datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
in-context-grid-reasoning
In-Context Grid Reasoning (ICGR)
A small, fully synthetic benchmark for demonstration-conditioned rule induction:
each task shows 2–4 (input grid → output grid) support pairs that share one
hidden transformation, and the model must apply the same transformation to a
held-out query input.
It targets the same behaviour probed by recent in-context / latent-reasoning work
on ARC-AGI (e.g. BDH-CQ: In-Context Learning with Recurrent Latent Reasoning,
arXiv:2608.09888), but is… See the full description on the dataset page: https://huggingface.co/datasets/WhySoCodius/in-context-grid-reasoning.BCI-grid-movement-v1
BCI Grid Movement Intent Dataset
UNDER DEVELOPMENT for TESTING purposes
This dataset was generated with the gym located in /gym/ folder of this repo.The dataset contains synchronized movement intent data collected from a grid training environment designed for simulated
BCI research. Dataset for multi-label classification of WASD movement intents from 12 simulated EEG channels in grid environment.
This BCI Intent Data Study (conceptual early design) is for training machine… See the full description on the dataset page: https://huggingface.co/datasets/webxos/BCI-grid-movement-v1.CogSwitch-GridPuzzle-ReasoningSee the Git repo for more information.
Data format:Each file contains a list of question-reasoning pairs.E.g. from 341.json:
[
{
"id": 980,
"question": "The California condor ...",
"answer": "\n<recall>Clue #5 states ..."
},
...
]
There are roughly 5k question-answer pairs of increasing length between files. The reasoning chains were generated using GPT-4o-mini, and guided using the hints from the original GridPuzzle dataset. These chains have not been verified to be sound… See the full description on the dataset page: https://huggingface.co/datasets/Alex-Guha/CogSwitch-GridPuzzle-Reasoning.lwm-spectro-gridstftdatacenters
Cloud Datacenter Locations
This dataset tracks the locations of datacenters operated by large cloud providers (AWS, Azure, GCP) with each cloud provider having their own json file.
It based on my research collected from publicly available information.
Accuracy of locations
The granularity of each entry's location is recorded explicitly (see geoPrecision below).
Cloud providers will provide region or zone as options while procuring their services, these refer to a… See the full description on the dataset page: https://huggingface.co/datasets/GridGrapher/datacenters.hatch-registrygridguard-instruct
GridGuard-Instruct Dataset
Overview
GridGuard-Instruct is a specialized dataset designed to train Large Language Models (LLMs) to act as autonomous Transmission System Operators (TSOs).
It contains 500+ synthetic examples of critical grid contingencies (Thermal Overloads, Voltage Collapses, Generator Trips) paired with correct, physics-compliant control actions in a structured JSON format.
Use Cases
Fine-tuning Agents: Train Llama-3 or Mistral to output valid… See the full description on the dataset page: https://huggingface.co/datasets/AnneshaChowdhury/gridguard-instruct.electrical-grid-disaster-assessment-50k
Electrical Grid Disaster Assessment Dataset
This dataset contains synthetic supervised training examples for electrical grid assessment and disaster management during natural hazards.
Files
electrical_grid_disaster_training_data_50k.json
electrical_grid_disaster_training_data_50k.jsonl
Schema
Each record contains:
sample_id
instruction
input
output
quality_checks
The dataset is designed for model training tasks such as severity assessment, restoration… See the full description on the dataset page: https://huggingface.co/datasets/naidukr/electrical-grid-disaster-assessment-50k.math_logic_puzzles_blocked_grid_level_4math_logic_puzzles_grid_rook_level_3math_logic_puzzles_grid_chip_level_4math_logic_puzzles_grid_rook_level_1math_logic_puzzles_grid_knight_level_1math_logic_puzzles_grid_chip_7B_test_outmath_logic_puzzles_grid_rook_level_4math_logic_puzzles_blocked_grid_level_2pqc-ssl-scans
PQC Vulnerability Scan Dataset
SSL/TLS certificate scans of 45 major finance, healthcare, and government domains, scored for post-quantum cryptography (PQC) migration urgency.
Dataset Description
Each row represents a live SSL certificate scan performed on 2026-03-24 using hiero-cli-pqc.
Features
Feature
Type
Description
domain
string
Scanned domain name
key_algorithm
string
Public key algorithm (RSA, ECDSA, Ed25519)
key_size
int
Key size in bits… See the full description on the dataset page: https://huggingface.co/datasets/Q-GRID/pqc-ssl-scans.math_logic_puzzles_grid_chip_level_2math_logic_puzzles_grid_chip_level_3math_logic_puzzles_grid_rook_level_2math_logic_puzzles_grid_rook_level_5math_logic_puzzles_grid_chip_level_1math_logic_puzzles_grid_knight_level_2math_logic_puzzles_grid_knight_level_5math_logic_puzzles_grid_knight_level_3math_logic_puzzles_grid_chip_7B_test_inmath_logic_puzzles_grid_chip_7B_trainmath_logic_gridworld_rookmove_trainmath_logic_puzzles_blocked_grid_level_3math_logic_puzzles_blocked_grid_level_1