Datasets:
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---
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](https://huggingface.co/datasets/NousResearch/dolma-v1_7-30B) as a [Nanotron](https://github.com/huggingface/nanotron) dataset split into 10 GB chunks.
To recombine,
```shell
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
```python
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))
``` |