Hugging Face's logo

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 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.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

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}, 
}
Downloads last month
3,253

Models trained or fine-tuned on jhu-clsp/ettin-pretraining-data

Collection including jhu-clsp/ettin-pretraining-data