shards
list | version
int64 |
|---|---|
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] | 2 |
Mosaic format for extra dataset to train Malaysian LLM
This repository is to store dataset shards using mosaic format.
- prepared at https://github.com/malaysia-ai/dedup-text-dataset/blob/main/pretrain-llm/combine-madlad-400-ms.ipynb
- using tokenizer https://huggingface.co/malaysia-ai/bpe-tokenizer
- 4096 context length.
how-to
- git clone,
git lfs clone https://huggingface.co/datasets/malaysia-ai/mosaic-madlad-400-ms
- load it,
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-madlad-400-ms')
len(dataset)
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