datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mj1-training-clean
MJ1 Training Data
Training data for MJ1 (MultiModal Judge 1) - a multimodal reward model for evaluating vision-language model outputs.
Dataset Summary
MJ1 Training Data is a curated, multi-source preference dataset designed for training a multimodal judge capable of evaluating responses across text and image modalities. Every datapoint contains at least one image and covers three distinct evaluation scenarios:
Prompt image + text responses (reason) - Given an image and a… See the full description on the dataset page: https://huggingface.co/datasets/haizelabs/mj1-training-clean.laser_gui_grounding_training_datamadqa-training
Chrisyichuan/madqa-training
MADQA document QA contrastive training data with hard negatives.
Contents
madqa_converted.jsonl — query-image pairs with hard negatives
images/ — all referenced images
Each metadata row:
{
"query": "...",
"chunk_path": "images/...",
"neg_chunk_paths": ["images/...", "images/..."],
"source_positive_rank": 0,
"source_positive_score": 0.0,
"source_dataset": "moca"
}
Summary
rows: 1840
unique images: 3598
avg… See the full description on the dataset page: https://huggingface.co/datasets/Chrisyichuan/madqa-training.tamil_nadu_v4_trainingDiff-training-testmoca-colpali-training
Chrisyichuan/moca-colpali-training
MOCA ColPali contrastive training data with hard negatives.
Contents
moca_colpali_converted.jsonl — query-image pairs with hard negatives
images/ — all referenced images
Each metadata row:
{
"query": "...",
"chunk_path": "images/...",
"neg_chunk_paths": ["images/...", "images/..."],
"source_positive_rank": 0,
"source_positive_score": 0.0,
"source_dataset": "moca"
}
Summary
rows: 118195
unique… See the full description on the dataset page: https://huggingface.co/datasets/Chrisyichuan/moca-colpali-training.moca-visrag-ind-training
Chrisyichuan/moca-visrag-ind-training
MOCA VisRAG independent-split contrastive training data with hard negatives.
Contents
moca_visrag_ind_converted.jsonl — query-image pairs with hard negatives
images/ — all referenced images
Each metadata row:
{
"query": "...",
"chunk_path": "images/...",
"neg_chunk_paths": ["images/...", "images/..."],
"source_positive_rank": 0,
"source_positive_score": 0.0,
"source_dataset": "moca"
}
Summary
rows: 122752… See the full description on the dataset page: https://huggingface.co/datasets/Chrisyichuan/moca-visrag-ind-training.moca-visrag-syn-training
Chrisyichuan/moca-visrag-syn-training
MOCA VisRAG synthetic-split contrastive training data with hard negatives.
Contents
moca_visrag_syn_converted.jsonl — query-image pairs with hard negatives
images/ — all referenced images
Each metadata row:
{
"query": "...",
"chunk_path": "images/...",
"neg_chunk_paths": ["images/...", "images/..."],
"source_positive_rank": 0,
"source_positive_score": 0.0,
"source_dataset": "moca"
}
Summary
rows: 239206… See the full description on the dataset page: https://huggingface.co/datasets/Chrisyichuan/moca-visrag-syn-training.StableCascade_Lora_Training_samplecineleum-training-data