Download scripts/validate_human_style_examples.py from edgeclustr/memaudit-code: direct link, hf CLI and curl.
- Browser
- Download file 16.1 kB
-
https://huggingface.co/datasets/edgeclustr/memaudit-code/resolve/4036da0f33dbb5d12e443a722bb000c042e6e5d5/scripts/validate_human_style_examples.py
- Command line
-
hf download hf://datasets/edgeclustr/memaudit-code@4036da0f33dbb5d12e443a722bb000c042e6e5d5/scripts/validate_human_style_examples.py
-
curl -L -o validate_human_style_examples.py https://huggingface.co/datasets/edgeclustr/memaudit-code/resolve/4036da0f33dbb5d12e443a722bb000c042e6e5d5/scripts/validate_human_style_examples.py
16.1 kB
| """Validate human-style OracleMem natural-example JSONL files. | |
| Each input row is expected to be a self-contained example with sessions, | |
| messages, evidence units, query-required evidence IDs, and candidate memories | |
| with per-unit coverage scores. This script performs structural validation only; | |
| it does not judge annotation quality. | |
| """ | |
| from __future__ import annotations | |
| import argparse | |
| import json | |
| import math | |
| import sys | |
| from collections import Counter | |
| from pathlib import Path | |
| from typing import Any | |
| TOP_LEVEL_FIELDS: dict[str, tuple[str, ...]] = { | |
| "id": ("id", "example_id", "instance_id"), | |
| "domain": ("domain",), | |
| "sessions": ("sessions",), | |
| "future_query": ("future_query", "query", "question"), | |
| "required_unit_ids_for_query": ("required_unit_ids_for_query",), | |
| "evidence_units": ("evidence_units",), | |
| "candidate_memories": ("candidate_memories",), | |
| } | |
| FUTURE_QUERY_FIELDS: dict[str, tuple[str, ...]] = { | |
| "text": ("text", "query", "question"), | |
| "answer": ("answer", "gold_answer"), | |
| "should_abstain": ("should_abstain",), | |
| } | |
| SESSION_FIELDS: dict[str, tuple[str, ...]] = { | |
| "session_id": ("session_id", "id"), | |
| "messages": ("messages",), | |
| } | |
| MESSAGE_FIELDS: dict[str, tuple[str, ...]] = { | |
| "role": ("role", "speaker"), | |
| "content": ("content", "text"), | |
| } | |
| EVIDENCE_UNIT_FIELDS: dict[str, tuple[str, ...]] = { | |
| "unit_id": ("unit_id", "id", "evidence_unit_id"), | |
| "text": ("canonical_text", "text"), | |
| } | |
| CANDIDATE_FIELDS: dict[str, tuple[str, ...]] = { | |
| "candidate_id": ("candidate_id", "memory_id", "id"), | |
| "text": ("text", "serialized", "content"), | |
| "coverage": ("coverage", "coverage_by_unit", "unit_coverage", "coverage_scores"), | |
| } | |
| class Validator: | |
| def __init__(self, max_errors: int) -> None: | |
| self.max_errors = max_errors | |
| self.errors: list[str] = [] | |
| self.omitted_errors = 0 | |
| self.seen_example_ids: dict[str, str] = {} | |
| self.domain_counts: Counter[str] = Counter() | |
| self.domain_sessions: Counter[str] = Counter() | |
| self.domain_messages: Counter[str] = Counter() | |
| self.domain_units: Counter[str] = Counter() | |
| self.domain_candidates: Counter[str] = Counter() | |
| self.rows_seen = 0 | |
| def add_error(self, location: str, message: str) -> None: | |
| if len(self.errors) < self.max_errors: | |
| self.errors.append(f"{location}: {message}") | |
| else: | |
| self.omitted_errors += 1 | |
| def truncated_errors(self) -> bool: | |
| return self.omitted_errors > 0 | |
| def first_present(record: dict[str, Any], aliases: tuple[str, ...]) -> tuple[str | None, Any]: | |
| for key in aliases: | |
| if key in record: | |
| return key, record[key] | |
| return None, None | |
| def require_fields( | |
| validator: Validator, | |
| location: str, | |
| record: Any, | |
| fields: dict[str, tuple[str, ...]], | |
| ) -> bool: | |
| if not isinstance(record, dict): | |
| validator.add_error(location, "expected object") | |
| return False | |
| ok = True | |
| for canonical_name, aliases in fields.items(): | |
| key, _ = first_present(record, aliases) | |
| if key is None: | |
| alias_text = "/".join(aliases) | |
| validator.add_error(location, f"missing required field {canonical_name} ({alias_text})") | |
| ok = False | |
| return ok | |
