gom
Datasets
All datasets matching “gom”go-ml-complation
Go full-line completion dataset (go/types)
Caret-based full-line completion samples extracted from permissively licensed Go repositories with the goflc builder
(Go go/parser + go/types). Each sample is an exact editor position: left_context ends at the caret, target_text
is the rest of the physical line (no newline, trailing whitespace excluded), right_context follows it. Original source
is reconstructable from offsets (byte offsets as used by Go tooling, plus UTF-16 offsets for… See the full description on the dataset page: https://huggingface.co/datasets/dvislobokov/go-ml-complation.MM-GAGGO-MO
GO-MO: A large-scale graph-augmented traffic dataset for data-driven spatio-temporal traffic analysis
This is the official dataset repository for the GO-MO traffic dataset.
The GO-MO dataset is a traffic dataset extracted from the publicly available Open Data Portal of the City Council of Madrid (Spain).
GO-MO comprises more than 1.5 billion records of three traffic-related metrics together with spatio-temporal data and metadata, spanning a ten-year period (2015-2024).… See the full description on the dataset page: https://huggingface.co/datasets/dmariaa70/GO-MO.Gomoku
Datacard: Gomoku (Five in a Row) AI Dataset
Dataset Description
Dataset Summary
The Gomoku (Five in a Row) AI Dataset contains board states and moves from 875 self-played Gomoku games, totaling 26,378 training examples. The data was generated using WinePy, a Python implementation of the Wine Gomoku AI engine. Each example consists of a board state and the corresponding optimal next move as determined by an alpha-beta search algorithm with pattern recognition.… See the full description on the dataset page: https://huggingface.co/datasets/Karesis/Gomoku.iron-mind-data
Iron Mind Benchmark Dataset
📄 Paper | 🏠 Project Page | 💻 Code
Dataset Overview
The Iron Mind benchmark evaluates the performance of optimization strategies on chemical reaction optimization tasks. This dataset is designed to facilitate research in AI-driven chemical discovery and compare the effectiveness of different optimization approaches. The preprint can be found on arXiv: https://arxiv.org/abs/2509.00103.
Dataset Structure
The… See the full description on the dataset page: https://huggingface.co/datasets/gomesgroup/iron-mind-data.go-mf
Overview
Gene Ontology (GO) is a database of gene-level functional annotations. This specific dataset collects the molecular function and activities of specific genes. The GO exists as a heirarchy, and we subset to GO terms at most 3 levels away from the molecular function root.
This dataset is redistributed as part of mRNABench: https://github.com/morrislab/mRNABench
Data Format
Description of data columns:
target: Multihot label indicating GO terms applicable to… See the full description on the dataset page: https://huggingface.co/datasets/morrislab/go-mf.