Datasets:
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2dc5178 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 | #!/usr/bin/env python3
"""Validate the structure and cross-file alignment of the AraDetox CSV files."""
from __future__ import annotations
import csv
import sys
from collections import Counter
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
DATA = ROOT / "data"
GPT_PATH = DATA / "AraDetox-GPT.csv"
GEMINI_PATH = DATA / "AraDetox-Gemini.csv"
MERGED_PATH = DATA / "merged-gpt-gemini.csv"
CORE = ["ID", "split", "source", "source_text"]
GPT_FIELDS = [
"gpt_msa_detox",
"gpt_gulf_detox",
"gpt_levantine_detox",
"gpt_egyptian_detox",
]
GEMINI_FIELDS = [
"gemini_msa_detox",
"gemini_gulf_detox",
"gemini_levantine_detox",
"gemini_egyptian_detox",
]
def load(path: Path) -> tuple[list[str], list[dict[str, str]]]:
if not path.exists():
raise FileNotFoundError(f"Missing file: {path}")
with path.open("r", encoding="utf-8-sig", newline="") as handle:
reader = csv.DictReader(handle)
if reader.fieldnames is None:
raise ValueError(f"Missing header: {path}")
return reader.fieldnames, list(reader)
def validate_file(path: Path, expected_header: list[str]) -> list[dict[str, str]]:
header, rows = load(path)
errors: list[str] = []
if header != expected_header:
errors.append(f"Unexpected header: {header}")
ids = [row.get("ID", "") for row in rows]
if len(ids) != len(set(ids)):
errors.append("IDs are not unique")
empty = sum(any(value.strip() == "" for value in row.values()) for row in rows)
if empty:
errors.append(f"{empty} rows contain empty values")
if errors:
raise ValueError(f"{path.name}: " + "; ".join(errors))
print(f"PASS {path.name}: {len(rows):,} rows")
return rows
def main() -> int:
try:
gpt = validate_file(GPT_PATH, CORE + GPT_FIELDS)
gemini = validate_file(GEMINI_PATH, CORE + GEMINI_FIELDS)
merged = validate_file(MERGED_PATH, CORE + GPT_FIELDS + GEMINI_FIELDS)
except (FileNotFoundError, ValueError) as exc:
print(f"ERROR: {exc}", file=sys.stderr)
return 1
if not (len(gpt) == len(gemini) == len(merged)):
print("ERROR: Row counts differ across files", file=sys.stderr)
return 1
mismatches: list[tuple[str, str]] = []
for gpt_row, gemini_row, merged_row in zip(gpt, gemini, merged):
record_id = merged_row["ID"]
for field in CORE:
if not (gpt_row[field] == gemini_row[field] == merged_row[field]):
mismatches.append((record_id, field))
for field in GPT_FIELDS:
if gpt_row[field] != merged_row[field]:
mismatches.append((record_id, field))
for field in GEMINI_FIELDS:
if gemini_row[field] != merged_row[field]:
mismatches.append((record_id, field))
print("Split distribution:", dict(Counter(row["split"] for row in gpt)))
print("Source distribution:", dict(Counter(row["source"] for row in gpt)))
if mismatches:
print(f"WARNING: Found {len(mismatches)} cross-file mismatch(es):")
for record_id, field in mismatches:
print(f" ID={record_id}, field={field}")
return 2
print("PASS Cross-file alignment")
return 0
if __name__ == "__main__":
raise SystemExit(main())
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