Dataset Card for "lince"

Dataset Summary

LinCE is a centralized Linguistic Code-switching Evaluation benchmark (https://ritual.uh.edu/lince/) that contains data for training and evaluating NLP systems on code-switching tasks.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

lid_hineng

• Size of downloaded dataset files: 0.43 MB
• Size of the generated dataset: 2.39 MB
• Total amount of disk used: 2.82 MB

An example of 'validation' looks as follows.

{
    "idx": 0,
    "lid": ["other", "other", "lang1", "lang1", "lang1", "other", "lang1", "lang1", "lang1", "lang1", "lang1", "lang1", "lang1", "mixed", "lang1", "lang1", "other"],
    "words": ["@ZahirJ", "@BinyavangaW", "Loved", "the", "ending", "!", "I", "could", "have", "offered", "you", "some", "ironic", "chai-tea", "for", "it", ";)"]
}

lid_msaea

• Size of downloaded dataset files: 0.81 MB
• Size of the generated dataset: 4.89 MB
• Total amount of disk used: 5.69 MB

An example of 'train' looks as follows.

This example was too long and was cropped:

{
    "idx": 0,
    "lid": ["ne", "lang2", "other", "lang2", "lang2", "other", "other", "lang2", "lang2", "lang2", "lang2", "lang2", "lang2", "lang2", "lang2", "lang2", "lang2", "lang2", "lang2", "lang2", "lang2", "other", "lang2", "lang2", "lang2", "ne", "lang2", "lang2"],
    "words": "[\"علاء\", \"بخير\", \"،\", \"معنوياته\", \"كويسة\", \".\", \"..\", \"اسخف\", \"حاجة\", \"بس\", \"ان\", \"كل\", \"واحد\", \"منهم\", \"بييقى\", \"مقفول\", \"عليه\"..."
}

lid_nepeng

• Size of downloaded dataset files: 0.55 MB
• Size of the generated dataset: 3.21 MB
• Total amount of disk used: 3.75 MB

An example of 'validation' looks as follows.

{
    "idx": 1,
    "lid": ["other", "lang2", "lang2", "lang2", "lang2", "lang1", "lang1", "lang1", "lang1", "lang1", "lang2", "lang2", "other", "mixed", "lang2", "lang2", "other", "other", "other", "other"],
    "words": ["@nirvikdada", "la", "hamlai", "bhetna", "paayeko", "will", "be", "your", "greatest", "gift", "ni", "dada", ";P", "#TreatChaiyo", "j", "hos", ";)", "@zappylily", "@AsthaGhm", "@ayacs_asis"]
}

lid_spaeng

• Size of downloaded dataset files: 1.18 MB
• Size of the generated dataset: 6.83 MB
• Total amount of disk used: 8.01 MB

An example of 'train' looks as follows.

{
    "idx": 0,
    "lid": ["other", "other", "lang1", "lang1", "lang1", "other", "lang1", "lang1"],
    "words": ["11:11", ".....", "make", "a", "wish", ".......", "night", "night"]
}

ner_hineng

• Size of downloaded dataset files: 0.14 MB
• Size of the generated dataset: 0.79 MB
• Total amount of disk used: 0.92 MB

An example of 'train' looks as follows.

{
    "idx": 1,
    "lid": ["en", "en", "en", "en", "en", "en", "hi", "hi", "hi", "hi", "hi", "hi", "hi", "en", "en", "en", "en", "rest"],
    "ner": ["O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-PERSON", "I-PERSON", "O", "O", "O", "B-PERSON", "I-PERSON"],
    "words": ["I", "liked", "a", "@YouTube", "video", "https://t.co/DmVqhZbdaI", "Kabhi", "Palkon", "Pe", "Aasoon", "Hai-", "Kishore", "Kumar", "-Vocal", "Cover", "By", "Stephen", "Qadir"]
}

Data Fields

The data fields are the same among all splits.

lid_hineng

• idx: a int32 feature.
• words: a list of string features.
• lid: a list of string features.

lid_msaea

• idx: a int32 feature.
• words: a list of string features.
• lid: a list of string features.

lid_nepeng

• idx: a int32 feature.
• words: a list of string features.
• lid: a list of string features.

lid_spaeng

• idx: a int32 feature.
• words: a list of string features.
• lid: a list of string features.

ner_hineng

• idx: a int32 feature.
• words: a list of string features.
• lid: a list of string features.
• ner: a list of string features.

Data Splits

name	train	validation	test
lid_hineng	4823	744	1854
lid_msaea	8464	1116	1663
lid_nepeng	8451	1332	3228
lid_spaeng	21030	3332	8289
ner_hineng	1243	314	522

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

More Information Needed

Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

@inproceedings{aguilar-etal-2020-lince,
    title = "{L}in{CE}: A Centralized Benchmark for Linguistic Code-switching Evaluation",
    author = "Aguilar, Gustavo  and
      Kar, Sudipta  and
      Solorio, Thamar",
    booktitle = "Proceedings of The 12th Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://www.aclweb.org/anthology/2020.lrec-1.223",
    pages = "1803--1813",
    language = "English",
    ISBN = "979-10-95546-34-4",
}

Note that each LinCE dataset has its own citation too. Please see here for the correct citation on each dataset.

Contributions

Thanks to @lhoestq, @thomwolf, @gaguilar for adding this dataset.