From a233ef12f2dd368e640ef637fb0e2363e127fb1b Mon Sep 17 00:00:00 2001 From: Kavya Manohar Date: Fri, 24 Apr 2026 14:26:20 +0530 Subject: [PATCH 01/28] feat: initial scribe package layout Establishes the library source layout at src/scribe/, with public API exports in __init__.py and bundled domain configs under src/scribe/config/. Examples, documentation, and the Streamlit visualizer are included. The library is distributed on PyPI as scribe-eval and imported as scribe. Subsequent commits add public-release metadata, license, tests, and CI. --- README.md | 2 +- docs/batch-processing.md | 4 +- docs/domain-configuration.md | 8 +-- examples/batch_evaluate.py | 4 +- examples/custom_domain_file.py | 14 ++-- examples/error_report.py | 39 +++++------ examples/text_alignment.py | 11 ++-- pyproject.toml | 4 +- src/{dicterrors => scribe}/__init__.py | 0 src/{dicterrors => scribe}/align.py | 0 src/{dicterrors => scribe}/analysis.py | 0 src/{dicterrors => scribe}/charts.py | 0 src/{dicterrors => scribe}/config/__init__.py | 0 .../config/legal_terms.txt | 0 .../config/medical_terms.txt | 0 .../config/technical_terms.txt | 0 src/{dicterrors => scribe}/constants.py | 0 src/{dicterrors => scribe}/domain_config.py | 6 +- src/{dicterrors => scribe}/measure.py | 0 src/{dicterrors => scribe}/measure_batch.py | 0 src/{dicterrors => scribe}/normalize.py | 0 src/{dicterrors => scribe}/reporting.py | 0 src/{dicterrors => scribe}/tokenize.py | 0 uv.lock | 64 +++++++++---------- visualizer.py | 6 +- 25 files changed, 81 insertions(+), 81 deletions(-) rename src/{dicterrors => scribe}/__init__.py (100%) rename src/{dicterrors => scribe}/align.py (100%) rename src/{dicterrors => scribe}/analysis.py (100%) rename src/{dicterrors => scribe}/charts.py (100%) rename src/{dicterrors => scribe}/config/__init__.py (100%) rename src/{dicterrors => scribe}/config/legal_terms.txt (100%) rename src/{dicterrors => scribe}/config/medical_terms.txt (100%) rename src/{dicterrors => scribe}/config/technical_terms.txt (100%) rename src/{dicterrors => scribe}/constants.py (100%) rename src/{dicterrors => scribe}/domain_config.py (97%) rename src/{dicterrors => scribe}/measure.py (100%) rename src/{dicterrors => scribe}/measure_batch.py (100%) rename src/{dicterrors => scribe}/normalize.py (100%) rename src/{dicterrors => scribe}/reporting.py (100%) rename src/{dicterrors => scribe}/tokenize.py (100%) diff --git a/README.md b/README.md index aa8dd86..f63a731 100644 --- a/README.md +++ b/README.md @@ -18,7 +18,7 @@ uv sync && uv pip install -e . ## Quick Start ```python -from dicterrors import text_error_rates, DomainConfig +from scribe import text_error_rates, DomainConfig ref = "charged u/s 302 IPC on 22.05.2023" hyp = "charged u/s 303 IPC on 22.05.2023" diff --git a/docs/batch-processing.md b/docs/batch-processing.md index a472af0..69cdd5e 100644 --- a/docs/batch-processing.md +++ b/docs/batch-processing.md @@ -17,7 +17,7 @@ Each line in the JSONL file must have: ### Basic batch evaluation ```python -from dicterrors import compute_sample_errors, compute_aggregate_metrics, DomainConfig +from scribe import compute_sample_errors, compute_aggregate_metrics, DomainConfig domain = DomainConfig.legal() @@ -43,7 +43,7 @@ for dataset, data in metrics['by_dataset'].items(): ### Error analysis (contributions + frequent errors) ```python -from dicterrors import ( +from scribe import ( aggregate_error_details, compute_error_summary, format_contribution_table, diff --git a/docs/domain-configuration.md b/docs/domain-configuration.md index f117347..6c9afcf 100644 --- a/docs/domain-configuration.md +++ b/docs/domain-configuration.md @@ -7,7 +7,7 @@ DictErrors supports flexible domain-aware tokenization via the `DomainConfig` cl Three pre-configured domains are bundled with the package: ```python -from dicterrors import DomainConfig, text_error_rates +from scribe import DomainConfig, text_error_rates domain = DomainConfig.legal() # Indian legal terminology domain = DomainConfig.medical() # Medical units and dosages @@ -67,7 +67,7 @@ REGEX: Ext\.[-\s]*[A-Z]\d* # Matches Ext.A, Ext. B2 ### Bundled Config Files -Sample config files are included in `src/dicterrors/config/`: +Sample config files are included in `src/scribe/config/`: - `legal_terms.txt` — Indian legal terminology - `medical_terms.txt` — Medical units and dosages - `technical_terms.txt` — Technical abbreviations (case-sensitive) @@ -88,7 +88,7 @@ custom = DomainConfig.from_file( ## Inline Custom Domains ```python -from dicterrors import DomainConfig +from scribe import DomainConfig # List-based patterns (automatically escaped) custom = DomainConfig("custom", ["u/s", "r/w"], category="CUSTOM", label="CuER") @@ -111,7 +111,7 @@ report = text_error_rates(ref, hyp, None) ## File Location Conventions - **Project configs**: `config/` directory at the repository root -- **Personal configs**: `~/.config/dicterrors/` +- **Personal configs**: `~/.config/scribe-eval/` - **Dataset-specific configs**: Alongside the dataset in the data directory ``` diff --git a/examples/batch_evaluate.py b/examples/batch_evaluate.py index 52ff33f..ce472bb 100644 --- a/examples/batch_evaluate.py +++ b/examples/batch_evaluate.py @@ -15,7 +15,7 @@ from tabulate import tabulate -from dicterrors import ( +from scribe import ( DomainConfig, aggregate_error_details, compute_aggregate_metrics, @@ -288,7 +288,7 @@ def main(): # Save charts if requested if args.chart: try: - from dicterrors.charts import category_breakdown_chart + from scribe.charts import category_breakdown_chart breakdown_path = str(output_dir / "category_breakdown.png") category_breakdown_chart(summary["contributions"], output_path=breakdown_path) diff --git a/examples/custom_domain_file.py b/examples/custom_domain_file.py index 3c671ac..b9d60bb 100644 --- a/examples/custom_domain_file.py +++ b/examples/custom_domain_file.py @@ -7,7 +7,8 @@ 2. Loading from custom files 3. Inline custom domains """ -from dicterrors import text_error_rates, DomainConfig + +from scribe import DomainConfig, text_error_rates # Sample texts ref = "charged u/s 302 IPC on 22.05.2023 for Rs. 10,500" @@ -42,7 +43,9 @@ # For now, demonstrate with the bundled legal config used as a custom variant custom_domain = DomainConfig.legal() report_custom = text_error_rates(ref, hyp, custom_domain) -print(f"\nCustom Legal Domain (via factory) - {custom_domain.label}: {report_custom[custom_domain.category]['error_rate']:.2%}") +print( + f"\nCustom Legal Domain (via factory) - {custom_domain.label}: {report_custom[custom_domain.category]['error_rate']:.2%}" +) print(f" Configuration: category={custom_domain.category}, label={custom_domain.label}") print(" (To use a custom file: DomainConfig.from_file('path/to/my_legal_terms.txt'))") @@ -52,15 +55,12 @@ # Create custom domain inline custom_inline = DomainConfig( - "custom", - ["u/s", "r/w", "sec.", "art."], - category="CUSTOM", - label="CuER" + "custom", ["u/s", "r/w", "sec.", "art."], category="CUSTOM", label="CuER" ) report_inline = text_error_rates(ref, hyp, custom_inline) print(f"\nInline Custom Domain - CuER: {report_inline['CUSTOM']['error_rate']:.2%}") print(f" Custom term substitutions: {report_inline['CUSTOM']['substitutions']}") -print(f" (Detects 'u/s' → 'under section' and similar variations)") +print(" (Detects 'u/s' → 'under section' and similar variations)") print("\n" + "=" * 80) print("\nKey Takeaways:") diff --git a/examples/error_report.py b/examples/error_report.py index 0a5731d..b1d6ab6 100644 --- a/examples/error_report.py +++ b/examples/error_report.py @@ -1,9 +1,9 @@ #!/usr/bin/env python3 """ -Example script demonstrating detailed error reporting using dicterrors package. +Example script demonstrating detailed error reporting using the scribe package. This example shows how to: -1. Import the necessary functions from the dicterrors package +1. Import the necessary functions from the scribe package 2. Tokenize and align two input texts 3. Generate a comprehensive error report with various error metrics 4. Visualize the alignment with error details @@ -15,19 +15,19 @@ """ import sys + from tabulate import tabulate -from dicterrors import ( - domain_aware_tokenizer, + +from scribe import ( + CAT_NUMERAL, + CAT_PUNCT, + CAT_WORD, + DomainConfig, align_arrays, + domain_aware_tokenizer, token_error_rates, - CAT_WORD, CAT_PUNCT, CAT_NUMERAL, - DomainConfig -) -from dicterrors.reporting import ( - format_metrics_dict, - format_error_counts_table, - format_alignment_table ) +from scribe.reporting import format_alignment_table, format_error_counts_table, format_metrics_dict def generate_error_report(text1, text2): @@ -64,15 +64,18 @@ def generate_error_report(text1, text2): print("=" * 50) metrics_table = [ ["Word Error Rate (WER)", metrics["WER"]], - [f"{domain_config.name.title()} Error Rate ({domain_config.label})", metrics[domain_config.label]], + [ + f"{domain_config.name.title()} Error Rate ({domain_config.label})", + metrics[domain_config.label], + ], ["Numeral Error Rate (NER)", metrics["NER"]], ["Punctuation Error Rate (PER)", metrics["PER"]], - ["Word Correct", report[CAT_WORD]['correct']], - [f"{domain_config.name.title()} Correct", report[domain_config.category]['correct']], - ["Numeral Correct", report[CAT_NUMERAL]['correct']], - ["Punctuation Correct", report[CAT_PUNCT]['correct']], - ["Combined Total Tokens", report[CAT_WORD]['combined_total']], - ["Sandhi Corrections", metrics["Sandhi"]] + ["Word Correct", report[CAT_WORD]["correct"]], + [f"{domain_config.name.title()} Correct", report[domain_config.category]["correct"]], + ["Numeral Correct", report[CAT_NUMERAL]["correct"]], + ["Punctuation Correct", report[CAT_PUNCT]["correct"]], + ["Combined Total Tokens", report[CAT_WORD]["combined_total"]], + ["Sandhi Corrections", metrics["Sandhi"]], ] print(tabulate(metrics_table, headers=["Metric", "Value"], tablefmt="grid")) diff --git a/examples/text_alignment.py b/examples/text_alignment.py index 1a566d5..6e8ebf3 100644 --- a/examples/text_alignment.py +++ b/examples/text_alignment.py @@ -1,9 +1,9 @@ #!/usr/bin/env python3 """ -Example script demonstrating text alignment using dicterrors package. +Example script demonstrating text alignment using the scribe package. This example shows how to: -1. Import the necessary functions from the dicterrors package +1. Import the necessary functions from the scribe package 2. Tokenize and align two input texts 3. Print the alignment results @@ -14,11 +14,8 @@ """ import sys -from dicterrors import ( - domain_aware_tokenizer, - align_arrays, - DomainConfig -) + +from scribe import DomainConfig, align_arrays, domain_aware_tokenizer def print_alignment(text1, text2, aligned1, aligned2, score): diff --git a/pyproject.toml b/pyproject.toml index 0606818..67ad300 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,5 +1,5 @@ [project] -name = "dicterrors" +name = "scribe-eval" version = "0.1.0" description = "Add your description here" readme = "README.md" @@ -24,7 +24,7 @@ build-backend = "setuptools.build_meta" where = ["src"] [tool.setuptools.package-data] -dicterrors = ["config/*.txt"] +scribe = ["config/*.txt"] [tool.ruff] line-length = 100 diff --git a/src/dicterrors/__init__.py b/src/scribe/__init__.py similarity index 100% rename from src/dicterrors/__init__.py rename to src/scribe/__init__.py diff --git a/src/dicterrors/align.py b/src/scribe/align.py similarity index 100% rename from src/dicterrors/align.py rename to src/scribe/align.py diff --git a/src/dicterrors/analysis.py b/src/scribe/analysis.py similarity index 100% rename from src/dicterrors/analysis.py rename to src/scribe/analysis.py diff --git a/src/dicterrors/charts.py b/src/scribe/charts.py similarity index 100% rename from src/dicterrors/charts.py rename to src/scribe/charts.py diff --git a/src/dicterrors/config/__init__.py b/src/scribe/config/__init__.py similarity index 100% rename from src/dicterrors/config/__init__.py rename to src/scribe/config/__init__.py diff --git a/src/dicterrors/config/legal_terms.txt b/src/scribe/config/legal_terms.txt similarity index 100% rename from src/dicterrors/config/legal_terms.txt rename to src/scribe/config/legal_terms.txt diff --git a/src/dicterrors/config/medical_terms.txt b/src/scribe/config/medical_terms.txt similarity index 100% rename from src/dicterrors/config/medical_terms.txt rename to src/scribe/config/medical_terms.txt diff --git a/src/dicterrors/config/technical_terms.txt b/src/scribe/config/technical_terms.txt similarity index 100% rename from src/dicterrors/config/technical_terms.txt rename to src/scribe/config/technical_terms.txt diff --git a/src/dicterrors/constants.py b/src/scribe/constants.py similarity index 100% rename from src/dicterrors/constants.py rename to src/scribe/constants.py diff --git a/src/dicterrors/domain_config.py b/src/scribe/domain_config.py similarity index 97% rename from src/dicterrors/domain_config.py rename to src/scribe/domain_config.py index 29786fe..e3983b6 100644 --- a/src/dicterrors/domain_config.py +++ b/src/scribe/domain_config.py @@ -239,7 +239,7 @@ def legal(cls) -> "DomainConfig": DomainConfig instance for legal terminology with category='LEGAL', label='LER' Examples: - >>> from dicterrors import DomainConfig, text_error_rates + >>> from scribe import DomainConfig, text_error_rates >>> domain = DomainConfig.legal() >>> report = text_error_rates(ref, hyp, domain) """ @@ -257,7 +257,7 @@ def medical(cls) -> "DomainConfig": DomainConfig instance for medical terminology with category='MEDICAL', label='MER' Examples: - >>> from dicterrors import DomainConfig, text_error_rates + >>> from scribe import DomainConfig, text_error_rates >>> domain = DomainConfig.medical() >>> report = text_error_rates(ref, hyp, domain) """ @@ -275,7 +275,7 @@ def technical(cls) -> "DomainConfig": DomainConfig instance for technical terminology with category='TECH', label='TER' Examples: - >>> from dicterrors import DomainConfig, text_error_rates + >>> from scribe import DomainConfig, text_error_rates >>> domain = DomainConfig.technical() >>> report = text_error_rates(ref, hyp, domain) """ diff --git a/src/dicterrors/measure.py b/src/scribe/measure.py similarity index 100% rename from src/dicterrors/measure.py rename to src/scribe/measure.py diff --git a/src/dicterrors/measure_batch.py b/src/scribe/measure_batch.py similarity index 100% rename from src/dicterrors/measure_batch.py rename to src/scribe/measure_batch.py diff --git a/src/dicterrors/normalize.py b/src/scribe/normalize.py similarity index 100% rename from src/dicterrors/normalize.py rename to src/scribe/normalize.py diff --git a/src/dicterrors/reporting.py b/src/scribe/reporting.py similarity index 100% rename from src/dicterrors/reporting.py rename to src/scribe/reporting.py diff --git a/src/dicterrors/tokenize.py b/src/scribe/tokenize.py similarity index 100% rename from src/dicterrors/tokenize.py rename to src/scribe/tokenize.py diff --git a/uv.lock b/uv.lock index 9af84a5..78bfe77 100644 --- a/uv.lock +++ b/uv.lock @@ -243,38 +243,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/e7/05/c19819d5e3d95294a6f5947fb9b9629efb316b96de511b418c53d245aae6/cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30", size = 8321 }, ] -[[package]] -name = "dicterrors" -version = "0.1.0" -source = { editable = "." } -dependencies = [ - { name = "jiwer" }, - { name = "levenshtein" }, - { name = "matplotlib" }, - { name = "pandas" }, - { name = "streamlit" }, - { name = "tabulate" }, -] - -[package.optional-dependencies] -dev = [ - { name = "pytest" }, - { name = "ruff" }, -] - -[package.metadata] -requires-dist = [ - { name = "jiwer", specifier = ">=4.0.0" }, - { name = "levenshtein", specifier = ">=0.27.1" }, - { name = "matplotlib", specifier = ">=3.7.0" }, - { name = "pandas", specifier = ">=2.0.0" }, - { name = "pytest", marker = "extra == 'dev'" }, - { name = "ruff", marker = "extra == 'dev'" }, - { name = "streamlit", specifier = ">=1.53.0" }, - { name = "tabulate", specifier = ">=0.9.0" }, -] -provides-extras = ["dev"] - [[package]] name = "fonttools" version = "4.62.1" @@ -1347,6 +1315,38 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/7f/d0/578c47dd68152ddddddf31cd7fc67dc30b7cdf639a86275fda821b0d9d98/ruff-0.15.6-py3-none-win_arm64.whl", hash = "sha256:c34de3dd0b0ba203be50ae70f5910b17188556630e2178fd7d79fc030eb0d837", size = 11060497 }, ] +[[package]] +name = "scribe-eval" +version = "0.1.0" +source = { editable = "." } +dependencies = [ + { name = "jiwer" }, + { name = "levenshtein" }, + { name = "matplotlib" }, + { name = "pandas" }, + { name = "streamlit" }, + { name = "tabulate" }, +] + +[package.optional-dependencies] +dev = [ + { name = "pytest" }, + { name = "ruff" }, +] + +[package.metadata] +requires-dist = [ + { name = "jiwer", specifier = ">=4.0.0" }, + { name = "levenshtein", specifier = ">=0.27.1" }, + { name = "matplotlib", specifier = ">=3.7.0" }, + { name = "pandas", specifier = ">=2.0.0" }, + { name = "pytest", marker = "extra == 'dev'" }, + { name = "ruff", marker = "extra == 'dev'" }, + { name = "streamlit", specifier = ">=1.53.0" }, + { name = "tabulate", specifier = ">=0.9.0" }, +] +provides-extras = ["dev"] + [[package]] name = "six" version = "1.17.0" diff --git a/visualizer.py b/visualizer.py index 684fb9a..17cc642 100644 --- a/visualizer.py +++ b/visualizer.py @@ -7,7 +7,7 @@ import pandas as pd import streamlit as st -from dicterrors import ( +from scribe import ( DEFAULT_WEIGHTS, DomainConfig, aggregate_error_details, @@ -20,7 +20,7 @@ text_error_details, token_error_rates, ) -from dicterrors.reporting import ( +from scribe.reporting import ( extract_error_rates, format_alignment_dict, format_contribution_table, @@ -29,7 +29,7 @@ ) try: - from dicterrors.charts import category_breakdown_chart + from scribe.charts import category_breakdown_chart HAS_CHARTS = True except ImportError: From 241071dad052412a95bb2c876d9d6324482cf4c6 Mon Sep 17 00:00:00 2001 From: Kavya Manohar Date: Fri, 24 Apr 2026 14:34:37 +0530 Subject: [PATCH 02/28] chore: fill out pyproject.toml metadata - Add description, Apache-2.0 license, author, keywords, classifiers, project URLs (homepage/repository/issues). - Require Python >= 3.10 (previously 3.11). - Split dependencies: - core: jiwer, levenshtein, tabulate - [charts]: matplotlib (for headless chart generation) - [visualizer]: streamlit, pandas, matplotlib (for the Streamlit UI) - [dev]: pytest, pytest-cov, ruff, mypy, build, twine - Set ruff target-version to py310 to match requires-python. Core install no longer pulls in streamlit, pandas, or matplotlib (~100 MB saved for users who only need the error-analysis API). --- pyproject.toml | 43 +- uv.lock | 1107 +++++++++++++++++++++++++++++++++++++++++++++++- 2 files changed, 1125 insertions(+), 25 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 67ad300..3b13f6d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,20 +1,49 @@ [project] name = "scribe-eval" version = "0.1.0" -description = "Add your description here" +description = "Diagnostic ASR evaluation with sandhi-tolerant alignment and categorical error decomposition for Indic and domain-specific speech recognition." readme = "README.md" -requires-python = ">=3.11" +license = { text = "Apache-2.0" } +requires-python = ">=3.10" +authors = [ + { name = "Kavya Manohar" }, +] +keywords = [ + "asr", + "speech-recognition", + "evaluation", + "wer", + "sandhi", + "error-analysis", + "rich-transcription", +] +classifiers = [ + "Development Status :: 4 - Beta", + "Intended Audience :: Science/Research", + "Intended Audience :: Developers", + "License :: OSI Approved :: Apache Software License", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Topic :: Scientific/Engineering :: Artificial Intelligence", + "Topic :: Text Processing :: Linguistic", +] dependencies = [ "jiwer>=4.0.0", "levenshtein>=0.27.1", - "matplotlib>=3.7.0", - "streamlit>=1.53.0", "tabulate>=0.9.0", - "pandas>=2.0.0", ] [project.optional-dependencies] -dev = ["pytest", "ruff"] +charts = ["matplotlib>=3.7.0"] +visualizer = ["streamlit>=1.53.0", "pandas>=2.0.0", "matplotlib>=3.7.0"] +dev = ["pytest>=8.0", "pytest-cov", "ruff>=0.6", "mypy", "build", "twine"] + +[project.urls] +Homepage = "https://github.com/adalat-ai-tech/scribe-eval" +Repository = "https://github.com/adalat-ai-tech/scribe-eval" +Issues = "https://github.com/adalat-ai-tech/scribe-eval/issues" [build-system] requires = ["setuptools>=61.0"] @@ -28,7 +57,7 @@ scribe = ["config/*.txt"] [tool.ruff] line-length = 100 -target-version = "py311" +target-version = "py310" [tool.ruff.lint] select = ["E", "F", "W", "I"] diff --git a/uv.lock b/uv.lock index 78bfe77..7568539 100644 --- a/uv.lock +++ b/uv.lock @@ -1,9 +1,11 @@ version = 1 revision = 1 -requires-python = ">=3.11" +requires-python = ">=3.10" resolution-markers = [ - "python_full_version >= '3.12'", - "python_full_version < '3.12'", + "python_full_version >= '3.15'", + "python_full_version >= '3.12' and python_full_version < '3.15'", + "python_full_version == '3.11.*'", + "python_full_version < '3.11'", ] [[package]] @@ -31,6 +33,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/3a/2a/7cc015f5b9f5db42b7d48157e23356022889fc354a2813c15934b7cb5c0e/attrs-25.4.0-py3-none-any.whl", hash = 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03/28] chore: add Apache-2.0 LICENSE and __version__ - LICENSE: full Apache-2.0 text with copyright "2026 Adalat AI". - src/scribe/__init__.py: module docstring updated to reflect the scribe package identity (no longer "DictErrors") and exposes __version__ read dynamically from installed package metadata via importlib.metadata, so the version lives in a single place (pyproject.toml). --- LICENSE | 201 +++++++++++++++++++++++++++++++++++++++++ src/scribe/__init__.py | 15 ++- 2 files changed, 213 insertions(+), 3 deletions(-) create mode 100644 LICENSE diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..670d5b8 --- /dev/null +++ b/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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See the License for the specific language governing + permissions and limitations under the License. diff --git a/src/scribe/__init__.py b/src/scribe/__init__.py index 2a08275..92a7ed6 100644 --- a/src/scribe/__init__.py +++ b/src/scribe/__init__.py @@ -1,7 +1,16 @@ +"""scribe: diagnostic evaluation framework for ASR rich transcription. + +Provides categorical error decomposition (lexical, numeral, punctuation, +and domain-specific rates) with sandhi-tolerant alignment. Language-agnostic +at the core; bundled domain configs target Indic and legal/medical domains. """ -DictErrors: A specialized evaluation framework for Indic language ASR -with support for domain-aware entity shielding and Sandhi-aware alignment. -""" + +from importlib.metadata import PackageNotFoundError, version + +try: + __version__ = version("scribe-eval") +except PackageNotFoundError: # pragma: no cover - editable install edge case + __version__ = "0.0.0+unknown" # --- Categories & Constants --- # --- Alignment Logic --- From ff0956a5ca51f61685f30755762228239283510f Mon Sep 17 00:00:00 2001 From: Kavya Manohar Date: Fri, 24 Apr 2026 14:40:15 +0530 Subject: [PATCH 04/28] feat(visualizer): guard against missing streamlit with install hint When streamlit is not installed (core-only install of scribe-eval), running visualizer.py would raise a cryptic ModuleNotFoundError. The guard intercepts the ImportError and exits with a clear message pointing the user at: pip install 'scribe-eval[visualizer]' --- visualizer.py | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/visualizer.py b/visualizer.py index 17cc642..7204fd1 100644 --- a/visualizer.py +++ b/visualizer.py @@ -1,3 +1,12 @@ +try: + import streamlit as st +except ImportError as exc: + raise SystemExit( + "The Streamlit visualizer requires the 'visualizer' extra.\n" + "Install it with:\n" + " pip install 'scribe-eval[visualizer]'" + ) from exc + import json import os import tempfile @@ -5,7 +14,6 @@ import jiwer import pandas as pd -import streamlit as st from scribe import ( DEFAULT_WEIGHTS, From c4b914bbebd08c4c248160555456205bf690c2aa Mon Sep 17 00:00:00 2001 From: Kavya Manohar Date: Fri, 24 Apr 2026 14:51:53 +0530 Subject: [PATCH 05/28] feat(visualizer): ship Streamlit UI as scribe-visualizer CLI Move the Streamlit UI into the scribe package as a subpackage so it ships inside the installed wheel. Users now run the UI with a single console command after installing the visualizer extra: pip install 'scribe-eval[visualizer]' scribe-visualizer The command forwards additional arguments to streamlit, e.g. `scribe-visualizer --server.port 8502`. - visualizer.py -> src/scribe/visualizer/app.py (git rename) - Add src/scribe/visualizer/__init__.py (subpackage marker) - Add src/scribe/visualizer/__main__.py with main() entry point that invokes streamlit.web.cli on the bundled app.py and preserves the ImportError guard (hints at the [visualizer] extra). - pyproject.toml: register `scribe-visualizer` console_script. - README.md, docs/visualizer.md: update launch instructions. --- README.md | 3 ++- docs/visualizer.md | 9 +++++-- pyproject.toml | 3 +++ src/scribe/visualizer/__init__.py | 0 src/scribe/visualizer/__main__.py | 27 +++++++++++++++++++ visualizer.py => src/scribe/visualizer/app.py | 0 6 files changed, 39 insertions(+), 3 deletions(-) create mode 100644 src/scribe/visualizer/__init__.py create mode 100644 src/scribe/visualizer/__main__.py rename visualizer.py => src/scribe/visualizer/app.py (100%) diff --git a/README.md b/README.md index f63a731..0fe39c9 100644 --- a/README.md +++ b/README.md @@ -68,7 +68,8 @@ See [docs/batch-processing.md](docs/batch-processing.md) for the Python API, CLI ## Interactive Visualizer ```bash -streamlit run visualizer.py +pip install 'scribe-eval[visualizer]' +scribe-visualizer ``` See [docs/visualizer.md](docs/visualizer.md). diff --git a/docs/visualizer.md b/docs/visualizer.md index ca79e28..21eadc7 100644 --- a/docs/visualizer.md +++ b/docs/visualizer.md @@ -1,13 +1,18 @@ # Interactive Visualizer -DictErrors includes a Streamlit-based web UI for exploring alignment and error metrics interactively. +scribe-eval ships a Streamlit-based web UI for exploring alignment and error metrics interactively. ## Launching +Install the `visualizer` extra and run the bundled command: + ```bash -streamlit run visualizer.py +pip install 'scribe-eval[visualizer]' +scribe-visualizer ``` +Any extra arguments are forwarded to `streamlit run` (e.g. `scribe-visualizer --server.port 8502`). + ## Tabs ### Single Sample Analysis diff --git a/pyproject.toml b/pyproject.toml index 3b13f6d..7112a14 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -40,6 +40,9 @@ charts = ["matplotlib>=3.7.0"] visualizer = ["streamlit>=1.53.0", "pandas>=2.0.0", "matplotlib>=3.7.0"] dev = ["pytest>=8.0", "pytest-cov", "ruff>=0.6", "mypy", "build", "twine"] +[project.scripts] +scribe-visualizer = "scribe.visualizer.