Datasets:

ArXiv:
License:
holylovenia commited on
Commit
8271fb8
·
verified ·
1 Parent(s): c18de5b

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +115 -0
README.md ADDED
@@ -0,0 +1,115 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+ license: gpl-3.0
4
+ language:
5
+ - ace
6
+ - ban
7
+ - bjn
8
+ - bug
9
+ - ceb
10
+ - ilo
11
+ - ind
12
+ - jav
13
+ - kac
14
+ - khm
15
+ - lao
16
+ - min
17
+ - lus
18
+ - mya
19
+ - pag
20
+ - shn
21
+ - sun
22
+ - tgl
23
+ - tha
24
+ - vie
25
+ - war
26
+ - zsm
27
+ pretty_name: Openlid
28
+ task_categories:
29
+ - language-identification
30
+ tags:
31
+ - language-identification
32
+ ---
33
+
34
+ This is an open dataset for language identification covering 201 languages, which are curated and audited manually to
35
+ ensure high confidence in its data and language labels. 22 languages are native to Southeast Asia speakers.
36
+
37
+
38
+ ## Languages
39
+
40
+ ace, ban, bjn, bug, ceb, ilo, ind, jav, kac, khm, lao, min, lus, mya, pag, shn, sun, tgl, tha, vie, war, zsm
41
+
42
+ ## Supported Tasks
43
+
44
+ Language Identification
45
+
46
+ ## Dataset Usage
47
+ ### Using `datasets` library
48
+ ```
49
+ from datasets import load_dataset
50
+ dset = datasets.load_dataset("SEACrowd/openlid", trust_remote_code=True)
51
+ ```
52
+ ### Using `seacrowd` library
53
+ ```import seacrowd as sc
54
+ # Load the dataset using the default config
55
+ dset = sc.load_dataset("openlid", schema="seacrowd")
56
+ # Check all available subsets (config names) of the dataset
57
+ print(sc.available_config_names("openlid"))
58
+ # Load the dataset using a specific config
59
+ dset = sc.load_dataset_by_config_name(config_name="<config_name>")
60
+ ```
61
+
62
+ More details on how to load the `seacrowd` library can be found [here](https://github.com/SEACrowd/seacrowd-datahub?tab=readme-ov-file#how-to-use).
63
+
64
+
65
+ ## Dataset Homepage
66
+
67
+ [https://github.com/laurieburchell/open-lid-dataset](https://github.com/laurieburchell/open-lid-dataset)
68
+
69
+ ## Dataset Version
70
+
71
+ Source: 1.0.0. SEACrowd: 2024.06.20.
72
+
73
+ ## Dataset License
74
+
75
+ GNU General Public License v3.0 (gpl-3.0)
76
+
77
+ ## Citation
78
+
79
+ If you are using the **Openlid** dataloader in your work, please cite the following:
80
+ ```
81
+ @inproceedings{burchell-etal-2023-open,
82
+ title = "An Open Dataset and Model for Language Identification",
83
+ author = "Burchell, Laurie and
84
+ Birch, Alexandra and
85
+ Bogoychev, Nikolay and
86
+ Heafield, Kenneth",
87
+ editor = "Rogers, Anna and
88
+ Boyd-Graber, Jordan and
89
+ Okazaki, Naoaki",
90
+ booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
91
+ month = jul,
92
+ year = "2023",
93
+ address = "Toronto, Canada",
94
+ publisher = "Association for Computational Linguistics",
95
+ url = "https://aclanthology.org/2023.acl-short.75",
96
+ doi = "10.18653/v1/2023.acl-short.75",
97
+ pages = "865--879",
98
+ abstract = "Language identification (LID) is a fundamental step in many natural language processing pipelines. However, current LID
99
+ systems are far from perfect, particularly on lower-resource languages. We present a LID model which achieves a macro-average F1
100
+ score of 0.93 and a false positive rate of 0.033{\%} across 201 languages, outperforming previous work. We achieve this by training
101
+ on a curated dataset of monolingual data, which we audit manually to ensure reliability. We make both the model and the dataset
102
+ available to the research community. Finally, we carry out detailed analysis into our model{'}s performance, both in comparison to
103
+ existing open models and by language class.",
104
+ }
105
+
106
+
107
+ @article{lovenia2024seacrowd,
108
+ title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages},
109
+ author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya},
110
+ year={2024},
111
+ eprint={2406.10118},
112
+ journal={arXiv preprint arXiv: 2406.10118}
113
+ }
114
+
115
+ ```