| def as_id(value: Any) -> str | None: | |
| if isinstance(value, str) and value: | |
| return value | |
| if isinstance(value, int) and not isinstance(value, bool): | |
| return str(value) | |
| return None | |
| def validate_stringish(validator: Validator, location: str, field_name: str, value: Any) -> None: | |
| if not isinstance(value, str) or not value.strip(): | |
| validator.add_error(location, f"{field_name} must be a non-empty string") | |
| def validate_id_list( | |
| validator: Validator, | |
| location: str, | |
| field_name: str, | |
| value: Any, | |
| ) -> list[str]: | |
| if not isinstance(value, list): | |
| validator.add_error(location, f"{field_name} must be a list") | |
| return [] | |
| ids: list[str] = [] | |
| seen: set[str] = set() | |
| for index, item in enumerate(value): | |
| item_id = as_id(item) | |
| item_location = f"{location}.{field_name}[{index}]" | |
| if item_id is None: | |
| validator.add_error(item_location, "must be a non-empty string or integer ID") | |
| continue | |
| if item_id in seen: | |
| validator.add_error(item_location, f"duplicate ID {item_id!r}") | |
| seen.add(item_id) | |
| ids.append(item_id) | |
| return ids | |
| def validate_sessions(validator: Validator, location: str, value: Any) -> tuple[int, int]: | |
| if not isinstance(value, list): | |
| validator.add_error(location, "sessions must be a list") | |
| return 0, 0 | |
| session_ids: set[str] = set() | |
| message_count = 0 | |
| for session_index, session in enumerate(value): | |
| session_location = f"{location}.sessions[{session_index}]" | |
| if not require_fields(validator, session_location, session, SESSION_FIELDS): | |
| continue | |
| _, raw_session_id = first_present(session, SESSION_FIELDS["session_id"]) | |
| session_id = as_id(raw_session_id) | |
| if session_id is None: | |
| validator.add_error(session_location, "session_id must be a non-empty string or integer ID") | |
| elif session_id in session_ids: | |
| validator.add_error(session_location, f"duplicate session_id {session_id!r}") | |
| else: | |
| session_ids.add(session_id) | |
| _, messages = first_present(session, SESSION_FIELDS["messages"]) | |
| if not isinstance(messages, list): | |
| validator.add_error(f"{session_location}.messages", "messages must be a list") | |
| continue | |
| message_count += len(messages) | |
| for message_index, message in enumerate(messages): | |
| message_location = f"{session_location}.messages[{message_index}]" | |
| if not require_fields(validator, message_location, message, MESSAGE_FIELDS): | |
| continue | |
| _, role = first_present(message, MESSAGE_FIELDS["role"]) | |
| _, content = first_present(message, MESSAGE_FIELDS["content"]) | |
| validate_stringish(validator, message_location, "role", role) | |
| validate_stringish(validator, message_location, "content", content) | |
| return len(value), message_count | |
| def validate_evidence_units(validator: Validator, location: str, value: Any) -> tuple[set[str], int]: | |
| if not isinstance(value, list): | |
| validator.add_error(location, "evidence_units must be a list") | |
| return set(), 0 | |
| unit_ids: set[str] = set() | |
| for unit_index, unit in enumerate(value): | |
| unit_location = f"{location}.evidence_units[{unit_index}]" | |
| if not require_fields(validator, unit_location, unit, EVIDENCE_UNIT_FIELDS): | |
| continue | |
| _, raw_unit_id = first_present(unit, EVIDENCE_UNIT_FIELDS["unit_id"]) | |
| unit_id = as_id(raw_unit_id) | |
| if unit_id is None: | |
| validator.add_error(unit_location, "unit_id must be a non-empty string or integer ID") | |
| elif unit_id in unit_ids: | |
| validator.add_error(unit_location, f"duplicate unit_id {unit_id!r}") | |
| else: | |
| unit_ids.add(unit_id) | |
| _, text = first_present(unit, EVIDENCE_UNIT_FIELDS["text"]) | |
| validate_stringish(validator, unit_location, "text", text) | |
| return unit_ids, len(value) | |
| def validate_candidate_memories( | |
| validator: Validator, | |
| location: str, | |
| value: Any, | |
| evidence_unit_ids: set[str], | |
| ) -> int: | |
