BitTokens-dataset / README.md
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---
license: mit
task_categories:
- text-generation
language:
- en
size_categories:
- 100M<n<1B
tags:
- arithmetic
- numeracy
- bittokens
- synthetic
- language-modeling
pretty_name: BitTokens Dataset
---
# BitTokens Dataset
This dataset contains the exact synthetic number-problem CSV files used by the
BitTokens paper configs in the public repository. It is intended for reproducing
BitTokens and the FoNE, xVal, significant-digit, token-digit, and base-10
baseline experiments.
The CSV files are minimal copies of the original paper data. Only the columns
required by the dataloaders are included:
- `prompt`
- `text_prompt`
- `answer`
- `difficulty`
- `difficulty_sd`
All values were preserved as strings during processing to avoid numeric
precision changes. The original source CSVs were not modified.
## Files
The repository contains 37 CSV files:
- 14 train files
- 14 validation files
- 9 test files
The files cover Addition, Multiplication, Division, DivM, Exponentiation,
MinMax, Interval, Sorting, Mean, and Std tasks, including the binary-uniform
curriculum files used by BitTokens where referenced by the configs.
`manifest.json` records source sizes, output sizes, selected flavor, and stale
config references that were skipped because they were not present in the source
snapshot.
## FineWeb Text Data
This dataset intentionally does not include the FineWeb-derived `.txt` files.
Those belong to the public FineWeb dataset and should be downloaded from the
original source instead. See the BitTokens repository README for the exact
FineWeb download and decoding commands.
## Usage
Download this dataset into your `DATA_PATH` directory:
```sh
hf download KreitnerL/BitTokens-dataset --repo-type dataset --local-dir "$DATA_PATH"
```
Then download and decode FineWeb separately if you want to reproduce the mixed
numeric/text training runs. The BitTokens configs expect the decoded text files
to be available under the local `DATA_PATH` as `000_00000_train.txt` and
`val_text.txt`.
## Citation
If you use this dataset, please cite:
```bibtex
@inproceedings{
kreitner2026bittokens,
title={Efficient numeracy in language models through single-token number embeddings},
author={Linus Kreitner and Paul Hager and Jonathan Mengedoht and Georgios Kaissis and Daniel Rueckert and Martin J. Menten},
booktitle={Forty-third International Conference on Machine Learning},
year={2026},
url={https://openreview.net/forum?id=Bh4Ubk80M8}
}
```