Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
added: string
attributes: struct<paloma_paragraphs: list<item: list<item: int64>>>
  child 0, paloma_paragraphs: list<item: list<item: int64>>
      child 0, item: list<item: int64>
          child 0, item: int64
created: string
doc: struct<arxiv_id: string, language: string, timestamp: timestamp[s], url: string, yymm: string>
  child 0, arxiv_id: string
  child 1, language: string
  child 2, timestamp: timestamp[s]
  child 3, url: string
  child 4, yymm: string
id: string
metadata: struct<provenance: string>
  child 0, provenance: string
text: string
to
{'id': Value('string'), 'text': Value('string'), 'added': Value('string'), 'created': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2431, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1984, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2192, in cast_table_to_features
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              added: string
              attributes: struct<paloma_paragraphs: list<item: list<item: int64>>>
                child 0, paloma_paragraphs: list<item: list<item: int64>>
                    child 0, item: list<item: int64>
                        child 0, item: int64
              created: string
              doc: struct<arxiv_id: string, language: string, timestamp: timestamp[s], url: string, yymm: string>
                child 0, arxiv_id: string
                child 1, language: string
                child 2, timestamp: timestamp[s]
                child 3, url: string
                child 4, yymm: string
              id: string
              metadata: struct<provenance: string>
                child 0, provenance: string
              text: string
              to
              {'id': Value('string'), 'text': Value('string'), 'added': Value('string'), 'created': Value('string')}
              because column names don't match

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OLMoE Mix (September 2024)

OLMoE Mix Logo.

The following data mix was used to train OLMoE-1B-7B, a Mixture-of-Experts LLM with 1B active and 7B total parameters released in September 2024.

The base version of OLMoE-1B-7B can be found at this page, the SFT of OLMoE-1B-7B is available here, and a version combining SFT and DPO is available following this link.

Statistics

Subset Tokens Words Bytes Docs
DCLM Baseline 1.0 3.86 T 3.38 T 16.7 T 2.95 B
Starcoder 101 B 63.9 B 325 B 78.7 M
peS2o
(Dolma)
57.2 B 51.3 B 268 B 38.8 M
Arxiv
(RedPajama v1
via Proof Pile II)
21.1 B 23.5 B 88.8 B 1.55 M
OpenWebMath
(Proof Pile II)
12.7 B 10.2 B 42.4 B 2.91 M
Algebraic Stack
(Proof Pile II)
12.6 B 9.6 B 39.3 B 2.83 M
En Wikipedia +
Wikibooks
(Dolma)
3.69 B 3.16 B 16.2 B 6.17 M
Total 4.07 T 3.53 T 17.4 T 3.08 B

Preprocessing

All subsets were pre-processed to remove documents with a sequence of 32 or more repeated ngrams.

  • a ngram is a span of 1 to 13 tokens, included;
  • tokens are obtained using the model tokenizer;
  • a sequence is a contiguous span of repeated ngrams.

In addition of the above, Starcoder dataset was further processed by removing any document meeting any of the following rules:

  • document is from a repository with fewer than 2 stars on GitHub;
  • the top most frequent word in the document constitutes over 30% of the document;
  • the two most frequent words in the document constitutes over 50% of the document.

Licensing Information

This mix is licensed under Open Data Commons Attribution License (ODC-By) v1.0. By using this dataset, you are bound to licenses and Terms of Services of underlying datasets, which you can access by clicking on the links in the table above.

Citation

@misc{muennighoff2024olmoeopenmixtureofexpertslanguage,
      title={OLMoE: Open Mixture-of-Experts Language Models}, 
      author={Niklas Muennighoff and Luca Soldaini and Dirk Groeneveld and Kyle Lo and Jacob Morrison and Sewon Min and Weijia Shi and Pete Walsh and Oyvind Tafjord and Nathan Lambert and Yuling Gu and Shane Arora and Akshita Bhagia and Dustin Schwenk and David Wadden and Alexander Wettig and Binyuan Hui and Tim Dettmers and Douwe Kiela and Ali Farhadi and Noah A. Smith and Pang Wei Koh and Amanpreet Singh and Hannaneh Hajishirzi},
      year={2024},
      eprint={2409.02060},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2409.02060}, 
}
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Paper for Zengying/OLMoE-mix-0924