
# Dataset Card for "lince"

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [http://ritual.uh.edu/lince](http://ritual.uh.edu/lince)
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Size of downloaded dataset files:** 9.09 MB
- **Size of the generated dataset:** 56.42 MB
- **Total amount of disk used:** 65.52 MB

### 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](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Languages

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## 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](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the source language producers?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the annotators?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Personal and Sensitive Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Discussion of Biases

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Other Known Limitations

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Additional Information

### Dataset Curators

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Licensing Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### 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](https://ritual.uh.edu/lince/datasets)
for the correct citation on each dataset.

### Contributions

Thanks to [@lhoestq](https://github.com/lhoestq), [@thomwolf](https://github.com/thomwolf), [@gaguilar](https://github.com/gaguilar) for adding this dataset.
region:us
{"paperswithcode_id": "lince", "pretty_name": "Linguistic Code-switching Evaluation Dataset", "dataset_info": [{"config_name": "lid_spaeng", "features": [{"name": "idx", "dtype": "int32"}, {"name": "words", "sequence": "string"}, {"name": "lid", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 4745003, "num_examples": 21030}, {"name": "validation", "num_bytes": 739950, "num_examples": 3332}, {"name": "test", "num_bytes": 1337727, "num_examples": 8289}], "download_size": 1188861, "dataset_size": 6822680}, {"config_name": "lid_hineng", "features": [{"name": "idx", "dtype": "int32"}, {"name": "words", "sequence": "string"}, {"name": "lid", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 1662284, "num_examples": 4823}, {"name": "validation", "num_bytes": 268930, "num_examples": 744}, {"name": "test", "num_bytes": 456850, "num_examples": 1854}], "download_size": 432854, "dataset_size": 2388064}, {"config_name": "lid_msaea", "features": [{"name": "idx", "dtype": "int32"}, {"name": "words", "sequence": "string"}, {"name": "lid", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 3804156, "num_examples": 8464}, {"name": "validation", "num_bytes": 490566, "num_examples": 1116}, {"name": "test", "num_bytes": 590488, "num_examples": 1663}], "download_size": 803806, "dataset_size": 4885210}, {"config_name": "lid_nepeng", "features": [{"name": "idx", "dtype": "int32"}, {"name": "words", "sequence": "string"}, {"name": "lid", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 2239014, "num_examples": 8451}, {"name": "validation", "num_bytes": 351649, "num_examples": 1332}, {"name": "test", "num_bytes": 620512, "num_examples": 3228}], "download_size": 545342, "dataset_size": 3211175}, {"config_name": "pos_spaeng", "features": [{"name": "idx", "dtype": "int32"}, {"name": "words", "sequence": "string"}, {"name": "lid", "sequence": "string"}, {"name": "pos", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 5467832, "num_examples": 27893}, {"name": "validation", "num_bytes": 840593, "num_examples": 4298}, {"name": "test", "num_bytes": 1758626, "num_examples": 10720}], "download_size": 819657, "dataset_size": 8067051}, {"config_name": "pos_hineng", "features": [{"name": "idx", "dtype": "int32"}, {"name": "words", "sequence": "string"}, {"name": "lid", "sequence": "string"}, {"name": "pos", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 537541, "num_examples": 1030}, {"name": "validation", "num_bytes": 80886, "num_examples": 160}, {"name": "test", "num_bytes": 131192, "num_examples": 299}], "download_size": 113872, "dataset_size": 749619}, {"config_name": "ner_spaeng", "features": [{"name": "idx", "dtype": "int32"}, {"name": "words", "sequence": "string"}, {"name": "lid", "sequence": "string"}, {"name": "ner", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 9836312, "num_examples": 33611}, {"name": "validation", "num_bytes": 2980990, "num_examples": 10085}, {"name": "test", "num_bytes": 6530956, "num_examples": 23527}], "download_size": 3075520, "dataset_size": 19348258}, {"config_name": "ner_msaea", "features": [{"name": "idx", "dtype": "int32"}, {"name": "words", "sequence": "string"}, {"name": "ner", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 3887684, "num_examples": 10103}, {"name": "validation", "num_bytes": 431414, "num_examples": 1122}, {"name": "test", "num_bytes": 367310, "num_examples": 1110}], "download_size": 938671, "dataset_size": 4686408}, {"config_name": "ner_hineng", "features": [{"name": "idx", "dtype": "int32"}, {"name": "words", "sequence": "string"}, {"name": "lid", "sequence": "string"}, {"name": "ner", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 474639, "num_examples": 1243}, {"name": "validation", "num_bytes": 121403, "num_examples": 314}, {"name": "test", "num_bytes": 185220, "num_examples": 522}], "download_size": 141285, "dataset_size": 781262}, {"config_name": "sa_spaeng", "features": [{"name": "idx", "dtype": "int32"}, {"name": "words", "sequence": "string"}, {"name": "lid", "sequence": "string"}, {"name": "sa", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3587783, "num_examples": 12194}, {"name": "validation", "num_bytes": 546692, "num_examples": 1859}, {"name": "test", "num_bytes": 1349407, "num_examples": 4736}], "download_size": 1031412, "dataset_size": 5483882}]}
TAGS
#region-us 

Dataset Card for "lince"
========================


Table of Contents
-----------------


* Dataset Description
	+ Dataset Summary
	+ Supported Tasks and Leaderboards
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Dataset Creation
	+ Curation Rationale
	+ Source Data
	+ Annotations
	+ Personal and Sensitive Information
* Considerations for Using the Data
	+ Social Impact of Dataset
	+ Discussion of Biases
	+ Other Known Limitations
* Additional Information
	+ Dataset Curators
	+ Licensing Information
	+ Citation Information
	+ Contributions


Dataset Description
-------------------


* Homepage: URL
* Repository:
* Paper:
* Point of Contact:
* Size of downloaded dataset files: 9.09 MB
* Size of the generated dataset: 56.42 MB
* Total amount of disk used: 65.52 MB


### Dataset Summary


LinCE is a centralized Linguistic Code-switching Evaluation benchmark
(URL that contains data for training and evaluating
NLP systems on code-switching tasks.


### Supported Tasks and Leaderboards


### Languages


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.


#### 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.


#### 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.


#### 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.


#### 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.


### 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



Dataset Creation
----------------


### Curation Rationale


### Source Data


#### Initial Data Collection and Normalization


#### Who are the source language producers?


### Annotations


#### Annotation process


#### Who are the annotators?


### Personal and Sensitive Information


Considerations for Using the Data
---------------------------------


### Social Impact of Dataset


### Discussion of Biases


### Other Known Limitations


Additional Information
----------------------


### Dataset Curators


### Licensing Information


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.



### Dataset Summary


LinCE is a centralized Linguistic Code-switching Evaluation benchmark
(URL that contains data for training and evaluating
NLP systems on code-switching tasks. ### Supported Tasks and Leaderboards ### Languages


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. #### 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. #### 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. #### 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. #### 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. ### 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



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information


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.
TAGS
#region-us 
 ### Dataset Summary


LinCE is a centralized Linguistic Code-switching Evaluation benchmark
(URL that contains data for training and evaluating
NLP systems on code-switching tasks. ### Supported Tasks and Leaderboards ### Languages


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. #### 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. #### 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. #### 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. #### 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. ### 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



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information


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.