datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
human-motion-tracking-deeplabcutThis dataset is used to adapt DeepLabCut for Human motion tracking.
Structure of the dataset
videos contains 100+ videos of 4 candidates recorded during a game of darts.
labeled-data contains labels on the corresponding frames of the videos. These labels are used to adapt DeepLabCut for human motion tracking. Under labeled-data there are 2 folders for every video.
video_name has all the relevant frames extracted from the video, xy coordinates of the labels in the csv file and the… See the full description on the dataset page: https://huggingface.co/datasets/GT-Neuronext/human-motion-tracking-deeplabcut.neuron-datasae-evalspostgresql-llm
postgresql-llm
A pure PostgreSQL dataset for training and evaluating LLMs on PostgreSQL SQL and PL/pgSQL. Every row is a (question, schema, SQL) triplet with rich metadata for filtering and analysis.
Dataset Summary
postgresql-llm is a pure PostgreSQL dataset: SQL and PL/pgSQL only, with metadata for difficulty, category, and source.
Metric
Value
Total rows
211,539
PostgreSQL-specific rows
11,998 (5.7%)
Schema fill rate
82.2%
Explanation fill rate
17.8%… See the full description on the dataset page: https://huggingface.co/datasets/neurondb/postgresql-llm.NeuronSpark-V1
NeuronSpark-V1 Pretraining Dataset
Bilingual (English + Chinese) pretraining corpus for NeuronSpark, a bio-inspired Spiking Neural Network language model.
Dataset Summary
Metric
Value
Total documents
17,174,734
Estimated tokens
~14.5B
Languages
English (55%), Chinese (42%), Bilingual Math (3%)
Format
Parquet (35 shards, ~39 GB)
Columns
text (string), source (string)
Sources & Composition
Source
Documents
Ratio
Est. Tokens… See the full description on the dataset page: https://huggingface.co/datasets/Brain2nd/NeuronSpark-V1.NeuronSpark-Pretrain-v3
NeuronSpark-Pretrain-v3
Bilingual pretraining corpus for NeuronSpark v3, a bio-inspired Spiking Neural
Network language model with selective PLIF neurons and dynamic per-token compute
budget (PonderNet-v3).
Composition
Metric
Value
Total documents
18.2 M
Estimated tokens
~20 B
Format
37 Parquet shards (~1 GB each, zstd)
Schema
text: string, source: string
Languages
EN 55.6%, ZH 28.1%, code 16.3%
Deduplication
All source sampling is weighted so each… See the full description on the dataset page: https://huggingface.co/datasets/Brain2nd/NeuronSpark-Pretrain-v3.neuron-dataneuron-dataneuron-datadatasets-cacheneuron_33Symptom2DiseaseUniSafeBenchdetails_Neuronovo__neuronovo-9B-v0.4
Dataset Card for Evaluation run of Neuronovo/neuronovo-9B-v0.4
Dataset automatically created during the evaluation run of model Neuronovo/neuronovo-9B-v0.4 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_Neuronovo__neuronovo-9B-v0.4.fci-neuron-simulations
FCI neuron simulations
The simulated input-output data of the 24 detailed compartmental neuron models compared in
Dendritic morphology and synaptic nonlinearities enhance functional complexity in human cortical neurons
Ido Aizenbud, Daniela Yoeli, David Beniaguev, Christiaan P. J. de Kock, Michael London, Idan Segev.
PNAS 123(28), e2533168123 (2026).
Code, neuron models and instructions: https://github.com/ido4848/FCI. The trained networks
that the paper's Functional Complexity… See the full description on the dataset page: https://huggingface.co/datasets/i-do-ai/fci-neuron-simulations.details_Neuronovo__neuronovo-7B-v0.3
Dataset Card for Evaluation run of Neuronovo/neuronovo-7B-v0.3
Dataset automatically created during the evaluation run of model Neuronovo/neuronovo-7B-v0.3 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_Neuronovo__neuronovo-7B-v0.3.neuronpedia-sae-concepts
Neuronpedia SAE Concepts
Complete extraction of all individual concepts from every Sparse Autoencoder (SAE) released on Neuronpedia, plus all public features from Anthropic's Towards Monosemanticity (2023) and Scaling Monosemanticity (2024) papers.
