dataset_name string | rag_columns list | question_col string | answer_col string | split string | data_config null | total_kb_docs int64 | vismem_dim int64 | vismem_width int64 | vismem_height int64 | kb_repo string |
|---|---|---|---|---|---|---|---|---|---|---|
nohurry/Opus-4.6-Reasoning-3000x-filtered | [
"problem",
"thinking"
] | problem | solution | train | null | 2,326 | 384 | 1,984 | 1,984 | broadfield-dev/gemma-3-270m-opus-reasoning-1-vismem-kb-0516-0810 |
VisMem Knowledge Base (2326 entries, 1984x1984px)
Load with:
import requests
from vismem_core import VisMem
data = requests.get(
"https://huggingface.co/datasets/broadfield-dev/gemma-3-270m-opus-reasoning-1-vismem-kb-0516-0810/resolve/main/vismem.png",
headers={"Authorization": "Bearer <TOKEN>"}).content
mem = VisMem.from_png_bytes(data)
results = mem.search(your_embedding, k=3)
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