Add data and readme

README.md

@@ -1,3 +1,62 @@
----
-license: pddl
----
+## Overview
+
+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):
+- CC: correct translation, natural sentence
+- CB: correct translation, boilerplate or low quality
+- CS: correct translation, short
+- X: incorrect translation
+- WL: wrong language
+- NL: not a language
+
+Where appropriate, the labels are accompanied by free-form comments.
+
+## Data sampling
+
+In Unix shell, execute:
+```bash
+sample_sentence_pairs () {
+    mkdir -p $1
+    cd $1
+    wget https://object.pouta.csc.fi/OPUS-$1/$2/moses/be-en.txt.zip
+    unzip be-en.txt.zip
+    paste $1.be-en.en $1.be-en.be | shuf -n 100 > $1.be-en.sample100.txt
+    ls | grep -v sample100 | xargs rm
+    cd ..
+}
+
+sample_sentence_pairs NLLB v1
+sample_sentence_pairs HPLT v2
+sample_sentence_pairs CCMatrix v1
+sample_sentence_pairs CCAligned v1
+
+mv */*.txt .
+rm -r NLLB HPLT CCMatrix CCAligned
+```
+
+Then in Python:
+```python3
+import csv
+
+def to_csv(filename):
+    with open(filename) as f:
+        data = [line.strip().split("\t") for line in f]
+    assert all(len(x) == 2 for x in data)
+    with open("processed_%s.csv" % filename, "w") as f:
+        csv_writer = csv.writer(f)
+        csv_writer.writerow(["en", "be"])
+        csv_writer.writerows(data)
+
+to_csv("NLLB.be-en.sample100.txt")
+to_csv("HPLT.be-en.sample100.txt")
+to_csv("CCMatrix.be-en.sample100.txt")
+to_csv("CCAligned.be-en.sample100.txt")
+```
+
+## Labeling results
+
+| Dataset   | CC | CB | CS | X  | WL | NL |
+|-----------|----|----|----|----|----|----|
+| NLLB      | 17 |    |    | 73 | 10 |    |
+| HPLT      | 41 | 35 | 6  | 17 | 1  |    |
+| CCMatrix  | 7  | 1  |    | 92 |    |    |
+| CCAligned | 31 | 38 | 8  | 22 | 1  |    |