| from pathlib import Path |
| import os |
| import argparse |
| import random |
| import numpy as np |
| from sklearn.utils import shuffle |
|
|
|
|
| if __name__ == "__main__": |
| """ |
| this is a standalone script to process a km file |
| specifically, to dedup or remove tokens that repeat less |
| than k times in a row |
| """ |
| parser = argparse.ArgumentParser(description="") |
| parser.add_argument("tsv", type=str, help="path to tsv file") |
| parser.add_argument("km", type=str, help="path to km file") |
| parser.add_argument("--destdir", required=True, type=str) |
| parser.add_argument("--valid-percent", type=float, default=0.05, help="percent to allocate to validation set") |
| parser.add_argument("--test-percent", type=float, default=0.05, help="percent to allocate to test set") |
| parser.add_argument("-sh", "--shuffle", action="store_true", help="path to km file") |
| parser.add_argument("--seed", type=int, default=42, help="") |
| args = parser.parse_args() |
| |
| np.random.seed(args.seed) |
| random.seed(args.seed) |
|
|
| os.makedirs(args.destdir, exist_ok=True) |
| km = open(args.km, "r").readlines() |
| tsv = open(args.tsv, "r").readlines() |
| root, tsv = tsv[0], tsv[1:] |
|
|
| assert args.tsv.endswith(".tsv") and args.km.endswith(".km") |
| assert len(tsv) == len(km) |
|
|
| if args.shuffle: |
| tsv, km = shuffle(tsv, km) |
| print(f"shuffled") |
|
|
| N = len(tsv) |
| N_tt = int(N * args.test_percent) |
| N_cv = int(N * args.valid_percent) |
| N_tr = N - N_tt - N_cv |
|
|
| train_tsv = tsv[:N_tr] |
| valid_tsv = tsv[N_tr:N_tr + N_cv] |
| test_tsv = tsv[N_tr + N_cv:] |
| train_km = km[:N_tr] |
| valid_km = km[N_tr:N_tr + N_cv] |
| test_km = km[N_tr + N_cv:] |
|
|
| assert len(train_tsv) + len(valid_tsv) + len(test_tsv) == len(tsv) |
| assert len(train_tsv) == len(train_km) and len(valid_tsv) == len(valid_km) and len(test_tsv) == len(test_km) |
|
|
| dir = Path(args.destdir) |
| open(dir / f"train.tsv", "w").writelines([root] + train_tsv) |
| open(dir / f"valid.tsv", "w").writelines([root] + valid_tsv) |
| open(dir / f"test.tsv", "w").writelines([root] + test_tsv) |
| open(dir / f"train.km", "w").writelines(train_km) |
| open(dir / f"valid.km", "w").writelines(valid_km) |
| open(dir / f"test.km", "w").writelines(test_km) |
| print(f"train: {len(train_km)}") |
| print(f"valid: {len(valid_km)}") |
| print(f"test: {len(test_km)}") |
| print("done") |
|
|
