metadata

language:
  - en
dataset_info:
  - config_name: continuation
    features:
      - name: input
        dtype: string
      - name: output
        dtype: string
    splits:
      - name: train
        num_bytes: 494305693
        num_examples: 204045
      - name: test
        num_bytes: 27594857
        num_examples: 11334
    download_size: 321712135
    dataset_size: 521900550
  - config_name: simple_instruct
    features:
      - name: input
        dtype: string
      - name: output
        dtype: string
    splits:
      - name: train
        num_bytes: 498182548
        num_examples: 204045
      - name: test
        num_bytes: 27810203
        num_examples: 11334
    download_size: 321755661
    dataset_size: 525992751
configs:
  - config_name: continuation
    data_files:
      - split: train
        path: continuation/train-*
      - split: test
        path: continuation/test-*
  - config_name: simple_instruct
    data_files:
      - split: train
        path: simple_instruct/train-*
      - split: test
        path: simple_instruct/test-*

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 benchmarks on LM-polygraph.

Out-of-Scope Use

This dataset should not be used for further dataset preprocessing.

Dataset Structure

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

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

Source Data

Data Collection and Processing

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?

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

Bias, Risks, and Limitations

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

Recommendations

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