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ba19370 | 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 | """CLI: download FiNER-139, align labels, split into train/val/test.
Usage:
python scripts/prepare_data.py
python scripts/prepare_data.py --seed 123
"""
from __future__ import annotations
import argparse
import logging
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parents[1] / "src"))
from rich.console import Console
from rich.table import Table
from collections import Counter
from finner.data.load import load_all
from finner.data.split import split_and_save
from finner.labels import ENTITY_TYPES
logging.basicConfig(level=logging.INFO, format="%(levelname)s %(message)s")
console = Console()
def label_distribution(examples: list[dict]) -> dict:
counts = Counter()
for ex in examples:
for tag in ex["ner_tags"]:
if tag != "O":
counts[tag.split("-", 1)[1]] += 1
return dict(counts)
def main():
parser = argparse.ArgumentParser(description="Prepare FinNER training data")
parser.add_argument("--seed", type=int, default=42)
args = parser.parse_args()
console.print("[bold cyan]Step 1: Loading FiNER-139...[/bold cyan]")
examples = load_all()
console.print(f"Loaded [bold]{len(examples)}[/bold] examples total.")
console.print("\n[bold cyan]Step 2: Splitting (stratified, 70/15/15)...[/bold cyan]")
train, val, test = split_and_save(examples, seed=args.seed)
# Print distribution stats
table = Table(title="Label distribution by split", show_header=True)
table.add_column("Entity Type", style="cyan")
table.add_column("Train", justify="right")
table.add_column("Val", justify="right")
table.add_column("Test", justify="right")
train_dist = label_distribution(train)
val_dist = label_distribution(val)
test_dist = label_distribution(test)
for etype in ENTITY_TYPES:
table.add_row(
etype,
str(train_dist.get(etype, 0)),
str(val_dist.get(etype, 0)),
str(test_dist.get(etype, 0)),
)
console.print(table)
console.print(f"\n[bold green]✓ Done.[/bold green] Splits saved to data/splits/")
console.print(f" train: {len(train):,} val: {len(val):,} test: {len(test):,}")
console.print("\n[yellow]Note: O-class dominance is expected and will be addressed in Phase 3.[/yellow]")
if __name__ == "__main__":
main()
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