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--- |
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license: pddl |
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task_categories: |
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- translation |
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language: |
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- be |
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- en |
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size_categories: |
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- n<1K |
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--- |
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## Overview |
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This is a small dataset of English-Belarusian sentence pairs sampled from the largest parallel corpora in [OPUS](https://opus.nlpl.eu/results/en&be/corpus-result-table) (100 random instances from each of the following: NLLB, HPLT, CCMatrix, CCAligned) and manually labeled for correctness by a speaker of Belarusian. The taxonomy of labels follows [Kreutzer et al. 2022](https://doi.org/10.1162/tacl_a_00447): |
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- CC: correct translation, natural sentence |
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- CB: correct translation, boilerplate or low quality |
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- CS: correct translation, short |
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- X: incorrect translation |
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- WL: wrong language |
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- NL: not a language |
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Where appropriate, the labels are accompanied by free-form comments. |
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## Data sampling |
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In Unix shell, execute: |
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```bash |
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sample_sentence_pairs () { |
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mkdir -p $1 |
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cd $1 |
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wget https://object.pouta.csc.fi/OPUS-$1/$2/moses/be-en.txt.zip |
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unzip be-en.txt.zip |
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paste $1.be-en.en $1.be-en.be | shuf -n 100 > $1.be-en.sample100.txt |
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ls | grep -v sample100 | xargs rm |
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cd .. |
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} |
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sample_sentence_pairs NLLB v1 |
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sample_sentence_pairs HPLT v2 |
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sample_sentence_pairs CCMatrix v1 |
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sample_sentence_pairs CCAligned v1 |
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mv */*.txt . |
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rm -r NLLB HPLT CCMatrix CCAligned |
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``` |
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Then in Python: |
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```python3 |
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import csv |
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def to_csv(filename): |
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with open(filename) as f: |
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data = [line.strip().split("\t") for line in f] |
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assert all(len(x) == 2 for x in data) |
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with open("processed_%s.csv" % filename, "w") as f: |
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csv_writer = csv.writer(f) |
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csv_writer.writerow(["en", "be"]) |
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csv_writer.writerows(data) |
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to_csv("NLLB.be-en.sample100.txt") |
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to_csv("HPLT.be-en.sample100.txt") |
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to_csv("CCMatrix.be-en.sample100.txt") |
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to_csv("CCAligned.be-en.sample100.txt") |
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``` |
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## Labeling results |
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| Dataset | CC | CB | CS | X | WL | NL | |
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|-----------|----|----|----|----|----|----| |
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| NLLB | 17 | | | 73 | 10 | | |
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| HPLT | 41 | 35 | 6 | 17 | 1 | | |
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| CCMatrix | 7 | 1 | | 92 | | | |
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| CCAligned | 31 | 38 | 8 | 22 | 1 | | |
