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README.md

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+# commonwealth-wiki-mix
+
+FineWeb-style Parquet shards (LLM-training friendly) created by merging multiple Wikipedia language datasets into a single dataset to reduce looping during training.
+
+## What’s inside
+
+- **Format**: `nanochat-parquet-v1`
+- **Layout**: `shard_*.parquet` + `metadata.json`
+- **Text column**: `text`
+- **Parquet settings**: zstd (level 3), `row_group_size=1024`, `use_dictionary=False`, `write_statistics=False`
+
+## Sources included
+
+This mix was built from the already-exported wiki datasets in `~/.cache/nanochat/datasets/monolingual/`:
+
+- South Asia: Urdu, Hindi, Bengali, Tamil, Telugu, Malayalam, Marathi, Kannada, Gujarati, Punjabi, Nepali, Sinhala
+- Southeast Asia: Malay
+- Africa: Swahili, Yoruba, Afrikaans, Zulu
+
+## Loading
+
+In Python, you can load shards directly with PyArrow / Pandas. For HuggingFace `datasets`, Parquet loading works out of the box:
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("JayJayThrowThrow/commonwealth-wiki-mix", split="train")
+print(ds.column_names)  # ["text"]
+```
+
+