---
language:
- ms
---

# Mosaic format for filtered dedup text dataset to train Malaysian LLM

This repository is to store dataset shards using mosaic format.

1. prepared at https://github.com/malaysia-ai/dedup-text-dataset/blob/main/pretrain-llm/combine-dedup-text-dataset-filtered-4096.ipynb
2. using tokenizer https://huggingface.co/malaysia-ai/bpe-tokenizer
3. 4096 context length.

## how-to

1. git clone,

```bash
git lfs clone https://huggingface.co/datasets/malaysia-ai/mosaic-dedup-text-dataset
```

2. load it,

```python
from streaming import LocalDataset
import numpy as np
from streaming.base.format.mds.encodings import Encoding, _encodings

class UInt16(Encoding):
    def encode(self, obj) -> bytes:
        return obj.tobytes()

    def decode(self, data: bytes):
        return np.frombuffer(data, np.uint16)

_encodings['uint16'] = UInt16

dataset = LocalDataset('mosaic-dedup-text-dataset-filtered')
len(dataset)
```