Datasets:
Tasks:
Text Classification
Formats:
parquet
Languages:
Ancient Greek (to 1453)
Size:
100K - 1M
License:
| #!/usr/bin/env python3 | |
| """Regenerate all Sphragis task variants from the current atomic datasets.""" | |
| from __future__ import annotations | |
| import argparse | |
| import json | |
| import os | |
| from pathlib import Path | |
| import tempfile | |
| import pyarrow as pa | |
| import pyarrow.parquet as pq | |
| try: | |
| from scripts.dataset_variants import ( | |
| BASE_CONFIGS, | |
| SPLITS, | |
| make_dataset_variants, | |
| variant_schema, | |
| ) | |
| from scripts.metrical_lines import sanitize_metrical_lines | |
| except ModuleNotFoundError: # Direct execution from the scripts directory. | |
| from dataset_variants import ( # type: ignore[no-redef] | |
| BASE_CONFIGS, | |
| SPLITS, | |
| make_dataset_variants, | |
| variant_schema, | |
| ) | |
| from metrical_lines import sanitize_metrical_lines | |
| def read_full_configs(data_root: Path) -> tuple[dict[str, list[dict]], dict[str, pa.Schema]]: | |
| rows_by_config = {} | |
| schemas = {} | |
| for base_config in BASE_CONFIGS: | |
| rows = [] | |
| for split in SPLITS: | |
| path = data_root / f"{base_config}_1" / f"{split}-00000-of-00001.parquet" | |
| parquet = pq.ParquetFile(path) | |
| table = parquet.read(use_threads=False) | |
| if base_config == "verse_metre" and "scansion" in table.column_names: | |
| table = table.drop(["scansion"]) | |
| schemas.setdefault(base_config, table.schema) | |
| assert table.schema == schemas[base_config] | |
| split_rows = table.to_pylist() | |
| if base_config == "verse_sentence": | |
| for row in split_rows: | |
| row["metrical_lines"] = sanitize_metrical_lines( | |
| row["metrical_lines"] | |
| ) | |
| rows.extend(split_rows) | |
| rows_by_config[base_config] = rows | |
| return rows_by_config, schemas | |
| def write_variants( | |
| data_root: Path, | |
| variants: dict[str, list[dict]], | |
| schemas: dict[str, pa.Schema], | |
| ) -> None: | |
| for config, rows in variants.items(): | |
| base_config = config.rsplit("_", 1)[0] | |
| schema = ( | |
| schemas[base_config] | |
| if config.endswith("_1") | |
| else variant_schema(schemas[base_config]) | |
| ) | |
| config_root = data_root / config | |
| config_root.mkdir(parents=True, exist_ok=True) | |
| for split in SPLITS: | |
| split_rows = [row for row in rows if row["split"] == split] | |
| table = pa.Table.from_pylist(split_rows, schema=schema) | |
| destination = config_root / f"{split}-00000-of-00001.parquet" | |
| descriptor, temporary_name = tempfile.mkstemp( | |
| dir=config_root, | |
| prefix=f".{destination.name}.", | |
| suffix=".tmp", | |
| ) | |
| os.close(descriptor) | |
| temporary = Path(temporary_name) | |
| try: | |
| pq.write_table( | |
| table, | |
| temporary, | |
| compression="zstd", | |
| compression_level=9, | |
| ) | |
| temporary.replace(destination) | |
| finally: | |
| temporary.unlink(missing_ok=True) | |
| def main() -> None: | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--data", type=Path, default=Path("data")) | |
| parser.add_argument("--report", type=Path) | |
| args = parser.parse_args() | |
| rows_by_config, schemas = read_full_configs(args.data) | |
| variants, report = make_dataset_variants(rows_by_config) | |
| write_variants(args.data, variants, schemas) | |
| rendered = json.dumps(report, indent=2, ensure_ascii=False, sort_keys=True) + "\n" | |
| if args.report: | |
| args.report.write_text(rendered) | |
| print(rendered, end="") | |
| if __name__ == "__main__": | |
| main() | |