File size: 3,511 Bytes
715cc5a | 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 | from __future__ import annotations
import argparse
from pathlib import Path
from src.data.io_utils import read_jsonl, write_csv
from src.data.normalize_text import word_count
def summarize_lengths(lengths: list[int]) -> dict[str, object]:
lengths = sorted(lengths)
if not lengths:
return {
"count": 0,
"mean_words": 0,
"p50_words": 0,
"p95_words": 0,
"p99_words": 0,
"max_words": 0,
}
return {
"count": len(lengths),
"mean_words": round(sum(lengths) / len(lengths), 3),
"p50_words": lengths[int(0.50 * (len(lengths) - 1))],
"p95_words": lengths[int(0.95 * (len(lengths) - 1))],
"p99_words": lengths[int(0.99 * (len(lengths) - 1))],
"max_words": max(lengths),
}
def add_rows(rows: list[dict], dataset: str, split: str, file_name: str, records: list[dict], fields: list[str]) -> None:
for field in fields:
lengths = [word_count(record.get(field)) for record in records if record.get(field) is not None]
summary = summarize_lengths(lengths)
rows.append({"dataset": dataset, "split": split, "file": file_name, "field": field, **summary})
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--data-root", type=Path, default=Path("data_processed"))
parser.add_argument("--output", type=Path, default=Path("outputs/stats/token_length_report.csv"))
args = parser.parse_args()
rows: list[dict] = []
for split in ["train", "dev", "test"]:
path = args.data_root / "vifactcheck" / f"claims_{split}.jsonl"
if path.exists():
add_rows(rows, "vifactcheck", split, path.name, read_jsonl(path), ["claim", "context"])
for file_name, field, split in [
("context_sentences.jsonl", "text", "all"),
("context_chunks.jsonl", "text", "all"),
("gold_evidence.jsonl", "text", "all"),
]:
path = args.data_root / "vifactcheck" / file_name
if path.exists():
add_rows(rows, "vifactcheck", split, file_name, read_jsonl(path), [field])
for split in ["train_inner", "dev_inner", "local_test", "hidden_test"]:
path = args.data_root / "averitec" / f"claims_{split}.jsonl"
if path.exists():
add_rows(rows, "averitec", split, path.name, read_jsonl(path), ["claim"])
for file_name in ["qa_evidence.jsonl", "evidence_store.jsonl"]:
path = args.data_root / "averitec" / file_name
if path.exists():
fields = ["question", "answer", "evidence_text"] if file_name == "qa_evidence.jsonl" else ["text"]
add_rows(rows, "averitec", "all_labeled_evidence", file_name, read_jsonl(path), fields)
for split in ["train", "dev", "test"]:
path = args.data_root / "healthver" / f"pairs_{split}.jsonl"
if path.exists():
add_rows(rows, "healthver", split, path.name, read_jsonl(path), ["claim", "evidence"])
grouped_path = args.data_root / "healthver" / f"claims_grouped_{split}.jsonl"
if grouped_path.exists():
add_rows(rows, "healthver", split, grouped_path.name, read_jsonl(grouped_path), ["claim"])
path = args.data_root / "healthver" / "evidence_sentences.jsonl"
if path.exists():
add_rows(rows, "healthver", "all", path.name, read_jsonl(path), ["text"])
write_csv(args.output, rows)
print(f"Wrote token length report to {args.output}")
if __name__ == "__main__":
main()
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