amkdg/

collectivecognition-Embeddings

Embeddings of the CollectiveCognition chats-data snapshots (2023-09-22, 2023-09-27, 2023-10-16), produced with amkdg/Qwen3-Embedding-8B-NVFP4 — 4096-d, L2-normalized float16 (cosine = dot product).

343 conversations → 391 vectors emb.npy — float16 [391, 4096] meta.parquet — one row per vector, aligned with emb.npy: id, uuid, tag, chunk, n_chunks, count, source_ref manifest.json — counts and provenance

import numpy as np… See the full description on the dataset page: https://huggingface.co/datasets/amkdg/collectivecognition-Embeddings.