Datasets:

ArXiv:
Pham Van Ngoan commited on
Commit
6d34985
·
1 Parent(s): 274f888

Create README.md

Browse files
Files changed (1) hide show
  1. README.md +50 -0
README.md ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
3
+ # Doc / guide: https://huggingface.co/docs/hub/datasets-cards
4
+ {}
5
+ ---
6
+
7
+ # Dataset Card for WikiMatrix English-Vietnamese Parallel Sentences
8
+
9
+
10
+ ### Dataset Summary
11
+
12
+ The WikiMatrix English-Vietnamese Parallel Sentences dataset contains parallel sentences in English and Vietnamese extracted from the WikiMatrix project. This dataset is a valuable resource for tasks such as machine translation and cross-lingual understanding.
13
+
14
+ ### Supported Tasks and Leaderboards
15
+
16
+ - Machine Translation
17
+ - Cross-lingual Understanding
18
+
19
+ ### Languages
20
+
21
+ - English
22
+ - Vietnamese
23
+
24
+
25
+ ## Additional Information
26
+
27
+
28
+ ### Licensing Information
29
+
30
+ The dataset is distributed under the Creative Commons Attribution-ShareAlike License.
31
+
32
+ ### Citation Information
33
+ [1] Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong and Paco Guzman,
34
+ [*WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia*](https://arxiv.org/abs/1907.05791)
35
+ arXiv, July 11 2019.
36
+
37
+ [2] Mikel Artetxe and Holger Schwenk,
38
+ [*Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings*](https://arxiv.org/abs/1811.01136)
39
+ arXiv, Nov 3 2018.
40
+
41
+ [3] Mikel Artetxe and Holger Schwenk,
42
+ [*Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond*](https://arxiv.org/abs/1812.10464)
43
+ arXiv, Dec 26 2018.
44
+
45
+ [4] Ye Qi, Devendra Sachan, Matthieu Felix, Sarguna Padmanabhan and Graham Neubig,
46
+ [*When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?*](https://www.aclweb.org/anthology/papers/N/N18/N18-2084/)
47
+ NAACL, pages 529-535, 2018.
48
+
49
+
50
+