datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Synthetic-Persona-Chat-Qwen-Image-2512-originalSynthetic-Persona-Chat-Mapping_1k-FLUX-enhanced-no-redundancySynthetic-Persona-Chat-Mapping_1k-FLUX-original-no-redundancySynthetic-Persona-Chat-Qwen-Image-2512Synthetic-Persona-Chat-Mapping_1k-ERNIE-original-no-redundancySynthetic-Persona-Chat-Mapping_1k-ERNIE-originalSynthetic-Persona-Chat-Mapping_1k-Qwen-enhanced-no-redundancySynthetic-Persona-Chat-Mapping_1k-Qwen-enhancedSynthetic-Persona-Chat-Mapping_1k-Qwen-originalSynthetic-Persona-Chat-Mapping_1k-ERNIE-enhanced-no-redundancySynthetic-Persona-Chat-Mapping_1k-FLUX-originalSynthetic-Persona-Chat-Mapping_10-ERNIESynthetic-Persona-Chat-Mapping_10-Qwen-Image-enhancedSynthetic-Persona-Chat-Mapping_1k-ERNIE-enhancedSynthetic-Persona-Chat-Mapping_1k-Qwen-original-no-redundancySynthetic-Persona-Chat-Mapping_10-FLUXSynthetic-Persona-Chat-Mapping_10-FLUX-enhancedSynthetic-Persona-Chat-Mapping_10-Qwen-Image-originalSynthetic-Persona-Chat-Mapping_1k-FLUX-enhancedSynthetic-Persona-Chat-Mapping_10-ERNIE-enhancedvisual_chat_cleaned
visual_chat_cleaned
The visual_chat__x family of the ElliotVL supervised-fine-tuning pool, after VLM cleaning.
images
23,444
QA turns
147,867
answers rewritten by the cleaning pass
0
QA created by the cleaning pass (new_qa)
not measured for this family
shards
23
How this was cleaned
A vision-language model read each image together with its QA and judged the item. The pass is
not a filter that only removes rows — it rewrites answers it… See the full description on the dataset page: https://huggingface.co/datasets/elliot-mllm/visual_chat_cleaned.
