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metadata
license: odc-by
task_categories:
  - text-generation
language:
  - en
tags:
  - language-modeling
  - casual-lm
  - llm
pretty_name: Dolma
size_categories:
  - 100B<n<1T

Tokenized (Llama 3) verison of NousResearch/dolma-v1_7-30B as a Nanotron dataset split into 10 GB chunks.

To recombine,

cat dolma-v1_7-30B-nanoset-l3_input_ids.npy.* > dolma-v1_7-30B-nanoset-l3_input_ids.npy

Can also be used directly with numpy, for example

import numpy as np

dataset_buffer_mmap = np.memmap("dolma-v1_7-30B-nanoset-l3_input_ids.npy", mode="r", order="C", dtype=np.int32)
dataset_buffer = memoryview(dataset_buffer_mmap)
dataset_number_of_tokens = int(len(dataset_buffer))