Merge pull request #1292 from PyThaiNLP/copilot/remove-clutter-from-repo

Restore tokenization-benchmark.md and fix heading casing

Author: bact

docs/api/morpheme.rst

@@ -3,7 +3,7 @@
 pythainlp.morpheme
 ==================
 
-The `pythainlp.benchmarks` module is collect functions for morpheme analysis, word formation and more for Thai language.
+The `pythainlp.morpheme` module is collect functions for morpheme analysis, word formation and more for Thai language.
 
 .. autofunction:: nighit
 

notebooks/README.md

@@ -0,0 +1,55 @@
+---
+SPDX-FileCopyrightText: 2016-2026 PyThaiNLP Project
+SPDX-FileType: DOCUMENTATION
+SPDX-License-Identifier: CC0-1.0
+---
+
+# PyThaiNLP development notebooks
+
+This directory contains Jupyter notebooks used for **development and testing purposes**. These notebooks are **not** intended for end-users and are primarily used by developers to:
+
+- Test new features and models
+- Develop ONNX model conversions
+- Experiment with algorithms
+- Debug and validate module functionality
+
+## Notebooks overview
+
+### Testing notebooks
+
+These notebooks test specific module functionality:
+
+- `test_aksonhan.ipynb` - Testing ancient Thai script conversion
+- `test_chat.ipynb` - Testing chatbot functionality with WangChanGLM
+- `test_el.ipynb` - Testing entity linking
+- `test_gzip_classify.ipynb` - Testing GZIP-based classification
+- `test_tcc.ipynb` - Testing Thai Character Cluster tokenization
+- `test_wangchanglm.ipynb` - Testing WangChanGLM text generation
+- `test_wsd.ipynb` - Testing word sense disambiguation
+
+### Development tools
+
+These notebooks are used for building and preparing models:
+
+- `convert_thai2rom_to_onnx.ipynb` - Convert Thai romanization models to ONNX format
+- `clean_dict.ipynb` - Dictionary cleaning and preprocessing
+- `create_words.ipynb` - Word list creation and curation
+- `word_detokenize.ipynb` - Testing word detokenization
+
+## For end-users
+
+If you're looking for examples and tutorials on how to use PyThaiNLP, please visit:
+
+- **Official Tutorials**: <https://pythainlp.org/tutorials>
+- **Get Started Guide**: <https://pythainlp.org/tutorials/notebooks/pythainlp_get_started.html>
+- **Documentation**: <https://pythainlp.org/docs>
+- **Example Scripts**: See the `/examples` directory in the repository root
+
+## Note
+
+These notebooks may:
+
+- Require additional dependencies not installed by default
+- Use experimental or development-only features
+- Contain incomplete or work-in-progress code
+- Not be regularly maintained or updated