__main__:main" + [project.urls] Homepage = "https://github.com/adalat-ai-tech/scribe-eval" Repository = "https://github.com/adalat-ai-tech/scribe-eval" diff --git a/src/scribe/visualizer/__init__.py b/src/scribe/visualizer/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/scribe/visualizer/__main__.py b/src/scribe/visualizer/__main__.py new file mode 100644 index 0000000..574674b --- /dev/null +++ b/src/scribe/visualizer/__main__.py @@ -0,0 +1,27 @@ +"""Console entry point for the scribe-visualizer Streamlit app. + +Launches `streamlit run` on the bundled app.py. Any additional command-line +arguments are forwarded to streamlit (e.g. `scribe-visualizer --server.port 8502`). +""" + +import sys +from pathlib import Path + + +def main() -> None: + try: + from streamlit.web import cli as stcli + except ImportError as exc: + raise SystemExit( + "The Streamlit visualizer requires the 'visualizer' extra.\n" + "Install it with:\n" + " pip install 'scribe-eval[visualizer]'" + ) from exc + + app_path = Path(__file__).parent / "app.py" + sys.argv = ["streamlit", "run", str(app_path), *sys.argv[1:]] + sys.exit(stcli.main()) + + +if __name__ == "__main__": + main() diff --git a/visualizer.py b/src/scribe/visualizer/app.py similarity index 100% rename from visualizer.py rename to src/scribe/visualizer/app.py From ee35658642e117ff9cacc4427a5b48a8987c1f31 Mon Sep 17 00:00:00 2001 From: Kavya Manohar Date: Fri, 24 Apr 2026 15:20:38 +0530 Subject: [PATCH 06/28] chore: strengthen .gitignore, move sample predictions, drop scaffold - Delete main.py (empty uv-init scaffold, nothing imports it). - Move the bundled sample from examples/dictation-eval/predictions.jsonl to examples/predictions.jsonl (flat). This sits alongside the example scripts and is the one file users need to run batch_evaluate.py out of the box after cloning. - Expand .gitignore: - tool caches: .ruff_cache/, .mypy_cache/ - internal-only docs: docs/internal/ - benchmark / evaluation outputs dropped into examples/ subdirectories (example scripts at examples/*.py remain tracked), user-specific domain overrides under src/scribe/config/, and any ad-hoc examples/test_*.py scripts. --- .gitignore | 23 +++++++++++++++++++ .../{dictation-eval => }/predictions.jsonl | 0 main.py | 6 ----- 3 files changed, 23 insertions(+), 6 deletions(-) rename examples/{dictation-eval => }/predictions.jsonl (100%) delete mode 100644 main.py diff --git a/.gitignore b/.gitignore index 139acbe..5ae3cd4 100644 --- a/.gitignore +++ b/.gitignore @@ -24,6 +24,10 @@ ENV/ .coverage htmlcov/ +# Lint / type-check caches +.ruff_cache/ +.mypy_cache/ + # Jupyter Notebook .ipynb_checkpoints @@ -34,3 +38,22 @@ htmlcov/ # Root-level test files (kept locally for development) /test*.py + +# AI/dev harness configuration (kept local, not in public repo) +CLAUDE.md +AGENTS.md +.claude/ + +# Internal-only documentation +docs/internal/ + +# Benchmark / evaluation outputs +# Only examples/ SUBDIRECTORIES are ignored; top-level example scripts stay tracked. +examples/*/ +# User-specific domain configs sitting flat in examples/ or src/scribe/config/ +examples/custom_*.txt +src/scribe/config/custom_*.txt +# Ad-hoc test scripts dropped in examples/ (separate from the tests/ tree) +examples/test_*.py +# Root-level eval result directory +malayalam-model-results/ diff --git a/examples/dictation-eval/predictions.jsonl b/examples/predictions.jsonl similarity index 100% rename from examples/dictation-eval/predictions.jsonl rename to examples/predictions.jsonl diff --git a/main.py b/main.py deleted file mode 100644 index 2e481e7..0000000 --- a/main.py +++ /dev/null @@ -1,6 +0,0 @@ -def main(): - print("Hello from dicterrors!") - - -if __name__ == "__main__": - main() From 28fa2402bde0af3f204695dcee2e3cb5ad681e0f Mon Sep 17 00:00:00 2001 From: Kavya Manohar Date: Fri, 24 Apr 2026 16:07:14 +0530 Subject: [PATCH 07/28] chore(examples): align batch_evaluate.py defaults with bundled sample The default --input and --output-dir paths now point to ./predictions.jsonl and ./output/, matching the file shipped at examples/predictions.jsonl. Anyone who clones the repo can now run, from examples/: uv run batch_evaluate.py with no flags and get a working evaluation against the bundled sample. The output directory ./output/ is automatically excluded from version control by the examples/*/ ignore rule. --- examples/batch_evaluate.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/examples/batch_evaluate.py b/examples/batch_evaluate.py index ce472bb..44341a0 100644 --- a/examples/batch_evaluate.py +++ b/examples/batch_evaluate.py @@ -132,7 +132,7 @@ def main(): formatter_class=argparse.RawDescriptionHelpFormatter, epilog=""" Examples: - # Use defaults (expects ./dictation-eval/predictions.jsonl) + # Use defaults (reads ./predictions.jsonl, writes to ./output/) python batch_evaluate.py # Custom input file and output directory @@ -149,14 +149,14 @@ def main(): parser.add_argument( "-i", "--input", - default="./nemo-adalat/in_22.jsonl", - help="Input JSONL file with predictions (default: ./dictation-eval/predictions.jsonl)", + default="./predictions.jsonl", + help="Input JSONL file with predictions (default: ./predictions.jsonl)", ) parser.add_argument( "-o", "--output-dir", - default="./nemo-adalat", - help="Output directory for results (default: ./dictation-eval)", + default="./output", + help="Output directory for results (default: ./output)", ) parser.add_argument( "--ref-field", From a7f37d2339179424139f6cf792aa7fd731675617 Mon Sep 17 00:00:00 2001 From: Kavya Manohar Date: Sat, 25 Apr 2026 14:47:30 +0530 Subject: [PATCH 08/28] test: introduce tests/ scaffold with paper golden cases MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Set up the foundations of a real pytest suite: - tests/conftest.py: shared fixtures for the bundled domain configs. - tests/test_imports.py: pins the public API surface. Every symbol re-exported from scribe.__init__ is enumerated with its expected kind, so downstream-breaking renames or drops fail loudly. Also asserts that __version__ is populated. - tests/test_paper_cases.py: golden cases for the headline empirical claims of the SCRIBE Interspeech submission — the Fig. 2 Malayalam sandhi merge-and-split (ERlex = 0% with sandhi, 100% without), legal domain shielding for u/s / PW1 / Ext.A, and the combined-denominator formula from §3.3. - pyproject.toml: pytest config (testpaths = tests, --strict-markers). Removes the legacy `/test*.py` ignore rule. The legacy root-level test_*.py scripts are kept out of the new tree; their useful logic will be mined into the per-module suite in the next commit. --- .gitignore | 3 -- pyproject.toml | 4 ++ tests/conftest.py | 23 +++++++++ tests/test_imports.py | 106 ++++++++++++++++++++++++++++++++++++++ tests/test_paper_cases.py | 91 ++++++++++++++++++++++++++++++++ 5 files changed, 224 insertions(+), 3 deletions(-) create mode 100644 tests/conftest.py create mode 100644 tests/test_imports.py create mode 100644 tests/test_paper_cases.py diff --git a/.gitignore b/.gitignore index 5ae3cd4..1d55636 100644 --- a/.gitignore +++ b/.gitignore @@ -36,9 +36,6 @@ htmlcov/ *.swp .DS_Store -# Root-level test files (kept locally for development) -/test*.py - # AI/dev harness configuration (kept local, not in public repo) CLAUDE.md AGENTS.md diff --git a/pyproject.toml b/pyproject.toml index 7112a14..a5c35e0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -65,3 +65,7 @@ target-version = "py310" [tool.ruff.lint] select = ["E", "F", "W", "I"] ignore = [] + +[tool.pytest.ini_options] +testpaths = ["tests"] +addopts = "-ra --strict-markers" diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000..10f2341 --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,23 @@ +"""Shared pytest fixtures for the scribe-eval test suite.""" + +import pytest + +from scribe import DomainConfig + + +@pytest.fixture +def legal_domain(): + """Bundled legal domain config (u/s, r/w, PW1, Ext.A, etc.).""" + return DomainConfig.legal() + + +@pytest.fixture +def medical_domain(): + """Bundled medical domain config (mg, ml, dosages, etc.).""" + return DomainConfig.medical() + + +@pytest.fixture +def technical_domain(): + """Bundled technical domain config (API, SDK, v1.0, etc.).""" + return DomainConfig.technical() diff --git a/tests/test_imports.py b/tests/test_imports.py new file mode 100644 index 0000000..d6d3991 --- /dev/null +++ b/tests/test_imports.py @@ -0,0 +1,106 @@ +"""Public API surface tests. + +Every symbol re-exported from `scribe.__init__` is covered here. If the +public API changes, this test catches it; if a release accidentally drops +or renames a public symbol, downstream users will break, so we make that +intent explicit and version-controlled. +""" + +import re + +import scribe + + +def test_version_is_populated(): + assert hasattr(scribe, "__version__") + assert isinstance(scribe.__version__, str) + # Either a real PEP 440 version (e.g. "0.1.0") or the editable-install + # fallback ("0.0.0+unknown"). + assert re.match(r"^\d+\.\d+\.\d+", scribe.__version__) + + +# Symbols grouped by module of origin. Update when the public API changes. +PUBLIC_API = { + # align + "DEFAULT_WEIGHTS": dict, + "align_arrays": "callable", + # analysis + "compute_category_contributions": "callable", + "compute_error_summary": "callable", + "compute_error_type_distribution": "callable", + "compute_frequent_deletions": "callable", + "compute_frequent_insertions": "callable", + "compute_frequent_substitutions": "callable", + "compute_total_error_rate": "callable", + # constants + "CAT_NUMERAL": str, + "CAT_PUNCT": str, + "CAT_WORD": str, + "CATEGORIES": (list, tuple), + "get_categories": "callable", + # domain_config + "DomainConfig": type, + # measure + "text_error_details": "callable", + "text_error_rates": "callable", + "token_error_details": "callable", + "token_error_rates": "callable", + # measure_batch + "aggregate_error_details": "callable", + "compute_aggregate_metrics": "callable", + "compute_sample_errors": "callable", + "print_evaluation_summary": "callable", + # normalize + "normalize_currency": "callable", + "normalize_date": "callable", + "normalize_numeral": "callable", + "normalize_token": "callable", + # reporting + "extract_error_rates": "callable", + "format_alignment_dict": "callable", + "format_alignment_table": "callable", + "format_contribution_table": "callable", + "format_dataset_table": "callable", + "format_error_counts_table": "callable", + "format_frequent_errors_table": "callable", + "format_metrics_dict": "callable", + "write_summary_to_file": "callable", + # tokenize + "domain_aware_tokenizer": "callable", +} + + +def test_every_public_symbol_is_exported(): + """Every name in PUBLIC_API must be importable from `scribe`.""" + missing = [name for name in PUBLIC_API if not hasattr(scribe, name)] + assert not missing, f"Missing from scribe.__init__: {missing}" + + +def test_every_public_symbol_has_expected_kind(): + """Each exported symbol is the expected kind (callable / type / instance).""" + mismatches = [] + for name, expected in PUBLIC_API.items(): + obj = getattr(scribe, name) + if expected == "callable": + ok = callable(obj) + elif isinstance(expected, type): + ok = isinstance(obj, expected) + elif isinstance(expected, tuple): + ok = isinstance(obj, expected) + else: + ok = False + if not ok: + mismatches.append((name, type(obj).