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Datasets:
NousResearch
/
dolma-v1_7-3B-tokenized-llama3-nanoset

Tasks:
Text Generation
Languages:
English
Size:
100B<n<1T
Tags:
language-modeling
casual-lm
llm
License:
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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    DataFilesNotFoundError
Message:      No (supported) data files found in NousResearch/dolma-v1_7-3B-tokenized-llama3-nanoset
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 73, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1904, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1885, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1270, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 597, in infer_module_for_data_files
                  raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else ""))
              datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in NousResearch/dolma-v1_7-3B-tokenized-llama3-nanoset

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Tokenized (Llama 3) verison of NousResearch/dolma-v1_7-3B as a Nanotron dataset.

Can also be used directly with numpy, for example

import numpy as np

dataset_buffer_mmap = np.memmap("dolma-v1_7-3B-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))
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