README.md

---
license: odc-by
---

# Zynemo-5T

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Zynemo is a 5 trillion token language modeling dataset created by collecting open and high quality datasets and combining them and cross-deduplication and model-based quality filtering. Zynemo comprises diverse sources of web data, highly educational content, math, code, and scientific papers.

To construct Zynemo, we took the best open-source datasets available: Zyda, FineWeb, DCLM, Dolma. Models trained on Zynemo significantly outperform identical models trained on the Pile, RefinedWeb, FineWeb, FineWeb-Edu, and DCLM. Due to our post-processing deduplication, filtering, and weighting pipeline, Zynemo outperforms all its constituent datasets in resulting model quality.

An early version of Zynemo was used as the primary dataset for phase 1 pretraining of our Zamba2 series [of](Zyphra/Zamba2-2.7B) [models](Zyphra/Zamba2-1.2B) which perform extremely strongly on a per-token basis and are often state-of-the-art for their size, testifying to the strength of Zynemo as a pretraining dataset.

According to our evaluations, Zynemo is the most performant per-token open dataset available. Zynemo excels at educational and natural language reasoning content. For code performance, we reccomend mixing it with a pure code dataset such as [Starcoder](https://huggingface.co/bigcode/starcoder). 


// TODO Ablation scores key plots

For more information, please see our technical blog (-/TODO LINK)

## How to download

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## Breakdown by component

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### Dataset Description

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- **Curated by:** Zyphra
- **Language(s) (NLP):** Primarily English
- **License:** Open Data Commons License


## Dataset Structure

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Dataset fields:
- `text`: contains actual text for training
- `source`: component the text is coming from
- `filtering_features`: precomputed values of different features that were used for filtering (converted to json string)
- `source_other`: metadata from the source dataset (converted to json string)

### Source Data

Zynemo is comprised of four high quality open-source datasets:

Zyda1: https://huggingface.co/datasets/Zyphra/Zyda

Dolma-1.7-cc https://huggingface.co/datasets/allenai/dolma

DCLM-baseline: https://huggingface.co/datasets/mlfoundations/dclm-baseline-1.0

FineWeb-Edu-2 https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu


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#### Personal and Sensitive Information

As a language modelling dataset, it likely contains PII which has not been filtered out of the component datasets and which may have been missed by our own filters.

## Bias, Risks, and Limitations

As a dataset comprised of open web scrapes, it is likely that it contains biased and toxic content. 

## Licensing Information

We are releasing this dataset under the terms of [ODC-BY](https://opendatacommons.org/licenses/by/1-0/). By using this dataset, you are also bound by any license agreements and terms of use of the original data sources.

## Citation

If you use our dataset to train a model, please cite us at:

```
@misc{tokpanov2024zyda,
      title={Zyda: A 1.3T Dataset for Open Language Modeling}, 
      author={Yury Tokpanov and Beren Millidge and Paolo Glorioso and Jonathan Pilault and Adam Ibrahim and James Whittington and Quentin Anthony},
      year={2024},
      eprint={2406.01981},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
```