metadata

dataset_info:
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      - name: output
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  - config_name: ruen_simple_instruct
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configs:
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    data_files:
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        path: deen/train-*
      - split: test
        path: deen/test-*
  - config_name: deen_simple_instruct
    data_files:
      - split: train
        path: deen_simple_instruct/train-*
      - split: test
        path: deen_simple_instruct/test-*
  - config_name: ruen
    data_files:
      - split: train
        path: ruen/train-*
      - split: test
        path: ruen/test-*
  - config_name: ruen_simple_instruct
    data_files:
      - split: train
        path: ruen_simple_instruct/train-*
      - split: test
        path: ruen_simple_instruct/test-*

Dataset Card for wmt19

This is a preprocessed version of wmt19 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/wmt19 and processed by using build_dataset.py script in repository.

Who are the source data producers?

People who created https://huggingface.co/datasets/wmt19

Bias, Risks, and Limitations

This dataset contains the same biases, risks, and limitations as its source dataset https://huggingface.co/datasets/wmt19

Recommendations

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