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Datasets:
emozilla
/
dolma-v1_7-30B-tokenized-llama2-nanoset

Tasks:
Text Generation
Languages:
English
Size:
100B<n<1T
Tags:
language-modeling
casual-lm
llm
License:
Dataset card Files Community
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Update README.md

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README.md CHANGED
@@ -22,7 +22,7 @@ huggingface-cli download --repo-type dataset --local-dir dolma-v1_7-30B-tokenize
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  To recombine:
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  ```shell
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- cat dolma-v1_7-30B-tokenized-llama2-nanoset/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_7-30B-tokenized-llama2-nanoset
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  ```
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@@ -30,7 +30,7 @@ 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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  To recombine:
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  ```shell
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+ cat dolma-v1_7-30B-tokenized-llama2-nanoset/dolma-v1_7-30B-tokenized-llama2-nanoset_input_ids.npy.* > dolma-v1_7-30B-tokenized-llama2-nanoset.npy
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  rm -rf dolma-v1_7-30B-tokenized-llama2-nanoset
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  ```
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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.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))