neuron
Datasets
All datasets matching “neuron”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.