| --- |
| 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} |
| } |
| ``` |
|
|
