LLAMA2 Legal Dataset 4.4k Instructions
Dataset containing more than 4,000 legal instructions that can be used to train or adjust a language model in the field of law.
Description
LLAMA2 Legal Dataset 4.4k Instructions is a data set composed of 4,394 legal textual examples, optimized for tuning-instruction tasks. It is designed to strengthen the skills of LLM models on legal content, including understanding, generating, and analyzing legal texts.
What is this dataset for?
- Form or refine models in legal contexts (e.g. summary, explanation, Q&A)
- Simulate real use cases of consultation or writing assisted by AI in law
- Evaluate the accuracy or robustness of models in regulated areas
Can it be enriched or improved?
Yes. It is possible to add anonymized real cases, to translate instructions for other jurisdictions, or to enrich the data with context elements (e.g. type of law, country, date). A thematic annotation could also improve the quality of supervised training.
🔎 In summary
🧠 Recommended for
- Lawyers exploring AI
- Specialized LLM developers
- Legaltech projects
🔧 Compatible tools
- Hugging Face Transformers
- LoRa
- OpenChat
- LLAMA2/3
- LangChain
💡 Tip
To broaden its relevance, group this dataset with other legal games (e.g. case law, annotated laws) during pre-processing.
Frequently Asked Questions
Does this dataset cover multiple legal systems?
Not specified, but the content seems generic. However, it can be adapted or supplemented to address a specific right.
Is it enough to create a comprehensive legal model?
No, by itself, it is too small to pre-train a model, but it is very suitable for fine-tuning or evaluation.
Can this dataset be combined with other legal sources?
Yes, it is recommended to complement it with other legal bodies to improve robustness and thematic coverage.
