Datasets:

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  - en
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  size_categories:
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  - 10M<n<100M
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - en
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  size_categories:
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+ ---
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+
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+
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+ ![Descriptor logo](DocDescriptorLogo_smaller.png)
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+ Data release for the paper Task-Agnostic Web Document Annotation with LLM-Generated Descriptors (forthcoming).
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+ This dataset contains a descriptor-annotated version of a 10 billion token (~14 million document) [sample of FineWeb](https://huggingface.co/datasets/HuggingFaceFW/fineweb/viewer/sample-10BT). The descriptors are generated via a task-agnostic data annotation pipeline described in the paper (link coming soon).
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+
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+ ### Data fields
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+ - text: Document text
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+ - doc_id: Document ID (these match those in the original FineWeb release)
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+ - harmonized_descriptors: Schema mapped descriptors
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+ - raw_descriptors: Free-form descriptors that do not follow the schema
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+
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+ ### Citing
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+ If you use this data please cite the original FineWeb paper and the our paper.
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+
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+ **Task-Agnostic Web Document Annotation with LLM-Generated Descriptors**
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+ ```text
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+ Coming soon.
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+ ```
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+
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+ **FineWeb**: Link to ArXiv: https://arxiv.org/abs/2406.17557
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+ ```text
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+ @inproceedings{
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+ penedo2024the,
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+ title={The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale},
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+ author={Guilherme Penedo and Hynek Kydl{\'\i}{\v{c}}ek and Loubna Ben allal and Anton Lozhkov and Margaret Mitchell and Colin Raffel and Leandro Von Werra and Thomas Wolf},
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+ booktitle={The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
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+ year={2024},
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+ url={https://openreview.net/forum?id=n6SCkn2QaG}
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+ }
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+ ```