Apply prettyorder to default config
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README.md
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This repository provides NumGLUE in a normalized Parquet layout for convenient loading from Hugging Face Datasets.
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The default `all` config is balanced for unified training and evaluation: each NumGLUE type contributes at most 1,000 examples per split. The `type_1` through `type_8` configs expose each original NumGLUE type separately at full size with the same column schema as `all`.
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## Usage
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This repository provides NumGLUE in a normalized Parquet layout for convenient loading from Hugging Face Datasets.
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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`.
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## Usage
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data/all/test.parquet
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data/all/train.parquet
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data/all/validation.parquet
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