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LM-Polygraph/xsum

Dataset Card for xsum This is a preprocessed version of xsum dataset for benchmarks in LM-Polygraph. Dataset Details Dataset Description Curated by: https://huggingface.co/LM-Polygraph License: https://github.com/IINemo/lm-polygraph/blob/main/LICENSE.md Dataset Sources [optional] Repository: https://github.com/IINemo/lm-polygraph Uses Direct Use This dataset should be used for performing… See the full description on the dataset page: https://huggingface.co/datasets/LM-Polygraph/xsum.

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Dataset Card

Dataset Card for xsum

<!-- Provide a quick summary of the dataset. -->

This is a preprocessed version of xsum dataset for benchmarks in LM-Polygraph.

Dataset Details

Dataset Description

<!-- Provide a longer summary of what this dataset is. -->

  • Curated by: https://huggingface.co/LM-Polygraph
  • License: https://github.com/IINemo/lm-polygraph/blob/main/LICENSE.md

Dataset Sources [optional]

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  • Repository: https://github.com/IINemo/lm-polygraph

Uses

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Direct Use

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This dataset should be used for performing benchmarks on LM-polygraph.

Out-of-Scope Use

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This dataset should not be used for further dataset preprocessing.

Dataset Structure

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This dataset contains the "continuation" subset, which corresponds to main dataset, used in LM-Polygraph. It may also contain other subsets, which correspond to instruct methods, used in LM-Polygraph.

Each subset contains two splits: train and test. Each split contains two string columns: "input", which corresponds to processed input for LM-Polygraph, and "output", which corresponds to processed output for LM-Polygraph.

Dataset Creation

Curation Rationale

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This dataset is created in order to separate dataset creation code from benchmarking code.

Source Data

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Data Collection and Processing

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Data is collected from https://huggingface.co/datasets/xsum and processed by using build_dataset.py script in repository.

Who are the source data producers?

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People who created https://huggingface.co/datasets/xsum

Bias, Risks, and Limitations

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This dataset contains the same biases, risks, and limitations as its source dataset https://huggingface.co/datasets/xsum

Recommendations

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Users should be made aware of the risks, biases and limitations of the dataset.