Datasets:

TaoTern
/

TaoData

language:
  - en
license: odc-by
pretty_name: TaoData
size_categories:
  - 1M<n<10M
task_categories:
  - language-modeling
task_ids:
  - language-modeling
tags:
  - pretraining
  - web
  - fineweb-edu
  - taodata
configs:
  - config_name: default
    data_files:
      - split: train
        path: pretrain.jsonl

TaoData

Dataset Summary

TaoData is a large-scale English pretraining dataset prepared for the Taotern model family. It is a processed subset of HuggingFaceFW/fineweb-edu, filtered and formatted with the TaoData framework using the taodata.yaml configuration.

This release contains about 6.7 million samples in JSONL format and is intended as one of the main pretraining corpora used by Taotern models.

Supported Tasks

Causal language modeling
Continued pretraining
Data mixture construction for foundation models

Languages

English

Dataset Structure

Data Instances

Each row is a JSON object. Example:

{
  "text": "Average life span in the wild: 12 years...",
  "id": "<urn:uuid:9c71b6db-6728-48b5-96b5-05fbc0b5bb4f>",
  "dump": "CC-MAIN-2013-20",
  "url": "http://amazingpicturesoftheanimals.blogspot.com/2012/05/mellers-chameleon-facts-pictures.html",
  "date": null,
  "file_path": "s3://commoncrawl/...",
  "language": "en",
  "language_score": 0.9396425485610962,
  "token_count": 359,
  "score": 3.40625,
  "int_score": 3
}

Data Fields

text: Cleaned document text used for pretraining.
id: Sample identifier inherited from the upstream dataset.
dump: Common Crawl dump identifier.
url: Source URL from the crawl.
date: Source date when available.
file_path: Original Common Crawl WARC path.
language: Language tag.
language_score: Upstream language confidence score.
token_count: Token count metadata.
score: Quality score metadata.
int_score: Integer-binned quality score.

Data Splits

train: ~6.7M samples

Source Data

This dataset is derived from:

HuggingFaceFW/fineweb-edu

The upstream dataset is a large English web corpus derived from Common Crawl and released by Hugging Face. TaoData applies the TaoData preprocessing pipeline to produce a cleaned training subset suitable for large-scale language model pretraining.

Processing

The dataset was processed with the TaoData framework using:

taodata/config/taodata.yaml

At a high level, this release is intended to be a clean, training-ready subset for Taotern model development.

Intended Use

TaoData is designed for:

Pretraining or continued pretraining of large language models
Training data ablations and mixture experiments
Research on web-scale text filtering and corpus construction

Limitations

This is web-derived text and may still contain factual errors, bias, noise, or unwanted content.
The dataset inherits limitations, source coverage, and potential artifacts from FineWeb-Edu and Common Crawl.
It is intended for research and model training, not as a source of verified facts.

Licensing

This dataset is derived from FineWeb-Edu, which is published on Hugging Face under the odc-by license at the time of writing. Users should review the upstream dataset card and ensure their use complies with all applicable upstream terms and attribution requirements.

Citation

If you use this dataset, please cite the upstream dataset and the TaoData processing framework as appropriate:

@misc{fineweb_edu,
  title = {FineWeb-Edu},
  howpublished = {\url{https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu}}
}

@misc{taodata,
  title = {TaoData},
  howpublished = {\url{https://github.com/Taotern/TaoData}}
}