A synthetic dataset of school-level mathematics questions.
This dataset code generates mathematical question and answer pairs, from a range of question types (such as in arithmetic, algebra, probability, etc), at roughly school-level difficulty. This is designed to test the mathematical learning and reasoning skills of learning models.
Original paper: Analysing Mathematical Reasoning Abilities of Neural Models (Saxton, Grefenstette, Hill, Kohli) (https://openreview.net/pdf?id=H1gR5iR5FX).
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Release files for mathematics-dataset 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mathematics_dataset-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
| mathematics_dataset-1.0.1-py2-none-any.whl | Python 2 | none | any | Details |
Total release size: 187.8 kB
Release files / mathematics_dataset-1.0.1-py3-none-any.whl
| Download URL | mathematics_dataset-1.0.1-py3-none-any.whl |
|---|---|
| Size | 93.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.11.0 pkginfo/1.4.2 requests/2.20.0 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.19.5 CPython/3.6.5
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Release files / mathematics_dataset-1.0.1-py2-none-any.whl
| Download URL | mathematics_dataset-1.0.1-py2-none-any.whl |
|---|---|
| Size | 93.9 kB |
| Tags | Python 2 |
|
SHA-256 checksum How to use checksums |
4ebe2abca7a5f2468b6c24143f2b83c265ccb32c1c655f6c9643654b98a0d878
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.11.0 pkginfo/1.4.2 requests/2.20.0 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.19.5 CPython/3.6.5
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