--- # Dataset card metadata — https://huggingface.co/docs/hub/datasets-cards pretty_name: TIG Challenges Data license: mit language: - en tags: - optimization - benchmark - combinatorial-optimization - tig size_categories: - 10K/instances/` — `*.txt` instances under splits such as `TIG/`, `standard-QKP/`, `TeamFormation-QKP/`, `Dispersion-QKP/` (knapsack), `tig/`, `fjsp/`, `jsp/` (job scheduling), `TIG/` (vehicle routing), etc. | | **Best-known values** | `knapsack/instances/bks.csv`, `job_scheduling/instances/bks.csv`, `vehicle_routing/instances/bks.csv`, plus any BKS CSVs alongside specific academic splits under `instances/`. | | **Plots** | `/plots/*.png` — convergence or summary figures when present. | | **Solutions** | `/solutions/` — published `.solution` files (and optional snapshots) mirroring instance paths where bundled, plus any exported `runs.csv`. | Challenges: **knapsack**, **job_scheduling**, **vehicle_routing**. Not every challenge includes all of plots, solutions, and every split in a given clone. ## Hugging Face Dataset hub entry: [tig-foundation/tig-challenges-data](https://huggingface.co/datasets/tig-foundation/tig-challenges-data). You can mirror this tree with: ```bash git clone https://huggingface.co/datasets/tig-foundation/tig-challenges-data ``` ## Citation ```bibtex @misc{tig-challenges-2026, title={TIG Challenges: Benchmarks for AI-Driven Algorithm Discovery}, author={{TIG Foundation}}, year={2026}, url={https://huggingface.co/datasets/tig-foundation/tig-challenges-data} } ```