Datasets:

orai-nlp
/

ZelaiHandi

---
license: cc
task_categories:
- text-generation
language:
- eu
tags:
- Basque
- Euskara
pretty_name: Zelai Haundi
size_categories:
- 100M<n<1B
---
# Dataset Card for Zelai Haundi

<!-- Provide a quick summary of the dataset. -->
Zelai-Haundi: A Big Open Dataset to Feed the next Gen of Basque LLMs

This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->

- **Curated by:** Orai NLP Technologies
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** EU
- **License:** CC
- 

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->

[More Information Needed]

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->

[More Information Needed]

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

The corpus is released in jsonl format. Each document contains the following properties:


```json
{
        "source": "source", 
        "license": "document license", 
        "lang": "eu", 
        "url": "document url", 
        "title": "document title", 
        "author": "document author if known, source otherwise", 
        "date": "yyyy-mm-dd", 
        "text": "document content, ready to use raw text. Title text is included as well.",
        "domain": "document domain. one of ['news', 'administrative', 'wikipedia', 'science', 'subtitles', 'literature', 'videogames']"
}
```



[More Information Needed]

## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

[More Information Needed]

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
This is a corpus of Basque language. It contains 559.380.531 raw tokens. It was gathered from various web sources and contains data up to 2024/02/23. 
The corpus is comprised of documents from various sources. All documents included have a free license, but each source has its own license. The following table summarizes corpus statistics and license information. 


| **source**         | **tokens (M)** | **license**               |
|-------------------:|---------------:|--------------------------:|
| tokikom            | 165,75         | cc-by / cc-by-sa          |
| berria + egunkaria | 178,77         | cc-by-sa 4.0              |
| administrative     | 92,6           | public domain             |
| Wikipedia          | 63,8           | cc0                       |
| addi               | 17             | cc-by-nc-sa / cc-by-nc-nd |
| argia              | 17,44          | cc-by-sa 4.0              |
| subtitles          | 11             | cc-by-sa                  |
| zientzia.eus       | 8,3            | cc-by-sa                  |
| susa               | 5,8            | cc-by-sa 3.0              |
| zientzia kaiera    | 2              | cc-by-sa 3.0              |
| ekaia              | 1,8            | cc-by-nc-nd               |
| ikergazte          | 1,7            | cc-by-sa 3.0              |
| game-erauntsia     | 0,40           | cc-by-sa 4.0              |
| **Total**          | **566,36**     |                           |



#### Data Collection and Processing

Data collection efforts were performed between 2024/01/01-2024/02/23.

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

[More Information Needed]

#### Who are the source data producers?

<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->

[More Information Needed]

#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

[More Information Needed]

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->
This 

Furthermore, text coming from susa (literature) and subtitles sources, may content hate speech, slurs or explicit language.
We decided to include them in the corpus, to ensure that the corpus contains conversational data.
We did not perform any cleaning or censoring of those, since it might be needed for tasks like hate speech detection.
We suggest filtering those before pretraining an LLM for end tasks like interactive chat.

[More Information Needed]

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

We plan to release a paper soon, but, for now, please, cite as follows:

**BibTeX:**

@misc{ZelaiHaundi,
 title     = "{Zelai-Haundi: A Big Open Dataset to Feed the next Gen of Basque LLMs}",
 author    = "{Iñaki, Gorka, Xabi, Ander}",
 url       = "https://huggingface.co/datasets/orai-nlp/ZelaiHaundi",    
 year = 2024 }

## More Information [optional]

[More Information Needed]

## Dataset Card Contact

- Iñaki San Vicente (i.sanvicente@orai.eus)
- Gorka Urbizu (g.urbizu@orai.eus)