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Download scripts/matcher_adapter.py from modulate/entity-transcription-benchmark: direct link, hf CLI and curl.
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https://huggingface.co/datasets/modulate/entity-transcription-benchmark/resolve/main/scripts/matcher_adapter.py
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hf download hf://datasets/modulate/entity-transcription-benchmark/scripts/matcher_adapter.py
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curl -L -o matcher_adapter.py https://huggingface.co/datasets/modulate/entity-transcription-benchmark/resolve/main/scripts/matcher_adapter.py
6.17 kB
| """Locate and call the canonical entity matcher. | |
| The reported numbers depend entirely on this file, so the harness refuses to | |
| score without it rather than silently substituting a weaker rule. | |
| Resolution order: | |
| 1. --matcher module:callable, if given | |
| 2. a module named matcher_v5 on sys.path or next to this file | |
| 3. a file passed as --matcher-path | |
| The matcher is called as fn(entity, hypothesis_text) -> truthy. Older | |
| signatures fn(hypothesis, entity) are detected by a probe at load time. | |
| """ | |
| from __future__ import annotations | |
| import importlib | |
| import importlib.util | |
| import inspect | |
| import os | |
| import sys | |
| from typing import Callable | |
| CANDIDATE_NAMES = [ | |
| "hit", | |
| "match_entity", | |
| "entity_match", | |
| "entity_hit", | |
| "is_match", | |
| "matches", | |
| "match", | |
| "score_entity", | |
| ] | |
| CANDIDATE_CLASSES = ["MatcherV5", "Matcher", "EntityMatcher"] | |
| class MatcherNotFound(RuntimeError): | |
| pass | |
| def _import_path(path: str): | |
| name = os.path.splitext(os.path.basename(path))[0] | |
| spec = importlib.util.spec_from_file_location(name, path) | |
| if spec is None or spec.loader is None: | |
| raise MatcherNotFound(f"cannot import {path}") | |
| module = importlib.util.module_from_spec(spec) | |
| sys.modules[name] = module | |
| spec.loader.exec_module(module) | |
| return module | |
| def _pick_callable(module) -> tuple[Callable, str]: | |
| for name in CANDIDATE_NAMES: | |
| fn = getattr(module, name, None) | |
| if callable(fn): | |
| return fn, name | |
| for cls_name in CANDIDATE_CLASSES: | |
| cls = getattr(module, cls_name, None) | |
| if cls is None: | |
| continue | |
| instance = cls() | |
| for name in CANDIDATE_NAMES: | |
| fn = getattr(instance, name, None) | |
| if callable(fn): | |
| return fn, f"{cls_name}.{name}" | |
| public = [n for n in dir(module) if not n.startswith("_") and callable(getattr(module, n))] | |
| raise MatcherNotFound( | |
| f"no recognised matcher entry point in {module.__name__}. " | |
| f"Public callables: {public}\n" | |
| f"Pass --matcher {module.__name__}:<name> to point at the right one." | |
| ) | |
| def _orient(fn: Callable, label: str) -> Callable[[str, str], bool]: | |
| """Work out whether the callable is fn(entity, hyp) or fn(hyp, entity).""" | |
| try: | |
| params = list(inspect.signature(fn).parameters) | |
| except (TypeError, ValueError): | |
| params = [] | |
| named = [p.lower() for p in params[:2]] | |
| swapped = bool(named) and any( | |
| k in named[0] for k in ("hyp", "pred", "transcript", "text", "candidate") | |
| ) | |
| probe_entity, probe_hyp = "Addenbrooke's Hospital", "she works at addenbrookes hospital in cambridge" | |
| if not swapped: | |
| try: | |
| forward = bool(fn(probe_entity, probe_hyp)) | |
| reverse = bool(fn(probe_hyp, probe_entity)) | |
| if reverse and not forward: | |
| swapped = True | |
| except Exception: | |
| pass | |
| if swapped: | |
| return lambda entity, hyp: bool(fn(hyp, entity)) | |
| return lambda entity, hyp: bool(fn(entity, hyp)) | |
| def load_matcher(spec: str | None = None, path: str | None = None): | |
| """Returns (callable(entity, hypothesis) -> bool, description).""" | |
| if spec: | |
| mod_name, _, fn_name = spec.partition(":") | |
| module = _import_path(mod_name) if mod_name.endswith(".py") else importlib.import_module(mod_name) | |
| if not fn_name: | |
| fn, label = _pick_callable(module) | |
| else: | |
| fn, label = getattr(module, fn_name), fn_name | |
| return _orient(fn, label), f"{spec} ({label})" | |
| if path: | |
| module = _import_path(path) | |
| fn, label = _pick_callable(module) | |
| return _orient(fn, label), f"{path} ({label})" | |
| here = os.path.dirname(os.path.abspath(__file__)) | |
| for candidate in (os.path.join(here, "matcher_v5.py"), os.path.join(os.getcwd(), "matcher_v5.py")): | |
| if os.path.exists(candidate): | |
| module = _import_path(candidate) | |
| fn, label = _pick_callable(module) | |
| return _orient(fn, label), f"{candidate} ({label})" | |
| try: | |
| module = importlib.import_module("matcher_v5") | |
| except ImportError: | |
| raise MatcherNotFound( | |
| "matcher_v5.py not found. It defines the match rule and therefore the " | |
| "reported numbers.\nDownload it from the dataset repo:\n" | |
| " huggingface-cli download modulate/entity-transcription-benchmark " | |
| "matcher_v5.py --repo-type dataset --local-dir .\n" | |
| "or point at a local copy with --matcher-path /path/to/matcher_v5.py" | |
| ) | |
| fn, label = _pick_callable(module) | |
| return _orient(fn, label), f"matcher_v5 ({label})" | |
| def self_test(matcher_module_path: str | None = None) -> tuple[int, int]: | |
| """Run the matcher's own self-test if it exposes one. Returns (passed, total). | |
| (0, 0) means the module does not expose one -- scoring proceeds ungated. | |
| Never calls main(); that would parse the caller's argv. | |
| """ | |
| module = None | |
| if matcher_module_path and os.path.exists(matcher_module_path): | |
| module = _import_path(matcher_module_path) | |
| else: | |
| for candidate in ( | |
| os.path.join(os.path.dirname(os.path.abspath(__file__)), "matcher_v5.py"), | |
| os.path.join(os.getcwd(), "matcher_v5.py"), | |
| ): | |
| if os.path.exists(candidate): | |
| module = _import_path(candidate) | |
| break | |
| if module is None: | |
| try: | |
| module = importlib.import_module("matcher_v5") | |
| except ImportError: | |
| return (0, 0) | |
| total = len(getattr(module, "CASES", []) or []) | |
| for name in ("validate", "self_test", "run_self_test", "_self_test"): | |
| fn = getattr(module, name, None) | |
| if not callable(fn): | |
| continue | |
| try: | |
| result = fn(verbose=False) | |
| except TypeError: | |
| result = fn() | |
| if isinstance(result, tuple) and len(result) == 2: | |
| return result | |
| if isinstance(result, bool): | |
| # validate() returns True when every case passes | |
| return (total, total) if result else (0, total or 1) | |
| return (0, 0) | |
| return (0, 0) | |