YAML tags: null
language:
- ca
license:
- cc-by-nc-nd-4.0
multilinguality:
- monolingual
pretty_name: IntruCAT
Dataset Card for Instrucat
Dataset Description
- Homepage Projecte AINA
- Repository HuggingFace
- Point of Contact: langtech@bsc.es
Dataset Summary
InstruCat is a dataset consisting of 216,826 instructions in Catalan.
It contains data converted to instructions format from the following datasets:
- caBreu : The instructions were created in form of summarization tasks. There are 2 types of summarization categories in the dataset: extreme and abstractive. The extreme one summarizes text into one sentence and the abstractive into shorter texts around 3-5 sentences.
- CatalanQA : The instructions correspond to questions in CatalanQA.
- CaWikiTC : The instructions were created in 2 different ways of text classification tasks with the distribution 70% - 30%. The first way is to define a category of a given text. The second way is to answer where a given text belongs to a certain category in a form of alternative question.
- ceil : The instructions were created in 2 different ways of Named Entity Recognition tasks with the distribution 70% - 30%. The first way is to list all the found Named Entities. The second way is to list only Named Entities of a particular category.
- CoqCat : The instructions correspond to the first questions of CoqCat conversations.
- GuiaCat : The instructions were created in form of sentiment analysis tasks.
- IntoxiCat : The instructions were created in form of binary classification tasks. The task is to define wether a given text is toxic or no.
- NLUCat : The instructions were created in form of phrase generation tasks to express a given intent.
- Parafraseja : The instructions were created in form of text generation tasks. The task is to generate a text equivalent by meaning to a given text.
- PAWS-ca : The instructions were created in form of text generation tasks. The task is to generate a text equivalent by meaning to a given text.
- sts-ca : The instructions were created in form of text generation tasks. The task is to generate a text equivalent by meaning to a given text.
- teca : The instructions were created in 2 different ways with the distribution 70% - 30%. The first way is in form of entailment generation tasks. The second way is to define whether one given text is an entailment of another given text.
- WikiCat : The instructions were created in 2 different ways of text classification tasks with the distribution 70% - 30%. The first way is to define a category of a given text. The second way is to answer where a given text belongs to a certain category in a form of alternative question.
Supported Tasks and Leaderboards
Training LLMs
Languages
This dataset is in Catalan (ca-ES).
Dataset Structure
Data Instances
Three JSONL files, one for each split.
An example of 'test' looks as follows:
{
"ID": "Parafraseja_8977",
"instruction": "Reescriu aquesta frase sense alterar-ne el significat:",
"context": "Es tracta d'un tipus que ens falla ja que a ell li falla aquesta falta d'interès per tal d'exercir el domini sobre l'ambient.",
"response": "Es tracta d'un tipus que ens falla perquè a ell li falla aquesta falta d'interès per exercir el domini sobre l'ambient.",
"category": "paraphrasis"
}
Category Distibution
| Category | Number of instructions | % |
|---|---|---|
| ner | 59410 | 27.39% |
| paraphrasis | 34695 | 16.00% |
| text_classification | 33393 | 15.40% |
| toxicity | 29809 | 13.74% |
| qa | 27427 | 12.64% |
| phrase_generation | 11873 | 5.47% |
| entailment_generation | 6354 | 2.93% |
| sentiment_analysis | 5750 | 2.65% |
| abstractive_summarization | 2999 | 1.38% |
| extreme_summarization | 2999 | 1.38% |
| entailment | 2117 | 0.97% |
Data Splits
- train.jsonl: 165100 instructions
- validation.jsonl: 25351 instructions
- test.jsonl: 26375 instructions
Additional Information
Dataset Curators
Language Technologies Unit (langtech@bsc.es) at the Barcelona Supercomputing Center (BSC).
This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the project ILENIA with reference 2022/TL22/00215337, 2022/TL22/00215336, 2022/TL22/00215335 y 2022/TL22/00215334
Licensing Information
InstruCAT contains data converted to instructions format from datasets with various licenses. The whole work is licensed under the most restrictive license in the corpus, which is Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International license.
Citation Information
[N/A]
Contributions
[N/A]