## Dataset Description

Spanish-BFF is the first Spanish AI-generated dictionary using GPT3.

- **Paper:** [Spanish Built Factual Freectianary (Spanish-BFF): the first IA-generated free dictionary](https://arxiv.org/abs/2302.12746)
- **Point of Contact:** oscar.garcia@dezzai.com , alfonso.ardoiz@dezzai.com


### Dataset Summary

Spanish-BFF contains a total of 66353 lemmas with its definitions (only one definiton per lemma).

These lemmas correspond to nominal, adjetival, verbal and adverbial classes.


### Languages

- Spanish (es)


## Dataset Structure

### Data Instances

<pre>
{
'id': 'b0o8', 
'lemma': 'fomo', 
'definition': 'FOMO es un acrónimo de "miedo a perderse", y se refiere a la ansiedad que uno puede sentir cuando ve que otros están disfrutando de algo que él o ella no está haciendo.', 
}
</pre>

### Data Fields

<pre>
{
  id: str
  lemma: str
  definition: str
}
</pre>

### Data Splits

| Split | Size |
| ------------- | ------------- |
| `train` | 66,353 |


## Content analysis

### Number of nouns, adjetives, adverbs and verbs

* Number of nouns: 38093 (57.41 %)
* Number of adjetives: 17424 (26.26 %)
* Number of verbs: 9296 (14.01 %)
* Number of adverbs: 1540 (2.32 %)


### Statistics

Uncertainties provided by a coverage factor k=1 within the standard deviation of the population of definitions.

* Total words in definitions: 551878
* Average words/definition: 8.3 +/- 5.1 words
* Average characters/definitions: 49.1 +/- 28.4 characters


## Dataset Creation

### Prompting

Each one of the definitons were generated in batches using the following prompt:
<pre>
Generate in Spanish a definition of the word "[word]"
</pre>

## Considerations for Using the Data

### Social Impact of Dataset

This corpus is the first open-source complete dictionary produced by LLMs. We intend to contribute to a better understanding and development of NLP and promote responsible use. 

### Biases and Hallucinations

This version has not been postprocessed to mitigate potential errors, biases or hallucinations the AI model could have generated.


## Citation 

```
@misc{https://doi.org/10.48550/arxiv.2302.12746,
  doi = {10.48550/ARXIV.2302.12746},
  url = {https://arxiv.org/abs/2302.12746},
  author = {Ortega-Martín, Miguel and García-Sierra, Óscar and Ardoiz, Alfonso and Armenteros, Juan Carlos and Álvarez, Jorge and Alonso, Adrián},
  keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {Spanish Built Factual Freectianary (Spanish-BFF): the first AI-generated free dictionary},
  publisher = {arXiv},
  year = {2023},
  copyright = {Creative Commons Attribution 4.0 International}
}
```
annotations_creators:AI-generated multilinguality:monolingual size_categories:10K<n<100K language:es license:gpl-3.0 arxiv:2302.12746 region:us
{"annotations_creators": ["AI-generated"], "language": ["es"], "license": "gpl-3.0", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "pretty_name": "Spanish Built Factual Freectianary (Spanish-BFF)"}
TAGS
#annotations_creators-AI-generated #multilinguality-monolingual #size_categories-10K<n<100K #language-Spanish #license-gpl-3.0 #arxiv-2302.12746 #region-us 

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


Spanish-BFF is the first Spanish AI-generated dictionary using GPT3.


* Paper: Spanish Built Factual Freectianary (Spanish-BFF): the first IA-generated free dictionary
* Point of Contact: URL@URL , URL@URL


### Dataset Summary


Spanish-BFF contains a total of 66353 lemmas with its definitions (only one definiton per lemma).


These lemmas correspond to nominal, adjetival, verbal and adverbial classes.


### Languages


* Spanish (es)


Dataset Structure
-----------------


### Data Instances



```

{
'id': 'b0o8', 
'lemma': 'fomo', 
'definition': 'FOMO es un acrónimo de "miedo a perderse", y se refiere a la ansiedad que uno puede sentir cuando ve que otros están disfrutando de algo que él o ella no está haciendo.', 
}

```

### Data Fields



```

{
  id: str
  lemma: str
  definition: str
}

```

### Data Splits



Content analysis
----------------


### Number of nouns, adjetives, adverbs and verbs


* Number of nouns: 38093 (57.41 %)
* Number of adjetives: 17424 (26.26 %)
* Number of verbs: 9296 (14.01 %)
* Number of adverbs: 1540 (2.32 %)


### Statistics


Uncertainties provided by a coverage factor k=1 within the standard deviation of the population of definitions.


* Total words in definitions: 551878
* Average words/definition: 8.3 +/- 5.1 words
* Average characters/definitions: 49.1 +/- 28.4 characters


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


### Prompting


Each one of the definitons were generated in batches using the following prompt:



```

Generate in Spanish a definition of the word "[word]"

```

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


### Social Impact of Dataset


This corpus is the first open-source complete dictionary produced by LLMs. We intend to contribute to a better understanding and development of NLP and promote responsible use.


### Biases and Hallucinations


This version has not been postprocessed to mitigate potential errors, biases or hallucinations the AI model could have generated.



