dataset_info:
config_name: deen
features:
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 11263009157
num_examples: 34782245
- name: test
num_bytes: 1069433
num_examples: 2998
download_size: 4379524172
dataset_size: 11264078590
configs:
- config_name: deen
data_files:
- split: train
path: deen/train-*
- split: test
path: deen/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.