datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mix-culture-food-train
Mix Culture Food Dataset — Train Split
This repository contains the training split for the mix-culture food fine-tuning project. It includes:
train_dataset_hf.jsonl: 5,768 multimodal training samples.
images/: Only the images referenced in the JSONL, organized by their source dataset.
Each JSONL entry follows the Swift "messages + images" schema. Questions mention either the food itself or the left food (for multi-dish compositions). Answers are deterministic lookups from… See the full description on the dataset page: https://huggingface.co/datasets/EunsuKim/mix-culture-food-train.mix-culture-food-test
Mix Culture Food Dataset — Test Split
Evaluation-only split corresponding to the mix-culture food fine-tuning corpus.
test_dataset_hf.jsonl: 7,092 validation samples.
images/: Only the referenced evaluation images, organized by source dataset.
Structure mirrors the train split; each line in the JSONL contains messages, images, and metadata fields compatible with Swift's AutoPreprocessor.
Directory Layout
.
├── README.md
├── test_dataset_hf.jsonl
└── images/
├──… See the full description on the dataset page: https://huggingface.co/datasets/EunsuKim/mix-culture-food-test.