__name__, expected)) + assert not mismatches, f"Kind mismatches: {mismatches}" + + +def test_categories_constants_are_consistent(): + """CAT_* constants appear in CATEGORIES, and get_categories() returns them.""" + assert scribe.CAT_WORD in scribe.CATEGORIES + assert scribe.CAT_NUMERAL in scribe.CATEGORIES + assert scribe.CAT_PUNCT in scribe.CATEGORIES + + cats = scribe.get_categories() + assert scribe.CAT_WORD in cats + assert scribe.CAT_NUMERAL in cats + assert scribe.CAT_PUNCT in cats diff --git a/tests/test_paper_cases.py b/tests/test_paper_cases.py new file mode 100644 index 0000000..525af3c --- /dev/null +++ b/tests/test_paper_cases.py @@ -0,0 +1,91 @@ +"""Golden cases that pin the headline claims of the SCRIBE paper. + +These tests are the contract between the library's behavior and the +empirical claims made in the Interspeech 2026 paper. If any of these +fail, a published claim has regressed. +""" + +import pytest + +from scribe import text_error_rates + +# Paper Figure 2: Malayalam sandhi-aware alignment +# Reference: "ഇന്ന് അല്ലെങ്കിൽ നാളെയാകട്ടെ" (3 word tokens) +# Hypothesis: "ഇന്നല്ലെങ്കിൽ നാളെ ആകട്ടെ" (3 word tokens) +# +# A naive 1:1 aligner reports WER = 100% (every word is a substitution). +# SCRIBE's sandhi-aware alignment recognises: +# - "ഇന്ന്" + "അല്ലെങ്കിൽ" -> "ഇന്നല്ലെങ്കിൽ" (2:1 merge) +# - "നാളെയാകട്ടെ" -> "നാളെ" + "ആകട്ടെ" (1:2 split) +# yielding ERlex = 0% with 2 sandhi corrections. +# +# This is the central empirical claim of the paper (Section 3.2, +# Figure 2). If this test fails, the headline result has regressed. +PAPER_FIG2_REF = "ഇന്ന് അല്ലെങ്കിൽ നാളെയാകട്ടെ" +PAPER_FIG2_HYP = "ഇന്നല്ലെങ്കിൽ നാളെ ആകട്ടെ" + + +def test_paper_fig2_sandhi_resolves_to_zero_lexical_error(): + """With sandhi enabled, the Fig. 2 case reports ERlex = 0%.""" + report = text_error_rates(PAPER_FIG2_REF, PAPER_FIG2_HYP, None, use_sandhi=True) + word = report["WORD"] + assert word["error_rate"] == 0.0 + assert word["substitutions"] == 0 + assert word["insertions"] == 0 + assert word["deletions"] == 0 + assert word["sandhi_hits"] == 2 + + +def test_paper_fig2_without_sandhi_inflates_to_100_percent(): + """With sandhi disabled (1:1 alignment), the same case reports ERlex = 100%.""" + report = text_error_rates(PAPER_FIG2_REF, PAPER_FIG2_HYP, None, use_sandhi=False) + word = report["WORD"] + assert word["error_rate"] == 1.0 + # Three reference word tokens, every one substituted by the 1:1 aligner. + assert word["substitutions"] == 3 + assert word["sandhi_hits"] == 0 + + +def test_paper_fig2_only_word_category_is_affected(): + """The Malayalam case has no numerals or punctuation; those rates are 0.""" + report = text_error_rates(PAPER_FIG2_REF, PAPER_FIG2_HYP, None, use_sandhi=True) + assert report["NUMERAL"]["error_rate"] == 0.0 + assert report["PUNCT"]["error_rate"] == 0.0 + + +# Paper claim: domain-entity shielding keeps multi-character legal tokens +# (e.g. u/s, PW1, Ext.A) atomic, so a single-character ASR error inside +# them is counted in the domain category, not split into spurious +# punctuation/word errors. Without shielding, "u/s" would tokenise as +# three tokens ("u", "/", "s") and a sub of "u" -> "us" would explode +# into multiple error types. +@pytest.mark.parametrize( + "ref,hyp,expected_legal_subs", + [ + # u/s misrecognised as "us" -> single LEGAL substitution. + ("charged u/s 302", "charged us 302", 1), + # PW1 misrecognised as "PW2" -> single LEGAL substitution. + ("witness PW1 testified", "witness PW2 testified", 1), + # Exact match -> no errors. + ("Ext.A is admitted", "Ext.A is admitted", 0), + ], +) +def test_legal_domain_shielding_keeps_entities_atomic(legal_domain, ref, hyp, expected_legal_subs): + report = text_error_rates(ref, hyp, legal_domain) + assert report["LEGAL"]["substitutions"] == expected_legal_subs + + +def test_combined_denominator_keeps_sparse_categories_honest(legal_domain): + """Paper §3.3: ER_t = (sub + ins + del) / N_comb, not N_t. + + Otherwise a single error in a 1-token category would show as 100%. + Here, 1 LEGAL sub against a 4-token reference must report 1/4 = 25% + LER, not 1/1 = 100%. + """ + ref = "charged u/s 302 IPC" + hyp = "charged us 302 IPC" + report = text_error_rates(ref, hyp, legal_domain) + # 1 legal entity ref-token, 2 word ref-tokens, 1 numeral ref-token = 4 total. + # 1 LEGAL substitution. ER_legal = 1/4 = 0.25. + assert report["LEGAL"]["substitutions"] == 1 + assert report["LEGAL"]["error_rate"] == pytest.approx(0.25) From b607146f2c48d16c557b1bd1cddf5e926eb68569 Mon Sep 17 00:00:00 2001 From: Kavya Manohar Date: Sat, 25 Apr 2026 15:32:03 +0530 Subject: [PATCH 09/28] test: add per-module test suite Adds unit tests across tokenize, align, measure, normalize, measure_batch, and reporting. Core modules (align, normalize, tokenize, domain_config, measure_batch) are at 77-98% line coverage; analysis and reporting layers remain candidates for later expansion. pyproject.toml: omit visualizer/ and charts.py from coverage measurement (UI and optional extras are not unit-testable without browser automation). --- pyproject.toml | 10 +++ tests/test_align.py | 79 +++++++++++++++++++++++ tests/test_measure.py | 92 +++++++++++++++++++++++++++ tests/test_measure_batch.py | 100 +++++++++++++++++++++++++++++ tests/test_normalize.py | 56 +++++++++++++++++ tests/test_reporting.py | 122 ++++++++++++++++++++++++++++++++++++ tests/test_tokenize.py | 114 +++++++++++++++++++++++++++++++++ 7 files changed, 573 insertions(+) create mode 100644 tests/test_align.py create mode 100644 tests/test_measure.py create mode 100644 tests/test_measure_batch.py create mode 100644 tests/test_normalize.py create mode 100644 tests/test_reporting.py create mode 100644 tests/test_tokenize.py diff --git a/pyproject.toml b/pyproject.toml index a5c35e0..e44097a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -69,3 +69,13 @@ ignore = [] [tool.pytest.ini_options] testpaths = ["tests"] addopts = "-ra --strict-markers" + +[tool.coverage.run] +source = ["scribe"] +# Streamlit UI and optional matplotlib charts are not unit-testable; they +# require browser automation or image-diff tooling. Excluded from coverage +# so the headline number reflects the testable library surface. +omit = [ + "src/scribe/visualizer/*", + "src/scribe/charts.py", +] diff --git a/tests/test_align.py b/tests/test_align.py new file mode 100644 index 0000000..8f3887b --- /dev/null +++ b/tests/test_align.py @@ -0,0 +1,79 @@ +"""Tests for the sandhi-aware alignment engine.""" + +from scribe import align_arrays, domain_aware_tokenizer + + +def _tok(text, domain=None): + return domain_aware_tokenizer(text, domain) + + +def test_identical_sequences_align_one_to_one(): + ref_toks, ref_tags = _tok("hello world") + hyp_toks, hyp_tags = _tok("hello world") + aligned_ref, aligned_hyp, _score = align_arrays(ref_toks, ref_tags, hyp_toks, hyp_tags) + # Same length, same tokens, same tags. + assert aligned_ref == aligned_hyp + assert len(aligned_ref) == len(ref_toks) + + +def test_align_returns_three_values(): + ref_toks, ref_tags = _tok("a b") + hyp_toks, hyp_tags = _tok("a b") + out = align_arrays(ref_toks, ref_tags, hyp_toks, hyp_tags) + assert len(out) == 3 + aligned_ref, aligned_hyp, score = out + assert isinstance(aligned_ref, list) + assert isinstance(aligned_hyp, list) + assert isinstance(score, float) + + +def test_alignment_lists_have_equal_length(): + """Alignment introduces gaps so the two output lists have equal length.""" + ref_toks, ref_tags = _tok("a b c") + hyp_toks, hyp_tags = _tok("a x b c") # one insertion + aligned_ref, aligned_hyp, _ = align_arrays(ref_toks, ref_tags, hyp_toks, hyp_tags) + assert len(aligned_ref) == len(aligned_hyp) + + +def test_pure_insertion_introduces_gap_in_ref(): + ref_toks, ref_tags = _tok("a b") + hyp_toks, hyp_tags = _tok("a b c") + aligned_ref, aligned_hyp, _ = align_arrays(ref_toks, ref_tags, hyp_toks, hyp_tags) + # Gap rows are ("**", "GAP"). The ref side picks up a gap row. + ref_real = [t for t, tag in aligned_ref if tag != "GAP"] + hyp_real = [t for t, tag in aligned_hyp if tag != "GAP"] + assert len(hyp_real) - len(ref_real) == 1 + + +def test_pure_deletion_introduces_gap_in_hyp(): + ref_toks, ref_tags = _tok("a b c") + hyp_toks, hyp_tags = _tok("a b") + aligned_ref, aligned_hyp, _ = align_arrays(ref_toks, ref_tags, hyp_toks, hyp_tags) + ref_real = [t for t, tag in aligned_ref if tag != "GAP"] + hyp_real = [t for t, tag in aligned_hyp if tag != "GAP"] + assert len(ref_real) - len(hyp_real) == 1 + + +def test_higher_score_for_identical_than_different(): + """Identical inputs should score strictly higher than substituted ones.""" + ref_toks, ref_tags = _tok("alpha beta gamma") + hyp_same = ref_toks + hyp_same_tags = ref_tags + hyp_diff_toks, hyp_diff_tags = _tok("alpha delta gamma") + _, _, s_same = align_arrays(ref_toks, ref_tags, hyp_same, hyp_same_tags) + _, _, s_diff = align_arrays(ref_toks, ref_tags, hyp_diff_toks, hyp_diff_tags) + assert s_same > s_diff + + +def test_sandhi_merge_reduces_alignment_count(): + """The 2:1 merge `ഇന്ന് അല്ലെങ്കിൽ -> ഇന്നല്ലെങ്കിൽ` must align as one merge, + not two substitutions.""" + ref_toks, ref_tags = _tok("ഇന്ന് അല്ലെങ്കിൽ") + hyp_toks, hyp_tags = _tok("ഇന്നല്ലെങ്കിൽ") + aligned_ref, aligned_hyp, _ = align_arrays( + ref_toks, ref_tags, hyp_toks, hyp_tags, use_sandhi=True + ) + # In the merge case the ref side keeps both tokens, the hyp side + # picks up at least one slot containing the merged word. + hyp_real = [t for t, tag in aligned_hyp if tag != "GAP"] + assert any("ഇന്നല്ലെങ്കിൽ" in tok for tok in hyp_real) diff --git a/tests/test_measure.py b/tests/test_measure.py new file mode 100644 index 0000000..4462ba8 --- /dev/null +++ b/tests/test_measure.py @@ -0,0 +1,92 @@ +"""End-to-end tests for measure (text_error_rates / token_error_rates). + +The combined-denominator math is the central correctness contract here: +ER_t = (sub + ins + del) / N_comb where N_comb sums ref tokens across +ALL categories, not just category t. +""" + +import pytest + +from scribe import text_error_rates, token_error_rates + + +def test_perfect_match_reports_zero_errors(): + ref = "the case is closed." + report = text_error_rates(ref, ref, None) + for cat in ("WORD", "NUMERAL", "PUNCT"): + assert report[cat]["error_rate"] == 0.0 + assert report[cat]["substitutions"] == 0 + assert report[cat]["insertions"] == 0 + assert report[cat]["deletions"] == 0 + + +def test_base_categories_are_always_present(): + """Even when a category has zero tokens, its key must exist.""" + report = text_error_rates("just words here", "just words here", None) + assert "WORD" in report + assert "NUMERAL" in report + assert "PUNCT" in report + + +def test_domain_category_appears_when_domain_supplied(legal_domain): + report = text_error_rates("charged u/s 302", "charged u/s 302", legal_domain) + assert "LEGAL" in report + + +def test_domain_category_absent_without_domain(): + report = text_error_rates("charged u/s 302", "charged u/s 302", None) + assert "LEGAL" not in report + + +def test_single_word_substitution_counted_once(): + report = text_error_rates("the case is closed", "the case is open", None) + assert report["WORD"]["substitutions"] == 1 + assert report["WORD"]["insertions"] == 0 + assert report["WORD"]["deletions"] == 0 + + +def test_combined_denominator_yields_low_rate_for_sparse_category(legal_domain): + """Paper §3.3: 1 LEGAL error against a 4-token ref must report 25% LER, + not the misleading 100% you would get with a per-category denominator. + """ + report = text_error_rates("charged u/s 302 IPC", "charged us 302 IPC", legal_domain) + assert report["LEGAL"]["substitutions"] == 1 + assert report["LEGAL"]["error_rate"] == pytest.approx(0.25) + + +def test_normalize_flag_collapses_date_format_variants(legal_domain): + """22.05.2023 vs 22/05/2023 are equivalent under normalize=True.""" + ref = "case dated 22.05.2023" + hyp = "case dated 22/05/2023" + norm = text_error_rates(ref, hyp, legal_domain, normalize=True) + raw = text_error_rates(ref, hyp, legal_domain, normalize=False) + # Normalised: zero numeral error. Raw: at least one substitution. + assert norm["NUMERAL"]["error_rate"] == 0.0 + assert raw["NUMERAL"]["substitutions"] + raw["NUMERAL"]["error_rate"] > 0 + + +def test_normalize_flag_collapses_currency_comma_variants(legal_domain): + ref = "amount Rs. 10,500" + hyp = "amount Rs. 10500" + norm = text_error_rates(ref, hyp, legal_domain, normalize=True) + raw = text_error_rates(ref, hyp, legal_domain, normalize=False) + assert norm["NUMERAL"]["error_rate"] == 0.0 + assert raw["NUMERAL"]["substitutions"] + raw["NUMERAL"]["error_rate"] > 0 + + +def test_token_error_rates_accepts_aligned_input(): + """token_error_rates is the lower-level entry that takes already-aligned + token streams (as the alignment engine produces). + """ + aligned_ref = [("a", "WORD"), ("b", "WORD"), ("c", "WORD")] + aligned_hyp = [("a", "WORD"), ("b", "WORD"), ("c", "WORD")] + report = token_error_rates(aligned_ref, aligned_hyp) + assert report["WORD"]["error_rate"] == 0.0 + assert report["WORD"]["substitutions"] == 0 + + +def test_token_error_rates_reports_substitution_count(): + aligned_ref = [("a", "WORD"), ("b", "WORD"), ("c", "WORD")] + aligned_hyp = [("a", "WORD"), ("x", "WORD"), ("c", "WORD")] + report = token_error_rates(aligned_ref, aligned_hyp) + assert report["WORD"]["substitutions"] == 1 diff --git a/tests/test_measure_batch.py b/tests/test_measure_batch.py new file mode 100644 index 0000000..3b403a8 --- /dev/null +++ b/tests/test_measure_batch.py @@ -0,0 +1,100 @@ +"""Tests for the batch-evaluation pipeline.""" + +import json + +import pytest + +from scribe import compute_aggregate_metrics, compute_sample_errors + + +@pytest.fixture +def sample_jsonl(tmp_path): + """Write a tiny JSONL file with two datasets of two samples each.""" + records = [ + { + "transcript_cleaned": "the case is closed.", + "prediction": "the case is closed.", + "source_dataset": "dataset-a", + }, + { + "transcript_cleaned": "charged u/s 302 IPC", + "prediction": "charged u/s 303 IPC", + "source_dataset": "dataset-a", + }, + { + "transcript_cleaned": "amount paid was Rs. 10,500", + "prediction": "amount paid was Rs. 10,500", + "source_dataset": "dataset-b", + }, + { + "transcript_cleaned": "hearing on 22.05.2023", + "prediction": "hearing on 23.05.2023", + "source_dataset": "dataset-b", + }, + ] + path = tmp_path / "predictions.jsonl" + with path.open("w", encoding="utf-8") as f: + for rec in records: + f.write(json.dumps(rec, ensure_ascii=False) + "\n") + return path + + +def test_compute_sample_errors_returns_one_entry_per_record(sample_jsonl, legal_domain): + results = compute_sample_errors(str(sample_jsonl), domain_config=legal_domain) + assert len(results) == 4 + + +def test_compute_sample_errors_writes_detailed_output(tmp_path, sample_jsonl, legal_domain): + out = tmp_path / "detailed.jsonl" + compute_sample_errors(str(sample_jsonl), output_file=str(out), domain_config=legal_domain) + assert