| if not isinstance(value, list): | |
| validator.add_error(location, "candidate_memories must be a list") | |
| return 0 | |
| candidate_ids: set[str] = set() | |
| for candidate_index, candidate in enumerate(value): | |
| candidate_location = f"{location}.candidate_memories[{candidate_index}]" | |
| if not require_fields(validator, candidate_location, candidate, CANDIDATE_FIELDS): | |
| continue | |
| _, raw_candidate_id = first_present(candidate, CANDIDATE_FIELDS["candidate_id"]) | |
| candidate_id = as_id(raw_candidate_id) | |
| if candidate_id is None: | |
| validator.add_error(candidate_location, "candidate_id must be a non-empty string or integer ID") | |
| elif candidate_id in candidate_ids: | |
| validator.add_error(candidate_location, f"duplicate candidate_id {candidate_id!r}") | |
| else: | |
| candidate_ids.add(candidate_id) | |
| _, text = first_present(candidate, CANDIDATE_FIELDS["text"]) | |
| validate_stringish(validator, candidate_location, "text", text) | |
| coverage_key, coverage = first_present(candidate, CANDIDATE_FIELDS["coverage"]) | |
| if not isinstance(coverage, dict): | |
| validator.add_error(candidate_location, "coverage must be an object mapping unit IDs to scores") | |
| continue | |
| for unit_id, score in coverage.items(): | |
| coverage_location = f"{candidate_location}.{coverage_key}[{unit_id!r}]" | |
| if unit_id not in evidence_unit_ids: | |
| validator.add_error(coverage_location, "references unknown evidence unit") | |
| if isinstance(score, bool) or not isinstance(score, (int, float)): | |
| validator.add_error(coverage_location, "coverage score must be numeric") | |
| continue | |
| if not math.isfinite(float(score)) or not 0.0 <= float(score) <= 1.0: | |
| validator.add_error(coverage_location, "coverage score must be in [0, 1]") | |
| return len(value) | |
| def validate_example(validator: Validator, path: Path, line_number: int, row: Any) -> None: | |
| validator.rows_seen += 1 | |
| location = f"{path}:{line_number}" | |
| if not require_fields(validator, location, row, TOP_LEVEL_FIELDS): | |
| if not isinstance(row, dict): | |
| return | |
| assert isinstance(row, dict) | |
| _, raw_example_id = first_present(row, TOP_LEVEL_FIELDS["id"]) | |
| example_id = as_id(raw_example_id) | |
| if example_id is None: | |
| validator.add_error(location, "id must be a non-empty string or integer ID") | |
| example_key = f"<missing-id:{path}:{line_number}>" | |
| else: | |
| example_key = example_id | |
| if example_id in validator.seen_example_ids: | |
| first_location = validator.seen_example_ids[example_id] | |
| validator.add_error(location, f"duplicate example id {example_id!r}; first seen at {first_location}") | |
| else: | |
| validator.seen_example_ids[example_id] = location | |
| _, domain_value = first_present(row, TOP_LEVEL_FIELDS["domain"]) | |
| domain = domain_value if isinstance(domain_value, str) and domain_value else "<missing>" | |
| if domain == "<missing>": | |
| validator.add_error(location, "domain must be a non-empty string") | |
| _, sessions = first_present(row, TOP_LEVEL_FIELDS["sessions"]) | |
| _, evidence_units = first_present(row, TOP_LEVEL_FIELDS["evidence_units"]) | |
| _, required_units = first_present(row, TOP_LEVEL_FIELDS["required_unit_ids_for_query"]) | |
| _, candidate_memories = first_present(row, TOP_LEVEL_FIELDS["candidate_memories"]) | |
| session_count, message_count = validate_sessions(validator, location, sessions) | |
| evidence_unit_ids, unit_count = validate_evidence_units(validator, location, evidence_units) | |
| required_unit_ids = validate_id_list( | |
| validator, | |
| location, | |
| "required_unit_ids_for_query", | |
| required_units, | |
| ) | |
| for unit_id in required_unit_ids: | |
| if unit_id not in evidence_unit_ids: | |
| validator.add_error( | |
| f"{location}.required_unit_ids_for_query", | |
| f"required unit {unit_id!r} is not present in evidence_units", | |
| ) | |
| candidate_count = validate_candidate_memories(validator, location, candidate_memories, evidence_unit_ids) | |
| validator.domain_counts[domain] += 1 | |
