Upload kenyan-code-switch-1m release with full metadata and dataset card

README.md

@@ -1,58 +1,58 @@
----
-language:
-- sw
-- en
-- swh
-license: apache-2.0
-tags:
-- kenya
-- code-switching
-- sheng
-- swahili
-- pretraining
-- 1m-corpus
-- language-modeling
-size_categories:
-- 1M<n<10M
----
-
-# 🇰🇪 Kenyan Code-Switching Pretraining Corpus (1,000,000 Sentences / 16.99M Words)
-
-The largest standardized, rule-audited monolingual pretraining corpus for Kenyan Code-Switching (Sheng / Technical Swahili-English Blend).
-
-## Corpus Statistics
-
-- **Total Sentences:** 1,000,000 sentences
-- **Total Word Tokens:** 16,990,653 words
-- **Average Sentence Length:** 16.99 words (multi-clause explanatory syntax)
-- **Linguistic Audit Score:** 100.0000% compliance across all 20 Master Blueprint rules
-- **Raw Text Size:** 113.3 MB (`.txt`)
-- **Metadata JSONL Size:** 203.6 MB (`.jsonl`)
-
-## Domains Represented
-
-1. **Engineering & Infrastructure:** Structural analysis, shear stress, electrical transformers, hydraulics, concrete rebar.
-2. **Finance & FinTech:** M-Pesa, SACCOs, Central Bank of Kenya inflation, collateral liquidation, loan underwriting.
-3. **Tech & Software Systems:** Microservices, Redis caching, Kubernetes deployment, API gateway authentication, CI/CD pipelines.
-4. **Medicine & Healthcare Sciences:** Emergency triage, acute respiratory intubation, targeted antibiotics, pathology.
-5. **Politics & Constitutional Governance:** Katiba 2010 public participation, bicameral parliament, gubernatorial impeachment, fiscal policy.
-
-## Usage
-
-```python
-from datasets import load_dataset
-
-dataset = load_dataset("text", data_files={"train": "kenyan_code_switch_corpus_1m.txt"})
-```
-
-## Citation
-
-```bibtex
-@dataset{kenyan_code_switch_1m_2026,
-  title={Kenyan Code-Switching 1M Pretraining Corpus},
-  author={Maxwell Ng'ang'a},
-  year={2026},
-  publisher={Hugging Face},
-  url={https://huggingface.co/datasets/Maxyelow/kenyan-code-switch-1m}
-}
-```
+---
+language:
+- sw
+- en
+- swh
+license: apache-2.0
+tags:
+- kenya
+- code-switching
+- sheng
+- swahili
+- pretraining
+- 1m-corpus
+- language-modeling
+size_categories:
+- 1M<n<10M
+---
+
+# 🇰🇪 Kenyan Code-Switching Pretraining Corpus (1,000,000 Sentences / 16.99M Words)
+
+The largest standardized, rule-audited monolingual pretraining corpus for Kenyan Code-Switching (Sheng / Technical Swahili-English Blend).
+
+## Corpus Statistics
+
+- **Total Sentences:** 1,000,000 sentences
+- **Total Word Tokens:** 16,990,653 words
+- **Average Sentence Length:** 16.99 words (multi-clause explanatory syntax)
+- **Linguistic Audit Score:** 100.0000% compliance across all 20 Master Blueprint rules
+- **Raw Text Size:** 113.3 MB (`.txt`)
+- **Metadata JSONL Size:** 203.6 MB (`.jsonl`)
+
+## Domains Represented
+
+1. **Engineering & Infrastructure:** Structural analysis, shear stress, electrical transformers, hydraulics, concrete rebar.
+2. **Finance & FinTech:** M-Pesa, SACCOs, Central Bank of Kenya inflation, collateral liquidation, loan underwriting.
+3. **Tech & Software Systems:** Microservices, Redis caching, Kubernetes deployment, API gateway authentication, CI/CD pipelines.
+4. **Medicine & Healthcare Sciences:** Emergency triage, acute respiratory intubation, targeted antibiotics, pathology.
+5. **Politics & Constitutional Governance:** Katiba 2010 public participation, bicameral parliament, gubernatorial impeachment, fiscal policy.
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("text", data_files={"train": "kenyan_code_switch_corpus_1m.txt"})
+```
+
+## Citation
+
+```bibtex
+@dataset{kenyan_code_switch_1m_2026,
+  title={Kenyan Code-Switching 1M Pretraining Corpus},
+  author={Maxwell Ng'ang'a},
+  year={2026},
+  publisher={Hugging Face},
+  url={https://huggingface.co/datasets/Maxyelow/kenyan-code-switch-1m}
+}
+```