datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SEMM-Latent-Telemetry
SEMM-Latent-Telemetry
Bare-metal hardware telemetry and SNN latent space routing data for neuromorphic quantization research. This dataset documents the discovery of Semantic Attractor Clustering — that a Spiking Neural Network physically routes different semantic concepts (abstract language vs code syntax vs math logic) into distinct, repeatable biological pathways when L2 Normalization is applied to LLM embeddings.
Hub ID: rmems/SEMM-Latent-TelemetryNames: SEMM = Spiking… See the full description on the dataset page: https://huggingface.co/datasets/rmems/SEMM-Latent-Telemetry.latent-data
Latent-SFT open-domain data
This repository is the portable data bundle for LiAi16/latent-sft. It keeps
the raw snapshots, the first-generation OSS-COT archive, the second-generation
GLM-COT data used for formal training, a deterministic SFT mixture, complete
raw evaluation benchmarks, normalized evaluation trajectories, and the partial
Qwen3-4B SuperGPQA baseline used for exact resumption.
Canonical Hub repository: liaialley/latent-data (the supplied token belongs
to the… See the full description on the dataset page: https://huggingface.co/datasets/liaialley/latent-data.LATENT-SWITCH-69K
LATENT-SWITCH-69K
This dataset contains processed sft samples for LaTER latent reasoning training.
Dataset Summary
Samples: 69,745
Format: Parquet
File: sft_train.parquet
Columns: 31
Generated at: 2026-04
Source preprocessing mode: sft
Token counter mode: Hugging Face tokenizer
Reference tokenizer path used during preprocessing: https://huggingface.co/Qwen/Qwen3-14B
Data Files
File
Description
sft_train.parquet
Main SFT training split in Parquet… See the full description on the dataset page: https://huggingface.co/datasets/Tioe/LATENT-SWITCH-69K.