metadata

license: apache-2.0
size_categories:
  - 1M<n<10M
language:
  - bn
  - cs
  - de
  - en
  - et
  - fi
  - fr
  - gu
  - ha
  - hi
  - is
  - ja
  - kk
  - km
  - lt
  - lv
  - pl
  - ps
  - ru
  - ta
  - tr
  - uk
  - xh
  - zh
  - zu
tags:
  - mt-evaluation
  - WMT
  - 41-lang-pairs

Dataset Summary

This dataset contains all DA human annotations from previous WMT News Translation shared tasks.

The data is organised into 8 columns:

lp: language pair
src: input text
mt: translation
ref: reference translation
score: z score
raw: direct assessment
annotators: number of annotators
domain: domain of the input text (e.g. news)
year: collection year

You can also find the original data for each year in the results section https://www.statmt.org/wmt{YEAR}/results.html e.g: for 2020 data: https://www.statmt.org/wmt20/results.html

Python usage:

from datasets import load_dataset
dataset = load_dataset("RicardoRei/wmt-da-human-evaluation", split="train")

There is no standard train/test split for this dataset but you can easily split it according to year, language pair or domain. E.g. :

# split by year
data = dataset.filter(lambda example: example["year"] == 2022)

# split by LP
data = dataset.filter(lambda example: example["lp"] == "en-de")

# split by domain
data = dataset.filter(lambda example: example["domain"] == "news")

Note that most data is from News domain.

Citation Information

If you use this data please cite the WMT findings from previous years: