|
--- |
|
license: odc-by |
|
--- |
|
|
|
# Zyda2-5T |
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
Zyda2 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. Zyda2 comprises diverse sources of web data, highly educational content, math, code, and scientific papers. |
|
|
|
To construct Zyda2, we took the best open-source datasets available: Zyda, FineWeb, DCLM, Dolma. Models trained on Zyda2 significantly outperform identical models trained on the Pile, RefinedWeb, FineWeb, FineWeb-Edu, and DCLM. Due to our post-processing deduplication, filtering, and weighting pipeline, Zyda2 outperforms all its constituent datasets in resulting model quality. |
|
|
|
An early version of Zyda2 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 Zyda2 as a pretraining dataset. |
|
|
|
According to our evaluations, Zyda2 is the most performant per-token open dataset available. Zyda2 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 |
|
|
|
// TODO YURY |
|
|
|
## Breakdown by component |
|
|
|
// TODO YURY |
|
|
|
### Dataset Description |
|
|
|
<!-- Provide a longer summary of what this dataset is. --> |
|
|
|
- **Curated by:** Zyphra |
|
- **Language(s) (NLP):** Primarily English |
|
- **License:** Open Data Commons License |
|
|
|
|
|
## Dataset Structure |
|
|
|
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> |
|
|
|
// TODO IS THIS CORRECT YURY? |
|
|
|
|
|
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 |
|
|
|
Zyda2 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 |
|
|
|
|
|
// Pie chart of composition -- YURY! |
|
|
|
|
|
#### 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} |
|
} |
|
``` |
|
|