Quick Start
from datasets import load_dataset
# Full Neuronpedia dataset (77M rows, streaming recommended)
ds = load_dataset("hbe/neuronpedia-sae-concepts", split="train", streaming=True)
# Unique concepts with essential… See the full description on the dataset page: https://huggingface.co/datasets/hbe/neuronpedia-sae-concepts.neuron-scalpel-dataccdThe consumer compaint data set is derived from the consumer complaint database
for the purpose of benchmarking quantification / label shift algorithms. The
data set consists of records of compaints about consumer financial products and
services that the Consumer Financial Protection Bureau sent to companies for
response. Each record has a corresponding product / sub product field which can
be used as labels for text classification.NeuronSpark-SFT-Mixgaia-dr3-oa-neuron-xp-spectra
Gaia DR3 OA neuron XP spectra
This table contains the prototype BP/RP spectrum attached to each neuron in the 30 × 30 self-organising map produced by Gaia's Apsis Outlier Analysis module. Measured from the served table, every (neuron_id, xp_spectrum_prototype_wavelength) pair is unique across its 78,300 rows. Each of the 900 neurons has the same ordered grid of 87 wavelengths from 379.0935 to 1034.2460 nm. Neuron-level statistics and other attributes belong to Gaia's separate… See the full description on the dataset page: https://huggingface.co/datasets/astro-legacy-archive/gaia-dr3-oa-neuron-xp-spectra.pythia-12b-neuron-dataset-examples
pythia-12b-neuron-dataset-examples
This dataset contains the top 64 highest activating dataset examples for each
MLP neuron in Pythia-12b. The dataset examples are all 16 tokens long. See
https://confirmlabs.org/posts/dreaming.html for details.
Columns:
layer: the layer of the neuron
neuron: the index of the neuron
rank: the rank of the example
activation: the activation of the neuron on the example
position: the token position for which the neuron is maximally activated.
text: the… See the full description on the dataset page: https://huggingface.co/datasets/Confirm-Labs/pythia-12b-neuron-dataset-examples.flyeye-escape-neuron-v1
FlyEye Escape Neuron v1
A compact, reproducible neuron-level Drosophila escape-circuit graph derived
from the pinned MaleCNS source used by FlyEye.
Dataset summary
Graph
Neurons
Edges
Bytes
pinned source subset used by builder
70,000
798,715
9,864,604
FlyEye escape-neuron-v1
3,376
78,797
959,092
The compact graph contains:
126 LC4 / looming seed neurons;
26 selected direct escape descending-neuron targets;
directed LC4-to-output pathways… See the full description on the dataset page: https://huggingface.co/datasets/Tubban/flyeye-escape-neuron-v1.neuronneuronovo-utc-data-glue-mnlidetails_Iker__Neurona-2bdetails_Neuronovo__neuronovo-7B-v0.1
Dataset Card for Evaluation run of Neuronovo/neuronovo-7B-v0.1
Dataset automatically created during the evaluation run of model Neuronovo/neuronovo-7B-v0.1 on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_Neuronovo__neuronovo-7B-v0.1.llama8b-layer15-meta-neurons
Llama8B Meta-Neurons
This repository contains meta-neuron data accompanying the paper Learning a Generative Meta-Model of LLM Activations.
Project page: https://generative-latent-prior.github.io
Code: https://github.com/g-luo/generative_latent_prior
Quick Start
With this data, you can browse the 98304 meta-neurons of the Llama-3.1-8B GLP (glp-llama8b-d6, Layer 15).
Meta-neurons are the post-SwiGLU activations of the GLP's MLP blocks. For each meta-neuron… See the full description on the dataset page: https://huggingface.co/datasets/generative-latent-prior/llama8b-layer15-meta-neurons.coffee_sales_dataneuronav-dp-r14-unity
NeuroNav R14 Unity player and eight maps
Linux x86_64 Unity player tree used for real R14 navigation rollout, plus the
eight fixed evaluation map PNGs. Crash dumps and desktop metadata are excluded;
runtime files are hash listed in manifest.json.