### Dataset Summary


Spanish-BFF contains a total of 66353 lemmas with its definitions (only one definiton per lemma).


These lemmas correspond to nominal, adjetival, verbal and adverbial classes. ### Languages


* Spanish (es)


Dataset Structure
----------------- ### Data Instances



```

{
'id': 'b0o8', 
'lemma': 'fomo', 
'definition': 'FOMO es un acrónimo de "miedo a perderse", y se refiere a la ansiedad que uno puede sentir cuando ve que otros están disfrutando de algo que él o ella no está haciendo.', 
}

``` ### Data Fields



```

{
  id: str
  lemma: str
  definition: str
}

``` ### Data Splits



Content analysis
---------------- ### Number of nouns, adjetives, adverbs and verbs


* Number of nouns: 38093 (57.41 %)
* Number of adjetives: 17424 (26.26 %)
* Number of verbs: 9296 (14.01 %)
* Number of adverbs: 1540 (2.32 %) ### Statistics


Uncertainties provided by a coverage factor k=1 within the standard deviation of the population of definitions.


* Total words in definitions: 551878
* Average words/definition: 8.3 +/- 5.1 words
* Average characters/definitions: 49.1 +/- 28.4 characters


Dataset Creation
---------------- ### Prompting


Each one of the definitons were generated in batches using the following prompt:



```

Generate in Spanish a definition of the word "[word]"

```

Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset


This corpus is the first open-source complete dictionary produced by LLMs. We intend to contribute to a better understanding and development of NLP and promote responsible use. ### Biases and Hallucinations


This version has not been postprocessed to mitigate potential errors, biases or hallucinations the AI model could have generated.
TAGS
#annotations_creators-AI-generated #multilinguality-monolingual #size_categories-10K<n<100K #language-Spanish #license-gpl-3.0 #arxiv-2302.12746 #region-us 
 ### Dataset Summary


Spanish-BFF contains a total of 66353 lemmas with its definitions (only one definiton per lemma).


These lemmas correspond to nominal, adjetival, verbal and adverbial classes. ### Languages


* Spanish (es)


Dataset Structure
----------------- ### Data Instances



```

{
'id': 'b0o8', 
'lemma': 'fomo', 
'definition': 'FOMO es un acrónimo de "miedo a perderse", y se refiere a la ansiedad que uno puede sentir cuando ve que otros están disfrutando de algo que él o ella no está haciendo.', 
}

``` ### Data Fields



```

{
  id: str
  lemma: str
  definition: str
}

``` ### Data Splits



Content analysis
---------------- ### Number of nouns, adjetives, adverbs and verbs


* Number of nouns: 38093 (57.41 %)
* Number of adjetives: 17424 (26.26 %)
* Number of verbs: 9296 (14.01 %)
* Number of adverbs: 1540 (2.32 %) ### Statistics


Uncertainties provided by a coverage factor k=1 within the standard deviation of the population of definitions.


* Total words in definitions: 551878
* Average words/definition: 8.3 +/- 5.1 words
* Average characters/definitions: 49.1 +/- 28.4 characters


Dataset Creation
---------------- ### Prompting


Each one of the definitons were generated in batches using the following prompt:



```

Generate in Spanish a definition of the word "[word]"

```

Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset


This corpus is the first open-source complete dictionary produced by LLMs. We intend to contribute to a better understanding and development of NLP and promote responsible use. ### Biases and Hallucinations


This version has not been postprocessed to mitigate potential errors, biases or hallucinations the AI model could have generated.
passage: TAGS
#annotations_creators-AI-generated #multilinguality-monolingual #size_categories-10K<n<100K #language-Spanish #license-gpl-3.0 #arxiv-2302.12746 #region-us 
### Dataset Summary


Spanish-BFF contains a total of 66353 lemmas with its definitions (only one definiton per lemma).


These lemmas correspond to nominal, adjetival, verbal and adverbial classes.### Languages


* Spanish (es)


Dataset Structure
-----------------### Data Instances



```

{
'id': 'b0o8', 
'lemma': 'fomo', 
'definition': 'FOMO es un acrónimo de "miedo a perderse", y se refiere a la ansiedad que uno puede sentir cuando ve que otros están disfrutando de algo que él o ella no está haciendo.', 
}

```### Data Fields



```

{
  id: str
  lemma: str
  definition: str
}

```### Data Splits



Content analysis
----------------### Number of nouns, adjetives, adverbs and verbs


* Number of nouns: 38093 (57.41 %)
* Number of adjetives: 17424 (26.26 %)
* Number of verbs: 9296 (14.01 %)
* Number of adverbs: 1540 (2.32 %)### Statistics


Uncertainties provided by a coverage factor k=1 within the standard deviation of the population of definitions.


* Total words in definitions: 551878
* Average words/definition: 8.3 +/- 5.1 words
* Average characters/definitions: 49.1 +/- 28.4 characters


Dataset Creation
----------------### Prompting


Each one of the definitons were generated in batches using the following prompt:



```

Generate in Spanish a definition of the word "[word]"

```

Considerations for Using the Data
---------------------------------### Social Impact of Dataset


This corpus is the first open-source complete dictionary produced by LLMs. We intend to contribute to a better understanding and development of NLP and promote responsible use.