IKEA Car Manuals for Expert Task Adaptation

This dataset supports the FETA research paper, which was published as a main conference paper at NeurIPS 2022. It is used for specializing foundation models for expert task applications, with the official resources available on a dedicated GitHub repository.

Use Cases

• Fine-tune language models on IKEA and car manual text for expert task adaptation, as described in the NeurIPS 2022 paper.
• Benchmark model performance on specialized tasks derived from the IKEA and car manual content.
• Analyze the structure and language of expert manuals to inform the design of specialized foundation models.

Strengths

• Associated with a peer-reviewed NeurIPS 2022 main conference paper.
• Linked to a public GitHub repository containing code and model checkpoints.
• Last updated on March 14, 2024.

Limitations

• The specific data format, size, and column structure are not described in the input.
• The dataset's scope and content are defined by a specific research paper, limiting generalizability.

Provenance

Source

Author 'alfassy' on Hugging Face, associated with the FETA research paper.

Collection Method

Created for the FETA research project on specializing foundation models.

Freshness

Last updated on 2024-03-14.