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:
from datasets import load_dataset
ds = load_dataset("JayJayThrowThrow/commonwealth-wiki-mix", split="train")
print(ds.column_names) # ["text"]