Simplify to "Corpus test" with tests.corpus package name

Co-authored-by: bact <128572+bact@users.noreply.github.com>

Author: Copilot

.github/workflows/corpus-data.yml .github/workflows/corpus.yml.github/workflows/corpus-data.yml renamed to .github/workflows/corpus.yml

@@ -1,21 +1,21 @@
 # SPDX-FileCopyrightText: 2016-2026 PyThaiNLP Project
 # SPDX-License-Identifier: Apache-2.0
 
-name: Corpus Data Test
+name: Corpus Test
 
 on:
   push:
     paths:
-      - ".github/workflows/corpus-data.yml"
+      - ".github/workflows/corpus.yml"
       - "pythainlp/corpus/**"
-      - "tests/corpus_data/**"
+      - "tests/corpus/**"
   pull_request:
     branches:
       - dev
     paths:
-      - ".github/workflows/corpus-data.yml"
+      - ".github/workflows/corpus.yml"
       - "pythainlp/corpus/**"
-      - "tests/corpus_data/**"
+      - "tests/corpus/**"
 
 # Avoid duplicate runs for the same source branch and repository
 concurrency:
@@ -26,7 +26,7 @@ concurrency:
   cancel-in-progress: true
 
 jobs:
-  corpus-data:
+  corpus:
     runs-on: ubuntu-latest
     permissions:
       contents: read
@@ -50,16 +50,16 @@ jobs:
         env:
           PYTHONIOENCODING: utf-8
         run: |
-          python -m unittest discover -s tests/corpus_data -p "test_catalog*.py" -v
+          python -m unittest discover -s tests/corpus -p "test_catalog*.py" -v
 
       - name: Test built-in corpus files
         env:
           PYTHONIOENCODING: utf-8
         run: |
-          python -m unittest discover -s tests/corpus_data -p "test_builtin_*.py" -v
+          python -m unittest discover -s tests/corpus -p "test_builtin_*.py" -v
 
       - name: Test downloadable corpus files
         env:
           PYTHONIOENCODING: utf-8
         run: |
-          python -m unittest discover -s tests/corpus_data -p "test_downloadable_*.py" -v
+          python -m unittest discover -s tests/corpus -p "test_downloadable_*.py" -v

tests/README.md

@@ -169,20 +169,20 @@ for real-world usage:
 - Multi-engine robustness testing across all core tokenization engines
 - Very long strings that can cause performance issues (issue #893)
 
-## Corpus data tests (corpus_data/)
+## Corpus test (corpus/)
 
 A separate test suite that verifies the integrity, format, parseability, and catalog
-functionality of corpus data in PyThaiNLP. These tests are separate from regular unit tests
+functionality of corpus in PyThaiNLP. These tests are separate from regular unit tests
 because they test actual file loading and parsing (not mocked), downloadable corpus tests
 require network access, and they verify corpus catalog operations.
 
-For detailed information about corpus data tests, see:
-[tests/corpus_data/README.md](corpus_data/README.md)
+For detailed information about corpus test, see:
+[tests/corpus/README.md](corpus/README.md)
 
-The corpus data tests are triggered automatically via GitHub Actions
-when changes are made to `pythainlp/corpus/**` or `tests/corpus_data/**`.
+The corpus test is triggered automatically via GitHub Actions
+when changes are made to `pythainlp/corpus/**` or `tests/corpus/**`.
 
-**Run corpus data tests:**
+**Run corpus test:**
 ```shell
-python -m unittest tests.corpus_data
+python -m unittest tests.corpus
 ```

tests/corpus_data/README.md tests/corpus/README.mdtests/corpus_data/README.md renamed to tests/corpus/README.md

@@ -1,15 +1,15 @@
-# Corpus data tests
+# Corpus test
 
 This directory contains tests that verify the integrity, format,
-parseability, and catalog functionality of corpus data in PyThaiNLP.
+parseability, and catalog functionality of corpus in PyThaiNLP.
 
 ## Purpose
 
 These tests are separate from regular unit tests because:
 
 1. They test actual file loading and parsing (not mocked)
 2. Downloadable corpus tests require network access and can be slow
-3. They verify corpus data format and structure
+3. They verify corpus format and structure
 4. They test corpus catalog download and query functionality
 5. They should only run when corpus files or corpus code changes
 
@@ -46,35 +46,35 @@ size of the downloads.
 
 ## Running Tests
 
-Run all corpus data tests:
+Run all corpus tests:
 
 ```bash
-python -m unittest discover -s tests/corpus_data -v
+python -m unittest discover -s tests/corpus -v
 ```
 
 Run only catalog tests:
 
 ```bash
-python -m unittest tests.corpus_data.test_catalog -v
+python -m unittest tests.corpus.test_catalog -v
 ```
 
 Run only built-in corpus tests:
 
 ```bash
-python -m unittest tests.corpus_data.test_builtin_corpus -v
+python -m unittest tests.corpus.test_builtin_corpus -v
 ```
 
 Run only downloadable corpus tests:
 
 ```bash
-python -m unittest tests.corpus_data.test_downloadable_corpus -v
+python -m unittest tests.corpus.test_downloadable_corpus -v
 ```
 
 ## CI Integration
 
-The corpus data tests run automatically via GitHub Actions workflow (`.github/workflows/corpus-data.yml`) when:
+The corpus test runs automatically via GitHub Actions workflow (`.github/workflows/corpus.yml`) when:
 - Changes are made to `pythainlp/corpus/**`
-- Changes are made to `tests/corpus_data/**`
+- Changes are made to `tests/corpus/**`
 - The workflow file itself is modified
 
 ## What is Tested
@@ -100,6 +100,6 @@ When adding a new corpus file or function to `pythainlp.corpus`:
 ## Relationship to Unit Tests
 
 - **Unit tests** (`tests/core/test_corpus.py`): Use mocks for speed, test code logic
-- **Corpus data tests** (this directory): Use real data, test file integrity and catalog
+- **Corpus test** (this directory): Use real data, test file integrity and catalog
 
 Both test suites are important and complementary.

tests/corpus_data/__init__.py tests/corpus/__init__.pytests/corpus_data/__init__.py renamed to tests/corpus/__init__.py

@@ -2,10 +2,10 @@
 # SPDX-FileType: SOURCE
 # SPDX-License-Identifier: Apache-2.0
 """
-Corpus data tests.
+Corpus test.
 
 These tests verify the integrity, format, parseability, and catalog
-functionality of corpus data in PyThaiNLP. They are separate from
+functionality of corpus in PyThaiNLP. They are separate from
 regular unit tests to avoid slowing down development test cycles
 with large file downloads and network access.
 """