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Shared resolution of per-rater synthetic-ratings tables.
Every analysis that consumes synthetic ratings takes a `--model <slug>` and
routes through here, so adding a rater never means editing a hardcoded path.
data/main_study/synth_long_{audio,text}_table_<slug>.csv
`gpt4o` falls back to the unsuffixed tables the paper was written against, so
running any of these scripts with no arguments reproduces the published
numbers exactly.
"""
from __future__ import annotations
from pathlib import Path
import pandas as pd
STUDY = Path("data/main_study")
DEFAULT_MODEL = "gpt4o"
def synth_path(model: str, modality: str) -> Path:
"""Path to one rater's long table. modality in {'audio', 'text'}."""
path = STUDY / f"synth_long_{modality}_table_{model}.csv"
if path.exists():
return path
fallback = STUDY / f"synth_long_{modality}_table.csv"
if model == DEFAULT_MODEL and fallback.exists():
return fallback
raise FileNotFoundError(
f"{path} not found. Generate it with:\n"
f" python analysis/01_data_prep/03_synth_to_long_csv_multi.py "
f"--model {model}"
)
def load_synth(model: str, modality: str) -> pd.DataFrame:
return pd.read_csv(synth_path(model, modality))
def add_model_arg(parser) -> None:
parser.add_argument(
"--model", default=DEFAULT_MODEL,
help=f"synthetic rater slug (default: {DEFAULT_MODEL}, the published run)",
)
def tag(model: str) -> str:
"""
Filename suffix for outputs.
Empty for the default rater so the published artifacts keep their names and
are overwritten in place; '_<slug>' for anything else so a new rater cannot
silently clobber the paper's figures.
"""
return "" if model == DEFAULT_MODEL else f"_{model}"
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