out.exists() + lines = out.read_text(encoding="utf-8").splitlines() + assert len(lines) == 4 + # Each line must be valid JSON. The detailed per-category breakdown + # is nested under the "detailed_report" key. + parsed = [json.loads(line) for line in lines] + assert all("detailed_report" in p for p in parsed) + assert all("WORD" in p["detailed_report"] for p in parsed) + + +def test_aggregate_metrics_has_overall_and_by_dataset(sample_jsonl, legal_domain): + results = compute_sample_errors(str(sample_jsonl), domain_config=legal_domain) + agg = compute_aggregate_metrics(results, domain_config=legal_domain) + assert "overall" in agg + assert "by_dataset" in agg + assert set(agg["by_dataset"].keys()) == {"dataset-a", "dataset-b"} + + +def test_aggregate_overall_metrics_have_required_categories(sample_jsonl, legal_domain): + results = compute_sample_errors(str(sample_jsonl), domain_config=legal_domain) + agg = compute_aggregate_metrics(results, domain_config=legal_domain) + overall = agg["overall"] + for cat in ("WORD", "NUMERAL", "PUNCT", "LEGAL"): + assert cat in overall + assert "error_rate" in overall[cat] + + +def test_per_dataset_totals_reflect_per_dataset_records(sample_jsonl, legal_domain): + """The dataset-a aggregate must reflect the two dataset-a samples, + independent of dataset-b's samples.""" + results = compute_sample_errors(str(sample_jsonl), domain_config=legal_domain) + agg = compute_aggregate_metrics(results, domain_config=legal_domain) + # dataset-a has one perfect sample and one with a numeral substitution + # ("302" -> "303"). So its NUMERAL substitutions should be exactly 1. + assert agg["by_dataset"]["dataset-a"]["NUMERAL"]["substitutions"] == 1 + # dataset-b has one perfect sample and one with a date substitution. + # Its NUMERAL category should also report at least one error. + assert agg["by_dataset"]["dataset-b"]["NUMERAL"]["substitutions"] >= 1 + + +def test_field_name_overrides(tmp_path, legal_domain): + """compute_sample_errors honours custom ref/hyp field names.""" + records = [ + {"reference": "hello", "hypothesis": "hello", "source_dataset": "x"}, + ] + path = tmp_path / "custom.jsonl" + path.write_text(json.dumps(records[0]) + "\n", encoding="utf-8") + results = compute_sample_errors( + str(path), ref_field="reference", hyp_field="hypothesis", domain_config=legal_domain + ) + assert len(results) == 1 diff --git a/tests/test_normalize.py b/tests/test_normalize.py new file mode 100644 index 0000000..2f18b72 --- /dev/null +++ b/tests/test_normalize.py @@ -0,0 +1,56 @@ +"""Tests for token normalisation helpers (date, currency, numeral).""" + +import pytest + +from scribe import normalize_currency, normalize_date, normalize_numeral, normalize_token + + +@pytest.mark.parametrize( + "raw,expected", + [ + ("22.05.2023", "22-05-2023"), + ("22/05/2023", "22-05-2023"), + ("22-05-2023", "22-05-2023"), + ], +) +def test_normalize_date_canonicalises_separators(raw, expected): + assert normalize_date(raw) == expected + + +def test_normalize_date_passes_through_non_dates(): + assert normalize_date("hello") == "hello" + + +@pytest.mark.parametrize( + "raw,expected", + [ + ("10,500", "10500"), + ("1,000,000", "1000000"), + ("10500", "10500"), + ], +) +def test_normalize_currency_strips_commas(raw, expected): + assert normalize_currency(raw) == expected + + +def test_normalize_currency_passes_through_plain_words(): + assert normalize_currency("rupees") == "rupees" + + +def test_normalize_numeral_handles_pure_digits(): + # The function may or may not transform plain integers, but it must + # at least return them unchanged (idempotent on canonical form). + assert normalize_numeral("42") == "42" + + +def test_normalize_token_dispatches_by_category(): + """normalize_token routes to the right normaliser based on category.""" + # The exact contract we exercise: token-level normalisation must, at + # minimum, produce equal outputs for date/currency variants. + assert normalize_token("22.05.2023", "NUMERAL") == normalize_token("22/05/2023", "NUMERAL") + assert normalize_token("10,500", "NUMERAL") == normalize_token("10500", "NUMERAL") + + +def test_normalize_token_word_category_unchanged(): + """WORD-tagged text is not touched by numeral normalisation rules.""" + assert normalize_token("hello", "WORD") == "hello" diff --git a/tests/test_reporting.py b/tests/test_reporting.py new file mode 100644 index 0000000..7a39a3d --- /dev/null +++ b/tests/test_reporting.py @@ -0,0 +1,122 @@ +"""Tests for reporting / formatting helpers.""" + +from scribe import ( + align_arrays, + compute_aggregate_metrics, + compute_sample_errors, + domain_aware_tokenizer, + extract_error_rates, + format_alignment_table, + format_dataset_table, + format_metrics_dict, + text_error_rates, + write_summary_to_file, +) + + +def _basic_report(legal_domain): + return text_error_rates("charged u/s 302 IPC", "charged us 302 IPC", legal_domain) + + +def test_format_metrics_dict_returns_expected_keys(legal_domain): + """format_metrics_dict pulls the headline metrics into a flat dict. + + With a domain config it adds the domain label (e.g. LER) plus + Sandhi and Total counts. + """ + report = _basic_report(legal_domain) + formatted = format_metrics_dict(report, legal_domain) + assert isinstance(formatted, dict) + # Headline rate keys are formatted as percent strings. + for key in ("WER", "NER", "PER"): + assert key in formatted + assert isinstance(formatted[key], str) + assert formatted[key].endswith("%") + # Domain label and counts also present. + assert "LER" in formatted + assert "Sandhi" in formatted + assert "Total" in formatted + + +def test_extract_error_rates_returns_floats_and_sandhi_count(legal_domain): + """extract_error_rates returns the raw numeric rates (floats) plus + sandhi count (int).""" + report = _basic_report(legal_domain) + rates = extract_error_rates(report, legal_domain) + assert isinstance(rates, dict) + for key in ("wer", "ner", "per", "ler"): + assert key in rates + assert isinstance(rates[key], (int, float)) + assert 0.0 <= rates[key] <= 1.0 + assert "sandhi" in rates + assert isinstance(rates["sandhi"], int) + + +def test_format_alignment_table_returns_rows_for_aligned_tokens(legal_domain): + """format_alignment_table consumes aligned token streams (the output + of align_arrays) and returns a row per aligned position. + """ + ref_toks, ref_tags = domain_aware_tokenizer("charged u/s 302", legal_domain) + hyp_toks, hyp_tags = domain_aware_tokenizer("charged us 302", legal_domain) + aligned_ref, aligned_hyp, _ = align_arrays(ref_toks, ref_tags, hyp_toks, hyp_tags) + rows = format_alignment_table(aligned_ref, aligned_hyp) + assert isinstance(rows, list) + assert rows, "Expected at least one alignment row" + # Each row is a dict (column -> value). + assert all(isinstance(row, dict) for row in rows) + + +def test_format_dataset_table_takes_aggregate_shape(tmp_path, legal_domain): + """format_dataset_table consumes the dict returned by + compute_aggregate_metrics, which has the shape + {"overall": ..., "by_dataset": {dataset: report, ...}}. + """ + # Build a tiny aggregate from two synthetic samples spanning two datasets. + import json + + inp = tmp_path / "predictions.jsonl" + inp.write_text( + "\n".join( + [ + json.dumps( + {"transcript_cleaned": "a b", "prediction": "a b", "source_dataset": "ds1"} + ), + json.dumps( + {"transcript_cleaned": "x y", "prediction": "x z", "source_dataset": "ds2"} + ), + ] + ) + + "\n", + encoding="utf-8", + ) + results = compute_sample_errors(str(inp), domain_config=legal_domain) + agg = compute_aggregate_metrics(results, domain_config=legal_domain) + rows = format_dataset_table(agg, legal_domain) + assert isinstance(rows, list) + assert rows, "Expected at least the OVERALL row" + # An OVERALL row plus one per dataset. + dataset_names = {row.get("Dataset") for row in rows} + assert "OVERALL" in dataset_names + assert "ds1" in dataset_names + assert "ds2" in dataset_names + + +def test_write_summary_to_file_creates_a_readable_file(tmp_path, legal_domain): + """write_summary_to_file persists a formatted aggregate summary.""" + import json + + inp = tmp_path / "predictions.jsonl" + inp.write_text( + json.dumps({"transcript_cleaned": "a b", "prediction": "a b", "source_dataset": "ds1"}) + + "\n", + encoding="utf-8", + ) + results = compute_sample_errors(str(inp), domain_config=legal_domain) + agg = compute_aggregate_metrics(results, domain_config=legal_domain) + + target = tmp_path / "summary.txt" + write_summary_to_file(agg, str(target), legal_domain) + assert target.exists() + content = target.read_text(encoding="utf-8") + assert content.strip(), "Summary file is empty" + assert "OVERALL" in content diff --git a/tests/test_tokenize.py b/tests/test_tokenize.py new file mode 100644 index 0000000..fdc311c --- /dev/null +++ b/tests/test_tokenize.py @@ -0,0 +1,114 @@ +"""Tests for the domain-aware tokenizer.""" + +import pytest + +from scribe import CAT_NUMERAL, CAT_PUNCT, CAT_WORD, DomainConfig, domain_aware_tokenizer + + +def test_empty_string_returns_empty_token_list(): + tokens, tags = domain_aware_tokenizer("") + assert tokens == [] + assert tags == [] + + +def test_whitespace_only_returns_empty_token_list(): + tokens, tags = domain_aware_tokenizer(" \n\t ") + assert tokens == [] + assert tags == [] + + +def test_words_are_tagged_WORD(): + tokens, tags = domain_aware_tokenizer("hello world") + assert tokens == ["hello", "world"] + assert tags == [CAT_WORD, CAT_WORD] + + +def test_punctuation_is_separate_tokens(): + tokens, tags = domain_aware_tokenizer("hello, world.") + # The exact comma/period split is implementation detail, but each + # punctuation character should be tagged PUNCT. + assert "," in tokens or "." in tokens + for tok, tag in zip(tokens, tags): + if tok in {",", "."}: + assert tag == CAT_PUNCT + + +def test_integer_numerals_are_tagged_NUMERAL(): + tokens, tags = domain_aware_tokenizer("section 302 of IPC") + assert "302" in tokens + idx = tokens.index("302") + assert tags[idx] == CAT_NUMERAL + + +def test_dates_are_kept_as_one_numeral_token(): + """Dates like 22.05.2023 must NOT be split on the dots.""" + tokens, tags = domain_aware_tokenizer("on 22.05.2023") + assert "22.05.2023" in tokens + idx = tokens.index("22.05.2023") + assert tags[idx] == CAT_NUMERAL + + +def test_times_are_kept_as_one_numeral_token(): + tokens, tags = domain_aware_tokenizer("at 10:30 sharp") + assert "10:30" in tokens + idx = tokens.index("10:30") + assert tags[idx] == CAT_NUMERAL + + +def test_currency_with_commas_kept_as_one_numeral_token(): + tokens, tags = domain_aware_tokenizer("Rs. 10,500 paid") + assert "10,500" in tokens + idx = tokens.index("10,500") + assert tags[idx] == CAT_NUMERAL + + +def test_legal_domain_shields_us_slash_token(legal_domain): + """`u/s` is one LEGAL token, not split into `u`, `/`, `s`.""" + tokens, tags = domain_aware_tokenizer("charged u/s 302", legal_domain) + assert "u/s" in tokens + idx = tokens.index("u/s") + assert tags[idx] == "LEGAL" + + +def test_legal_domain_shields_pw_witness_patterns(legal_domain): + """PW1, PW 1, PW-1 should all be LEGAL tokens (regex-based shielding).""" + for ref in ["witness PW1", "witness PW-1"]: + tokens, tags = domain_aware_tokenizer(ref, legal_domain) + legal_tokens = [t for t, tag in zip(tokens, tags) if tag == "LEGAL"] + assert legal_tokens, f"No LEGAL token found in {ref!r}" + + +def test_no_domain_leaves_legal_terms_as_WORD(): + """Without a domain config, `u/s` is a regular WORD token.""" + tokens, tags = domain_aware_tokenizer("charged u/s 302") + assert "u/s" in tokens + idx = tokens.index("u/s") + # The point: not LEGAL. (Could be WORD or a combination — we just + # assert it isn't tagged with the domain category.) + assert tags[idx] != "LEGAL" + + +def test_medical_domain_shields_dosage_units(medical_domain): + """`mg`, `ml`, etc. are MEDICAL tokens with the medical config.""" + tokens, tags = domain_aware_tokenizer("administer 5 mg twice", medical_domain) + medical_tokens = [t for t, tag in zip(tokens, tags) if tag == "MEDICAL"] + assert medical_tokens, "Expected at least one MEDICAL token" + + +def test_indic_text_tokenizes_per_whitespace(): + """Malayalam words separated by spaces tokenize as individual WORDs.""" + text = "ഇന്ന് നാളെ" + tokens, tags = domain_aware_tokenizer(text) + assert len(tokens) == 2 + assert all(tag == CAT_WORD for tag in tags) + + +@pytest.mark.parametrize( + "domain_factory", + [DomainConfig.legal, DomainConfig.medical, DomainConfig.technical], +) +def test_factory_methods_produce_usable_configs(domain_factory): + config = domain_factory() + # The tokenizer must accept it without error. + tokens, tags = domain_aware_tokenizer("test 123 abc.", config) + assert len(tokens) == len(tags) From 6a623167858d2465bc9118eb4d5f54fb973ff252 Mon Sep 17 00:00:00 2001 From: Kavya Manohar Date: Sat, 25 Apr 2026 15:36:13 +0530 Subject: [PATCH 10/28] test: cover DomainConfig.from_file end-to-end Adds tests/test_domain_config.py with 25 tests across 7 classes covering file parsing, metadata, regex / literal patterns, parameter overrides, error handling, integration with the tokenizer, and the bundled-config factory methods (DomainConfig.legal / .medical / .technical). --- examples/test_domains.py | 54 ---- tests/test_domain_config.py | 576 ++++++++++++++++++++++++++++++++++++ 2 files changed, 576 insertions(+), 54 deletions(-) delete mode 100644 examples/test_domains.py create mode 100644 tests/test_domain_config.py diff --git a/examples/test_domains.py b/examples/test_domains.py deleted file mode 100644 index b6a39b1..0000000 --- a/examples/test_domains.py +++ /dev/null @@ -1,54 +0,0 @@ -#!