# all-wikis-mix

FineWeb-style Parquet shards created by merging all the already-built monolingual Wikipedia datasets into a **single dataset**.

## Why this exists

Training pipelines that round-robin by shard can “loop” on tiny datasets (repeating the same few shards). A single merged dataset has a healthier shard count and makes mixing more stable.

## 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`

## Loading

```python
from datasets import load_dataset

ds = load_dataset("JayJayThrowThrow/all-wikis-mix", split="train")
print(ds.column_names)  # ["text"]
```