---
license: apache-2.0
language:
- en
pretty_name: NumGLUE
configs:
- config_name: all
  default: true
  data_files:
  - split: train
    path: data/all/train.parquet
  - split: validation
    path: data/all/validation.parquet
  - split: test
    path: data/all/test.parquet
- config_name: type_1
  data_files:
  - split: train
    path: data/type_1/train.parquet
  - split: validation
    path: data/type_1/validation.parquet
  - split: test
    path: data/type_1/test.parquet
- config_name: type_2
  data_files:
  - split: train
    path: data/type_2/train.parquet
  - split: validation
    path: data/type_2/validation.parquet
  - split: test
    path: data/type_2/test.parquet
- config_name: type_3
  data_files:
  - split: train
    path: data/type_3/train.parquet
  - split: validation
    path: data/type_3/validation.parquet
  - split: test
    path: data/type_3/test.parquet
- config_name: type_4
  data_files:
  - split: train
    path: data/type_4/train.parquet
  - split: validation
    path: data/type_4/validation.parquet
  - split: test
    path: data/type_4/test.parquet
- config_name: type_5
  data_files:
  - split: train
    path: data/type_5/train.parquet
  - split: validation
    path: data/type_5/validation.parquet
  - split: test
    path: data/type_5/test.parquet
- config_name: type_6
  data_files:
  - split: train
    path: data/type_6/train.parquet
  - split: validation
    path: data/type_6/validation.parquet
  - split: test
    path: data/type_6/test.parquet
- config_name: type_7
  data_files:
  - split: train
    path: data/type_7/train.parquet
  - split: validation
    path: data/type_7/validation.parquet
  - split: test
    path: data/type_7/test.parquet
- config_name: type_8
  data_files:
  - split: train
    path: data/type_8/train.parquet
  - split: validation
    path: data/type_8/validation.parquet
  - split: test
    path: data/type_8/test.parquet
---

# NumGLUE

This repository provides NumGLUE in a normalized Parquet layout for convenient loading from Hugging Face Datasets.

The default `all` config is balanced for unified training and evaluation: each NumGLUE type contributes at most 1,000 examples per split. It is ordered with `prettyorder` on `type`, using a 3-example interleaved prefix followed by a seeded shuffle (`seed=42`) of the remaining rows. The `type_1` through `type_8` configs expose each original NumGLUE type separately at full size with the same column schema as `all`.

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("tasksource/num-glue")
type_5 = load_dataset("tasksource/num-glue", "type_5")
```

## Columns

- `id`: deterministic row id built from split and source row index.
- `type`: original NumGLUE type label, from `Type_1` to `Type_8`.
- `question`, `passage`, `statement1`, `statement2`, `options`, `option1`, `option2`: normalized input fields. Missing source fields are null.
- `answer`: simple string answer for direct use.
- `answer_json`: exact JSON serialization of the original `answer` value.
- `answer_type`: original JSON answer type (`int`, `str`, or `dict`).

Original `NumGLUE_dev.json` is exposed as the Hugging Face `validation` split.

## Split Sizes

| config | train | validation | test |
|---|---:|---:|---:|
| all | 6,502 | 3,492 | 4,042 |
| type_1 | 282 | 41 | 81 |
| type_2 | 1,131 | 164 | 325 |
| type_3 | 564 | 81 | 162 |
| type_4 | 770 | 110 | 220 |
| type_5 | 37,949 | 5,421 | 4,835 |
| type_6 | 22,908 | 3,272 | 3,015 |
| type_7 | 6,791 | 970 | 1,691 |
| type_8 | 886 | 126 | 254 |

## Citation

Please cite the NumGLUE paper:

```bibtex
@article{mishra2022numglue,
  title = {NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks},
  author = {Mishra, Swaroop and Mitra, Arindam and Varshney, Neeraj and Sachdeva, Bhavdeep and Clark, Peter and Baral, Chitta and Kalyan, Ashwin},
  journal = {arXiv preprint arXiv:2204.05660},
  year = {2022},
  url = {https://arxiv.org/abs/2204.05660}
}
```