/usr/bin/env python3 -"""Test domain configuration flexibility.""" - -from dicterrors import DomainConfig, domain_aware_tokenizer, text_error_rates, LEGAL_DOMAIN, MEDICAL_DOMAIN - -# Test 1: Legal domain -print("=== Test 1: Legal Domain ===") -text = "charged u/s 302 IPC" -tokens, tags = domain_aware_tokenizer(text, LEGAL_DOMAIN) -print(f"Text: {text}") -print(f"Tokens: {tokens}") -print(f"Tags: {tags}") -print() - -# Test 2: Medical domain -print("=== Test 2: Medical Domain ===") -text = "Take 500mg twice daily" -tokens, tags = domain_aware_tokenizer(text, MEDICAL_DOMAIN) -print(f"Text: {text}") -print(f"Tokens: {tokens}") -print(f"Tags: {tags}") -print() - -# Test 3: No domain -print("=== Test 3: No Domain ===") -text = "Just regular text with 123 numbers" -tokens, tags = domain_aware_tokenizer(text, None) -print(f"Text: {text}") -print(f"Tokens: {tokens}") -print(f"Tags: {tags}") -print() - -# Test 4: Custom domain -print("=== Test 4: Custom Domain ===") -custom = DomainConfig("custom", ["u/s", "r/w", "sec."], category="CUSTOM", label="CuER") -text = "charged u/s 302 sec. 3 IPC" -tokens, tags = domain_aware_tokenizer(text, custom) -print(f"Text: {text}") -print(f"Tokens: {tokens}") -print(f"Tags: {tags}") -print() - -# Test 5: Error rates with different domains -print("=== Test 5: Error Rates with Medical Domain ===") -ref = "Administer 500mg twice daily" -hyp = "Administer 500 mg twice daily" -report = text_error_rates(ref, hyp, MEDICAL_DOMAIN) -print(f"Reference: {ref}") -print(f"Hypothesis: {hyp}") -print(f"Categories in report: {list(report.keys())}") -print(f"Medical ER: {report['MEDICAL']['error_rate']:.2%}") -print() - -print("✅ All domain configuration tests passed!") diff --git a/tests/test_domain_config.py b/tests/test_domain_config.py new file mode 100644 index 0000000..a49a346 --- /dev/null +++ b/tests/test_domain_config.py @@ -0,0 +1,576 @@ +#!/usr/bin/env python3 +""" +Test suite for file-based domain configuration loading. + +Tests DomainConfig.from_file() functionality including: +- Parsing literal terms and regex patterns +- Metadata handling and parameter overrides +- Error handling for invalid files +- Integration with tokenization and error rate calculation +""" + +import os +import tempfile + +import pytest + +from scribe import DomainConfig, domain_aware_tokenizer, text_error_rates + + +class TestFileLoading: + """Test basic file loading and parsing.""" + + def test_load_literal_terms_only(self): + """Load config with only literal terms.""" + content = """ +@name: test +@category: TEST +@label: TER + +u/s +r/w +sec. +""" + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f: + f.write(content) + temp_path = f.name + + try: + config = DomainConfig.from_file(temp_path) + assert config.name == "test" + assert config.category == "TEST" + assert config.label == "TER" + assert not config.case_sensitive + + # Test that patterns match + assert config.matches("u/s") + assert config.matches("r/w") + assert config.matches("sec.") + finally: + os.unlink(temp_path) + + def test_load_regex_patterns_only(self): + """Load config with only regex patterns.""" + content = """ +@name: test +@category: TEST + +REGEX: PW[-\\s]*\\d+ +REGEX: CW[-\\s]*\\d+ +""" + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f: + f.write(content) + temp_path = f.name + + try: + config = DomainConfig.from_file(temp_path) + assert config.name == "test" + + # Test regex patterns match + assert config.matches("PW1") + assert config.matches("PW 1") + assert config.matches("PW-1") + assert config.matches("CW2") + assert config.matches("CW 2") + assert not config.matches("PW") # No number + finally: + os.unlink(temp_path) + + def test_load_mixed_patterns(self): + """Load config with both literal terms and regex patterns.""" + content = """ +@name: mixed +@category: MIXED + +# Literal terms +u/s +r/w + +# Regex patterns +REGEX: PW[-\\s]*\\d+ +""" + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f: + f.write(content) + temp_path = f.name + + try: + config = DomainConfig.from_file(temp_path) + + # Literal terms should match + assert config.matches("u/s") + assert config.matches("r/w") + + # Regex patterns should match + assert config.matches("PW1") + assert config.matches("PW 1") + finally: + os.unlink(temp_path) + + def test_comments_and_empty_lines_ignored(self): + """Comments and empty lines should be ignored.""" + content = """ +# This is a comment +@name: test + +# Another comment +u/s + +# Blank lines above and below + +r/w +""" + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f: + f.write(content) + temp_path = f.name + + try: + config = DomainConfig.from_file(temp_path) + assert config.matches("u/s") + assert config.matches("r/w") + finally: + os.unlink(temp_path) + + def test_inline_comments_removed(self): + """Inline comments after patterns should be removed.""" + content = """ +@name: test + +u/s # Section reference +REGEX: PW[-\\s]*\\d+ # Prosecution witness +""" + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f: + f.write(content) + temp_path = f.name + + try: + config = DomainConfig.from_file(temp_path) + assert config.matches("u/s") + assert config.matches("PW1") + # Should not match the comment text + assert not config.matches("Section reference") + finally: + os.unlink(temp_path) + + +class TestMetadataParsing: + """Test metadata parsing and defaults.""" + + def test_all_metadata_fields(self): + """Parse all metadata fields.""" + content = """ +@name: legal +@category: LEGAL +@label: LER +@case_sensitive: true + +u/s +""" + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f: + f.write(content) + temp_path = f.name + + try: + config = DomainConfig.from_file(temp_path) + assert config.name == "legal" + assert config.category == "LEGAL" + assert config.label == "LER" + assert config.case_sensitive is True + finally: + os.unlink(temp_path) + + def test_metadata_defaults(self): + """Test default values when metadata is missing.""" + content = """ +u/s +r/w +""" + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f: + f.write(content) + temp_path = f.name + + try: + config = DomainConfig.from_file(temp_path) + assert config.name == "domain" # Default name + assert config.category == "DOMAIN_DOMAIN" # Default from name + assert config.label == "DOMAINER" # Default from name + assert config.case_sensitive is False # Default + finally: + os.unlink(temp_path) + + def test_case_sensitive_parsing(self): + """Test case_sensitive metadata parsing.""" + test_cases = [ + ("true", True), + ("True", True), + ("TRUE", True), + ("yes", True), + ("1", True), + ("false", False), + ("False", False), + ("no", False), + ("0", False), + ] + + for value, expected in test_cases: + content = f""" +@case_sensitive: {value} +test +""" + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f: + f.write(content) + temp_path = f.name + + try: + config = DomainConfig.from_file(temp_path) + assert config.case_sensitive == expected, f"Failed for value: {value}" + finally: + os.unlink(temp_path) + + +class TestParameterOverrides: + """Test runtime parameter overrides.""" + + def test_name_override(self): + """Override name from file.""" + content = """ +@name: original + +u/s +""" + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f: + f.write(content) + temp_path = f.name + + try: + config = DomainConfig.from_file(temp_path, name="override") + assert config.name == "override" + finally: + os.unlink(temp_path) + + def test_category_override(self): + """Override category from file.""" + content = """ +@category: ORIGINAL + +u/s +""" + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f: + f.write(content) + temp_path = f.name + + try: + config = DomainConfig.from_file(temp_path, category="OVERRIDE") + assert config.category == "OVERRIDE" + finally: + os.unlink(temp_path) + + def test_case_sensitive_override(self): + """Override case_sensitive from file.""" + content = """ +@case_sensitive: false + +API +""" + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f: + f.write(content) + temp_path = f.name + + try: + config = DomainConfig.from_file(temp_path, case_sensitive=True) + assert config.case_sensitive is True + finally: + os.unlink(temp_path) + + +class TestPatternMatching: + """Test pattern matching behavior.""" + + def test_case_sensitivity(self): + """Test case-sensitive vs case-insensitive matching.""" + content = """ +@case_sensitive: true + +API +SDK +""" + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f: + f.write(content) + temp_path = f.name + + try: + # Case-sensitive: should not match lowercase + config_sensitive = DomainConfig.from_file(temp_path) + assert config_sensitive.matches("API") + assert not config_sensitive.matches("api") + assert not config_sensitive.matches("Api") + + # Override to case-insensitive: should match any case + config_insensitive = DomainConfig.from_file(temp_path, case_sensitive=False) + assert config_insensitive.matches("API") + assert config_insensitive.matches("api") + assert config_insensitive.matches("Api") + finally: + os.unlink(temp_path) + + def test_literal_escaping(self): + """Literal terms should be escaped (u/s doesn't match 'us').""" + content = """ +@name: test + +u/s +r/w +sec. +""" + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f: + f.write(content) + temp_path = f.name + + try: + config = DomainConfig.from_file(temp_path) + + # Should match exact terms + assert config.matches("u/s") + assert config.matches("r/w") + + # Should NOT match without special chars (escaping working) + assert not config.matches("us") + assert not config.matches("rw") + + # Period should be literal, not "any character" + assert config.matches("sec.") + assert not config.matches("seca") # Period is not wildcard + finally: + os.unlink(temp_path) + + def test_regex_witness_patterns(self): + """Test flexible witness designation patterns.""" + content = """ +@name: legal + +REGEX: PW[-\\s]*\\d+ +REGEX: CW[-\\s]*\\d+ +""" + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f: + f.write(content) + temp_path = f.name + + try: + config = DomainConfig.from_file(temp_path) + + # Should match various formats + assert config.matches("PW1") + assert config.matches("PW 1") + assert config.matches("PW-1") + assert config.matches("PW123") + assert config.matches("PW 123") + + assert config.matches("CW1") + assert config.matches("CW 1") + assert config.matches("CW-1") + + # Should not match without number + assert not config.matches("PW") + assert not config.matches("CW") + finally: + os.unlink(temp_path) + + +class TestErrorHandling: + """Test error handling for invalid inputs.""" + + def test_file_not_found(self): + """Should raise FileNotFoundError for non-existent file.""" + with pytest.raises(FileNotFoundError): + DomainConfig.from_file("/nonexistent/path/file.txt") + + def test_empty_file(self): + """Should raise ValueError for file with no patterns.""" + content = """ +# Only comments +@name: test +# And metadata +""" + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f: + f.write(content) + temp_path = f.name + + try: + with pytest.raises(ValueError, match="No patterns found"): + DomainConfig.from_file(temp_path) + finally: + os.unlink(temp_path) + + def test_invalid_regex(self): + """Should raise ValueError for invalid regex pattern.""" + content = """ +@name: test + +REGEX: PW[-\\s*\\d+ +""" # Missing closing bracket + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f: + f.write(content) + temp_path = f.name + + try: + with pytest.raises(ValueError, match="Invalid regex pattern"): + DomainConfig.from_file(temp_path) + finally: + os.unlink(temp_path) + + def test_invalid_metadata_format(self): + """Should raise ValueError for invalid metadata format.""" + content = """ +@name_without_colon + +u/s +""" + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f: + f.write(content) + temp_path = f.name + + try: + with pytest.raises(ValueError, match="Invalid metadata format"): + DomainConfig.from_file(temp_path) + finally: + os.unlink(temp_path) + + +class TestIntegration: + """Test integration with tokenization and error calculation.""" + + def test_with_domain_aware_tokenizer(self): + """Loaded config should work with domain_aware_tokenizer.""" + content = """ +@name: legal +@category: LEGAL + +u/s +r/w +REGEX: PW[-\\s]*\\d+ +""" + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f: + f.write(content) + temp_path = f.name + + try: + config = DomainConfig.from_file(temp_path) + + # Test with various inputs + tokens1, tags1 = domain_aware_tokenizer("charged u/s 302 IPC", config) + assert "u/s" in tokens1 + assert "LEGAL" in tags1 + + tokens2, tags2 = domain_aware_tokenizer("witness PW1 testified", config) + assert "PW1" in tokens2 or "PW" in tokens2 # Depends on exact tokenization + assert "LEGAL" in tags2 + + tokens3, tags3 = domain_aware_tokenizer("witness PW 1 testified", config) + assert "LEGAL" in tags3 + finally: + os.unlink(temp_path) + + def test_with_text_error_rates(self): + """Loaded config should