Datasets:
Tasks:
Text Classification
Formats:
parquet
Languages:
Ancient Greek (to 1453)
Size:
10K - 100K
License:
File size: 1,259 Bytes
e1e2e3d | 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 | """Canonical JSON representation for model-facing text units."""
from __future__ import annotations
import json
def load_text_units(encoded: str) -> list[str]:
"""Load a published text field and enforce a non-empty string list."""
units = json.loads(encoded)
if not isinstance(units, list) or not units:
raise ValueError("text must encode a non-empty JSON list")
if not all(isinstance(unit, str) and unit.strip() for unit in units):
raise ValueError("every text unit must be a non-empty string")
return units
def source_text_units(value: str) -> list[str]:
"""Accept either an internal atomic string or published JSON text units."""
try:
return load_text_units(value)
except (json.JSONDecodeError, TypeError, ValueError):
if not isinstance(value, str) or not value.strip():
raise ValueError("source text must be a non-empty string")
return [value]
def encode_text_units(units: list[str]) -> str:
"""Serialize text units without losing their original strings."""
if not units or not all(isinstance(unit, str) and unit.strip() for unit in units):
raise ValueError("text units must be non-empty strings")
return json.dumps(units, ensure_ascii=False)
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