer": mcq_data["correct_answer"],
"open_text_question": open_data["question"],
"open_text_answer": open_data["correct_answer"],
**q_meta,
}
self.logger.info(
f"Generated between_events sample {sample_id}: "
f"{n_events} events, type={question_type}"
)
return metadata
def _build_scene(self, categories, target_duration_s):
"""Build sequential audio scene."""
from pydub import AudioSegment as PydubSegment
n = len(categories)
num_gaps = n - 1
per_event_s = max(self.source_clip_duration, (target_duration_s or 30) / n)
source_files = []
audio_segments = []
for cat in categories:
fname, fpath = self.dataset.sample_file_from_category(cat)
audio = self.audio_processor.load_audio(fpath)
audio_segments.append(audio)
source_files.append(fname)
if num_gaps > 0:
gap_durations = generate_controlled_gap_durations(
num_gaps, min_gap_ms=300, max_gap_ms=1500, gap_multiplier=2.0
)
else:
gap_durations = []
result = audio_segments[0]
events_meta = [{"index": 0, "category": categories[0]}]
for i in range(1, n):
gap_ms = gap_durations[i - 1]
result = result + PydubSegment.silent(duration=gap_ms)
result = result + audio_segments[i]
events_meta.append({"index": i, "category": categories[i]})
return result, source_files, events_meta
def _generate_question(
self, question_type, sound1, sound2, between_cats, all_cats
):
"""Generate between_events question."""
if question_type == "identify_between":
if not between_cats:
return None, None, {}
correct = random.choice(between_cats)
mcq_text = self.task_config["mcq_questions"]["identify_between"].format(sound1=sound1, sound2=sound2)
open_text = self.task_config["open_text_questions"]["identify_between"].format(sound1=sound1, sound2=sound2)
mcq_data = self.question_generator.generate_category_mcq(
mcq_text, correct, between_cats, self.dataset.CATEGORIES
)
open_data = self.question_generator.generate_category_open_text(
open_text, correct
)
q_meta = {"correct_category": correct}
return mcq_data, open_data, q_meta
elif question_type == "count_between":
count = len(between_cats)
mcq_text = self.task_config["mcq_questions"]["count_between"].format(sound1=sound1, sound2=sound2)
open_text = self.task_config["open_text_questions"]["count_between"].format(sound1=sound1, sound2=sound2)
mcq_data = self.question_generator.generate_count_mcq(
mcq_text, count, self.dataset.CATEGORIES
)
open_data = self.question_generator.generate_count_open_text(open_text, count)
q_meta = {"correct_count": count}
return mcq_data, open_data, q_meta
elif question_type == "yes_no_between":
if not between_cats:
return None, None, {}
# 50% true, 50% false
if random.random() < 0.5:
target_sound = random.choice(between_cats)
correct = True
else:
not_between = [c for c in all_cats if c not in between_cats
and c != sound1 and c != sound2]
if not not_between:
target_sound = random.choice(between_cats)
correct = True
else:
target_sound = random.choice(not_between)
correct = False
mcq_text = self.task_config["mcq_questions"]["yes_no_between"].format(target_sound=target_sound, sound1=sound1, sound2=sound2)
open_text = self.task_config["open_text_questions"]["yes_no_between"].format(target_sound=target_sound, sound1=sound1, sound2=sound2)
mcq_data = self.question_generator.generate_yes_no_mcq(mcq_text, correct)
open_data = self.question_generator.generate_yes_no_open_text(open_text, correct)
q_meta = {"target_sound": target_sound, "correct_answer": correct}
return mcq_data, open_data, q_meta
return None, None, {}
def main(config_path: str = None):
"""Main entry point for between_events task generation."""
import yaml
if config_path is None:
config_path = Path(__file__).parent.parent / "config.yaml"
with open(config_path, "r") as f:
config = yaml.safe_load(f)
set_random_seed(config["random_seed"])
logger = setup_logger(
"between_events_task",
log_file=str(Path(config["output"]["base_path"]) / config["logging"]["log_file"]),
level=config["logging"]["level"],
console_output=config["logging"]["console_output"],
)
generator = BetweenEventsTaskGenerator(config, logger)
generator.generate_dataset()
if __name__ == "__main__":
main()
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