work with text_error_rates.""" + content = """ +@name: legal +@category: LEGAL +@label: LER + +u/s +REGEX: PW[-\\s]*\\d+ +""" + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f: + f.write(content) + temp_path = f.name + + try: + config = DomainConfig.from_file(temp_path) + + ref = "charged u/s 302 IPC and PW1 testified" + hyp = "charged us 302 IPC and PW 1 testified" + + report = text_error_rates(ref, hyp, config) + + # Should have LEGAL category in report + assert "LEGAL" in report + assert "error_rate" in report["LEGAL"] + finally: + os.unlink(temp_path) + + def test_backward_compatibility(self): + """File-based config should produce same results as code-based.""" + # Create file with same patterns as LEGAL_DOMAIN + content = """ +@name: legal +@category: LEGAL +@label: LER + +u/s +r/w +w.p. +o.s. +no. +v. +vs. +art. +sec. +PW +CW +Ext. +""" + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt", delete=False) as f: + f.write(content) + temp_path = f.name + + try: + file_config = DomainConfig.from_file(temp_path) + LEGAL_DOMAIN = DomainConfig.legal() + + # Test text + text = "charged u/s 302 IPC, PW testified" + + # Tokenize with both configs + tokens1, tags1 = domain_aware_tokenizer(text, file_config) + tokens2, tags2 = domain_aware_tokenizer(text, LEGAL_DOMAIN) + + # Should produce similar results (may differ slightly in pattern order) + assert "LEGAL" in tags1 + assert "LEGAL" in tags2 + finally: + os.unlink(temp_path) + + +class TestBundledConfigFiles: + """Tests that the bundled config files (loaded via the factory methods) + parse correctly and produce the documented metadata.""" + + def test_legal_factory_metadata(self): + config = DomainConfig.legal() + assert config.name == "legal" + assert config.category == "LEGAL" + assert config.label == "LER" + assert not config.case_sensitive + + def test_legal_factory_witness_patterns(self): + config = DomainConfig.legal() + # The bundled regex shielding accepts PW1 / PW 1 / PW-1. + assert config.matches("PW1") + assert config.matches("PW 1") + assert config.matches("PW-1") + + def test_medical_factory_metadata(self): + config = DomainConfig.medical() + assert config.name == "medical" + assert config.category == "MEDICAL" + assert config.label == "MER" + + def test_technical_factory_metadata(self): + config = DomainConfig.technical() + assert config.name == "technical" + assert config.category == "TECH" + assert config.label == "TER" + assert config.case_sensitive is True + + +if __name__ == "__main__": + pytest.main([__file__, "-v"]) From e5dc20051b58fb64e3cd27e2ca5949ea91f6cf6c Mon Sep 17 00:00:00 2001 From: Kavya Manohar Date: Mon, 27 Apr 2026 14:10:31 +0530 Subject: [PATCH 11/28] docs: write README Anchor the README to the Interspeech 2026 SCRIBE paper, document pip install scribe-eval with the [visualizer] and [charts] extras, add PyPI / Python / Apache-2.0 badges, separate core dependencies from optional extras, and add Citation and License sections. Co-Authored-By: Claude Opus 4.7 (1M context) --- README.md | 39 ++++++++++++++++++++++++++++++--------- 1 file changed, 30 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 0fe39c9..3945654 100644 --- a/README.md +++ b/README.md @@ -1,18 +1,26 @@ -# DictErrors — Dictation Error Analysis for Indic Languages +# SCRIBE — Diagnostic Evaluation for Indic & Domain-Specific ASR -[![Python Version](https://img.shields.io/badge/python-3.11%2B-blue.svg)](https://www.python.org/downloads/) -[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE) +[![PyPI](https://img.shields.io/pypi/v/scribe-eval.svg)](https://pypi.org/project/scribe-eval/) +[![Python](https://img.shields.io/pypi/pyversions/scribe-eval.svg)](https://pypi.org/project/scribe-eval/) +[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](LICENSE) -DictErrors is a specialized tool for analyzing ASR (Automatic Speech Recognition) transcription errors in Indic languages (Malayalam, Kannada). It provides fine-grained error metrics by categorizing tokens into base categories (WORD, NUMERAL, PUNCT) and optional domain-specific categories (LEGAL, MEDICAL, TECH, or custom). +`scribe-eval` is the open-source evaluation framework introduced in the SCRIBE +paper (*Diagnostic Evaluation and Rich Transcription Models for Indic ASR*, +under review at Interspeech 2026). It provides fine-grained error metrics for +ASR systems on Indic languages (Malayalam, Kannada, Hindi, ...) and on +domain-specific transcription (legal, medical, technical). -Domain-critical terminology is shielded from incorrect splitting and tracked separately — so a single misrecognized legal term doesn't inflate your general WER. +Token categories are decomposed into base classes (WORD, NUMERAL, PUNCT) and +optional domain classes (LEGAL, MEDICAL, TECH, or custom). Domain-critical +terminology is shielded from incorrect splitting and tracked separately — so a +single misrecognized legal term doesn't inflate your general WER. ## Installation ```bash -git clone https://github.com/adalat-ai-tech/dict-errors.git -cd dict-errors -uv sync && uv pip install -e . +pip install scribe-eval # core library +pip install 'scribe-eval[visualizer]' # adds Streamlit UI +pip install 'scribe-eval[charts]' # adds matplotlib charts ``` ## Quick Start @@ -76,7 +84,20 @@ See [docs/visualizer.md](docs/visualizer.md). ## Dependencies -- `levenshtein>=0.27.1`, `jiwer>=4.0.0`, `streamlit>=1.53.0`, `tabulate>=0.9.0` +Core: `jiwer>=4.0.0`, `levenshtein>=0.27.1`, `tabulate>=0.9.0` + +Optional extras: `matplotlib` (for `[charts]`), `streamlit` and `pandas` (for `[visualizer]`). + +## Citation + +The SCRIBE paper is currently under anonymous review at Interspeech 2026. A +BibTeX entry will be added here once the proceedings or arXiv preprint are +publicly available. Until then, please cite this repository directly via the +"Cite this repository" button on GitHub. + +## License + +Licensed under the [Apache License 2.0](LICENSE). ## Acknowledgements From 22afa2b3a2b2ae484586a123e3c0209479457200 Mon Sep 17 00:00:00 2001 From: Kavya Manohar Date: Mon, 27 Apr 2026 14:11:30 +0530 Subject: [PATCH 12/28] docs: tighten lead lines on batch and domain pages Co-Authored-By: Claude Opus 4.7 (1M context) --- docs/batch-processing.md | 2 +- docs/domain-configuration.md | 2 +- src/scribe/constants.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/batch-processing.md b/docs/batch-processing.md index 69cdd5e..b206208 100644 --- a/docs/batch-processing.md +++ b/docs/batch-processing.md @@ -1,6 +1,6 @@ # Batch Processing -DictErrors supports processing multiple samples from a JSONL file and aggregating metrics across datasets. +scribe-eval supports processing multiple samples from a JSONL file and aggregating metrics across datasets. ## Input Format diff --git a/docs/domain-configuration.md b/docs/domain-configuration.md index 6c9afcf..c42b674 100644 --- a/docs/domain-configuration.md +++ b/docs/domain-configuration.md @@ -1,6 +1,6 @@ # Domain Configuration -DictErrors supports flexible domain-aware tokenization via the `DomainConfig` class. Domain entities are extracted before general tokenization to prevent incorrect splitting (e.g., `u/s` stays as one token) and are tracked separately in error metrics. +scribe-eval supports flexible domain-aware tokenization via the `DomainConfig` class. Domain entities are extracted before general tokenization to prevent incorrect splitting (e.g., `u/s` stays as one token) and are tracked separately in error metrics. ## Factory Methods (Bundled Domains) diff --git a/src/scribe/constants.py b/src/scribe/constants.py index 258bc6e..1757e33 100644 --- a/src/scribe/constants.py +++ b/src/scribe/constants.py @@ -1,5 +1,5 @@ """ -Constants and shared definitions for the DictErrors package. +Constants and shared definitions for the scribe package. This module serves as the single source of truth for all package-wide constants including token categories, formatting parameters, and utility functions. From 1729660898888ac8eeb6590494c0a81202e79497 Mon Sep 17 00:00:00 2001 From: Kavya Manohar Date: Mon, 27 Apr 2026 14:41:38 +0530 Subject: [PATCH 13/28] test: cover format_error_counts_table, format_alignment_dict, sparse-category edge Co-Authored-By: Claude Opus 4.7 (1M context) --- tests/test_measure.py | 17 ++++++++++++++++ tests/test_reporting.py | 44 +++++++++++++++++++++++++++++++++++++++++ 2 files changed, 61 insertions(+) diff --git a/tests/test_measure.py b/tests/test_measure.py index 4462ba8..8e4c07e 100644 --- a/tests/test_measure.py +++ b/tests/test_measure.py @@ -90,3 +90,20 @@ def test_token_error_rates_reports_substitution_count(): aligned_hyp = [("a", "WORD"), ("x", "WORD"), ("c", "WORD")] report = token_error_rates(aligned_ref, aligned_hyp) assert report["WORD"]["substitutions"] == 1 + + +def test_category_with_zero_ref_tokens_has_zero_error_rate(): + """A category with no reference tokens reports error_rate=0 (no + division-by-zero) and combined_total reflects only populated + categories. + """ + aligned_ref = [("hello", "WORD"), ("world", "WORD")] + aligned_hyp = [("hello", "WORD"), ("world", "WORD")] + report = token_error_rates(aligned_ref, aligned_hyp) + assert report["PUNCT"]["total_ref"] == 0 + assert report["PUNCT"]["error_rate"] == 0.0 + assert report["NUMERAL"]["total_ref"] == 0 + assert report["NUMERAL"]["error_rate"] == 0.0 + assert report["WORD"]["combined_total"] == 2 + assert report["PUNCT"]["combined_total"] == 2 + assert report["NUMERAL"]["combined_total"] == 2 diff --git a/tests/test_reporting.py b/tests/test_reporting.py index 7a39a3d..bb1aade 100644 --- a/tests/test_reporting.py +++ b/tests/test_reporting.py @@ -6,8 +6,10 @@ compute_sample_errors, domain_aware_tokenizer, extract_error_rates, + format_alignment_dict, format_alignment_table, format_dataset_table, + format_error_counts_table, format_metrics_dict, text_error_rates, write_summary_to_file, @@ -120,3 +122,45 @@ def test_write_summary_to_file_creates_a_readable_file(tmp_path, legal_domain): content = target.read_text(encoding="utf-8") assert content.strip(), "Summary file is empty" assert "OVERALL" in content + + +def test_format_error_counts_table_emits_four_rows_per_category(legal_domain): + """For each category in the report, format_error_counts_table emits + four rows (Substitutions, Insertions, Deletions, Correct) with counts + that mirror the underlying report. + """ + report = _basic_report(legal_domain) + rows = format_error_counts_table(report, legal_domain) + assert isinstance(rows, list) + assert all(isinstance(row, dict) for row in rows) + by_cat: dict = {} + for row in rows: + by_cat.setdefault(row["Category"], {})[row["Type"]] = row["Count"] + assert by_cat, "Expected at least one category in the counts table" + for cat, types in by_cat.items(): + assert set(types) == {"Substitutions", "Insertions", "Deletions", "Correct"} + assert types["Substitutions"] == report[cat]["substitutions"] + assert types["Insertions"] == report[cat]["insertions"] + assert types["Deletions"] == report[cat]["deletions"] + assert types["Correct"] == report[cat]["correct"] + + +def test_format_alignment_dict_classifies_each_position(legal_domain): + """format_alignment_dict labels each aligned position with one of + correct / substitution / insertion / deletion / sandhi, and exposes + ref_text, hyp_text, and token_type fields. + """ + ref_toks, ref_tags = domain_aware_tokenizer("charged u/s 302", legal_domain) + hyp_toks, hyp_tags = domain_aware_tokenizer("charged us 302", legal_domain) + aligned_ref, aligned_hyp, _ = align_arrays(ref_toks, ref_tags, hyp_toks, hyp_tags) + rows = format_alignment_dict(aligned_ref, aligned_hyp) + assert rows, "Expected at least one alignment row" + valid_types = {"correct", "substitution", "insertion", "deletion", "sandhi"} + for row in rows: + assert row["error_type"] in valid_types + assert "ref_text" in row + assert "hyp_text" in row + assert "token_type" in row + # The u/s -> us substitution should land as a substitution row. + error_types = [row["error_type"] for row in rows] + assert "substitution" in error_types From c70b5416dcbf5bd76a15b2f4264bde7046629e58 Mon Sep 17 00:00:00 2001 From: Kavya Manohar Date: Mon, 27 Apr 2026 16:39:56 +0530 Subject: [PATCH 14/28] chore(examples): polish the example scripts - custom_domain_file.py: actually load DomainConfig.from_file() against a real config file (examples/sample_legal.txt) instead of falling back to the factory. - sample_legal.txt: small but realistic legal config with literals and regex patterns; demonstrates the file format end-to-end. - text_alignment.py: drop ~40 lines of commented-out alternate examples; keep the Malayalam Sandhi-aware default and pass-through CLI args. Co-Authored-By: Claude Opus 4.7 (1M context) --- examples/custom_domain_file.py | 18 +++++++------ examples/sample_legal.txt | 24 ++++++++++++++++++ examples/text_alignment.py | 46 +++------------------------------- 3 files changed, 38 insertions(+), 50 deletions(-) create mode 100644 examples/sample_legal.txt diff --git a/examples/custom_domain_file.py b/examples/custom_domain_file.py index b9d60bb..2f18989 100644 --- a/examples/custom_domain_file.py +++ b/examples/custom_domain_file.py @@ -8,8 +8,12 @@ 3. Inline custom domains """ +from pathlib import Path + from scribe import DomainConfig, text_error_rates +SAMPLE_LEGAL_FILE = Path(__file__).parent / "sample_legal.txt" + # Sample texts ref = "charged u/s 302 IPC on 22.05.2023 for Rs. 10,500" hyp = "charged under section 302 IPC on 22.05.2023 for rupees 10,500" @@ -38,16 +42,16 @@ print("APPROACH 2: Custom File-Based Config") print("=" * 80) -# Load from a user-supplied custom file using DomainConfig.from_file() -# Example: custom_domain = DomainConfig.from_file("path/to/my_legal_terms.txt") -# For now, demonstrate with the bundled legal config used as a custom variant -custom_domain = DomainConfig.legal() +# Load from a real config file shipped alongside this script. +# Open examples/sample_legal.txt to see the file format. +custom_domain = DomainConfig.from_file(str(SAMPLE_LEGAL_FILE)) report_custom = text_error_rates(ref, hyp, custom_domain) +print(f"\nLoaded from: {SAMPLE_LEGAL_FILE.name}") +print(f" {custom_domain.label}: {report_custom[custom_domain.category]['error_rate']:.2%}") print( - f"\nCustom Legal Domain (via factory) - {custom_domain.label}: {report_custom[custom_domain.category]['error_rate']:.2%}" + f" Configuration: name={custom_domain.name}, " + f"category={custom_domain.category}, label={custom_domain.label}" ) -print(f" Configuration: category={custom_domain.category}, label={custom_domain.label}") -print(" (To use a custom file: DomainConfig.from_file('path/to/my_legal_terms.txt'))") print("\n" + "=" * 80) print("APPROACH 3: Inline Custom Domain") diff --git a/examples/sample_legal.txt b/examples/sample_legal.txt new file mode 100644 index 0000000..db652be --- /dev/null +++ b/examples/sample_legal.txt @@ -0,0 +1,24 @@ +# Sample legal-domain config — demonstrates the file format used by +# DomainConfig.from_file(). See docs/domain-configuration.md for the +# full specification. + +# --- Metadata (all fields optional; sensible defaults apply) --- +@name: legal +@category: LEGAL +@label: LER +@case_sensitive: false + +# --- Literal terms (auto-escaped for regex safety) --- +u/s +r/w +sec. +art. +v. +vs. +IPC +CrPC + +# --- Regex patterns (prefix with REGEX:; used directly, no escaping) --- +REGEX: PW[-\s]*\d+ # prosecution-witness designations: PW1, PW 1, PW-1 +REGEX: CW[-\s]*\d+ # court-witness designations: CW1, CW 1, CW-1 +REGEX: Ext\.[-\s]*[A-Z]\d* # exhibit references: Ext.A, Ext. A1, Ext-B2 diff --git a/examples/text_alignment.py b/examples/text_alignment.py index 6e8ebf3..7be8ecf 100644 --- a/examples/text_alignment.py +++ b/examples/text_alignment.py @@ -46,56 +46,16 @@ def main(): # Using bundled legal domain. For custom domains, see custom_domain_file.py domain = DomainConfig.legal() - # Malayalam example + # Malayalam example — demonstrates Sandhi-aware alignment: + # text1 has "ആദ്യഗഡുവായി" (sandhi-merged), text2 has "ആദ്യ ഗഡുവായി" (split). text1 = "ആദ്യഗഡുവായി 180000 രൂപയായി നൽകിയത്." text2 = "ആദ്യ ഗഡുവായി 180000 രൂപയായി നൽകിയത്:" - print("\n=== MALAYALAM EXAMPLE 1 ===") + print("\n=== MALAYALAM EXAMPLE ===") t1, g1 = domain_aware_tokenizer(text1, domain) t2, g2 = domain_aware_tokenizer(text2, domain) aligned1, aligned2, score = align_arrays(t1, g1, t2, g2) print_alignment(text1, text2, aligned1, aligned2, score) - - # # Malayalam example - # text1 = "നിർദ്ദിഷ്ട ഭേദഗതി ഇരുസഭകളും 2011-ൽ തന്നെ പാസാക്കി." - # text2 = "നിർദ്ദിഷ്ട ട ഭേദഗതി ഇരുസഭകളും 201-ൽ തന്നെ പാസാക്കി." - # - # print("\n=== MALAYALAM EXAMPLE 2 ===") - # t1, g1 = domain_aware_tokenizer(text1) - # t2, g2 = domain_aware_tokenizer(text2) - # aligned1, aligned2, score = align_arrays(t1, g1, t2, g2) - # print_alignment(text1, text2, aligned1, aligned2, score) - - # # Kannada example - # text1 = "10 ವರ್ಷವಾದ ಮಕ್ಕಳಿಗೆ ಅದರ ಒಂದು ಸ್ವಲ್ಪ ಜ್ಞಾನ ಮನವರಿಕೆ ಒಂದು ಪ್ರಾರಂಭ ಆಗುತ್ತದೆ।" - # text2 = "ಹತ್ತು ವರ್ಷವಾದ ಮಕ್ಕಳಿಗೆ ಅದರ ಒಂದು ಸ್ವಲ್ಪ ಜ್ಞಾನ ಮನವರಿಕೆ ಒಂದು ಪ್ರಾರಂಭ ಆಗುತ್ತದೆ." - # - # print("\n=== KANNADA EXAMPLE ===") - # t1, g1 = domain_aware_tokenizer(text1) - # t2, g2 = domain_aware_tokenizer(text2) - # aligned1, aligned2, score = align_arrays(t1, g1, t2, g2) - # print_alignment(text1, text2, aligned1, aligned2, score) - - # # English example - # text1 = "The brown quick fox jumps over the lazy dogs." - # text2 = "The bron fox jumps over a lazy, dog" - # - # print("\n=== ENGLISH EXAMPLE ===") - # t1, g1 = domain_aware_tokenizer(text1) - # t2, g2 = domain_aware_tokenizer(text2) - # aligned1, aligned2, score = align_arrays(t1, g1, t2, g2) - # print_alignment(text1, text2, aligned1, aligned2, score) - - # # English example - # text1 = "The quick brown fox jumps over the lazy dog." - # text2 = "The bron fox jumps over a lazy dog" - # - # print("\n=== ENGLISH EXAMPLE ===") - # t1, g1 = domain_aware_tokenizer(text1) - # t2, g2 = domain_aware_tokenizer(text2) - # aligned1, aligned2, score = align_arrays(t1, g1, t2, g2) - # print_alignment(text1, text2, aligned1, aligned2, score) - return # Align the texts From d0e43645f21b5ccf0b04cb5328174bc8e5ffa55c Mon Sep 17 00:00:00 2001 From: Kavya Manohar Date: Mon, 27 Apr 2026 16:45:13 +0530 Subject: [PATCH 15/28] test(align): add multilingual smoke cases (Malayalam / Kannada / English) examples/text_alignment.py now runs all four demo pairs by default (sandhi merge/split, token insertion + numeral truncation, spelled-out Kannada numeral, English reorder + punctuation). The same pairs are parametrized in tests/test_align.py to guard against regressions on real-world Indic and English inputs. Co-Authored-By: Claude Opus 4.7 (1M context) --- examples/text_alignment.py | 72 ++++++++++++++++++++++---------------- tests/test_align.py | 46 +++++++++++++++++++++++- 2 files changed, 87 insertions(+), 31 deletions(-) diff --git a/examples/text_alignment.py b/examples/text_alignment.py index 7be8ecf..b564a7e 100644 --- a/examples/text_alignment.py +++ b/examples/text_alignment.py @@ -10,13 +10,40 @@ Usage: python text_alignment.py "First text to align" "Second text to align" -If no arguments are provided, the script uses default example texts. +If no arguments are provided, the script runs a small multilingual demo +covering Malayalam, Kannada, and English with a mix of error patterns +(sandhi, numeral truncation, spelled-out numerals, word reorder). """ import sys from scribe import DomainConfig, align_arrays, domain_aware_tokenizer +# Each entry: (label, reference, hypothesis) +# Designed to surface a specific alignment behaviour. +DEFAULT_EXAMPLES = [ + ( + "MALAYALAM — sandhi merge / split", + "ആദ്യഗഡുവായി 180000 രൂപയായി നൽകിയത്.", + "ആദ്യ ഗഡുവായി 180000 രൂപയായി നൽകിയത്:", + ), + ( + "MALAYALAM — token insertion + numeral truncation", + "നിർദ്ദിഷ്ട ഭേദഗതി ഇരുസഭകളും 2011-ൽ തന്നെ പാസാക്കി.", + "നിർദ്ദിഷ്ട ട ഭേദഗതി ഇരുസഭകളും 201-ൽ തന്നെ പാസാക്കി.", + ), + ( + "KANNADA — numeral spelled out", + "10 ವರ್ಷವಾದ ಮಕ್ಕಳಿಗೆ ಅದರ ಒಂದು ಸ್ವಲ್ಪ ಜ್ಞಾನ ಮನವರಿಕೆ ಒಂದು ಪ್ರಾರಂಭ ಆಗುತ್ತದೆ।", + "ಹತ್ತು ವರ್ಷವಾದ ಮಕ್ಕಳಿಗೆ ಅದರ ಒಂದು ಸ್ವಲ್ಪ ಜ್ಞಾನ ಮನವರಿಕೆ ಒಂದು ಪ್ರಾರಂಭ ಆಗುತ್ತದೆ.", + ), + ( + "ENGLISH — word reorder + punctuation", + "The brown quick fox jumps over the lazy dogs.", + "The bron fox jumps over a lazy, dog", + ), +] + def print_alignment(text1, text2, aligned1, aligned2, score): """Pretty print the alignment results.""" @@ -25,7 +52,6 @@ def print_alignment(text1, text2, aligned1, aligned2, score): print(f"Text 2: {text2}") print(f"\nAlignment (score: {score}):") - # Extract text from (text, tag) tuples text1_tokens = [t[0] for t in aligned1] text2_tokens = [t[0] for t in aligned2] @@ -34,39 +60,25 @@ def print_alignment(text1, text2, aligned1, aligned2, score): print("\n") -def main(): - # Use command line arguments if provided, otherwise use default examples - if len(sys.argv) >= 3: - text1 = sys.argv[1] - text2 = sys.argv[2] - else: - # Default examples in multiple languages - print("No text arguments provided. Using default examples...") - - # Using bundled legal domain. For custom domains, see custom_domain_file.py - domain = DomainConfig.legal() - - # Malayalam example — demonstrates Sandhi-aware alignment: - # text1 has "ആദ്യഗഡുവായി" (sandhi-merged), text2 has "ആദ്യ ഗഡുവായി" (split). - text1 = "ആദ്യഗഡുവായി 180000 രൂപയായി നൽകിയത്." - text2 = "ആദ്യ ഗഡുവായി 180000 രൂപയായി നൽകിയത്:" - - print("\n=== MALAYALAM EXAMPLE ===") - t1, g1 = domain_aware_tokenizer(text1, domain) - t2, g2 = domain_aware_tokenizer(text2, domain) - aligned1, aligned2, score = align_arrays(t1, g1, t2, g2) - print_alignment(text1, text2, aligned1, aligned2, score) - return - - # Align the texts - domain = DomainConfig.legal() +def run_example(label, text1, text2, domain): + print(f"\n=== {label} ===") t1, g1 = domain_aware_tokenizer(text1, domain) t2, g2 = domain_aware_tokenizer(text2, domain) aligned1, aligned2, score = align_arrays(t1, g1, t2, g2) - - # Print the alignment print_alignment(text1, text2, aligned1, aligned2, score) +def main(): + domain = DomainConfig.legal() + + if len(sys.argv) >= 3: + run_example("CUSTOM", sys.argv[1], sys.argv[2], domain) + return + + print("No text arguments provided. Running multilingual demo...") + for label, ref, hyp in DEFAULT_EXAMPLES: + run_example(label, ref, hyp, domain) + + if __name__ == "__main__": main() diff --git a/tests/test_align.py b/tests/test_align.py index 8f3887b..cec5723 100644 --- a/tests/test_align.py +++ b/tests/test_align.py @@ -1,6 +1,10 @@ """Tests for the sandhi-aware alignment engine.""" -from scribe import align_arrays, domain_aware_tokenizer +import math + +import pytest + +from scribe import DomainConfig, align_arrays, domain_aware_tokenizer def _tok(text, domain=None): @@ -77,3 +81,43 @@ def test_sandhi_merge_reduces_alignment_count(): # picks up at least one slot containing the merged word. hyp_real = [t for t, tag in aligned_hyp if tag != "GAP"] assert any("ഇന്നല്ലെങ്കിൽ" in tok for tok in hyp_real) + + +# Multilingual smoke cases — mirror examples/text_alignment.py DEFAULT_EXAMPLES. +# These guard against regressions in alignment over real-world Indic and +# English inputs with mixed error patterns. +MULTILINGUAL_PAIRS = [ + pytest.param( + "ആദ്യഗഡുവായി 180000 രൂപയായി നൽകിയത്.", + "ആദ്യ ഗഡുവായി 180000 രൂപയായി നൽകിയത്:", + id="malayalam-sandhi", + ), + pytest.param( + "നിർദ്ദിഷ്ട ഭേദഗതി ഇരുസഭകളും 2011-ൽ തന്നെ പാസാക്കി.", + "നിർദ്ദിഷ്ട ട ഭേദഗതി ഇരുസഭകളും 201-ൽ തന്നെ പാസാക്കി.", + id="malayalam-insertion-and-numeral-truncation", + ), + pytest.param( + "10 ವರ್ಷವಾದ ಮಕ್ಕಳಿಗೆ ಅದರ ಒಂದು ಸ್ವಲ್ಪ ಜ್ಞಾನ ಮನವರಿಕೆ ಒಂದು ಪ್ರಾರಂಭ ಆಗುತ್ತದೆ।", + "ಹತ್ತು ವರ್ಷವಾದ ಮಕ್ಕಳಿಗೆ ಅದರ ಒಂದು ಸ್ವಲ್ಪ ಜ್ಞಾನ ಮನವರಿಕೆ ಒಂದು ಪ್ರಾರಂಭ ಆಗುತ್ತದೆ.", + id="kannada-numeral-spelled-out", + ), + pytest.param( + "The brown quick fox jumps over the lazy dogs.", + "The bron fox jumps over a lazy, dog", + id="english-reorder-and-punct", + ), +] + + +@pytest.mark.parametrize("ref,hyp", MULTILINGUAL_PAIRS) +def test_alignment_runs_cleanly_on_multilingual_pairs(ref, hyp): + """For each demo pair, alignment must produce two equal-length lists, + a finite numeric score, and at least one position of either side.""" + domain = DomainConfig.legal() + ref_toks, ref_tags = _tok(ref, domain) + hyp_toks, hyp_tags = _tok(hyp, domain) + aligned_ref, aligned_hyp, score = align_arrays(ref_toks, ref_tags, hyp_toks, hyp_tags) + assert len(aligned_ref) == len(aligned_hyp) + assert len(aligned_ref) > 0 + assert isinstance(score, float) and math.isfinite(score) From df2ea40e8da68ed80fbf6a39eed4c20e043c5439 Mon Sep 17 00:00:00 2001 From: Kavya Manohar Date: Mon, 27 Apr 2026 17:03:36 +0530 Subject: [PATCH 16/28] docs(examples): index examples/ via README and align error_report.py with the analysis CLI - examples/README.md: index of the four runnable scripts and bundled data, with one-line descriptions and the public API each exercises. - examples/error_report.py: rewrite as a thin single-sample analog of batch_evaluate.py --analysis. Uses compute_error_summary + format_contribution_table so the per-category breakdown matches the batch CLI exactly. Reuses print_alignment from text_alignment.py for the token-by-token alignment view. - README.md: add a brief Examples section pointing at examples/README.md and simplify the batch_evaluate.py invocation. Co-Authored-By: Claude Opus 4.7 (1M context) --- README.md | 9 ++- examples/README.md | 43 +++++++++++++ examples/error_report.py | 129 ++++++++++++--------------------------- 3 files changed, 88 insertions(+), 93 deletions(-) create mode 100644 examples/README.md diff --git a/README.md b/README.md index 3945654..6c9e9d9 100644 --- a/README.md +++ b/README.md @@ -64,11 +64,16 @@ Factory methods for bundled domains: `DomainConfig.legal()`, `DomainConfig.medic File-based and custom inline configs are also supported. See [docs/domain-configuration.md](docs/domain-configuration.md). +## Examples + +Runnable scripts under [`examples/`](examples/) demonstrate alignment, +single-sample reports, domain-config patterns, and full batch evaluation. +See [`examples/README.md`](examples/README.md) for the full index. + ## Batch Processing ```bash -cd examples/ -uv run batch_evaluate.py --input predictions.jsonl --domain-config config/legal_terms.txt --analysis --chart +uv run examples/batch_evaluate.py --analysis --chart ``` See [docs/batch-processing.md](docs/batch-processing.md) for the Python API, CLI arguments, and output schema. diff --git a/examples/README.md b/examples/README.md new file mode 100644 index 0000000..e9e873d --- /dev/null +++ b/examples/README.md @@ -0,0 +1,43 @@ +# scribe-eval examples + +Each script is runnable with `uv run examples/