Datasets:
Update
Browse files- .gitattributes +1 -0
- README.md +129 -1
- pretrain.jsonl +3 -0
.gitattributes
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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pretrain.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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language:
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- en
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license: odc-by
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pretty_name: TaoData
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size_categories:
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- 1M<n<10M
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task_categories:
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- language-modeling
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task_ids:
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- language-modeling
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tags:
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- pretraining
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- web
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- fineweb-edu
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- taodata
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configs:
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- config_name: default
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data_files:
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- split: train
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path: pretrain.jsonl
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---
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# TaoData
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## Dataset Summary
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TaoData is a large-scale English pretraining dataset prepared for the Taotern model family. It is a processed subset of [HuggingFaceFW/fineweb-edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu), filtered and formatted with the [TaoData framework](https://github.com/Taotern/TaoData) using the [`taodata.yaml`](https://github.com/Taotern/TaoData/blob/main/taodata/config/taodata.yaml) configuration.
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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.
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## Supported Tasks
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- Causal language modeling
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- Continued pretraining
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- Data mixture construction for foundation models
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## Languages
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- English
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## Dataset Structure
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### Data Instances
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Each row is a JSON object. Example:
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```json
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{
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"text": "Average life span in the wild: 12 years...",
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"id": "<urn:uuid:9c71b6db-6728-48b5-96b5-05fbc0b5bb4f>",
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"dump": "CC-MAIN-2013-20",
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"url": "http://amazingpicturesoftheanimals.blogspot.com/2012/05/mellers-chameleon-facts-pictures.html",
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"date": null,
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"file_path": "s3://commoncrawl/...",
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"language": "en",
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"language_score": 0.9396425485610962,
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"token_count": 359,
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"score": 3.40625,
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"int_score": 3
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}
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```
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### Data Fields
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- `text`: Cleaned document text used for pretraining.
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- `id`: Sample identifier inherited from the upstream dataset.
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- `dump`: Common Crawl dump identifier.
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- `url`: Source URL from the crawl.
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- `date`: Source date when available.
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- `file_path`: Original Common Crawl WARC path.
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- `language`: Language tag.
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- `language_score`: Upstream language confidence score.
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- `token_count`: Token count metadata.
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- `score`: Quality score metadata.
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- `int_score`: Integer-binned quality score.
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### Data Splits
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- `train`: ~6.7M samples
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## Source Data
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This dataset is derived from:
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- [HuggingFaceFW/fineweb-edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu)
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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.
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## Processing
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The dataset was processed with the TaoData framework using:
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- [`taodata/config/taodata.yaml`](https://github.com/Taotern/TaoData/blob/main/taodata/config/taodata.yaml)
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At a high level, this release is intended to be a clean, training-ready subset for Taotern model development.
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## Intended Use
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TaoData is designed for:
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- Pretraining or continued pretraining of large language models
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- Training data ablations and mixture experiments
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- Research on web-scale text filtering and corpus construction
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## Limitations
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- This is web-derived text and may still contain factual errors, bias, noise, or unwanted content.
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- The dataset inherits limitations, source coverage, and potential artifacts from FineWeb-Edu and Common Crawl.
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- It is intended for research and model training, not as a source of verified facts.
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## Licensing
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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.
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## Citation
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If you use this dataset, please cite the upstream dataset and the TaoData processing framework as appropriate:
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```bibtex
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@misc{fineweb_edu,
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title = {FineWeb-Edu},
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howpublished = {\url{https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu}}
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}
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@misc{taodata,
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title = {TaoData},
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howpublished = {\url{https://github.com/Taotern/TaoData}}
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}
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```
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pretrain.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:890db8646421dbb993991dac41684b952a57c940abc52c0bff686416d964ca7b
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size 24696295424
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