Datasets:
license: mit
task_categories:
- translation
dataset_info:
features:
- name: wolof
dtype: string
- name: french
dtype: string
splits:
- name: train
num_bytes: 742901
num_examples: 12084
download_size: 523609
dataset_size: 742901
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
Wolof Dataset for Open LLM Fine-Tuning
This project provides a dataset for fine-tuning language models (LLMs) in Wolof. It uses a Python script to create a JSONLines (.jsonl
) file from a list of words, retrieving detailed information from a Wolof-French dictionary API.
Dataset Details
Dataset Description
- Curated by: Mamadou Diagne
- Language(s) (NLP): Wolof to French
- License: MIT
Dataset Sources [optional]
- Repository: [More Information Needed]
The data is sourced from the "Corpus Oraux du LLACAN," which provides comprehensive Wolof-French dictionary data. You can access the API for this dictionary at:
- API Endpoint: https://corporan.huma-num.fr
Uses
Direct Use
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Out-of-Scope Use
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Dataset Structure
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Dataset Creation
Curation Rationale
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Source Data
Data Collection and Processing
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Who are the source data producers?
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Annotations [optional]
Annotation process
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Who are the annotators?
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Personal and Sensitive Information
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Bias, Risks, and Limitations
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Recommendations
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
Citation [optional]
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APA:
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Glossary [optional]
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Dataset Card Authors [optional]
Mamadou Diagne