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Datasets:
jhu-clsp
/
ettin-pretraining-data

Tasks:
Text Generation
Fill-Mask
Text Classification
Languages:
English
ArXiv:
Tags:
pretraining
language-modeling
encoder
decoder
foundation-model
transformer
License:
Dataset card Files
xet
Community
12
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 78, in _split_generators
                  data_files = dl_manager.download_and_extract(self.config.data_files)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 169, in download_and_extract
                  return self.extract(self.download(url_or_urls))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 121, in extract
                  urlpaths = map_nested(self._extract, url_or_urls, map_tuple=True)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 503, in map_nested
                  mapped = [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 504, in <listcomp>
                  map_nested(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 520, in map_nested
                  mapped = [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 521, in <listcomp>
                  _single_map_nested((function, obj, batched, batch_size, types, None, True, None))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 382, in _single_map_nested
                  return function(data_struct)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 131, in _extract
                  raise NotImplementedError(
              NotImplementedError: Extraction protocol for TAR archives like 'hf://datasets/jhu-clsp/ettin-pretraining-data@7c1cc45be268598bbbbe0157676e520c9290b3b8/algebraic-stack/algebraic_stack_train_0000-tokenized-chunked-1024-512-128-backfill-nodups.jsonl.tar.gz' is not implemented in streaming mode. Please use `dl_manager.iter_archive` instead.
              
              Example usage:
              
              	url = dl_manager.download(url)
              	tar_archive_iterator = dl_manager.iter_archive(url)
              
              	for filename, file in tar_archive_iterator:
              		...
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
                  info = get_dataset_config_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 294, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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YAML Metadata Warning: The task_categories "retrieval" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

Ettin Pre-training Data

License: MIT Paper Models GitHub

Phase 1 of 3: Diverse pre-training data mixture (1.7T tokens) used to train the Ettin model suite.

This dataset contains the pre-training phase data used to train all Ettin encoder and decoder models. The data is provided in MDS format ready for use with Composer and the ModernBERT training repository.

📊 Data Composition

Data Source Tokens (B) Percentage Description
DCLM 837.2 49.1% High-quality web crawl data
CC Head 356.6 20.9% Common Crawl head documents
Starcoder 263.9 15.5% Code repositories and files
Reddit 80.3 4.7% Social discussion threads
PeS2o 57.3 3.4% Scientific papers
Arxiv 28.0 1.6% Academic preprints
StackExchange 19.6 1.2% Q&A forums
Tulu Flan 16.6 1.0% Instruction-following data
Open-Web-Math 12.7 0.7% Mathematical content
Algebraic StackExchange 12.6 0.7% Math Q&A
CC News 7.3 0.4% News articles
Wikipedia 7.3 0.4% Encyclopedia articles
Total 1,704.7 100.0% Diverse mixture for foundation training

🚀 Usage

For pre-training, see the ModernBERT repo: https://github.com/AnswerDotAI/ModernBERT

Direct Access 

from streaming import StreamingDataset

# Load the streaming dataset
dataset = StreamingDataset(
    remote='https://huggingface.co/datasets/jhu-clsp/ettin-pretraining-data',
    local='/tmp/ettin-pretraining-data',
    shuffle=True
)

# Access samples
for sample in dataset:
    text = sample['text']
    # Process your data...

📁 Structure

Each folder contains one data source in MDS (Mosaic Data Shard) format:

  • arxiv/ - Academic papers from ArXiv
  • books/ - Literature and reference books
  • cc_head/ - High-quality Common Crawl documents
  • cc_news/ - News articles from Common Crawl
  • dclm/ - DataComp-LM filtered web data
  • open_web_math/ - Mathematical web content
  • algebraic_stackexchange/ - Math Q&A from StackExchange
  • pes2o/ - Scientific papers (PeS2o dataset)
  • reddit/ - Reddit discussion threads
  • stackexchange/ - General StackExchange Q&A
  • starcoder/ - Code from GitHub repositories
  • tulu_flan/ - Instruction-following examples
  • wikipedia/ - Wikipedia articles

🔗 Related Resources

Citation 

@misc{weller2025seqvsseqopen,
      title={Seq vs Seq: An Open Suite of Paired Encoders and Decoders}, 
      author={Orion Weller and Kathryn Ricci and Marc Marone and Antoine Chaffin and Dawn Lawrie and Benjamin Van Durme},
      year={2025},
      eprint={2507.11412},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2507.11412}, 
}
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