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Add dataset card

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+ ---
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+ dataset_info:
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+ features:
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+ - name: text
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+ dtype: string
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+ - name: id
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+ dtype: string
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+ - name: dump
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+ dtype: string
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+ - name: url
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+ dtype: string
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+ - name: date
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+ dtype: string
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+ - name: file_path
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+ dtype: string
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+ - name: language
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+ dtype: string
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+ - name: token_count
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+ dtype: int64
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+ - name: dataset
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_examples: 17781952
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+ license: odc-by
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+ language:
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+ - en
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+ size_categories:
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+ - 10M<n<100M
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+ tags:
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+ - pretraining
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+ - smol-data
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+ pretty_name: FinePDFs-Edu 100BT
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+ ---
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+
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+ # FinePDFs-Edu 100BT
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+
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+ A ~100 billion token English subset of [FinePDFs-Edu](https://huggingface.co/datasets/HuggingFaceFW/finepdfs-edu) (eng_Latn split), created for efficient pretraining experiments.
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+
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+ Part of the [Smol-Data](https://huggingface.co/collections/HuggingFaceFW/smol-data) collection — tried and tested mixes for strong pretraining.
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+
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+ ## Dataset Description
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+
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+ This dataset was created by randomly sampling from the English split of FinePDFs-Edu (~136B tokens) to produce a ~100B token subset. Since the source is only ~136B tokens and the target is 100B, the sampling rate is high (~77%), meaning most of the source data is retained.
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+
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+ A pre-shuffled version is available at [HuggingFaceFW/finepdfs_edu_100BT-shuffled](https://huggingface.co/datasets/HuggingFaceFW/finepdfs_edu_100BT-shuffled).
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+
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+ ## How It Was Created
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+
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+ The dataset was generated using [datatrove](https://github.com/huggingface/datatrove) with the [smol_data.py](https://github.com/huggingface/datatrove/blob/main/examples/smol_data.py) script. The pipeline reads from the source dataset in streaming mode, applies a `SamplerFilter` to downsample, and writes the result back to the Hugging Face Hub.
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("HuggingFaceFW/finepdfs_edu_100BT", split="train", streaming=True)
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+ for sample in ds:
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+ print(sample["text"][:200])
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+ break
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+ ```
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{niklaus2025finepdfsedu100bt,
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+ title={FinePDFs-Edu 100BT},
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+ author={Joel Niklaus and Hynek Kydl{\'\i}{\v{c}}ek},
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+ year={2026},
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+ publisher={Hugging Face},
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+ journal={Hugging Face repository},
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+ howpublished={\url{https://huggingface.co/datasets/HuggingFaceFW/finepdfs_edu_100BT}}
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+ }
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+ ```