| validator.domain_sessions[domain] += session_count | |
| validator.domain_messages[domain] += message_count | |
| validator.domain_units[domain] += unit_count | |
| validator.domain_candidates[domain] += candidate_count | |
| _, future_query = first_present(row, TOP_LEVEL_FIELDS["future_query"]) | |
| if isinstance(future_query, str): | |
| validate_stringish(validator, location, "future_query", future_query) | |
| elif isinstance(future_query, dict): | |
| if require_fields(validator, f"{location}.future_query", future_query, FUTURE_QUERY_FIELDS): | |
| _, query_text = first_present(future_query, FUTURE_QUERY_FIELDS["text"]) | |
| _, answer = first_present(future_query, FUTURE_QUERY_FIELDS["answer"]) | |
| _, should_abstain = first_present( | |
| future_query, FUTURE_QUERY_FIELDS["should_abstain"] | |
| ) | |
| validate_stringish(validator, f"{location}.future_query", "text", query_text) | |
| validate_stringish(validator, f"{location}.future_query", "answer", answer) | |
| if not isinstance(should_abstain, bool): | |
| validator.add_error( | |
| f"{location}.future_query", | |
| "should_abstain must be a boolean", | |
| ) | |
| else: | |
| validator.add_error(location, "future_query must be a non-empty string or object") | |
| # Keep linters honest and make debugging partial records easier. | |
| _ = example_key | |
| def validate_path(validator: Validator, path: Path) -> None: | |
| if not path.exists(): | |
| validator.add_error(str(path), "file does not exist") | |
| return | |
| if not path.is_file(): | |
| validator.add_error(str(path), "path is not a file") | |
| return | |
| with path.open("r", encoding="utf-8") as handle: | |
| for line_number, line in enumerate(handle, start=1): | |
| stripped = line.strip() | |
| if not stripped: | |
| validator.add_error(f"{path}:{line_number}", "blank lines are not valid JSONL records") | |
| continue | |
| try: | |
| row = json.loads(stripped) | |
| except json.JSONDecodeError as exc: | |
| validator.add_error(f"{path}:{line_number}", f"invalid JSON: {exc.msg}") | |
| continue | |
| validate_example(validator, path, line_number, row) | |
| def print_summary(validator: Validator, paths: list[Path]) -> None: | |
| print(f"Validated {validator.rows_seen} records from {len(paths)} file(s).") | |
| print("Domain summary:") | |
| if not validator.domain_counts: | |
| print(" <none>") | |
| else: | |
| for domain in sorted(validator.domain_counts): | |
| print( | |
| " " | |
| f"{domain}: " | |
| f"records={validator.domain_counts[domain]}, " | |
| f"sessions={validator.domain_sessions[domain]}, " | |
| f"messages={validator.domain_messages[domain]}, " | |
| f"evidence_units={validator.domain_units[domain]}, " | |
| f"candidate_memories={validator.domain_candidates[domain]}" | |
| ) | |
| if validator.errors: | |
| print(f"Errors ({len(validator.errors)} shown):") | |
| for error in validator.errors: | |
| print(f" - {error}") | |
| if validator.truncated_errors: | |
| print(f" - {validator.omitted_errors} additional error(s) omitted after --max-errors={validator.max_errors}") | |
| else: | |
| print("Errors: none") | |
| def parse_args(argv: list[str]) -> argparse.Namespace: | |
| parser = argparse.ArgumentParser( | |
| description="Validate human-style OracleMem natural-example JSONL files.", | |
| ) | |
| parser.add_argument("jsonl_paths", nargs="+", type=Path, help="One or more JSONL files to validate.") | |
| parser.add_argument( | |
| "--max-errors", | |
| type=int, | |
| default=100, | |
| help="Maximum number of validation errors to print before truncating output.", | |
| ) | |
| return parser.parse_args(argv) | |
| def main(argv: list[str] | None = None) -> int: | |
| args = parse_args(sys.argv[1:] if argv is None else argv) | |
| max_errors = args.max_errors if args.max_errors > 0 else 1 | |
| validator = Validator(max_errors=max_errors) | |
| for path in args.jsonl_paths: | |
| validate_path(validator, path) | |
| print_summary(validator, args.jsonl_paths) | |
| return 1 if validator.errors else 0 | |
| if __name__ == "__main__": | |
| raise SystemExit(main()) | |