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Dataset Summary
This is the tokenized Fineweb-Edu (10BT subset) using SmolLM2-135M tokenzier. Data is divided into shards (.npy files) for easier to load with PyTorch IterableDataset.
Each .npy file can be loaded with numpy.load('file_name.npy').
| Split | # Documents | # Shards | # Tokens |
|---|---|---|---|
train |
9,575,380 | 101 | 10,004,991,326 (10.0B) |
val |
96,721 | 1 | 101,807,253 (0.1B) |
| Total | 9,672,101 | 102 | 10,106,798,579 (10.1B) |
Example of usage
uvx hf download minhnguyent546/Fineweb-Edu-10BT \
--repo-type dataset \
--local-dir Fineweb-Edu-10BT
import numpy as np
tokens = np.load("Fineweb-Edu-10BT/train/fineweb_edu_10bt_train_000000-of-000101.npy")
print(tokens.shape)
# (100000000,)
print(tokens.dtype)
# uint16
print(tokens[:20])
# [ 0 29 9230 28 451 314 253 1123 655 288 1783 4534 5372 5047
# 281 260 2118 30 1206 654]
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