datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gridline-chartqa
Adaption Charts P2 — Gold Chart-QA Dataset
A verified, quality-first chart question-answering dataset built for the
Adaption Labs AutoScientist Challenge (Part 2, Data Visualization track).
Two sources: a programmatically generated synthetic core
(correct-by-construction) and a hand-authored hardset built from real
public dashboards and reports.
At a glance
1415 rows total — 1317 synthetic + 98 hardset
7 chart types — bar, line, grouped_bar, stacked_bar, pie… See the full description on the dataset page: https://huggingface.co/datasets/vinod-anbalagan/gridline-chartqa.logic-grid-puzzles-training-pool
Logic grid puzzles training pool
Logic grid puzzles: a row of positions, a handful of attributes with one value per position, and a
list of clues that together admit exactly one arrangement. Two sets drawn for this pool by
generators run here under the seeds recorded below, and two public datasets read at the pinned
revisions named below, laid out twice. Train on either layer or on both.
pool.jsonl
Every source rewritten into one shape, 390945 rows, one JSON… See the full description on the dataset page: https://huggingface.co/datasets/Emulated-Inc/logic-grid-puzzles-training-pool.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.COCO_GridQA
COCO-GridQA Dataset
Overview
The COCO-GridQA dataset is a derived dataset created from the COCO (Common Objects in Context) validation set. It focuses on spatial reasoning tasks by arranging object crops from COCO images into a 2x2 grid and providing question-answer pairs about the positions of objects within the grid.
This dataset is designed for tasks such as spatial reasoning, visual question answering (VQA), and object localization. Each sample consists of:
A… See the full description on the dataset page: https://huggingface.co/datasets/hoveringgull/COCO_GridQA.gridllm-ng-instructions
Dataset Card for GridLLM-NG Instructions
Dataset Summary
The GridLLM-NG Instruction Dataset is a curated, research-grade resource designed to instruction-tune Large Language Models (LLMs) for the Nigerian electricity grid and power sector. It bridges the gap between general-purpose LLMs and highly specialized power systems engineering and regulatory knowledge.
The dataset contains a rich mixture of real-world operational guidelines, regulatory clauses, and… See the full description on the dataset page: https://huggingface.co/datasets/Giwabestie/gridllm-ng-instructions.