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README.md
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---
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license: odc-by
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task_categories:
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- text-generation
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language:
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- en
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tags:
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- language-modeling
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- casual-lm
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- llm
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pretty_name: Dolma
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size_categories:
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- 100B<n<1T
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---
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Tokenized (Llama 2) 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.
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To download:
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```shell
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huggingface-cli download --repo-type dataset --local-dir dolma-v1_7-30B-tokenized-llama2-nanoset --local-dir-use-symlinks False NousResearch/dolma-v1_7-30B-tokenized-llama2-nanoset
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```
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To recombine:
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```shell
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cat dolma-v1_7-30B-tokenized-llama2-nanoset_input_ids.npy.* > dolma-v1_7-30B-tokenized-llama2-nanoset_input_ids.npy
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rm -rf dolma-v1_7-305B-tokenized-llama3-nanoset
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```
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Can also be used directly with numpy, for example
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```python
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import numpy as np
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dataset_buffer_mmap = np.memmap("dolma-v1_7-30B-tokenized-llama2-nanoset_input_ids.npy",
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mode="r", order="C", dtype=np.int32)
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dataset_buffer = memoryview(dataset_buffer_mmap)
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dataset_number_of_tokens = int(len(dataset_buffer))
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```
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